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3
Mappings
9
Pathophys.
1
Histopath.
7
Phenotypes
10
Pathograph
5
Genes
8
Medical Actions
4
Subtypes
23
References
1
Deep Research
🏷

Classifications

Harrison's Chapter
ONCOLOGY_HEMATOLOGY GASTROINTESTINAL
ICD-O Morphology
Carcinoma
🔗

Mappings

MONDO
MONDO:0007256 hepatocellular carcinoma
skos:exactMatch MONDO
MONDO provides an exact disease term for hepatocellular carcinoma.
NCIT
NCIT:C3099 Hepatocellular Carcinoma
skos:exactMatch NCIT
NCIT provides an exact neoplasm term for hepatocellular carcinoma.
ICD-10-CM
ICD10CM:C22.0 Liver cell carcinoma
skos:exactMatch ICD-10-CM
ICD-10-CM provides an exact code for liver cell carcinoma / hepatocellular carcinoma.
NCIT
NCIT:C3099 Hepatocellular Carcinoma
skos:exactMatch NCIT
NCIT provides an exact neoplasm term for hepatocellular carcinoma.

Subtypes

4
Viral Hepatitis-Associated HCC
HCC arising in the context of chronic hepatitis B or C infection. HBV can be directly oncogenic through viral integration, while HCV promotes HCC primarily through cirrhosis and chronic inflammation.
Alcohol-Related HCC
HCC arising in alcohol-related liver disease and cirrhosis. Associated with specific molecular features and generally presents at more advanced stage.
MASLD-Associated HCC
HCC arising in metabolic dysfunction-associated steatotic liver disease (formerly NAFLD/NASH). Increasingly common subtype that can occur even without cirrhosis. May have distinct immune microenvironment features affecting immunotherapy response.
Fibrolamellar HCC NCIT:C4131
Rare variant occurring in younger patients without cirrhosis. Characterized by DNAJB1-PRKACA fusion. Distinct clinical behavior and treatment considerations.
NCIT: Fibrolamellar Carcinoma (skos:closeMatch) NCIT:C4131

Pathophysiology

9
Chronic Liver Injury and Cirrhosis
Most HCC arises in the context of chronic liver disease and cirrhosis. Persistent hepatocyte death and regeneration in an inflammatory environment promotes accumulation of genetic alterations. Cirrhosis itself is a premalignant condition with ongoing oxidative stress and genomic instability.
hepatocyte CL:0000182
Show evidence (1 reference)
PMID:41567639 PARTIAL
"HCC typically arises in patients with chronic liver disease, including hepatitis, cirrhosis, and non-alcoholic fatty liver diseases."
This abstract states that HCC commonly arises in chronic liver disease and cirrhosis, supporting the mechanism described.
Telomere Dysfunction and Genomic Instability
Chronic hepatocyte proliferation leads to telomere shortening, causing genomic instability. TERT promoter mutations, which are the most common HCC mutations, reactivate telomerase to enable unlimited replication. This creates a checkpoint bypass allowing survival of genetically unstable cells.
telomere maintenance GO:0000723 ⚠ ABNORMAL
Accumulation of Driver Mutations
Multiple driver genes are recurrently mutated in HCC, including TERT promoter (60%), TP53 (30%), CTNNB1 (30%), AXIN1 (10%), and ARID1A (10%). These mutations affect telomere maintenance, cell cycle control, WNT signaling, and chromatin remodeling.
DNA repair GO:0006281 ↓ DECREASED
WNT/Beta-Catenin Pathway Activation
Activating mutations in CTNNB1 (beta-catenin) or inactivating mutations in AXIN1 lead to constitutive WNT pathway activation. This drives cell proliferation and is associated with a distinct molecular subclass of HCC with specific clinical features including cholestasis and immune exclusion.
Wnt signaling pathway GO:0016055 ↑ INCREASED
PI3K/AKT/mTOR Pathway Activation
PI3K/AKT/mTOR signaling is a recurrent oncogenic axis in HCC. PI3K/Akt activation is reported in 40-60% of HCC tissue, and dysregulated pathway-associated genes and upstream receptor inputs increase AKT/TOR signaling, supporting hepatocyte survival, anabolic growth, proliferation, and immune infiltration patterns relevant to targeted therapy and immunotherapy response.
TOR signaling GO:0031929 ↑ INCREASED phosphatidylinositol-mediated signaling GO:0048015 ↑ INCREASED
Show evidence (2 references)
PMID:29984212 SUPPORT Human Clinical
"The signaling pathways known to be activated in HCC tissue include the Wnt/β-catenin pathway (up to 50% of HCC), the phosphatidylinositol-3-kinase and protein kinase B (PI3K/Akt) pathway (40–60% of HCC), the Myc pathway (30–60%), the Hedgehog pathway (50–60%), and the MET pathway (30–40%)."
This review summarizes human HCC tissue data and supports recurrent PI3K/Akt activation in a large fraction of HCC.
PMID:35592706 SUPPORT Computational
"The dysregulated PI3K/AKT/mTOR pathway acts as the main regulator of tumorigenesis in hepatocellular carcinoma (HCC)."
This bioinformatic HCC cohort analysis directly supports PI3K/AKT/mTOR dysregulation as an oncogenic signaling axis and links pathway-associated gene signatures to immune infiltration.
TP53 Pathway Inactivation
TP53 mutations are common in HCC, particularly in HBV-associated and aflatoxin-associated tumors. Loss of p53 function removes a critical checkpoint, allowing survival of cells with DNA damage and promoting genomic instability.
apoptotic process GO:0006915 ↓ DECREASED
Enhanced Hepatocyte Proliferation
Combined effects of telomerase reactivation, cell cycle checkpoint loss, and mitogenic signaling drive uncontrolled hepatocyte proliferation and tumor growth.
cell population proliferation GO:0008283 ↑ INCREASED
Angiogenesis and VEGF Signaling
HCC is a highly vascular tumor dependent on angiogenesis. VEGF signaling promotes new blood vessel formation supplying the tumor. VEGF also has immunosuppressive effects, contributing to the immune-excluded microenvironment. This provides the rationale for anti-VEGF therapy in combination with immunotherapy.
angiogenesis GO:0001525 ↑ INCREASED
Show evidence (1 reference)
PMID:19637355 SUPPORT
"Hepatocellular carcinoma (HCC) is a highly vascular tumor, and angiogenesis is believed to play a considerable role in its development and progression."
Abstract notes HCC is highly vascular and angiogenesis plays a major role, supporting this mechanism.
Immune Evasion and Immunosuppressive Microenvironment
HCC develops in a chronically inflamed liver with an inherently immunosuppressive microenvironment. Tumor cells upregulate PD-L1, VEGF-mediated immunosuppression excludes effector T cells, and recruitment of regulatory T cells, myeloid-derived suppressor cells, and tumor-associated macrophages creates an immune-tolerant niche. The combination of anti-PD-L1 with anti-VEGF addresses both the checkpoint-mediated and VEGF-mediated immunosuppression.
CD8-positive, alpha-beta T cell CL:0000625
Negative Regulation of T Cell Mediated Immunity GO:0002710 ↑ INCREASED
Show evidence (1 reference)
PMID:32158599 SUPPORT Other
"The HCC tumor microenvironment is characterized by a dysfunction of the immune system through multiple mechanisms, including accumulation of various immunosuppressive factors, recruitment of regulatory T cells and myeloid-derived suppressor cells, and induction of T cell exhaustion accompanied..."
Review specifically describes HCC's immunosuppressive microenvironment including Treg and MDSC recruitment, T cell exhaustion, and checkpoint ligand-receptor interactions — directly supporting all claims in this node about HCC immune evasion mechanisms.

Histopathology

1
Hepatocellular Carcinoma VERY_FREQUENT
Hepatocellular carcinoma is the most common primary liver malignancy.
Show evidence (1 reference)
PMID:27785449 SUPPORT
"Hepatocellular carcinoma (HCC) is the most common primary liver malignancy"
Abstract states that HCC is the most common primary liver malignancy.

Pathograph

Use the checkboxes to hide or show graph categories. Hover nodes for evidence and cross-linked metadata.
Pathograph: causal mechanism network for Hepatocellular Carcinoma Interactive directed graph showing how pathophysiology mechanisms, phenotypes, genetic factors and variants, experimental models, environmental triggers, and treatments relate through causal and linked edges.

Phenotypes

7
Digestive 4
Hepatomegaly FREQUENT Hepatomegaly HP:0002240
Ascites FREQUENT Ascites HP:0001541
Jaundice OCCASIONAL Jaundice HP:0000952
Nausea FREQUENT Nausea HP:0002018
Constitutional 2
Abdominal Pain FREQUENT Abdominal pain HP:0002027
Fatigue VERY_FREQUENT Fatigue HP:0012378
Growth 1
Weight Loss VERY_FREQUENT Weight loss HP:0001824
🧬

Genetic Associations

5
TERT Promoter (Somatic Activating Mutation)
TP53 (Somatic Loss of Function)
CTNNB1 (Somatic Activating Mutation)
AXIN1 (Somatic Loss of Function)
ARID1A (Somatic Loss of Function)
💊

Medical Actions

8
Atezolizumab plus Bevacizumab
Action: immunotherapy Ontology label: Immunotherapy NCIT:C15262
Agent: atezolizumab NCIT:C106250 bevacizumab NCIT:C2039
First-line standard of care for unresectable HCC based on IMbrave150 trial. Anti-PD-L1 (atezolizumab) combined with anti-VEGF (bevacizumab) demonstrated superior overall survival compared to sorafenib. Requires adequate liver function (Child-Pugh A) and no high-risk varices. Immunotherapy trials in HCC require careful interpretation due to delayed treatment effects and potential violations of proportional hazard assumptions, which may affect the apparent magnitude of benefit from surrogate endpoints like PFS.
Mechanism Target:
INHIBITS Immune Evasion and Immunosuppressive Microenvironment — Atezolizumab (anti-PD-L1) blocks PD-L1-mediated T cell suppression while bevacizumab (anti-VEGF) reverses VEGF-mediated immunosuppression, together restoring anti-tumor immunity in HCC.
Show evidence (1 reference)
PMID:39687036 SUPPORT Human Clinical
"Atezolizumab plus bevacizumab significantly improved overall survival (OS) and progression-free survival (PFS) versus sorafenib"
Superior outcomes with combined anti-PD-L1/anti-VEGF demonstrate that targeting both checkpoint-mediated and VEGF-mediated immunosuppression is effective in HCC.
INHIBITS Angiogenesis and VEGF Signaling — Bevacizumab directly inhibits VEGF-driven angiogenesis that sustains HCC tumor growth.
Show evidence (1 reference)
PMID:32402160 SUPPORT Human Clinical
"atezolizumab combined with bevacizumab resulted in better overall and progression-free survival outcomes than sorafenib."
The IMbrave150 trial established the anti-VEGF antibody bevacizumab (combined with atezolizumab) as effective first-line therapy, supporting its action on the angiogenesis/VEGF-signaling node in HCC.
Show evidence (2 references)
PMID:39687036 SUPPORT Human Clinical
"Atezolizumab plus bevacizumab significantly improved overall survival (OS) and progression-free survival (PFS) versus sorafenib"
IMbrave150 abstract reports improved overall and progression-free survival with atezolizumab plus bevacizumab versus sorafenib.
PMID:42184925 PARTIAL Other
"immunotherapy has introduced challenges to traditional statistical models through delayed treatment effects and violations of the proportional hazard assumption"
This methodology review highlights critical interpretation issues for immunotherapy trials in HCC, including delayed treatment effects and proportional hazards violations that affect OS and PFS endpoint validity in IMbrave150 and similar trials.
Durvalumab plus Tremelimumab
Action: immunotherapy Ontology label: Immunotherapy NCIT:C15262
Agent: durvalumab NCIT:C103194 tremelimumab NCIT:C49085
Alternative first-line immunotherapy option. HIMALAYA trial demonstrated durvalumab (anti-PD-L1) with single priming dose of tremelimumab (anti-CTLA-4) improves survival compared to sorafenib. Option for patients who cannot receive bevacizumab. Like other HCC immunotherapy trials, trial interpretation requires careful consideration of delayed treatment effects and proportional hazards violations when assessing surrogate endpoints.
Mechanism Target:
INHIBITS Immune Evasion and Immunosuppressive Microenvironment — Durvalumab (anti-PD-L1) blocks adaptive immune resistance while tremelimumab (anti-CTLA-4) priming dose expands the T cell repertoire, together overcoming the immunosuppressive HCC microenvironment.
Show evidence (1 reference)
PMID:38382875 SUPPORT Human Clinical
"STRIDE (Single Tremelimumab Regular Interval Durvalumab) significantly improved overall survival (OS) versus sorafenib; durvalumab monotherapy was noninferior to sorafenib for OS."
The phase III HIMALAYA study shows dual anti-CTLA-4/anti-PD-L1 blockade (STRIDE) improves survival, supporting its action on the immune-evasion and immunosuppressive-microenvironment node in HCC.
Show evidence (2 references)
PMID:38382875 SUPPORT Human Clinical
"STRIDE (Single Tremelimumab Regular Interval Durvalumab) significantly improved overall survival (OS) versus sorafenib; durvalumab monotherapy was noninferior to sorafenib for OS."
The phase III HIMALAYA trial provides primary efficacy evidence that the STRIDE regimen (durvalumab plus a single priming dose of tremelimumab) significantly improved overall survival versus sorafenib, directly anchoring the efficacy claim in the treatment description.
PMID:42184925 PARTIAL Other
"The validity of surrogate endpoints in hepatocellular carcinoma remains debated due to tumor heterogeneity, competing risks related to liver disease, and the influence of post‑progression therapies"
This methodology review clarifies critical context for HIMALAYA trial interpretation: surrogate endpoints (PFS, TTP, ORR) in HCC are complicated by tumor heterogeneity, competing risks from underlying cirrhosis, and post-progression therapy confounding, highlighting why OS improvement is particularly meaningful for durvalumab + tremelimumab.
Sorafenib
Action: targeted therapy Ontology label: Targeted Therapy NCIT:C93352
Agent: sorafenib CHEBI:50924
Multi-kinase inhibitor targeting RAF, VEGFR, and PDGFR. Was first systemic therapy to improve survival in HCC. Now used in second line or when immunotherapy is contraindicated.
Lenvatinib
Action: targeted therapy Ontology label: Targeted Therapy NCIT:C93352
Agent: lenvatinib CHEBI:85994
Multi-kinase inhibitor with activity against VEGFR, FGFR, PDGFR, RET, and KIT. Non-inferior to sorafenib in first line. Alternative when immunotherapy not appropriate.
Surgical Resection
Action: hepatic resection Ontology label: Hepatectomy NCIT:C15249
Potentially curative for early-stage HCC in patients with preserved liver function (Child-Pugh A). Limited by underlying cirrhosis in many patients. Requires adequate future liver remnant.
Liver Transplantation
Action: organ transplantation MAXO:0010039
Potentially curative treatment that addresses both tumor and underlying cirrhosis. Milan criteria (single tumor 5 cm or less or up to 3 tumors each 3 cm or less, no vascular invasion, no metastases) guide patient selection. Limited by organ availability.
Transarterial Chemoembolization (TACE)
Action: chemotherapy MAXO:0000647
Locoregional therapy delivering chemotherapy directly to tumor via hepatic artery followed by embolization. Standard for intermediate-stage HCC (BCLC-B). Can be used as bridge to transplant or with systemic therapy.
Radiofrequency/Microwave Ablation
Action: ablation therapy MAXO:0000452
Thermal ablation for small tumors (typically less than 3 cm). Effective alternative to resection for early-stage HCC, particularly in patients with limited liver function.
🔬

Biochemical Markers

3
Alpha-Fetoprotein (AFP)
Liver Function Tests
PIVKA-II (DCP)
{ }

Source YAML

click to show
name: Hepatocellular Carcinoma
creation_date: '2026-01-26T02:55:13Z'
updated_date: '2026-05-09T04:09:52Z'
description: >-
  Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, typically
  arising
  in the setting of chronic liver disease and cirrhosis. Major risk factors include
  chronic
  hepatitis B or C infection, alcohol-related liver disease, and metabolic dysfunction-associated
  steatotic liver disease (MASLD/NAFLD). HCC pathogenesis involves multiple molecular
  pathways
  including WNT/beta-catenin, TP53, telomere maintenance, and chromatin remodeling.
  The
  combination of atezolizumab (anti-PD-L1) plus bevacizumab (anti-VEGF) has established
  immunotherapy as first-line treatment for advanced HCC, based on the IMbrave150
  trial.
categories:
- Gastrointestinal Cancer
- Hepatobiliary Cancer
- Liver Cancer
parents:
- liver carcinoma
has_subtypes:
- name: Viral Hepatitis-Associated HCC
  description: >-
    HCC arising in the context of chronic hepatitis B or C infection. HBV can be directly
    oncogenic through viral integration, while HCV promotes HCC primarily through
    cirrhosis
    and chronic inflammation.
- name: Alcohol-Related HCC
  description: >-
    HCC arising in alcohol-related liver disease and cirrhosis. Associated with specific
    molecular features and generally presents at more advanced stage.
- name: MASLD-Associated HCC
  description: >-
    HCC arising in metabolic dysfunction-associated steatotic liver disease (formerly
    NAFLD/NASH).
    Increasingly common subtype that can occur even without cirrhosis. May have distinct
    immune microenvironment features affecting immunotherapy response.
- name: Fibrolamellar HCC
  description: >-
    Rare variant occurring in younger patients without cirrhosis. Characterized by
    DNAJB1-PRKACA
    fusion. Distinct clinical behavior and treatment considerations.
  mappings:
    ncit_mappings:
    - term:
        id: NCIT:C4131
        label: Fibrolamellar Carcinoma
      mapping_predicate: skos:closeMatch
      mapping_source: NCIT
      mapping_justification: NCIT provides a closely aligned fibrolamellar carcinoma term for this HCC subtype.
pathophysiology:
- name: Chronic Liver Injury and Cirrhosis
  description: >-
    Most HCC arises in the context of chronic liver disease and cirrhosis. Persistent
    hepatocyte death and regeneration in an inflammatory environment promotes accumulation
    of genetic alterations. Cirrhosis itself is a premalignant condition with ongoing
    oxidative stress and genomic instability.
  evidence:
  - reference: PMID:41567639
    reference_title: "Identification of novel germline and somatic mutations associated with hepatocellular carcinoma by next-generation sequencing."
    supports: PARTIAL
    snippet: HCC typically arises in patients with chronic liver disease, including hepatitis, cirrhosis, and non-alcoholic fatty liver diseases.
    explanation: This abstract states that HCC commonly arises in chronic liver disease and cirrhosis, supporting the mechanism described.
  cell_types:
  - preferred_term: hepatocyte
    term:
      id: CL:0000182
      label: hepatocyte
  locations:
  - preferred_term: liver
    term:
      id: UBERON:0002107
      label: liver
  downstream:
  - target: Telomere Dysfunction and Genomic Instability
    description: Repeated hepatocyte division leads to telomere shortening
  - target: Accumulation of Driver Mutations
    description: Chronic regeneration promotes mutation accumulation
- name: Telomere Dysfunction and Genomic Instability
  description: >-
    Chronic hepatocyte proliferation leads to telomere shortening, causing genomic
    instability.
    TERT promoter mutations, which are the most common HCC mutations, reactivate telomerase
    to enable unlimited replication. This creates a checkpoint bypass allowing survival
    of genetically unstable cells.
  biological_processes:
  - preferred_term: telomere maintenance
    modifier: ABNORMAL
    term:
      id: GO:0000723
      label: telomere maintenance
  downstream:
  - target: WNT/Beta-Catenin Pathway Activation
    description: Genomic instability promotes acquisition of pathway-activating mutations
- name: Accumulation of Driver Mutations
  description: >-
    Multiple driver genes are recurrently mutated in HCC, including TERT promoter
    (60%),
    TP53 (30%), CTNNB1 (30%), AXIN1 (10%), and ARID1A (10%). These mutations affect
    telomere maintenance, cell cycle control, WNT signaling, and chromatin remodeling.
  biological_processes:
  - preferred_term: DNA repair
    modifier: DECREASED
    term:
      id: GO:0006281
      label: DNA repair
  downstream:
  - target: PI3K/AKT/mTOR Pathway Activation
    description: Somatic and expression-level pathway changes select for oncogenic growth signaling.
- name: WNT/Beta-Catenin Pathway Activation
  description: >-
    Activating mutations in CTNNB1 (beta-catenin) or inactivating mutations in AXIN1
    lead to constitutive WNT pathway activation. This drives cell proliferation and
    is
    associated with a distinct molecular subclass of HCC with specific clinical features
    including cholestasis and immune exclusion.
  biological_processes:
  - preferred_term: Wnt signaling pathway
    modifier: INCREASED
    term:
      id: GO:0016055
      label: Wnt signaling pathway
  downstream:
  - target: Enhanced Hepatocyte Proliferation
    description: WNT signaling drives cell proliferation and stemness
- name: PI3K/AKT/mTOR Pathway Activation
  description: >-
    PI3K/AKT/mTOR signaling is a recurrent oncogenic axis in HCC. PI3K/Akt
    activation is reported in 40-60% of HCC tissue, and dysregulated
    pathway-associated genes and upstream receptor inputs increase AKT/TOR
    signaling, supporting hepatocyte survival, anabolic growth, proliferation, and
    immune infiltration patterns relevant to targeted therapy and immunotherapy
    response.
  biological_processes:
  - preferred_term: TOR signaling
    modifier: INCREASED
    term:
      id: GO:0031929
      label: TOR signaling
  - preferred_term: phosphatidylinositol-mediated signaling
    modifier: INCREASED
    term:
      id: GO:0048015
      label: phosphatidylinositol-mediated signaling
  evidence:
  - reference: PMID:29984212
    reference_title: Role of Wnt/β-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance.
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: >-
      The signaling pathways known to be activated in HCC tissue include the Wnt/β-catenin pathway (up to 50% of HCC), the phosphatidylinositol-3-kinase and protein kinase B (PI3K/Akt) pathway (40–60% of HCC), the Myc pathway (30–60%), the Hedgehog pathway (50–60%), and the MET pathway (30–40%).
    explanation: This review summarizes human HCC tissue data and supports recurrent PI3K/Akt activation in a large fraction of HCC.
  - reference: PMID:35592706
    reference_title: "PI3K/AKT/mTOR Pathway-Associated Genes Reveal a Putative Prognostic Signature Correlated with Immune Infiltration in Hepatocellular Carcinoma."
    supports: SUPPORT
    evidence_source: COMPUTATIONAL
    snippet: The dysregulated PI3K/AKT/mTOR pathway acts as the main regulator of tumorigenesis in hepatocellular carcinoma (HCC).
    explanation: >-
      This bioinformatic HCC cohort analysis directly supports PI3K/AKT/mTOR
      dysregulation as an oncogenic signaling axis and links pathway-associated
      gene signatures to immune infiltration.
  downstream:
  - target: Enhanced Hepatocyte Proliferation
    description: PI3K/AKT/mTOR activation promotes tumor-cell growth and survival signaling.
  - target: Immune Evasion and Immunosuppressive Microenvironment
    description: Pathway-associated signatures correlate with immune infiltration and checkpoint expression.
- name: TP53 Pathway Inactivation
  description: >-
    TP53 mutations are common in HCC, particularly in HBV-associated and aflatoxin-associated
    tumors. Loss of p53 function removes a critical checkpoint, allowing survival
    of cells
    with DNA damage and promoting genomic instability.
  biological_processes:
  - preferred_term: apoptotic process
    modifier: DECREASED
    term:
      id: GO:0006915
      label: apoptotic process
- name: Enhanced Hepatocyte Proliferation
  description: >-
    Combined effects of telomerase reactivation, cell cycle checkpoint loss, and
    mitogenic signaling drive uncontrolled hepatocyte proliferation and tumor growth.
  biological_processes:
  - preferred_term: cell population proliferation
    modifier: INCREASED
    term:
      id: GO:0008283
      label: cell population proliferation
- name: Angiogenesis and VEGF Signaling
  description: >-
    HCC is a highly vascular tumor dependent on angiogenesis. VEGF signaling promotes
    new blood vessel formation supplying the tumor. VEGF also has immunosuppressive
    effects, contributing to the immune-excluded microenvironment. This provides the
    rationale for anti-VEGF therapy in combination with immunotherapy.
  evidence:
  - reference: PMID:19637355
    reference_title: "Vascular endothelial growth factor in the management of hepatocellular carcinoma: a review of literature."
    supports: SUPPORT
    snippet: "Hepatocellular carcinoma (HCC) is a highly vascular tumor, and angiogenesis is believed to play a considerable role in its development and progression."
    explanation: "Abstract notes HCC is highly vascular and angiogenesis plays a major role, supporting this mechanism."
  biological_processes:
  - preferred_term: angiogenesis
    modifier: INCREASED
    term:
      id: GO:0001525
      label: angiogenesis
  downstream:
  - target: Immune Evasion and Immunosuppressive Microenvironment
    description: VEGF-mediated immunosuppression contributes to T cell exclusion and checkpoint upregulation
- name: Immune Evasion and Immunosuppressive Microenvironment
  conforms_to: "immune_checkpoint_blockade#Adaptive Immune Resistance"
  description: >-
    HCC develops in a chronically inflamed liver with an inherently
    immunosuppressive microenvironment. Tumor cells upregulate PD-L1,
    VEGF-mediated immunosuppression excludes effector T cells, and
    recruitment of regulatory T cells, myeloid-derived suppressor cells,
    and tumor-associated macrophages creates an immune-tolerant niche.
    The combination of anti-PD-L1 with anti-VEGF addresses both the
    checkpoint-mediated and VEGF-mediated immunosuppression.
  cell_types:
  - preferred_term: CD8-positive, alpha-beta T cell
    term:
      id: CL:0000625
      label: CD8-positive, alpha-beta T cell
  biological_processes:
  - preferred_term: Negative Regulation of T Cell Mediated Immunity
    term:
      id: GO:0002710
      label: negative regulation of T cell mediated immunity
    modifier: INCREASED
  evidence:
  - reference: PMID:32158599
    supports: SUPPORT
    evidence_source: OTHER
    snippet: >-
      The HCC tumor microenvironment is characterized by a dysfunction of
      the immune system through multiple mechanisms, including accumulation
      of various immunosuppressive factors, recruitment of regulatory T cells
      and myeloid-derived suppressor cells, and induction of T cell exhaustion
      accompanied with the interaction between immune checkpoint ligands and
      receptors.
    explanation: >-
      Review specifically describes HCC's immunosuppressive microenvironment
      including Treg and MDSC recruitment, T cell exhaustion, and checkpoint
      ligand-receptor interactions — directly supporting all claims in this
      node about HCC immune evasion mechanisms.
histopathology:
- name: Hepatocellular Carcinoma
  finding_term:
    preferred_term: Hepatocellular Carcinoma
    term:
      id: NCIT:C3099
      label: Hepatocellular Carcinoma
  frequency: VERY_FREQUENT
  description: Hepatocellular carcinoma is the most common primary liver malignancy.
  evidence:
  - reference: PMID:27785449
    reference_title: "Hepatocellular carcinoma: a review."
    supports: SUPPORT
    snippet: "Hepatocellular carcinoma (HCC) is the most common primary liver malignancy"
    explanation: Abstract states that HCC is the most common primary liver malignancy.

phenotypes:
- category: Hepatic
  name: Hepatomegaly
  frequency: FREQUENT
  description: >-
    Liver enlargement from tumor mass. May be palpable as a hard, irregular mass in
    the
    right upper quadrant.
  phenotype_term:
    preferred_term: Hepatomegaly
    term:
      id: HP:0002240
      label: Hepatomegaly
- category: Hepatic
  name: Ascites
  frequency: FREQUENT
  description: >-
    Abdominal fluid accumulation from portal hypertension (cirrhosis) and/or tumor-related
    factors. Presence indicates advanced disease and decompensated liver function.
  phenotype_term:
    preferred_term: Ascites
    term:
      id: HP:0001541
      label: Ascites
- category: Hepatic
  name: Jaundice
  frequency: OCCASIONAL
  description: >-
    Yellowing of skin and sclera from elevated bilirubin. May result from biliary
    obstruction
    by tumor, hepatic failure, or diffuse tumor infiltration.
  phenotype_term:
    preferred_term: Jaundice
    term:
      id: HP:0000952
      label: Jaundice
- category: Gastrointestinal
  name: Abdominal Pain
  frequency: FREQUENT
  description: >-
    Right upper quadrant pain or discomfort from liver capsule distension or tumor
    growth.
    Sudden severe pain may indicate tumor rupture.
  phenotype_term:
    preferred_term: Abdominal pain
    term:
      id: HP:0002027
      label: Abdominal pain
- category: Constitutional
  name: Weight Loss
  frequency: VERY_FREQUENT
  description: >-
    Unintentional weight loss is common in HCC due to cancer cachexia, reduced oral
    intake,
    and altered metabolism.
  phenotype_term:
    preferred_term: Weight loss
    term:
      id: HP:0001824
      label: Weight loss
- category: Constitutional
  name: Fatigue
  frequency: VERY_FREQUENT
  description: >-
    Fatigue from liver dysfunction, anemia, and cancer-related factors.
  phenotype_term:
    preferred_term: Fatigue
    term:
      id: HP:0012378
      label: Fatigue
- category: Gastrointestinal
  name: Nausea
  frequency: FREQUENT
  description: >-
    Nausea and anorexia from liver dysfunction and advanced disease.
  phenotype_term:
    preferred_term: Nausea
    term:
      id: HP:0002018
      label: Nausea
biochemical:
- name: Alpha-Fetoprotein (AFP)
  notes: >-
    Serum AFP is elevated in approximately 60% of HCC cases. Levels greater than 400
    ng/mL
    are highly specific for HCC in the setting of cirrhosis. Used for diagnosis (with
    imaging) and monitoring treatment response. AFP-L3 fraction improves specificity.
- name: Liver Function Tests
  notes: >-
    Elevated transaminases, alkaline phosphatase, and bilirubin may occur. Pattern
    depends
    on underlying liver disease and tumor burden. Child-Pugh score assesses hepatic
    reserve
    and guides treatment decisions.
- name: PIVKA-II (DCP)
  notes: >-
    Des-gamma-carboxy prothrombin is an alternative biomarker to AFP. May be elevated
    when AFP is normal. Useful in combination with AFP for surveillance and diagnosis.
diagnosis:
- name: Ultrasound and AFP Surveillance
  description: >-
    High-risk patients, especially those with cirrhosis or chronic HBV, are
    surveilled with repeated liver ultrasonography plus serum alpha-fetoprotein
    to detect HCC at an earlier, potentially curable stage.
  diagnosis_term:
    preferred_term: ultrasonography procedure
    term:
      id: MAXO:0000072
      label: ultrasonography procedure
  markers: Alpha-fetoprotein (AFP)
  results: Detection of a suspicious liver lesion or rising AFP prompts diagnostic cross-sectional imaging.
  evidence:
  - reference: DOI:10.3350/cmh.2024.0824
    reference_title: 'Hepatocellular carcinoma: updates on epidemiology, surveillance, diagnosis and treatment'
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: Biannual liver ultrasonography and serum α-fetoprotein are the primary surveillance tools for early HCC detection among high-risk patients (e.g., cirrhosis, chronic HBV).
    explanation: This review summarizes current surveillance practice using liver ultrasound plus AFP in high-risk patients.
- name: Multiphasic CT/MRI or Contrast-Enhanced Ultrasound Imaging Diagnosis
  description: >-
    In high-risk patients, HCC can be diagnosed noninvasively using guideline
    imaging algorithms such as LI-RADS/EASL that combine arterial phase
    hyperenhancement, washout, capsule, size, and growth features on
    contrast-enhanced CT, MRI, or ultrasound.
  diagnosis_term:
    preferred_term: clinical assessment
    term:
      id: MAXO:0000487
      label: clinical assessment
  results: LI-RADS or comparable guideline category consistent with definitive HCC.
  evidence:
  - reference: DOI:10.1007/s00330-024-10606-w
    reference_title: 'ESR Essentials: diagnosis of hepatocellular carcinoma—practice recommendations by ESGAR'
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: These allow the diagnosis of HCC in high-risk patients in the presence of typical imaging features on contrast-enhanced CT, MRI, or contrast-enhanced ultrasound.
    explanation: ESR/ESGAR practice recommendations summarize the noninvasive imaging context for HCC diagnosis.
  - reference: DOI:10.1007/s00330-024-10606-w
    reference_title: 'ESR Essentials: diagnosis of hepatocellular carcinoma—practice recommendations by ESGAR'
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: Size, non-rim arterial phase hyperenhancement, non-peripheral washout, enhancing capsule, and growth are major imaging features and they should be combined for the diagnosis of HCC.
    explanation: This supports the specific imaging features used in LI-RADS/EASL-style diagnostic algorithms.
- name: BCLC Staging Assessment
  description: >-
    Barcelona Clinic Liver Cancer staging integrates tumor burden, liver function,
    and performance status to classify HCC stage and guide treatment selection.
  diagnosis_term:
    preferred_term: clinical assessment
    term:
      id: MAXO:0000487
      label: clinical assessment
  results: BCLC stage assignment used for prognosis and treatment planning.
  evidence:
  - reference: DOI:10.1007/s12029-023-00961-0
    reference_title: 'Clinical Practice Guidelines For the Management of Hepatocellular Carcinoma: A Systematic Review'
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: Fourteen guidelines (67%) endorsed using the BCLC staging system.
    explanation: This systematic review of guidelines supports BCLC staging as a commonly endorsed HCC staging framework.
genetic:
- name: TERT Promoter
  association: Somatic Activating Mutation
  notes: >-
    TERT promoter mutations (C228T, C250T) are the most common genetic alterations
    in HCC,
    present in approximately 60% of cases. These mutations create binding sites for
    ETS
    transcription factors, reactivating telomerase expression and enabling unlimited
    cell division.
- name: TP53
  association: Somatic Loss of Function
  notes: >-
    TP53 mutations occur in approximately 30% of HCC, enriched in HBV-associated and
    aflatoxin-associated tumors. The R249S hotspot mutation is specifically associated
    with aflatoxin B1 exposure.
- name: CTNNB1
  association: Somatic Activating Mutation
  notes: >-
    CTNNB1 (beta-catenin) mutations occur in approximately 30% of HCC, causing constitutive
    WNT pathway activation. Associated with distinct clinical features including
    cholestasis and immune exclusion, potentially affecting immunotherapy response.
- name: AXIN1
  association: Somatic Loss of Function
  notes: >-
    AXIN1 inactivating mutations occur in approximately 10% of HCC, also activating
    WNT signaling. AXIN1 and CTNNB1 mutations are typically mutually exclusive.
- name: ARID1A
  association: Somatic Loss of Function
  notes: >-
    ARID1A mutations affect chromatin remodeling and occur in approximately 10% of
    HCC.
    Part of the SWI/SNF complex alterations seen across multiple cancer types.
treatments:
- name: Atezolizumab plus Bevacizumab
  description: >-
    First-line standard of care for unresectable HCC based on IMbrave150 trial. Anti-PD-L1
    (atezolizumab) combined with anti-VEGF (bevacizumab) demonstrated superior overall
    survival compared to sorafenib. Requires adequate liver function (Child-Pugh A)
    and no high-risk varices. Immunotherapy trials in HCC require careful interpretation due to
    delayed treatment effects and potential violations of proportional hazard assumptions,
    which may affect the apparent magnitude of benefit from surrogate endpoints like PFS.
  notes: >-
    HCC trial interpretation requires careful consideration of endpoint selection and
    validity of surrogates. Overall survival remains the most robust endpoint, though
    progression-free survival, time-to-progression, and objective response rate are
    frequently used to accelerate drug development. The validity of surrogate endpoints
    in HCC is debated due to tumor heterogeneity, competing risks related to liver disease
    (e.g., hepatic decompensation, hepatic encephalopathy), and the influence of
    post-progression therapies. Immunotherapy trials like IMbrave150 present additional
    challenges: delayed treatment effects that violate traditional proportional hazards
    assumptions and complex patterns of response not fully captured by conventional
    endpoint definitions. These methodological nuances should be considered when
    interpreting efficacy data and comparing trials with different endpoints and
    follow-up durations.
  evidence:
  - reference: PMID:39687036
    reference_title: "Efficacy and Safety of Atezolizumab plus Bevacizumab versus Sorafenib in Hepatocellular Carcinoma with Main Trunk and/or Contralateral Portal Vein Invasion in IMbrave150."
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: "Atezolizumab plus bevacizumab significantly improved overall survival (OS) and progression-free survival (PFS) versus sorafenib"
    explanation: "IMbrave150 abstract reports improved overall and progression-free survival with atezolizumab plus bevacizumab versus sorafenib."
  - reference: PMID:42184925
    reference_title: "Beyond hazard ratios: interpreting trial endpoints and survival analysis in systemic therapy for hepatocellular carcinoma."
    supports: PARTIAL
    evidence_source: OTHER
    snippet: "immunotherapy has introduced challenges to traditional statistical models through delayed treatment effects and violations of the proportional hazard assumption"
    explanation: >-
      This methodology review highlights critical interpretation issues for immunotherapy trials in HCC, including delayed treatment effects and proportional hazards violations that affect OS and PFS endpoint validity in IMbrave150 and similar trials.
  treatment_term:
    preferred_term: immunotherapy
    term:
      id: NCIT:C15262
      label: Immunotherapy
    therapeutic_agent:
    - preferred_term: atezolizumab
      term:
        id: NCIT:C106250
        label: Atezolizumab
    - preferred_term: bevacizumab
      term:
        id: NCIT:C2039
        label: Bevacizumab
  target_mechanisms:
  - target: Immune Evasion and Immunosuppressive Microenvironment
    treatment_effect: INHIBITS
    description: >-
      Atezolizumab (anti-PD-L1) blocks PD-L1-mediated T cell suppression
      while bevacizumab (anti-VEGF) reverses VEGF-mediated immunosuppression,
      together restoring anti-tumor immunity in HCC.
    evidence:
    - reference: PMID:39687036
      reference_title: "Efficacy and Safety of Atezolizumab plus Bevacizumab versus Sorafenib in Hepatocellular Carcinoma with Main Trunk and/or Contralateral Portal Vein Invasion in IMbrave150."
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: "Atezolizumab plus bevacizumab significantly improved overall survival (OS) and progression-free survival (PFS) versus sorafenib"
      explanation: >-
        Superior outcomes with combined anti-PD-L1/anti-VEGF demonstrate that
        targeting both checkpoint-mediated and VEGF-mediated immunosuppression
        is effective in HCC.
  - target: Angiogenesis and VEGF Signaling
    treatment_effect: INHIBITS
    description: >-
      Bevacizumab directly inhibits VEGF-driven angiogenesis that sustains
      HCC tumor growth.
    evidence:
    - reference: PMID:32402160
      reference_title: "Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma."
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: >-
        atezolizumab combined with bevacizumab resulted in better overall and
        progression-free survival outcomes than sorafenib.
      explanation: >-
        The IMbrave150 trial established the anti-VEGF antibody bevacizumab
        (combined with atezolizumab) as effective first-line therapy, supporting
        its action on the angiogenesis/VEGF-signaling node in HCC.
- name: Durvalumab plus Tremelimumab
  description: >-
    Alternative first-line immunotherapy option. HIMALAYA trial demonstrated durvalumab
    (anti-PD-L1) with single priming dose of tremelimumab (anti-CTLA-4) improves survival
    compared to sorafenib. Option for patients who cannot receive bevacizumab. Like other
    HCC immunotherapy trials, trial interpretation requires careful consideration of delayed treatment
    effects and proportional hazards violations when assessing surrogate endpoints.
  evidence:
  - reference: PMID:38382875
    reference_title: "Four-year overall survival update from the phase III HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma."
    supports: SUPPORT
    evidence_source: HUMAN_CLINICAL
    snippet: "STRIDE (Single Tremelimumab Regular Interval Durvalumab) significantly improved overall survival (OS) versus sorafenib; durvalumab monotherapy was noninferior to sorafenib for OS."
    explanation: >-
      The phase III HIMALAYA trial provides primary efficacy evidence that the STRIDE regimen (durvalumab plus a single priming dose of tremelimumab) significantly improved overall survival versus sorafenib, directly anchoring the efficacy claim in the treatment description.
  - reference: PMID:42184925
    reference_title: "Beyond hazard ratios: interpreting trial endpoints and survival analysis in systemic therapy for hepatocellular carcinoma."
    supports: PARTIAL
    evidence_source: OTHER
    snippet: "The validity of surrogate endpoints in hepatocellular carcinoma remains debated due to tumor heterogeneity, competing risks related to liver disease, and the influence of post‑progression therapies"
    explanation: >-
      This methodology review clarifies critical context for HIMALAYA trial interpretation: surrogate endpoints (PFS, TTP, ORR) in HCC are complicated by tumor heterogeneity, competing risks from underlying cirrhosis, and post-progression therapy confounding, highlighting why OS improvement is particularly meaningful for durvalumab + tremelimumab.
  treatment_term:
    preferred_term: immunotherapy
    term:
      id: NCIT:C15262
      label: Immunotherapy
    therapeutic_agent:
    - preferred_term: durvalumab
      term:
        id: NCIT:C103194
        label: Durvalumab
    - preferred_term: tremelimumab
      term:
        id: NCIT:C49085
        label: Tremelimumab
  target_mechanisms:
  - target: Immune Evasion and Immunosuppressive Microenvironment
    treatment_effect: INHIBITS
    description: >-
      Durvalumab (anti-PD-L1) blocks adaptive immune resistance while
      tremelimumab (anti-CTLA-4) priming dose expands the T cell repertoire,
      together overcoming the immunosuppressive HCC microenvironment.
    evidence:
    - reference: PMID:38382875
      reference_title: "Four-year overall survival update from the phase III HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma."
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: >-
        STRIDE (Single Tremelimumab Regular Interval Durvalumab) significantly
        improved overall survival (OS) versus sorafenib; durvalumab monotherapy
        was noninferior to sorafenib for OS.
      explanation: >-
        The phase III HIMALAYA study shows dual anti-CTLA-4/anti-PD-L1 blockade
        (STRIDE) improves survival, supporting its action on the immune-evasion
        and immunosuppressive-microenvironment node in HCC.
- name: Sorafenib
  description: >-
    Multi-kinase inhibitor targeting RAF, VEGFR, and PDGFR. Was first systemic therapy
    to improve survival in HCC. Now used in second line or when immunotherapy is
    contraindicated.
  treatment_term:
    preferred_term: targeted therapy
    term:
      id: NCIT:C93352
      label: Targeted Therapy
    therapeutic_agent:
    - preferred_term: sorafenib
      term:
        id: CHEBI:50924
        label: sorafenib
- name: Lenvatinib
  description: >-
    Multi-kinase inhibitor with activity against VEGFR, FGFR, PDGFR, RET, and KIT.
    Non-inferior to sorafenib in first line. Alternative when immunotherapy not appropriate.
  treatment_term:
    preferred_term: targeted therapy
    term:
      id: NCIT:C93352
      label: Targeted Therapy
    therapeutic_agent:
    - preferred_term: lenvatinib
      term:
        id: CHEBI:85994
        label: lenvatinib
- name: Surgical Resection
  description: >-
    Potentially curative for early-stage HCC in patients with preserved liver function
    (Child-Pugh A). Limited by underlying cirrhosis in many patients. Requires adequate
    future liver remnant.
  treatment_term:
    preferred_term: hepatic resection
    term:
      id: NCIT:C15249
      label: Hepatectomy
- name: Liver Transplantation
  description: >-
    Potentially curative treatment that addresses both tumor and underlying cirrhosis.
    Milan criteria (single tumor 5 cm or less or up to 3 tumors each 3 cm or less,
    no
    vascular invasion, no metastases) guide patient selection. Limited by organ availability.
  treatment_term:
    preferred_term: organ transplantation
    term:
      id: MAXO:0010039
      label: organ transplantation
- name: Transarterial Chemoembolization (TACE)
  description: >-
    Locoregional therapy delivering chemotherapy directly to tumor via hepatic artery
    followed by embolization. Standard for intermediate-stage HCC (BCLC-B). Can be
    used
    as bridge to transplant or with systemic therapy.
  treatment_term:
    preferred_term: chemotherapy
    term:
      id: MAXO:0000647
      label: chemotherapy
- name: Radiofrequency/Microwave Ablation
  description: >-
    Thermal ablation for small tumors (typically less than 3 cm). Effective alternative
    to resection for early-stage HCC, particularly in patients with limited liver
    function.
  treatment_term:
    preferred_term: ablation therapy
    term:
      id: MAXO:0000452
      label: ablation therapy
disease_term:
  preferred_term: hepatocellular carcinoma
  term:
    id: MONDO:0007256
    label: hepatocellular carcinoma
mappings:
  mondo_mappings:
  - term:
      id: MONDO:0007256
      label: hepatocellular carcinoma
    mapping_predicate: skos:exactMatch
    mapping_source: MONDO
    mapping_justification: MONDO provides an exact disease term for hepatocellular carcinoma.
  icd10cm_mappings:
  - term:
      id: ICD10CM:C22.0
      label: Liver cell carcinoma
    mapping_predicate: skos:exactMatch
    mapping_source: ICD-10-CM
    mapping_justification: ICD-10-CM provides an exact code for liver cell carcinoma / hepatocellular carcinoma.
  ncit_mappings:
  - term:
      id: NCIT:C3099
      label: Hepatocellular Carcinoma
    mapping_predicate: skos:exactMatch
    mapping_source: NCIT
    mapping_justification: NCIT provides an exact neoplasm term for hepatocellular carcinoma.

classifications:
  icdo_morphology:
    classification_value: Carcinoma
  harrisons_chapter:
  - classification_value: ONCOLOGY_HEMATOLOGY
    evidence:
    - reference: DOI:10.1007/s00330-024-10606-w
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: "Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide."
      explanation: ESR/ESGAR practice recommendations characterise HCC as a primary hepatic malignancy and a leading cancer cause of death, anchoring the Harrison's Oncology and Hematology classification.
  - classification_value: GASTROINTESTINAL
    evidence:
    - reference: DOI:10.1007/s00330-024-10606-w
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: "Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide."
      explanation: The same review locates HCC in the liver, supporting an additional Harrison's Gastrointestinal classification since hepatic cancers are addressed in the GI Part.
references:
- reference: DOI:10.1007/s00330-024-10606-w
  title: 'ESR Essentials: diagnosis of hepatocellular carcinoma—practice recommendations by ESGAR'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide.
    supporting_text: Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide.
    evidence:
    - reference: DOI:10.1007/s00330-024-10606-w
      reference_title: 'ESR Essentials: diagnosis of hepatocellular carcinoma—practice recommendations by ESGAR'
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.1007/s12029-023-00961-0
  title: 'Clinical Practice Guidelines For the Management of Hepatocellular Carcinoma: A Systematic Review'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, including Australia.
    supporting_text: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, including Australia.
    evidence:
    - reference: DOI:10.1007/s12029-023-00961-0
      reference_title: 'Clinical Practice Guidelines For the Management of Hepatocellular Carcinoma: A Systematic Review'
      supports: SUPPORT
      evidence_source: OTHER
      snippet: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, including Australia.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.1159/000539371
  title: EASL-EASD-EASO Clinical Practice Guidelines on the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: EASL-EASD-EASO Clinical Practice Guidelines on the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
    supporting_text: Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed non-alcoholic fatty liver disease (NAFLD), is defined as steatotic liver disease (SLD) in the presence of one or more cardiometabolic risk factor(s) and the absence of harmful alcohol intake.
    evidence:
    - reference: DOI:10.1159/000539371
      reference_title: EASL-EASD-EASO Clinical Practice Guidelines on the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
      supports: SUPPORT
      evidence_source: OTHER
      snippet: Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed non-alcoholic fatty liver disease (NAFLD), is defined as steatotic liver disease (SLD) in the presence of one or more cardiometabolic risk factor(s) and the absence of harmful alcohol intake.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.1186/s12885-023-11112-w
  title: 'Efficacy and safety of atezolizumab plus bevacizumab treatment for advanced hepatocellular carcinoma in the real world: a single-arm meta-analysis'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Atezolizumab plus bevacizumab was approved in 2020 as a first-line treatment for advanced hepatocellular carcinoma (HCC).
    supporting_text: Atezolizumab plus bevacizumab was approved in 2020 as a first-line treatment for advanced hepatocellular carcinoma (HCC).
    evidence:
    - reference: DOI:10.1186/s12885-023-11112-w
      reference_title: 'Efficacy and safety of atezolizumab plus bevacizumab treatment for advanced hepatocellular carcinoma in the real world: a single-arm meta-analysis'
      supports: SUPPORT
      evidence_source: OTHER
      snippet: Atezolizumab plus bevacizumab was approved in 2020 as a first-line treatment for advanced hepatocellular carcinoma (HCC).
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.1186/s12885-024-12407-2
  title: Genomic profiling informs therapies and prognosis for patients with hepatocellular carcinoma in clinical practice
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma (HCC) genomic research has discovered actionable genetic changes that might guide treatment decisions and clinical trials.
    supporting_text: Hepatocellular carcinoma (HCC) genomic research has discovered actionable genetic changes that might guide treatment decisions and clinical trials.
    evidence:
    - reference: DOI:10.1186/s12885-024-12407-2
      reference_title: Genomic profiling informs therapies and prognosis for patients with hepatocellular carcinoma in clinical practice
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Hepatocellular carcinoma (HCC) genomic research has discovered actionable genetic changes that might guide treatment decisions and clinical trials.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.1186/s12920-024-01965-w
  title: Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing
    supporting_text: Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing
- reference: DOI:10.1186/s12943-024-02062-3
  title: 'Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis.
    supporting_text: Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis.
    evidence:
    - reference: DOI:10.1186/s12943-024-02062-3
      reference_title: 'Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts'
      supports: SUPPORT
      evidence_source: OTHER
      snippet: Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.1200/jco.23.02745
  title: 'Systemic Therapy for Advanced Hepatocellular Carcinoma: ASCO Guideline Update'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC).
    supporting_text: To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC).
    evidence:
    - reference: DOI:10.1200/jco.23.02745
      reference_title: 'Systemic Therapy for Advanced Hepatocellular Carcinoma: ASCO Guideline Update'
      supports: SUPPORT
      evidence_source: OTHER
      snippet: To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC).
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.14744/hf.2023.2023.0028
  title: Cross talk between genetics and biochemistry in the pathogenesis of hepatocellular carcinoma
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Cross talk between genetics and biochemistry in the pathogenesis of hepatocellular carcinoma
    supporting_text: Cross talk between genetics and biochemistry in the pathogenesis of hepatocellular carcinoma
- reference: DOI:10.20517/2394-5079.2024.16
  title: Introduction to 2023 Chinese expert consensus on the whole-course management of hepatocellular carcinoma
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Introduction to 2023 Chinese expert consensus on the whole-course management of hepatocellular carcinoma
    supporting_text: Introduction to 2023 Chinese expert consensus on the whole-course management of hepatocellular carcinoma
- reference: DOI:10.21037/hbsn-22-469
  title: 'A review of 2022 Chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: 'A review of 2022 Chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights'
    supporting_text: 'A review of 2022 Chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights'
- reference: DOI:10.2147/jhc.s478604
  title: 'Efficacy of Atezolizumab Plus Bevacizumab Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Real-World Study'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: 'Efficacy of Atezolizumab Plus Bevacizumab Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Real-World Study'
    supporting_text: 'Efficacy of Atezolizumab Plus Bevacizumab Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Real-World Study'
- reference: DOI:10.3350/cmh.2024.0824
  title: 'Hepatocellular carcinoma: updates on epidemiology, surveillance, diagnosis and treatment'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma (HCC) is a major global burden, ranking as the third leading cause of cancer-related mortality.
    supporting_text: Hepatocellular carcinoma (HCC) is a major global burden, ranking as the third leading cause of cancer-related mortality.
    evidence:
    - reference: DOI:10.3350/cmh.2024.0824
      reference_title: 'Hepatocellular carcinoma: updates on epidemiology, surveillance, diagnosis and treatment'
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Hepatocellular carcinoma (HCC) is a major global burden, ranking as the third leading cause of cancer-related mortality.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.3389/fphar.2024.1416295
  title: Novel genetic alterations in liver cancer distinguish distinct clinical outcomes and combination immunotherapy responses
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Genomic profiling has revolutionized therapeutic interventions and the clinical management of liver cancer.
    supporting_text: Genomic profiling has revolutionized therapeutic interventions and the clinical management of liver cancer.
    evidence:
    - reference: DOI:10.3389/fphar.2024.1416295
      reference_title: Novel genetic alterations in liver cancer distinguish distinct clinical outcomes and combination immunotherapy responses
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Genomic profiling has revolutionized therapeutic interventions and the clinical management of liver cancer.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.3390/biom14060656
  title: Molecular Mechanisms in Tumorigenesis of Hepatocellular Carcinoma and in Target Treatments—An Overview
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma is the most common primary malignancy of the liver, with hepatocellular differentiation.
    supporting_text: Hepatocellular carcinoma is the most common primary malignancy of the liver, with hepatocellular differentiation.
    evidence:
    - reference: DOI:10.3390/biom14060656
      reference_title: Molecular Mechanisms in Tumorigenesis of Hepatocellular Carcinoma and in Target Treatments—An Overview
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Hepatocellular carcinoma is the most common primary malignancy of the liver, with hepatocellular differentiation.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.3390/biomedicines12071624
  title: 'Preclinical Models of Hepatocellular Carcinoma: Current Utility, Limitations, and Challenges'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma (HCC), the predominant primary liver tumor, remains one of the most lethal cancers worldwide, despite the advances in therapy in recent years.
    supporting_text: Hepatocellular carcinoma (HCC), the predominant primary liver tumor, remains one of the most lethal cancers worldwide, despite the advances in therapy in recent years.
    evidence:
    - reference: DOI:10.3390/biomedicines12071624
      reference_title: 'Preclinical Models of Hepatocellular Carcinoma: Current Utility, Limitations, and Challenges'
      supports: SUPPORT
      evidence_source: MODEL_ORGANISM
      snippet: Hepatocellular carcinoma (HCC), the predominant primary liver tumor, remains one of the most lethal cancers worldwide, despite the advances in therapy in recent years.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.3390/cancers16030666
  title: 'Management of Hepatocellular Carcinoma in 2024: The Multidisciplinary Paradigm in an Evolving Treatment Landscape'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Liver cancer is the third most common cause of cancer-related deaths worldwide, and hepatocellular carcinoma (HCC) makes up the majority of liver cancer cases.
    supporting_text: Liver cancer is the third most common cause of cancer-related deaths worldwide, and hepatocellular carcinoma (HCC) makes up the majority of liver cancer cases.
    evidence:
    - reference: DOI:10.3390/cancers16030666
      reference_title: 'Management of Hepatocellular Carcinoma in 2024: The Multidisciplinary Paradigm in an Evolving Treatment Landscape'
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Liver cancer is the third most common cause of cancer-related deaths worldwide, and hepatocellular carcinoma (HCC) makes up the majority of liver cancer cases.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.3390/cancers16050901
  title: 'Hepatocellular Carcinoma: Old and Emerging Therapeutic Targets'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Liver cancer, predominantly hepatocellular carcinoma (HCC), globally ranks sixth in incidence and third in cancer-related deaths.
    supporting_text: Liver cancer, predominantly hepatocellular carcinoma (HCC), globally ranks sixth in incidence and third in cancer-related deaths.
    evidence:
    - reference: DOI:10.3390/cancers16050901
      reference_title: 'Hepatocellular Carcinoma: Old and Emerging Therapeutic Targets'
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Liver cancer, predominantly hepatocellular carcinoma (HCC), globally ranks sixth in incidence and third in cancer-related deaths.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.3390/cancers16233933
  title: 'Hepatocellular Carcinoma Surveillance Strategies: Major Guidelines and Screening Advances'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with prognosis and treatment outcomes that are significantly influenced by the stage at diagnosis.
    supporting_text: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with prognosis and treatment outcomes that are significantly influenced by the stage at diagnosis.
    evidence:
    - reference: DOI:10.3390/cancers16233933
      reference_title: 'Hepatocellular Carcinoma Surveillance Strategies: Major Guidelines and Screening Advances'
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with prognosis and treatment outcomes that are significantly influenced by the stage at diagnosis.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.3748/wjg.v30.i19.2488
  title: Hepatocellular carcinoma-the role of the underlying liver disease in clinical practice
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality.
    supporting_text: Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality.
    evidence:
    - reference: DOI:10.3748/wjg.v30.i19.2488
      reference_title: Hepatocellular carcinoma-the role of the underlying liver disease in clinical practice
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.4254/wjh.v16.i5.716
  title: 'Genetic screening of liver cancer: State of the art'
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Liver cancer, primarily hepatocellular carcinoma, remains a global health challenge with rising incidence and limited therapeutic options.
    supporting_text: Liver cancer, primarily hepatocellular carcinoma, remains a global health challenge with rising incidence and limited therapeutic options.
    evidence:
    - reference: DOI:10.4254/wjh.v16.i5.716
      reference_title: 'Genetic screening of liver cancer: State of the art'
      supports: SUPPORT
      evidence_source: OTHER
      snippet: Liver cancer, primarily hepatocellular carcinoma, remains a global health challenge with rising incidence and limited therapeutic options.
      explanation: Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
- reference: DOI:10.7150/thno.95971
  title: Single cell analyses reveal the PD-1 blockade response-related immune features in hepatocellular carcinoma
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings:
  - statement: Single cell analyses reveal the PD-1 blockade response-related immune features in hepatocellular carcinoma
    supporting_text: Single cell analyses reveal the PD-1 blockade response-related immune features in hepatocellular carcinoma
- reference: DOI:10.1159/000539897
  title: Efficacy and Safety of Atezolizumab plus Bevacizumab versus Sorafenib in Hepatocellular Carcinoma with Main Trunk and/or Contralateral Portal Vein Invasion in IMbrave150
  found_in:
  - Hepatocellular_Carcinoma-deep-research-falcon.md
  findings: []
📚

References & Deep Research

References

23
ESR Essentials: diagnosis of hepatocellular carcinoma—practice recommendations by ESGAR
1 finding
Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide.
"Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide."
Show evidence (1 reference)
DOI:10.1007/s00330-024-10606-w SUPPORT Human Clinical
"Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy and a leading cause of cancer related death worldwide."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Clinical Practice Guidelines For the Management of Hepatocellular Carcinoma: A Systematic Review
1 finding
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, including Australia.
"Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, including Australia."
Show evidence (1 reference)
"Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, including Australia."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
EASL-EASD-EASO Clinical Practice Guidelines on the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
1 finding
EASL-EASD-EASO Clinical Practice Guidelines on the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
"Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed non-alcoholic fatty liver disease (NAFLD), is defined as steatotic liver disease (SLD) in the presence of one or more cardiometabolic risk factor(s) and the absence of harmful alcohol intake."
Show evidence (1 reference)
DOI:10.1159/000539371 SUPPORT Other
"Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed non-alcoholic fatty liver disease (NAFLD), is defined as steatotic liver disease (SLD) in the presence of one or more cardiometabolic risk factor(s) and the absence of harmful alcohol intake."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Efficacy and safety of atezolizumab plus bevacizumab treatment for advanced hepatocellular carcinoma in the real world: a single-arm meta-analysis
1 finding
Atezolizumab plus bevacizumab was approved in 2020 as a first-line treatment for advanced hepatocellular carcinoma (HCC).
"Atezolizumab plus bevacizumab was approved in 2020 as a first-line treatment for advanced hepatocellular carcinoma (HCC)."
Show evidence (1 reference)
"Atezolizumab plus bevacizumab was approved in 2020 as a first-line treatment for advanced hepatocellular carcinoma (HCC)."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Genomic profiling informs therapies and prognosis for patients with hepatocellular carcinoma in clinical practice
1 finding
Hepatocellular carcinoma (HCC) genomic research has discovered actionable genetic changes that might guide treatment decisions and clinical trials.
"Hepatocellular carcinoma (HCC) genomic research has discovered actionable genetic changes that might guide treatment decisions and clinical trials."
Show evidence (1 reference)
DOI:10.1186/s12885-024-12407-2 SUPPORT Human Clinical
"Hepatocellular carcinoma (HCC) genomic research has discovered actionable genetic changes that might guide treatment decisions and clinical trials."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing
1 finding
Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing
"Genomic landscape of hepatocellular carcinoma in Egyptian patients by whole exome sequencing"
Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts
1 finding
Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis.
"Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis."
Show evidence (1 reference)
"Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Systemic Therapy for Advanced Hepatocellular Carcinoma: ASCO Guideline Update
1 finding
To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC).
"To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC)."
Show evidence (1 reference)
DOI:10.1200/jco.23.02745 SUPPORT Other
"To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC)."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Cross talk between genetics and biochemistry in the pathogenesis of hepatocellular carcinoma
1 finding
Cross talk between genetics and biochemistry in the pathogenesis of hepatocellular carcinoma
"Cross talk between genetics and biochemistry in the pathogenesis of hepatocellular carcinoma"
Introduction to 2023 Chinese expert consensus on the whole-course management of hepatocellular carcinoma
1 finding
Introduction to 2023 Chinese expert consensus on the whole-course management of hepatocellular carcinoma
"Introduction to 2023 Chinese expert consensus on the whole-course management of hepatocellular carcinoma"
A review of 2022 Chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights
1 finding
A review of 2022 Chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights
"A review of 2022 Chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights"
Efficacy of Atezolizumab Plus Bevacizumab Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Real-World Study
1 finding
Efficacy of Atezolizumab Plus Bevacizumab Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Real-World Study
"Efficacy of Atezolizumab Plus Bevacizumab Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Real-World Study"
Hepatocellular carcinoma: updates on epidemiology, surveillance, diagnosis and treatment
1 finding
Hepatocellular carcinoma (HCC) is a major global burden, ranking as the third leading cause of cancer-related mortality.
"Hepatocellular carcinoma (HCC) is a major global burden, ranking as the third leading cause of cancer-related mortality."
Show evidence (1 reference)
DOI:10.3350/cmh.2024.0824 SUPPORT Human Clinical
"Hepatocellular carcinoma (HCC) is a major global burden, ranking as the third leading cause of cancer-related mortality."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Novel genetic alterations in liver cancer distinguish distinct clinical outcomes and combination immunotherapy responses
1 finding
Genomic profiling has revolutionized therapeutic interventions and the clinical management of liver cancer.
"Genomic profiling has revolutionized therapeutic interventions and the clinical management of liver cancer."
Show evidence (1 reference)
DOI:10.3389/fphar.2024.1416295 SUPPORT Human Clinical
"Genomic profiling has revolutionized therapeutic interventions and the clinical management of liver cancer."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Molecular Mechanisms in Tumorigenesis of Hepatocellular Carcinoma and in Target Treatments—An Overview
1 finding
Hepatocellular carcinoma is the most common primary malignancy of the liver, with hepatocellular differentiation.
"Hepatocellular carcinoma is the most common primary malignancy of the liver, with hepatocellular differentiation."
Show evidence (1 reference)
DOI:10.3390/biom14060656 SUPPORT Human Clinical
"Hepatocellular carcinoma is the most common primary malignancy of the liver, with hepatocellular differentiation."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Preclinical Models of Hepatocellular Carcinoma: Current Utility, Limitations, and Challenges
1 finding
Hepatocellular carcinoma (HCC), the predominant primary liver tumor, remains one of the most lethal cancers worldwide, despite the advances in therapy in recent years.
"Hepatocellular carcinoma (HCC), the predominant primary liver tumor, remains one of the most lethal cancers worldwide, despite the advances in therapy in recent years."
Show evidence (1 reference)
DOI:10.3390/biomedicines12071624 SUPPORT Model Organism
"Hepatocellular carcinoma (HCC), the predominant primary liver tumor, remains one of the most lethal cancers worldwide, despite the advances in therapy in recent years."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Management of Hepatocellular Carcinoma in 2024: The Multidisciplinary Paradigm in an Evolving Treatment Landscape
1 finding
Liver cancer is the third most common cause of cancer-related deaths worldwide, and hepatocellular carcinoma (HCC) makes up the majority of liver cancer cases.
"Liver cancer is the third most common cause of cancer-related deaths worldwide, and hepatocellular carcinoma (HCC) makes up the majority of liver cancer cases."
Show evidence (1 reference)
DOI:10.3390/cancers16030666 SUPPORT Human Clinical
"Liver cancer is the third most common cause of cancer-related deaths worldwide, and hepatocellular carcinoma (HCC) makes up the majority of liver cancer cases."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Hepatocellular Carcinoma: Old and Emerging Therapeutic Targets
1 finding
Liver cancer, predominantly hepatocellular carcinoma (HCC), globally ranks sixth in incidence and third in cancer-related deaths.
"Liver cancer, predominantly hepatocellular carcinoma (HCC), globally ranks sixth in incidence and third in cancer-related deaths."
Show evidence (1 reference)
DOI:10.3390/cancers16050901 SUPPORT Human Clinical
"Liver cancer, predominantly hepatocellular carcinoma (HCC), globally ranks sixth in incidence and third in cancer-related deaths."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Hepatocellular Carcinoma Surveillance Strategies: Major Guidelines and Screening Advances
1 finding
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with prognosis and treatment outcomes that are significantly influenced by the stage at diagnosis.
"Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with prognosis and treatment outcomes that are significantly influenced by the stage at diagnosis."
Show evidence (1 reference)
DOI:10.3390/cancers16233933 SUPPORT Human Clinical
"Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with prognosis and treatment outcomes that are significantly influenced by the stage at diagnosis."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Hepatocellular carcinoma-the role of the underlying liver disease in clinical practice
1 finding
Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality.
"Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality."
Show evidence (1 reference)
DOI:10.3748/wjg.v30.i19.2488 SUPPORT Human Clinical
"Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Genetic screening of liver cancer: State of the art
1 finding
Liver cancer, primarily hepatocellular carcinoma, remains a global health challenge with rising incidence and limited therapeutic options.
"Liver cancer, primarily hepatocellular carcinoma, remains a global health challenge with rising incidence and limited therapeutic options."
Show evidence (1 reference)
"Liver cancer, primarily hepatocellular carcinoma, remains a global health challenge with rising incidence and limited therapeutic options."
Deep research cited this publication as relevant literature for Hepatocellular Carcinoma.
Single cell analyses reveal the PD-1 blockade response-related immune features in hepatocellular carcinoma
1 finding
Single cell analyses reveal the PD-1 blockade response-related immune features in hepatocellular carcinoma
"Single cell analyses reveal the PD-1 blockade response-related immune features in hepatocellular carcinoma"
Efficacy and Safety of Atezolizumab plus Bevacizumab versus Sorafenib in Hepatocellular Carcinoma with Main Trunk and/or Contralateral Portal Vein Invasion in IMbrave150
No top-level findings curated for this source.

Deep Research

1
Falcon
Disease Characteristics Research Template
Edison Scientific Literature 71 citations 2026-05-08T19:35:16.062652

Question: You are an expert researcher providing comprehensive, well-cited information.

Provide detailed information focusing on: 1. Key concepts and definitions with current understanding 2. Recent developments and latest research (prioritize 2023-2024 sources) 3. Current applications and real-world implementations 4. Expert opinions and analysis from authoritative sources 5. Relevant statistics and data from recent studies

Format as a comprehensive research report with proper citations. Include URLs and publication dates where available. Always prioritize recent, authoritative sources and provide specific citations for all major claims.

Disease Characteristics Research Template

Target Disease

  • Disease Name: Hepatocellular Carcinoma
  • MONDO ID: (if available)
  • Category:

Research Objectives

Please provide a comprehensive research report on Hepatocellular Carcinoma covering all of the disease characteristics listed below. This report will be used to populate a disease knowledge base entry. Be thorough and cite primary literature (PMID preferred) for all claims.

For each section, suggested databases/resources are listed. These are the first places you should search for information on each topic.


1. Disease Information

Search first: OMIM, Orphanet, ICD-10/ICD-11, MeSH, PubMed

  • What is the disease? Provide a concise overview.
  • What are the key identifiers? (OMIM, Orphanet, ICD-10/ICD-11, MeSH, Mondo)
  • What are the common synonyms and alternative names?
  • Is the information derived from individual patients (e.g., EHR) or aggregated disease-level resources?

2. Etiology

  • Disease Causal Factors: What are the primary causes? (genetic, environmental, infectious, mechanistic)
  • Risk Factors:

    Search first: PubMed, Cochrane Library, UpToDate, clinical guidelines, ClinVar, ClinGen, GWAS Catalog, PheGenI, CTD, CDC, WHO, epidemiological databases

  • Genetic risk factors (causal variants, susceptibility loci, modifier genes)
  • Environmental risk factors (toxins, lifestyle, occupational exposures, age, sex, family history)
  • Protective Factors:

    Search first: PubMed, Cochrane Library, clinical trial databases, GWAS Catalog, gnomAD, WHO, CDC, nutrition databases

  • Genetic protective factors (protective variants, modifier alleles)
  • Environmental protective factors (diet, lifestyle, exposures that reduce risk)
  • Gene-Environment Interactions: How do genetic and environmental factors interact to influence disease?

    Search first: CTD, PubMed, PheGenI, GxE databases

3. Phenotypes

Search first: HPO (Human Phenotype Ontology), OMIM, Orphanet, PubMed, clinicaltrials.gov, MedDRA, SNOMED CT, DECIPHER, LOINC

For each phenotype, provide: - Phenotype type: symptoms, clinical signs, physical manifestations, behavioral changes, or laboratory abnormalities

For symptoms/signs: HPO, OMIM, Orphanet, PubMed For behavioral changes: HPO, DSM, RDoC (Research Domain Criteria), PubMed For laboratory abnormalities: LOINC, SNOMED CT, LabTests Online, PubMed - Phenotype characteristics: Search first: OMIM, Orphanet, HPO, PubMed - Age of symptom onset (neonatal, childhood, adult-onset, late-onset) - Symptom severity (mild, moderate, severe, variable) - Symptom progression (stable, progressive, episodic, fluctuating) - Frequency among affected individuals (percentage or qualitative) - Quality of life impact: Effects on daily functioning and well-being (per-phenotype when possible) Search first: EQ-5D database, SF-36, WHO QOL databases, PubMed - Suggest HPO (Human Phenotype Ontology) terms for each phenotype

4. Genetic/Molecular Information

  • Causal Genes: Gene mutations or chromosomal abnormalities responsible for disease (gene symbols, OMIM IDs)

    Search first: OMIM, ClinVar, HGMD, Ensembl, NCBI Gene

  • Pathogenic Variants:
  • Affected genes (gene symbols, HGNC IDs) > Search first: OMIM, NCBI Gene, Ensembl, HGNC, UniProt, GeneCards
  • Variant classification (pathogenic, likely pathogenic, VUS per ACMG/AMP guidelines) > Search first: ClinVar, ClinGen, ACMG/AMP guidelines, VarSome
  • Variant type/class (missense, frameshift, nonsense, splice-site, structural)
  • Allele frequency in population databases > Search first: gnomAD, 1000 Genomes, ExAC, TOPMed, dbSNP
  • Somatic vs germline origin > Search first: COSMIC (somatic), ClinVar, ICGC, TCGA
  • Functional consequences (loss of function, gain of function, dominant negative)
  • Modifier Genes: Genes that modify disease severity or expression
  • Epigenetic Information: DNA methylation, histone modifications, chromatin changes affecting disease

    Search first: ENCODE, Roadmap Epigenomics, MethBase, DiseaseMeth

  • Chromosomal Abnormalities: Large-scale genetic changes (aneuploidy, translocations, inversions)

    Search first: DECIPHER, ClinVar, ECARUCA, UCSC Genome Browser

5. Environmental Information

  • Environmental Factors: Non-genetic contributing factors (toxins, radiation, pollution, occupational exposure)

    Search first: CTD (Comparative Toxicogenomics Database), TOXNET, PubMed, EPA databases

  • Lifestyle Factors: Behavioral factors (smoking, diet, exercise, alcohol consumption)

    Search first: CDC databases, WHO, PubMed, NHANES

  • Infectious Agents: If applicable, pathogens causing or triggering disease (bacteria, viruses, fungi, parasites)

    Search first: NCBI Taxonomy, ViPR, BV-BRC, MicrobeDB, GIDEON

6. Mechanism / Pathophysiology

  • Molecular Pathways: Specific signaling cascades or biochemical pathways involved (Wnt, MAPK, mTOR, PI3K-AKT, etc.)

    Search first: KEGG, Reactome, WikiPathways, PathBank, BioCyc

  • Cellular Processes: Cell-level mechanisms (apoptosis, autophagy, cell cycle dysregulation, inflammation, etc.)

    Search first: Gene Ontology (GO), Reactome, KEGG, PubMed

  • Protein Dysfunction: How protein structure or function is altered (misfolding, aggregation, loss of function, gain of function)

    Search first: UniProt, PDB (Protein Data Bank), InterPro, Pfam, AlphaFold

  • Metabolic Changes: Alterations in metabolic processes (energy metabolism, lipid metabolism, amino acid metabolism)

    Search first: KEGG, BioCyc, HMDB (Human Metabolome Database), BRENDA

  • Immune System Involvement: Role of immune response (autoimmunity, immunodeficiency, chronic inflammation)

    Search first: ImmPort, Immunome Database, IEDB, Gene Ontology

  • Tissue Damage Mechanisms: How tissues/ are injured (oxidative stress, ischemia, fibrosis, necrosis)

    Search first: PubMed, Gene Ontology, Reactome

  • Biochemical Abnormalities: Specific molecular defects (enzyme deficiencies, receptor dysfunction, ion channel defects)

    Search first: BRENDA, UniProt, KEGG, OMIM, PubMed

  • Epigenetic Changes: DNA methylation, histone modifications affecting gene expression in disease

    Search first: ENCODE, Roadmap Epigenomics, MethBase, DiseaseMeth

  • Molecular Profiling (if available):
  • Transcriptomics/gene expression changes > Search first: GEO (Gene Expression Omnibus), ArrayExpress, GTEx, Human Cell Atlas, SRA
  • Proteomics findings > Search first: PRIDE, ProteomeXchange, Human Protein Atlas, STRING, BioGRID
  • Metabolomics signatures > Search first: MetaboLights, Metabolomics Workbench, HMDB, METLIN
  • Lipidomics alterations > Search first: LIPID MAPS, SwissLipids, LipidHome, Metabolomics Workbench
  • Genomic structural features > Search first: UCSC Genome Browser, Ensembl, NCBI, dbVar, DGV
  • Advanced Technologies (if applicable):
  • Single-cell analysis findings (cell-type specific mechanisms, cellular heterogeneity) > Search first: Human Cell Atlas, Single Cell Portal, GEO, CELLxGENE
  • Spatial transcriptomics findings > Search first: GEO, Spatial Research, Vizgen, 10x Genomics data
  • Multi-omics integration results > Search first: TCGA, ICGC, cBioPortal, LinkedOmics, PubMed
  • Functional genomics screens (CRISPR, RNAi) > Search first: DepMap, GenomeRNAi, PubMed, BioGRID ORCS

For each mechanism, describe: - The causal chain from initial trigger to clinical manifestation - Which mechanisms are upstream vs downstream - What cell types and biological processes are involved - Suggest GO terms for biological processes and CL terms for cell types

7. Anatomical Structures Affected

  • Organ Level:
  • Primary organs directly affected
  • Secondary organ involvement (complications, secondary effects)
  • Body systems involved (cardiovascular, nervous, digestive, respiratory, endocrine, etc.)

    Search first: Uberon, FMA (Foundational Model of Anatomy), OMIM, HPO, ICD-11, MeSH, SNOMED CT

  • Tissue and Cell Level:
  • Specific tissue types affected (epithelial, connective, muscle, nervous)
  • Specific cell populations targeted (with Cell Ontology terms)

    Search first: Uberon, Human Protein Atlas, Cell Ontology, Human Cell Atlas, CellMarker, PanglaoDB

  • Subcellular Level:
  • Cellular compartments involved (mitochondria, nucleus, ER, lysosomes) (with GO Cellular Component terms)

    Search first: Gene Ontology (Cellular Component), UniProt, Human Protein Atlas

  • Localization:
  • Specific anatomical sites (with UBERON terms) > Search first: FMA, Uberon, NeuroNames (for brain), SNOMED CT
  • Lateralization (unilateral, bilateral, asymmetric) > Search first: HPO, clinical literature, imaging databases

8. Temporal Development

  • Onset:
  • Typical age of onset (congenital, pediatric, adult, geriatric)
  • Onset pattern (acute, subacute, chronic, insidious)

    Search first: OMIM, Orphanet, HPO, PubMed

  • Progression:
  • Disease stages (early, intermediate, advanced, end-stage) > Search first: Cancer Staging Manual (AJCC), WHO classifications, PubMed
  • Progression rate (rapid, slow, variable)
  • Disease course pattern (episodic, relapsing-remitting, progressive, stable)
  • Disease duration (self-limited, chronic lifelong)

    Search first: Disease registries, longitudinal cohort databases, natural history studies, PubMed, Orphanet, OMIM

  • Patterns:
  • Remission patterns (spontaneous, treatment-induced) > Search first: Clinical trial databases, disease registries, PubMed
  • Critical periods (time windows of vulnerability or opportunity for intervention) > Search first: PubMed, developmental biology databases, clinical guidelines

9. Inheritance and Population

  • Epidemiology:
  • Prevalence (cases per 100,000 at given time)
  • Incidence (new cases per 100,000 per year)

    Search first: Orphanet, CDC, WHO, GBD (Global Burden of Disease), national registries, SEER, disease registries

  • For Genetic Etiology:
  • Inheritance pattern (AD, AR, X-linked, mitochondrial, multifactorial, polygenic) > Search first: OMIM, Orphanet, ClinVar, GTR (Genetic Testing Registry)
  • Penetrance (complete, incomplete, age-dependent) > Search first: ClinVar, OMIM, PubMed, ClinGen
  • Expressivity (variable, consistent) > Search first: OMIM, ClinVar, PubMed
  • Genetic anticipation (increasing severity in successive generations) > Search first: OMIM, PubMed (especially for repeat expansion disorders)
  • Germline mosaicism > Search first: ClinVar, OMIM, genetic counseling literature, PubMed
  • Founder effects (population-specific mutations) > Search first: gnomAD, population genetics databases, PubMed
  • Consanguinity role > Search first: OMIM, population studies, genetic counseling resources
  • Carrier frequency > Search first: gnomAD, carrier screening databases, GeneReviews, GTR
  • Population Demographics:
  • Affected populations (ethnic or demographic groups with higher prevalence) > Search first: gnomAD, 1000 Genomes, PAGE Study, PubMed, population registries
  • Geographic distribution (endemic areas, regional variation) > Search first: WHO, CDC, GBD, Orphanet, geographic epidemiology databases
  • Geographic distribution of specific variants
  • Sex ratio (male:female) > Search first: Disease registries, OMIM, PubMed, epidemiological databases
  • Age distribution of affected individuals > Search first: CDC, disease registries, SEER, Orphanet

10. Diagnostics

  • Clinical Tests:
  • Laboratory tests (blood, urine, tissue chemistry, specific enzyme assays) > Search first: LOINC, LabTests Online, PubMed
  • Biomarkers (proteins, metabolites, genetic markers, circulating biomarkers) > Search first: FDA Biomarker List, BEST (Biomarkers, EndpointS, and other Tools), PubMed
  • Imaging studies (X-ray, CT, MRI, PET, ultrasound) > Search first: RadLex, DICOM, Radiopaedia, imaging databases
  • Functional tests (pulmonary function, cardiac stress tests) > Search first: LOINC, clinical guidelines, PubMed
  • Electrophysiology (EEG, EMG, ECG, nerve conduction studies) > Search first: LOINC, clinical neurophysiology databases, PubMed
  • Biopsy findings (histopathology, immunohistochemistry) > Search first: SNOMED CT, College of American Pathologists resources, PubMed
  • Pathology findings (microscopic examination) > Search first: SNOMED CT, Digital Pathology databases, PubMed
  • Genetic Testing:

    Search first: GTR (Genetic Testing Registry), GeneReviews, ClinGen

  • Overview of recommended genetic testing approach
  • Whole genome sequencing (WGS) utility > Search first: GTR, ClinVar, GEL (Genomics England), gnomAD
  • Whole exome sequencing (WES) utility > Search first: GTR, ClinVar, OMIM, GeneMatcher
  • Gene panels (which panels, which genes) > Search first: GTR, ClinVar, laboratory-specific databases
  • Single gene testing > Search first: GTR, ClinVar, OMIM, GeneReviews
  • Chromosomal microarray (CMA) > Search first: DECIPHER, ClinVar, dbVar, ECARUCA
  • Karyotyping > Search first: Chromosome Abnormality Database, ClinVar, cytogenetics resources
  • FISH > Search first: ClinVar, cytogenetics databases, PubMed
  • Mitochondrial DNA testing > Search first: MITOMAP, MSeqDR, ClinVar, GTR
  • Repeat expansion testing > Search first: GTR, ClinVar, repeat expansion databases, PubMed
  • Omics-Based Diagnostics (if applicable):
  • RNA sequencing / transcriptomics > Search first: GEO, ArrayExpress, GTEx, RNA-seq databases
  • Proteomics > Search first: PRIDE, ProteomeXchange, FDA Biomarker database
  • Metabolomics > Search first: MetaboLights, Metabolomics Workbench, HMDB
  • Epigenomics > Search first: GEO, ENCODE, Roadmap Epigenomics, MethBase
  • Liquid biopsy > Search first: COSMIC, ClinVar, liquid biopsy databases, PubMed
  • Clinical Criteria:
  • Standardized diagnostic criteria (DSM, ICD, society guidelines) > Search first: DSM-5, ICD-11, clinical society guidelines, UpToDate
  • Differential diagnosis (other conditions to rule out, with distinguishing features) > Search first: DynaMed, UpToDate, clinical decision support systems
  • Screening:
  • Screening methods for asymptomatic individuals (newborn screening, carrier screening, cascade screening) > Search first: ACMG recommendations, CDC newborn screening, GTR

11. Outcome/Prognosis

  • Survival and Mortality:
  • Survival rate (5-year, 10-year, overall) > Search first: SEER, cancer registries, disease-specific registries, PubMed
  • Life expectancy (with and without treatment if applicable) > Search first: Orphanet, disease registries, actuarial databases, PubMed
  • Mortality rate > Search first: CDC, WHO, GBD, national mortality databases
  • Disease-specific mortality (deaths directly attributable to disease) > Search first: Disease registries, CDC Wonder, GBD, PubMed
  • Morbidity and Function:
  • Morbidity (disease-related disability and health impacts) > Search first: GBD, WHO, disability databases, PubMed
  • Disability outcomes (long-term functional impairments) > Search first: ICF (International Classification of Functioning), disability registries
  • Quality of life measures (EQ-5D, SF-36, PROMIS, disease-specific tools) > Search first: EQ-5D database, SF-36, PROMIS, PubMed
  • Disease Course:
  • Complications (secondary problems: infections, organ failure, etc.) > Search first: ICD codes, disease registries, clinical databases, PubMed
  • Recovery potential (likelihood and extent of recovery, with vs without treatment) > Search first: Natural history studies, rehabilitation databases, PubMed
  • Prediction:
  • Prognostic factors (age, disease severity, biomarkers, treatment response) > Search first: Prognostic models databases, clinical calculators, PubMed
  • Prognostic biomarkers (molecular markers predicting disease course) > Search first: FDA Biomarker database, PubMed, cancer prognostic databases

12. Treatment

  • Pharmacotherapy:
  • Pharmacological treatments (drug names, drug classes, mechanisms of action) > Search first: DrugBank, RxNorm, ATC classification, DailyMed, FDA databases
  • Pharmacogenomics (how genetic variants affect drug metabolism, efficacy, toxicity) > Search first: PharmGKB, CPIC (Clinical Pharmacogenetics), FDA Table of PGx Biomarkers
  • Advanced Therapeutics:
  • Gene therapy (viral vectors, CRISPR, gene replacement, gene editing) > Search first: ClinicalTrials.gov, FDA gene therapy database, ASGCT resources
  • Cell therapy (stem cell transplant, CAR-T, cellular therapeutics) > Search first: ClinicalTrials.gov, FDA cell therapy database, FACT standards
  • RNA-based therapies (ASOs, siRNA, mRNA therapies) > Search first: ClinicalTrials.gov, FDA approvals, PubMed
  • Targeted therapies (treatments directed at specific molecular targets) > Search first: My Cancer Genome, OncoKB, ClinicalTrials.gov, FDA approvals
  • Immunotherapies (checkpoint inhibitors, monoclonal antibodies) > Search first: Cancer Immunotherapy Database, FDA approvals, ClinicalTrials.gov
  • Surgical and Interventional:
  • Surgical interventions (types of surgery, timing, outcomes) > Search first: CPT codes, surgical registries, clinical guidelines, PubMed
  • Supportive and Rehabilitative:
  • Supportive care (symptom management, pain control, nutrition) > Search first: Clinical guidelines, Cochrane Library, PubMed
  • Rehabilitation (physical therapy, occupational therapy, speech therapy) > Search first: Rehabilitation medicine databases, clinical guidelines, PubMed
  • Experimental:
  • Experimental treatments in clinical trials (with NCT identifiers if available) > Search first: ClinicalTrials.gov, EU Clinical Trials Register, WHO ICTRP
  • Treatment Outcomes:
  • Treatment response rates > Search first: Clinical trial databases, FDA reviews, systematic reviews, PubMed
  • Side effects and adverse events > Search first: FDA Adverse Event Reporting System (FAERS), MedWatch, PubMed
  • Treatment Strategy:
  • Treatment algorithms (clinical pathways, decision trees) > Search first: Clinical practice guidelines, NCCN Guidelines, UpToDate
  • Combination therapies > Search first: ClinicalTrials.gov, treatment guidelines, PubMed
  • Personalized medicine approaches (genotype-guided treatment) > Search first: My Cancer Genome, CIViC, PharmGKB, precision medicine databases

For each treatment, suggest MAXO (Medical Action Ontology) terms where applicable.

13. Prevention

  • Prevention Levels:
  • Primary prevention (preventing disease occurrence: vaccination, risk factor modification) > Search first: CDC, WHO, USPSTF recommendations, Cochrane Library
  • Secondary prevention (early detection and treatment: screening programs, early intervention) > Search first: USPSTF, CDC screening guidelines, WHO
  • Tertiary prevention (preventing complications in those with disease) > Search first: Clinical guidelines, disease management protocols, PubMed
  • Immunization: Vaccine strategies (if applicable)

    Search first: CDC vaccine schedules, WHO immunization, FDA vaccine database

  • Screening and Early Detection:
  • Screening programs (population-based: newborn screening, cancer screening) > Search first: CDC screening programs, USPSTF, cancer screening databases
  • Genetic screening (carrier screening, preimplantation genetic diagnosis, prenatal testing) > Search first: ACMG recommendations, ACOG guidelines, GTR
  • Risk stratification (identifying high-risk individuals for targeted prevention) > Search first: Risk prediction models, clinical calculators, PubMed
  • Behavioral Interventions: Lifestyle modifications to reduce risk

    Search first: CDC, WHO, behavioral intervention databases, Cochrane Library

  • Counseling: Genetic counseling (risk assessment, family planning guidance)

    Search first: NSGC resources, ACMG guidelines, GeneReviews

  • Public Health:
  • Public health interventions (sanitation, vector control, health education) > Search first: CDC, WHO, public health databases, PubMed
  • Environmental interventions (reducing environmental risk factors) > Search first: EPA databases, WHO environmental health, PubMed
  • Prophylaxis: Preventive medications or procedures

    Search first: Clinical guidelines, FDA approvals, PubMed

14. Other Species / Natural Disease

  • Taxonomy: Species affected (with NCBI Taxon identifiers)

    Search first: NCBI Taxonomy

  • Breed: Specific breeds affected (with VBO identifiers if applicable)

    Search first: VBO (Vertebrate Breed Ontology)

  • Gene: Orthologous genes in other species (with NCBI Gene IDs)

    Search first: NCBI Gene

  • Natural Disease:
  • Naturally occurring disease in other species (companion animals, wildlife) > Search first: OMIA (Online Mendelian Inheritance in Animals), VetCompass, PubMed
  • Veterinary relevance and importance in animal health > Search first: OMIA, veterinary databases, PubMed
  • Comparative Biology:
  • Comparative pathology (similarities and differences across species) > Search first: OMIA, comparative pathology databases, PubMed
  • Evolutionary conservation of disease mechanisms > Search first: HomoloGene, OrthoMCL, Alliance of Genome Resources
  • Transmission (if applicable):
  • Zoonotic potential > Search first: CDC zoonotic diseases, WHO zoonoses, GIDEON
  • Cross-species susceptibility > Search first: NCBI Taxonomy, veterinary databases, PubMed

15. Model Organisms

  • Model Types:
  • Model organism type (mammalian, invertebrate, cellular, in vitro) > Search first: Alliance of Genome Resources, model organism databases
  • Specific model systems (mouse, rat, zebrafish, Drosophila, C. elegans, yeast, cell lines, organoids, iPSCs) > Search first: MGI, RGD, ZFIN, FlyBase, WormBase, SGD, ATCC, Cellosaurus
  • Induced models (drug treatment, surgical intervention, environmental manipulation) > Search first: MGI, model organism databases, PubMed
  • Genetic Models:
  • Types available (knockout, knock-in, transgenic, conditional, humanized) > Search first: MGI, IMPC, KOMP, EuMMCR, IMSR
  • Model Characteristics:
  • Phenotype recapitulation (how well model reproduces human disease features) > Search first: Model organism databases, comparative studies, PubMed
  • Model limitations (aspects of human disease not captured) > Search first: Model organism databases, PubMed, review articles
  • Applications:
  • Research applications (what aspects of disease can be studied) > Search first: Model organism databases, PubMed
  • Resources:
  • Model databases > Search first: MGI, RGD, ZFIN, FlyBase, WormBase, IMSR, EMMA, MMRRC

Citation Requirements

  • Cite primary literature (PMID preferred) for all mechanistic and clinical claims
  • Prioritize recent reviews and landmark papers
  • Include direct quotes from abstracts where possible to support key statements
  • Distinguish evidence source types: human clinical, model organism, in vitro, computational

Output Format

Structure your response as a comprehensive narrative organized by the sections above. For each section, provide: - Factual content with specific details (numbers, percentages, gene names, variant nomenclature) - Ontology term suggestions (HPO, GO, CL, UBERON, CHEBI, MAXO, MONDO) where applicable - Evidence citations with PMIDs - Direct quotes from abstracts to support key claims - Clear indication when information is not available or not applicable for this disease

This report will be used to populate a disease knowledge base entry with: - Pathophysiology descriptions with causal chains - Gene/protein annotations (HGNC, GO terms) - Phenotype associations (HP terms) with frequencies - Cell type involvement (CL terms) - Anatomical locations (UBERON terms) - Chemical entities (CHEBI terms) - Treatment annotations (MAXO terms) - Evidence items with PMIDs and exact abstract quotes - Epidemiology, prognosis, diagnostic, and prevention information - Animal model descriptions with phenotype recapitulation details

Hepatocellular Carcinoma (HCC) — Disease Characteristics Research Report (2023–2024 prioritized)

Target disease

  • Disease name: Hepatocellular carcinoma (HCC)
  • MONDO ID: Not recovered from the available evidence in this run (see Identifiers table) (OpenTargets Search: hepatocellular carcinoma)
  • Category: Malignant neoplasm; primary liver cancer (HCC comprises ~75–90% of primary liver cancers depending on source) (hwang2024hepatocellularcarcinomaupdates pages 1-3, kinsey2024managementofhepatocellular pages 1-2)

1. Disease information

1.1 Definition / overview (current understanding)

Hepatocellular carcinoma is the most common primary hepatic malignancy and a leading cause of cancer mortality worldwide (cannella2024esressentialsdiagnosis pages 1-3, hwang2024hepatocellularcarcinomaupdates pages 1-3). HCC typically arises in the setting of chronic liver disease/cirrhosis; cirrhosis confers markedly elevated risk compared with non-cirrhotic liver, and clinical management must simultaneously address the tumor and the underlying liver dysfunction (hwang2024hepatocellularcarcinomaupdates pages 1-3, mattos2024hepatocellularcarcinomatherole pages 1-2).

1.2 Key identifiers and synonyms

A compact normalization table is provided below.

Disease name Common synonyms / alternative names Identifier system Code / ID Status / note Source URL / DOI
Hepatocellular carcinoma HCC; hepatoma Open Targets / EFO EFO_0000182 Retrieved in current evidence as the disease entity used for target associations Open Targets disease-target association (OpenTargets Search: hepatocellular carcinoma) https://platform.opentargets.org/disease/EFO_0000182
Hepatocellular carcinoma HCC; hepatoma ICD-10 C22.0 Malignant neoplasm of liver and intrahepatic bile ducts, liver cell carcinoma AASLD/CMH surveillance and diagnosis reviews referencing current HCC guideline nomenclature and disease classification context (hwang2024hepatocellularcarcinomaupdates pages 6-7, hwang2024hepatocellularcarcinomaupdates pages 1-3) https://icd.who.int/browse10/2019/en#/C22.0
Hepatocellular carcinoma HCC; hepatoma MONDO Not available MONDO identifier was not retrieved in the current evidence set and should be treated as unavailable here No MONDO ID recovered in gathered evidence; Open Targets search returned EFO disease mapping instead (OpenTargets Search: hepatocellular carcinoma) Not available
Hepatocellular carcinoma HCC; hepatoma MeSH Not retrieved in current evidence MeSH identifier not directly retrieved in the available evidence, though HCC is consistently defined as the major primary liver cancer Recent HCC reviews/guidelines use the disease term consistently but do not provide a MeSH code in the retrieved excerpts (hwang2024hepatocellularcarcinomaupdates pages 1-3, cannella2024esressentialsdiagnosis pages 1-3) https://www.ncbi.nlm.nih.gov/mesh/
Hepatocellular carcinoma HCC; hepatoma; liver cell carcinoma Guideline/common usage Not a formal code Common naming supported by recent guideline and review literature; HCC is described as the predominant primary liver cancer Hwang et al. 2024; ESR/ESGAR 2024; ASCO 2024 (hwang2024hepatocellularcarcinomaupdates pages 1-3, cannella2024esressentialsdiagnosis pages 1-3, gordan2024systemictherapyfor pages 1-2) https://doi.org/10.3350/cmh.2024.0824 ; https://doi.org/10.1007/s00330-024-10606-w ; https://doi.org/10.1200/JCO.23.02745

Table: This table compiles the key identifiers and common names for hepatocellular carcinoma that were recoverable from the gathered evidence. It is useful as a compact normalization reference for knowledge-base curation, while clearly marking identifiers that were not retrieved in the current evidence set.

Synonyms / alternative names: “HCC”, “hepatoma”, “liver cell carcinoma” (common clinical usage in contemporary guidelines/reviews) (kinsey2024managementofhepatocellular pages 1-2, hwang2024hepatocellularcarcinomaupdates pages 1-3).

1.3 Evidence source type

The information synthesized here is largely aggregated disease-level evidence from international guidelines/reviews and meta-analyses (e.g., ASCO 2024 systemic therapy guideline update; ESR/ESGAR 2024 imaging recommendations; EASL-EASD-EASO 2024 MASLD guideline; CMH 2024 epidemiology review) plus selected primary/real-world clinical studies and genomic cohort studies (gordan2024systemictherapyfor pages 1-2, cannella2024esressentialsdiagnosis pages 1-3, (easo)2024easleasdeasoclinicalpractice pages 46-48, hwang2024hepatocellularcarcinomaupdates pages 1-3, shen2024efficacyofatezolizumab pages 1-2, song2024genomicprofilinginforms pages 1-2).


2. Etiology

2.1 Primary causal factors

HCC arises through the interaction of chronic liver injury/inflammation/fibrosis with acquired (somatic) genetic and epigenetic alterations in hepatocytes, commonly driven by: chronic viral hepatitis (HBV/HCV), alcohol-associated liver disease (ALD), and metabolic dysfunction–associated steatotic liver disease (MASLD) / metabolic dysfunction–associated steatohepatitis (MASH) (hwang2024hepatocellularcarcinomaupdates pages 1-3, kinsey2024managementofhepatocellular pages 1-2).

2.2 Risk factors (genetic + environmental)

Major clinical risk factors consistently highlighted across guidelines include cirrhosis, chronic HBV infection, chronic HCV infection, alcohol use/ALD, obesity, type 2 diabetes, and MASLD/MASH; aflatoxin exposure remains important in some regions (kinsey2024managementofhepatocellular pages 1-2, hwang2024hepatocellularcarcinomaupdates pages 4-6).

Regional/global etiology proportions (GBD 2021, liver cancer overall): HBV ~39% of cases (37% of deaths), HCV ~29% (30% deaths), ALD ~19% (19% deaths) (hwang2024hepatocellularcarcinomaupdates pages 4-6).

Genetic susceptibility / modifiers (selected examples): A 2024 “state of the art” genetic screening review notes that germline polymorphisms in lipid metabolism genes (e.g., PNPLA3, TM6SF2, HSD17B13) modulate NASH/alcohol-related disease severity and influence HCC risk, and that variants in WNT genes or TERT can modulate HCC risk (peruhova2024geneticscreeningof pages 2-4).

2.3 Protective factors

At the population level, the declining fraction of HBV- and HCV-related HCC is attributed to HBV vaccination and effective antiviral therapy reducing chronic viral hepatitis burden (hwang2024hepatocellularcarcinomaupdates pages 1-3, hwang2024hepatocellularcarcinomaupdates pages 4-6). In MASLD, reduction/regression of fibrosis is linked with reduced liver-related risk, supporting fibrosis reduction as a protective strategy against downstream outcomes including HCC ((easo)2024easleasdeasoclinicalpractice pages 46-48).

2.4 Gene–environment interactions

The etiology-specific differences in key somatic events (e.g., TERT promoter mutation rates differing by HBV/HCV/nonviral) highlight gene–environment interplay (virus-driven vs metabolic drivers with different mutational selection pressures) (ucdal2024crosstalkbetween pages 1-2).


3. Phenotypes

3.1 Core clinical phenotypes

HCC is frequently asymptomatic until advanced stages; consequently, surveillance aims to detect tumors at a curable stage (wu2024hepatocellularcarcinomasurveillance pages 1-2). Underlying cirrhosis drives common co-phenotypes/complications that influence treatment eligibility (portal hypertension/varices, synthetic dysfunction, etc.), motivating staging systems that integrate liver function and performance status (seth2024clinicalpracticeguidelines pages 2-3, gordan2024systemictherapyfor pages 1-2).

3.2 Ontology suggestions (HPO; non-exhaustive)

Because detailed symptom-frequency tables were not available in the retrieved evidence excerpts, below are suggested HPO terms for common HCC/cirrhosis-associated clinical features seen in practice (term suggestions only; frequencies not extracted here): - HP:0001402 Hepatomegaly - HP:0001394 Jaundice - HP:0001548 Ascites - HP:0002615 Esophageal varices - HP:0003073 Elevated serum alpha-fetoprotein - HP:0002240 Abdominal pain

3.3 Quality of life impact

A multidisciplinary, patient-centered model and early palliative-care integration are increasingly emphasized in 2024-era HCC management reviews because liver dysfunction plus cancer symptoms/toxicities can substantially impair daily functioning (kinsey2024managementofhepatocellular pages 1-2).


4. Genetic / molecular information

4.1 Somatic driver landscape (key concepts)

HCC is dominated by somatic alterations rather than single-gene Mendelian causation. Commonly altered genes repeatedly highlighted include TERT promoter, TP53, and Wnt/β-catenin pathway genes (e.g., CTNNB1, AXIN1) along with chromatin regulators (ARID1A/ARID2), and signaling pathway members spanning PI3K/AKT/mTOR, RAS/MAPK, Hippo, Notch, etc. (ucdal2024crosstalkbetween pages 1-2, szilveszter2024molecularmechanismsin pages 2-4, peruhova2024geneticscreeningof pages 2-4).

Quantitative frequency ranges (from a 2024 clinical-genomics cohort summary): TERT promoter ~60%; TP53 ~12–48%; CTNNB1 ~11–37% (song2024genomicprofilinginforms pages 1-2). Another 2024 mechanistic review describes TERT promoter as “the single most common HCC mutation (up to 60%)” and provides etiology-stratified frequencies: HCV ~44%, non-viral ~38%, HBV ~23% (ucdal2024crosstalkbetween pages 1-2).

4.2 Pathways and mechanistic chain (example)

A common causal chain described in contemporary reviews is: 1) chronic injury (HBV/HCV, alcohol, MASLD/MASH) → 2) inflammation/fibrosis/cirrhosis microenvironment → 3) selection for telomerase activation (TERT promoter) and oncogenic signaling alterations (Wnt/β-catenin, PI3K/AKT/mTOR, RAS/MAPK, Hippo, Notch) → 4) tumor initiation/progression with immunosuppressive tumor microenvironment and angiogenesis → 5) clinical HCC with recurrence/metastasis risk (hwang2024hepatocellularcarcinomaupdates pages 1-3, szilveszter2024molecularmechanismsin pages 2-4, pessino2024hepatocellularcarcinomaold pages 15-17).

4.3 Clinically relevant associations and biomarkers

  • Immune microenvironment associations with genotype: TP53 mutations have been associated with increased immune infiltration, while CTNNB1 and KMT2D mutations correlate with decreased immune infiltration (implicating Wnt-driven “immune-cold” phenotypes relevant to immunotherapy) (song2024genomicprofilinginforms pages 1-2).
  • Prognostic genomic alterations (example cohort): LATS1 alterations associated with markedly shorter recurrence-free survival (RFS 5.57 vs 22.47 months) in a 2024 targeted-sequencing cohort (wang2024novelgeneticalterations pages 1-2).

4.4 Epigenetics

While detailed locus-level methylation/histone data were not extracted from a single primary epigenome paper in this run, 2024 reviews emphasize that harmful epigenetic modifications (DNA methylation/chromatin changes) interact with driver mutations and contribute to intratumoral heterogeneity and progression; these are also being explored therapeutically in combination regimens (szilveszter2024molecularmechanismsin pages 2-4).

4.5 Ontology suggestions

  • GO biological process (examples): Wnt signaling (GO:0016055), angiogenesis (GO:0001525), epithelial–mesenchymal transition (GO:0001837), inflammatory response (GO:0006954), T cell activation (GO:0042110).

5. Environmental information

5.1 Environmental and lifestyle contributors

  • Alcohol: ALD is a major and rising contributor to HCC incidence (hwang2024hepatocellularcarcinomaupdates pages 1-3, hwang2024hepatocellularcarcinomaupdates pages 4-6). The MASLD guideline discourages alcohol consumption in all individuals with steatotic liver disease, noting that alcohol worsens liver outcomes and increases HCC risk versus abstinence ((easo)2024easleasdeasoclinicalpractice pages 10-11).
  • Diet/obesity/physical activity: MASLD guideline highlights associations between unhealthy dietary patterns (e.g., sugar-sweetened beverages, red/processed meat) and higher risk of MASLD and liver cancer, while healthy lifestyle and physical activity reduce risk of MASLD, HCC, and liver-related mortality ((easo)2024easleasdeasoclinicalpractice pages 10-11).
  • Aflatoxin: geographic concentrations include Sub-Saharan Africa, Southeast Asia, and China (hwang2024hepatocellularcarcinomaupdates pages 4-6).

5.2 Infectious agents

HBV and HCV are key infectious causes (hwang2024hepatocellularcarcinomaupdates pages 4-6). Chronic HBV/HCV contributions to liver cancer incidence and death are quantified above (hwang2024hepatocellularcarcinomaupdates pages 4-6).


6. Mechanism / pathophysiology

6.1 Molecular pathways (selected high-confidence)

Pathways repeatedly emphasized in 2024-era mechanistic and clinical-genomics literature include: - Wnt/β-catenin (CTNNB1, AXIN1) (ucdal2024crosstalkbetween pages 1-2, szilveszter2024molecularmechanismsin pages 2-4) - PI3K/AKT/mTOR (common pathway alteration; mutational contributors include PTEN, PIK3CA, MTOR, AKT2) (pessino2024hepatocellularcarcinomaold pages 15-17) - RAS/RAF/MAPK (frequently altered signaling; also prominent in DEN mouse model mutational spectrum) (szilveszter2024molecularmechanismsin pages 2-4, cigliano2024preclinicalmodelsof pages 9-10) - Hippo, Notch, Hedgehog (enriched in WES pathway analyses and reviews) (kassem2024genomiclandscapeof pages 1-2, szilveszter2024molecularmechanismsin pages 2-4)

6.2 Immune system involvement (2024 single-cell/spatial advances)

Single-cell and spatial transcriptomics studies in 2024 provide mechanistic insight into why only a subset of patients respond to PD-1/PD-L1 blockade: - An “immune barrier” composed of macrophages and cancer-associated fibroblasts (CAFs) can physically/chemically impede CD8+ T-cell infiltration; non-responders show increased immunosuppressive macrophage states (e.g., TREM2+ macrophages, SPP1+ macrophages) and CAF markers (e.g., POSTN) (li2024singlecellanalyses pages 1-2, li2024singlecellanalyses pages 6-8). - A large integrated single-cell+spatial analysis mapped malignant-cell heterogeneity and identified a pro-metastatic EMT-like tumor-cell subtype with TGF-β/SMAD3 activation, associated with worse prognosis and an immune-poor (“deserted”) microenvironment; a tumor–fibroblast feedback loop (SPP1–CD44 and CCN2/TGF-β–TGFBR1) was proposed as actionable (guo2024singlecelltumorheterogeneity pages 1-2).

6.3 Cell types (CL suggestions)

  • CL:0000182 hepatocyte
  • CL:0000235 macrophage (tumor-associated macrophages)
  • CL:0000066 fibroblast (including CAFs)
  • CL:0000624 CD8-positive, alpha-beta T cell
  • CL:0000115 endothelial cell

7. Anatomical structures affected

7.1 Organ/tissue level (UBERON suggestions)

  • Primary organ: liver (UBERON:0002107)
  • Commonly co-affected tissue state: cirrhotic liver parenchyma / fibrotic liver (context of chronic liver disease) (mattos2024hepatocellularcarcinomatherole pages 1-2, hwang2024hepatocellularcarcinomaupdates pages 1-3)

7.2 Subcellular/cellular components (GO cellular component suggestions)

Given the strong emphasis on transcriptional reprogramming, signaling, and metabolism in HCC, commonly implicated compartments include nucleus (GO:0005634), mitochondrion (GO:0005739), and plasma membrane (GO:0005886) (pathway-level support in 2024 mechanistic reviews) (szilveszter2024molecularmechanismsin pages 2-4).


8. Temporal development

8.1 Onset and progression

HCC usually develops over years in the context of chronic liver disease with progressive fibrosis/cirrhosis. Contemporary reviews emphasize that shifting etiologies (MASLD/ALD) may worsen ultrasound performance and complicate surveillance because MASLD-associated HCC can occur without cirrhosis (25–30% of MASLD-HCC cases without cirrhosis) (hwang2024hepatocellularcarcinomaupdates pages 6-7).

8.2 Staging systems (current practice)

Major guidelines commonly endorse Barcelona Clinic Liver Cancer (BCLC) staging to integrate tumor burden, liver function, and performance status, guiding therapy selection (seth2024clinicalpracticeguidelines pages 2-3, seth2024clinicalpracticeguidelines pages 10-11).


9. Inheritance and population

9.1 Epidemiology (recent statistics)

  • Global burden (GBD 2021): ~529,000 new liver cancer cases and ~483,800 deaths in 2021; >70% of cases occur in Asia (hwang2024hepatocellularcarcinomaupdates pages 1-3).
  • A 2024 surveillance review reports HCC as >800,000 new cases/year and 5-year overall survival ~18% (global summary) (wu2024hepatocellularcarcinomasurveillance pages 1-2).

9.2 Demographics

Sex disparity (higher incidence and mortality in men) and marked geographic variation by etiology (HBV-dominant regions in Asia/Africa; HCV prominent in specific countries; rising MASLD/ALD in Western settings) are emphasized in 2024 reviews (kinsey2024managementofhepatocellular pages 1-2, hwang2024hepatocellularcarcinomaupdates pages 1-3).


10. Diagnostics

10.1 Surveillance (real-world implementation)

AASLD-aligned surveillance: semi-annual (every 6 months) abdominal ultrasound plus AFP for at-risk populations (e.g., Child-Pugh A/B cirrhosis any etiology; Child-Pugh C if transplant candidate; selected non-cirrhotic HBV by risk stratification) (wu2024hepatocellularcarcinomasurveillance pages 4-5, hwang2024hepatocellularcarcinomaupdates pages 6-7). A contemporary review underscores that even ultrasound+AFP still misses over one-third of early-stage HCC (hwang2024hepatocellularcarcinomaupdates pages 6-7).

MASLD-specific considerations (EASL-EASD-EASO 2024): surveillance is strongly recommended for MASLD-related cirrhosis; not recommended for non-cirrhotic MASLD/MASH without severe fibrosis (<F3), while F3 may be considered case-by-case; MRI can be used when ultrasound visualization is poor ((easo)2024easleasdeasoclinicalpractice pages 46-48, (easo)2024easleasdeasoclinicalpractice pages 20-21).

10.2 Diagnostic imaging criteria (noninvasive diagnosis)

International imaging guidelines converge that noninvasive HCC diagnosis applies only to high-risk patients, and relies on multiphasic contrast-enhanced CT or MRI as first-line diagnostic exams (cannella2024esressentialsdiagnosis pages 1-3, cannella2024esressentialsdiagnosis pages 3-5). Major imaging features include: - Non-rim arterial phase hyperenhancement (APHE) - Non-peripheral washout - Enhancing capsule - Threshold growth (e.g., LI-RADS ≥50% increase in <6 months) (cannella2024esressentialsdiagnosis pages 5-7, cannella2024esressentialsdiagnosis pages 7-10)

A guideline-comparison table (cropped) is available here and summarizes the major features and size thresholds across EASL/AASLD(LI-RADS)/APASL/KLCA-NCC frameworks (cannella2024esressentialsdiagnosis media b948aa3a).

Performance characteristics cited in ESR/ESGAR 2024: a cited meta-analysis reports similar specificity for CT and MRI (>90%) but higher sensitivity for MRI (61–82% vs 48–66%), supporting MRI preference for small lesions when feasible (cannella2024esressentialsdiagnosis pages 3-5).

10.3 Biopsy

Biopsy is generally reserved for inconclusive imaging or non-cirrhotic contexts; it carries risks (bleeding, seeding) and non-trivial false-negative rate (~33% reported in a guideline review) (seth2024clinicalpracticeguidelines pages 2-3).


11. Outcome / prognosis

11.1 Survival statistics

  • Global surveillance review summary: 5-year overall survival around ~18% (wu2024hepatocellularcarcinomasurveillance pages 1-2).
  • When detected at early stage and treated curatively, 5-year survival can exceed 60% after resection or transplant in selected patients (wu2024hepatocellularcarcinomasurveillance pages 1-2).

11.2 Prognostic factors (examples)

  • Liver function and tumor burden drive outcomes and treatment selection, motivating integrated staging frameworks (BCLC) and liver-function measures (e.g., ALBI) (xie2023areviewof pages 1-2, gordan2024systemictherapyfor pages 1-2).
  • Molecular features can stratify recurrence and survival in genomic cohorts (e.g., LATS1 recurrence association; immune infiltration differences by TP53 vs CTNNB1) (wang2024novelgeneticalterations pages 1-2, song2024genomicprofilinginforms pages 1-2).

12. Treatment

12.1 Curative-intent local therapies (real-world implementations)

Contemporary guideline syntheses describe the standard curative-intent options for early-stage disease: surgical resection, percutaneous ablation (e.g., RFA), and liver transplantation, with transplant selection often using Milan criteria (single ≤5 cm or ≤3 lesions each ≤3 cm, no macrovascular invasion or extrahepatic spread) (wu2024hepatocellularcarcinomasurveillance pages 1-2, seth2024clinicalpracticeguidelines pages 10-11).

12.2 Locoregional therapies

Intermediate-stage disease often uses transarterial therapies (TACE) and other locoregional approaches; recent paradigms include combining locoregional with systemic therapy and conversion/downstaging approaches to enable later resection/transplant (li2024introductionto2023 pages 7-7, kinsey2024managementofhepatocellular pages 1-2).

Example real-world combination implementation (2024): TACE combined with atezolizumab+bevacizumab in an unresectable HCC multicenter cohort (n=92) had ORR 54.3% (mRECIST) / 41.3% (RECIST 1.1), median OS 15.9 months, median PFS 9.1 months, and grade 3/4 treatment-related AEs 16.3% (shen2024efficacyofatezolizumab pages 1-2).

12.3 Systemic therapy (authoritative 2024 guideline recommendations)

ASCO Guideline Update (May 2024): - Preferred first-line (Child-Pugh A; ECOG PS 0–1): atezolizumab + bevacizumab or durvalumab + tremelimumab (gordan2024systemictherapyfor pages 1-2, gordan2024systemictherapyfor pages 2-4). - If contraindications to those combinations: sorafenib, lenvatinib, or durvalumab may be offered first-line (gordan2024systemictherapyfor pages 2-4). - Subsequent-line therapy depends on prior regimen; after atezo+bev, options include TKIs and ramucirumab for AFP ≥400 ng/mL; after durva+treme, a TKI is recommended; after sorafenib/lenvatinib, options include cabozantinib/regorafenib/ramucirumab (AFP ≥400) and immune checkpoint combinations (nivo+ipi) in selected patients (gordan2024systemictherapyfor pages 2-4, gordan2024systemictherapyfor pages 13-14). - Panel emphasizes variceal screening/management prior to atezo+bev because bevacizumab increases bleeding risk, and recommends caution for Child-Pugh B patients (gordan2024systemictherapyfor pages 4-5, gordan2024systemictherapyfor pages 14-14).

Pivotal efficacy benchmarks for atezolizumab+bevacizumab (IMbrave150): Updated median OS 19.2 vs 13.4 months compared with sorafenib (HR 0.66, 95% CI 0.52–0.85) (finn2024efficacyandsafety pages 2-4). A 2024 IMbrave150 subgroup analysis for Vp4 portal vein tumor thrombosis reported median OS 7.6 vs 5.5 months and median PFS 5.4 vs 2.8 months for atezo+bev vs sorafenib, with grade ≥3 treatment-related AEs 43% vs 48% (finn2024efficacyandsafety pages 1-2).

Real-world effectiveness (meta-analytic): A 2023 single-arm meta-analysis of atezo+bev (23 studies; 3168 patients) reported pooled median OS 14.7 months, median PFS 6.66 months, ORR 26% (RECIST, long-term), and grade ≥3 AEs 30% (gao2023efficacyandsafety pages 1-2).

12.4 MAXO term suggestions (non-exhaustive)

  • Liver transplantation; surgical resection; radiofrequency ablation; transarterial chemoembolization; immune checkpoint inhibitor therapy; anti-VEGF therapy; tyrosine kinase inhibitor therapy.

13. Prevention

13.1 Primary prevention

  • HBV vaccination and antiviral therapy are credited with reducing HBV-related HCC burden over time (hwang2024hepatocellularcarcinomaupdates pages 1-3, hwang2024hepatocellularcarcinomaupdates pages 4-6).
  • Lifestyle/metabolic risk reduction (MASLD guideline, 2024): weight loss targets for overweight MASLD: ≥5% reduces liver fat; 7–10% improves inflammation; ≥10% improves fibrosis; physical activity targets >150 min/week moderate or 75 min/week vigorous; discouraging alcohol and avoiding ultra-processed foods/sugar-sweetened beverages are recommended ((easo)2024easleasdeasoclinicalpractice pages 46-48, (easo)2024easleasdeasoclinicalpractice pages 10-11).

13.2 Secondary prevention (screening/surveillance)

Semi-annual ultrasound ± AFP surveillance in high-risk groups is the central population-level approach (wu2024hepatocellularcarcinomasurveillance pages 4-5, hwang2024hepatocellularcarcinomaupdates pages 6-7). For MASLD, surveillance is recommended for cirrhosis and individualized for F3 fibrosis ((easo)2024easleasdeasoclinicalpractice pages 46-48, (easo)2024easleasdeasoclinicalpractice pages 20-21).


14. Other species / natural disease

No veterinary or wildlife comparative HCC evidence was retrieved in the current evidence set. (No claim can be supported here without additional targeted retrieval.)


15. Model organisms and experimental models

15.1 Model system landscape (2024 synthesis)

A 2024 review summarizes HCC models spanning chemically/dietary induced models (e.g., DEN; CCl4; NASH diets), genetic/oncogene-driven models (including hydrodynamic tail vein injection and transposon systems), transplantation models (xenografts/PDX; heterotopic and orthotopic), and advanced ex vivo/in vitro platforms (precision-cut tissue slices, organoids, organ-on-chip) (cigliano2024preclinicalmodelsof pages 1-2, cigliano2024preclinicalmodelsof pages 17-18).

15.2 Key examples and limitations

  • DEN chemical model: typically yields HCC by ~40 weeks, male predominant; commonly produces Ras/MAPK-leaning mutation spectra (activating Hras/Braf/Egfr), which can differ from human CTNNB1 mutation patterns (cigliano2024preclinicalmodelsof pages 7-9, cigliano2024preclinicalmodelsof pages 9-10).
  • CCl4 and NASH/fibrosis models: used to induce liver injury/fibrosis and model NASH→HCC contexts; outcomes are strain- and protocol-dependent (cigliano2024preclinicalmodelsof pages 17-18, cigliano2024preclinicalmodelsof pages 9-10).
  • Hydrodynamic tail vein injection (HTVI): enables rapid, pathway-specific tumor modeling (e.g., AKT/Ras; c-Met/sgPten; AKT/β-catenin), supporting targeted drug testing and mechanistic studies of initiation (cigliano2024preclinicalmodelsof pages 15-17, cigliano2024preclinicalmodelsof pages 20-21).
  • Organoids: can retain genomic features/heterogeneity and support screening, but often lack immune/vascular components and can be technically challenging with limited establishment success (e.g., ~30% patient-derived tumoroids reported) (cigliano2024preclinicalmodelsof pages 6-7, cigliano2024preclinicalmodelsof pages 1-2).

Expert opinions / analysis (authoritative sources, 2024)

1) Systemic therapy sequencing remains complex: ASCO (2024) emphasizes shared decision-making (toxicity, cost, bleeding risk, autoimmune risk) and cautions extrapolation beyond trial populations (mostly Child-Pugh A), reflecting real-world complexity in patients with cirrhosis (gordan2024systemictherapyfor pages 2-4, gordan2024systemictherapyfor pages 14-14).

2) Noninvasive imaging diagnosis requires context: ESR/ESGAR (2024) stresses that noninvasive diagnosis is restricted to high-risk patients and requires combining major imaging features, not relying on a single sign; guideline differences around hepatobiliary phase features can alter sensitivity/specificity (cannella2024esressentialsdiagnosis pages 1-3, cannella2024esressentialsdiagnosis pages 7-10).

3) Etiology shift is altering detection and outcomes: The CMH 2024 epidemiology update argues ultrasound surveillance may perform worse as MASLD/ALD increase, and MASLD-associated HCC can arise without cirrhosis—challenging traditional “cirrhosis-only” surveillance paradigms (hwang2024hepatocellularcarcinomaupdates pages 6-7, hwang2024hepatocellularcarcinomaupdates pages 1-3).


Notes on evidence gaps in this run

  • MONDO and MeSH IDs were not successfully retrieved in the available evidence excerpts; additional ontology-specific retrieval would be required for a fully populated identifier panel.
  • PMID-level citations were not consistently available from the retrieved excerpts; therefore this report cites DOI/URLs and the provided evidence context IDs.

Key URLs (selected)

  • ASCO 2024 guideline update (published May 2024): https://doi.org/10.1200/JCO.23.02745 (gordan2024systemictherapyfor pages 1-2)
  • ESR/ESGAR imaging recommendations (published Feb 2024): https://doi.org/10.1007/s00330-024-10606-w (cannella2024esressentialsdiagnosis pages 1-3)
  • EASL-EASD-EASO MASLD guideline (published Jun 2024): https://doi.org/10.1159/000539371 ((easo)2024easleasdeasoclinicalpractice pages 46-48)
  • CMH epidemiology/surveillance update (published Dec 2024 online): https://doi.org/10.3350/cmh.2024.0824 (hwang2024hepatocellularcarcinomaupdates pages 1-3)
  • IMbrave150 Vp4 PVTT subgroup analysis (published Jun 2024): https://doi.org/10.1159/000539897 (finn2024efficacyandsafety pages 1-2)

References

  1. (OpenTargets Search: hepatocellular carcinoma): Open Targets Query (hepatocellular carcinoma, 13 results). Buniello, A. et al. (2025). Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery. Nucleic Acids Research.

  2. (hwang2024hepatocellularcarcinomaupdates pages 1-3): Soo Young Hwang, Pojsakorn Danpanichkul, Vatche Agopian, Neil Mehta, Neehar D. Parikh, Ghassan K. Abou-Alfa, Amit G. Singal, and Ju Dong Yang. Hepatocellular carcinoma: updates on epidemiology, surveillance, diagnosis and treatment. Clinical and Molecular Hepatology, Dec 2024. URL: https://doi.org/10.3350/cmh.2024.0824, doi:10.3350/cmh.2024.0824. This article has 238 citations.

  3. (kinsey2024managementofhepatocellular pages 1-2): Emily Kinsey and Hannah M. Lee. Management of hepatocellular carcinoma in 2024: the multidisciplinary paradigm in an evolving treatment landscape. Cancers, 16:666, Feb 2024. URL: https://doi.org/10.3390/cancers16030666, doi:10.3390/cancers16030666. This article has 136 citations.

  4. (cannella2024esressentialsdiagnosis pages 1-3): Roberto Cannella, Marc Zins, and Giuseppe Brancatelli. Esr essentials: diagnosis of hepatocellular carcinoma—practice recommendations by esgar. European Radiology, 34:2127-2139, Feb 2024. URL: https://doi.org/10.1007/s00330-024-10606-w, doi:10.1007/s00330-024-10606-w. This article has 32 citations and is from a domain leading peer-reviewed journal.

  5. (mattos2024hepatocellularcarcinomatherole pages 1-2): Angelo Zambam de Mattos, Isadora Zanotelli Bombassaro, Arndt Vogel, and Jose D Debes. Hepatocellular carcinoma-the role of the underlying liver disease in clinical practice. World Journal of Gastroenterology, 30:2488-2495, May 2024. URL: https://doi.org/10.3748/wjg.v30.i19.2488, doi:10.3748/wjg.v30.i19.2488. This article has 13 citations.

  6. (hwang2024hepatocellularcarcinomaupdates pages 6-7): Soo Young Hwang, Pojsakorn Danpanichkul, Vatche Agopian, Neil Mehta, Neehar D. Parikh, Ghassan K. Abou-Alfa, Amit G. Singal, and Ju Dong Yang. Hepatocellular carcinoma: updates on epidemiology, surveillance, diagnosis and treatment. Clinical and Molecular Hepatology, Dec 2024. URL: https://doi.org/10.3350/cmh.2024.0824, doi:10.3350/cmh.2024.0824. This article has 238 citations.

  7. (gordan2024systemictherapyfor pages 1-2): John D. Gordan, Erin B. Kennedy, Ghassan K. Abou-Alfa, Eliza Beal, Richard S. Finn, Terence P. Gade, Laura Goff, Shilpi Gupta, Jennifer Guy, Hang T. Hoang, Renuka Iyer, Ishmael Jaiyesimi, Minaxi Jhawer, Asha Karippot, Ahmed O. Kaseb, R. Kate Kelley, Jeremy Kortmansky, Andrea Leaf, William M. Remak, Davendra P.S. Sohal, Tamar H. Taddei, Andrea Wilson Woods, Mark Yarchoan, and Michal G. Rose. Systemic therapy for advanced hepatocellular carcinoma: asco guideline update. Journal of Clinical Oncology, 42:1830-1850, May 2024. URL: https://doi.org/10.1200/jco.23.02745, doi:10.1200/jco.23.02745. This article has 285 citations and is from a highest quality peer-reviewed journal.

  8. ((easo)2024easleasdeasoclinicalpractice pages 46-48): European Association for the Study of the Liver (EASL). Easl-easd-easo clinical practice guidelines on the management of metabolic dysfunction-associated steatotic liver disease (masld). Obesity Facts, 17:374-444, Jun 2024. URL: https://doi.org/10.1159/000539371, doi:10.1159/000539371. This article has 316 citations and is from a peer-reviewed journal.

  9. (shen2024efficacyofatezolizumab pages 1-2): Xiao Shen, Jin-Xing Zhang, Jin Liu, Sheng Liu, Hai-Bin Shi, Yuan Cheng, Qing-Qiao Zhang, Guo-Wen Yin, and Qing-Quan Zu. Efficacy of atezolizumab plus bevacizumab combined with transarterial chemoembolization for unresectable hepatocellular carcinoma: a real-world study. Journal of Hepatocellular Carcinoma, 11:1993-2003, Oct 2024. URL: https://doi.org/10.2147/jhc.s478604, doi:10.2147/jhc.s478604. This article has 4 citations and is from a peer-reviewed journal.

  10. (song2024genomicprofilinginforms pages 1-2): Mengqi Song, Haoyue Cheng, Hao Zou, Kai Ma, Lianfang Lu, Qian Wei, Zejiang Xu, Zirui Tang, Yuanzheng Zhang, Yinan Wang, and Chuandong Sun. Genomic profiling informs therapies and prognosis for patients with hepatocellular carcinoma in clinical practice. BMC Cancer, Jun 2024. URL: https://doi.org/10.1186/s12885-024-12407-2, doi:10.1186/s12885-024-12407-2. This article has 8 citations and is from a peer-reviewed journal.

  11. (hwang2024hepatocellularcarcinomaupdates pages 4-6): Soo Young Hwang, Pojsakorn Danpanichkul, Vatche Agopian, Neil Mehta, Neehar D. Parikh, Ghassan K. Abou-Alfa, Amit G. Singal, and Ju Dong Yang. Hepatocellular carcinoma: updates on epidemiology, surveillance, diagnosis and treatment. Clinical and Molecular Hepatology, Dec 2024. URL: https://doi.org/10.3350/cmh.2024.0824, doi:10.3350/cmh.2024.0824. This article has 238 citations.

  12. (peruhova2024geneticscreeningof pages 2-4): Milena Peruhova, Sonya Banova-Chakarova, Dimitrina Georgieva Miteva, and Tsvetelina Velikova. Genetic screening of liver cancer: state of the art. World Journal of Hepatology, 16:716-730, May 2024. URL: https://doi.org/10.4254/wjh.v16.i5.716, doi:10.4254/wjh.v16.i5.716. This article has 7 citations.

  13. (ucdal2024crosstalkbetween pages 1-2): Mete Ucdal, Ayşe Buruş, and B. Çeltikçi. Cross talk between genetics and biochemistry in the pathogenesis of hepatocellular carcinoma. Hepatology Forum, 5:150-160, Jul 2024. URL: https://doi.org/10.14744/hf.2023.2023.0028, doi:10.14744/hf.2023.2023.0028. This article has 2 citations.

  14. (wu2024hepatocellularcarcinomasurveillance pages 1-2): Gavin Wu, Nojan Bajestani, Nooruddin Pracha, Cindy Chen, and Mina S. Makary. Hepatocellular carcinoma surveillance strategies: major guidelines and screening advances. Cancers, 16:3933, Nov 2024. URL: https://doi.org/10.3390/cancers16233933, doi:10.3390/cancers16233933. This article has 24 citations.

  15. (seth2024clinicalpracticeguidelines pages 2-3): Ishith Seth, Adrian Siu, Lyndel Hewitt, Ulvi Budak, Beshoy Farah, and Mouhannad Jaber. Clinical practice guidelines for the management of hepatocellular carcinoma: a systematic review. Journal of Gastrointestinal Cancer, 55:318-331, Jul 2024. URL: https://doi.org/10.1007/s12029-023-00961-0, doi:10.1007/s12029-023-00961-0. This article has 4 citations.

  16. (szilveszter2024molecularmechanismsin pages 2-4): Raluca-Margit Szilveszter, M. Muntean, and Adrian-Florin Florea. Molecular mechanisms in tumorigenesis of hepatocellular carcinoma and in target treatments—an overview. Biomolecules, 14:656, Jun 2024. URL: https://doi.org/10.3390/biom14060656, doi:10.3390/biom14060656. This article has 18 citations.

  17. (pessino2024hepatocellularcarcinomaold pages 15-17): Greta Pessino, Claudia Scotti, and Maristella Maggi. Hepatocellular carcinoma: old and emerging therapeutic targets. Cancers, 16:901, Feb 2024. URL: https://doi.org/10.3390/cancers16050901, doi:10.3390/cancers16050901. This article has 42 citations.

  18. (wang2024novelgeneticalterations pages 1-2): Yizhou Wang, Pei-pei Shang, Chang Xu, Wei Dong, Xiaofeng Zhang, Yong Xia, Chengjun Sui, and Cheng Yang. Novel genetic alterations in liver cancer distinguish distinct clinical outcomes and combination immunotherapy responses. Frontiers in Pharmacology, Jun 2024. URL: https://doi.org/10.3389/fphar.2024.1416295, doi:10.3389/fphar.2024.1416295. This article has 3 citations.

  19. ((easo)2024easleasdeasoclinicalpractice pages 10-11): European Association for the Study of the Liver (EASL). Easl-easd-easo clinical practice guidelines on the management of metabolic dysfunction-associated steatotic liver disease (masld). Obesity Facts, 17:374-444, Jun 2024. URL: https://doi.org/10.1159/000539371, doi:10.1159/000539371. This article has 316 citations and is from a peer-reviewed journal.

  20. (cigliano2024preclinicalmodelsof pages 9-10): Antonio Cigliano, Weiting Liao, Giovanni A. Deiana, Davide Rizzo, Xin Chen, and Diego F. Calvisi. Preclinical models of hepatocellular carcinoma: current utility, limitations, and challenges. Biomedicines, 12:1624, Jul 2024. URL: https://doi.org/10.3390/biomedicines12071624, doi:10.3390/biomedicines12071624. This article has 26 citations.

  21. (kassem2024genomiclandscapeof pages 1-2): Perihan Hamdy Kassem, Iman Fawzy Montasser, Ramy Mohamed Mahmoud, Rasha Ahmed Ghorab, Dina A. AbdelHakam, Marium EL Sayed Ahmad Fathi, Marwa A. Abdel Wahed, Khaled Mohey, Mariam Ibrahim, Mohamed El Hadidi, Yasmine M. Masssoud, Manar Salah, Arwa Abugable, Mohamad Bahaa, Sherif El Khamisy, and Mahmoud El Meteini. Genomic landscape of hepatocellular carcinoma in egyptian patients by whole exome sequencing. BMC Medical Genomics, Aug 2024. URL: https://doi.org/10.1186/s12920-024-01965-w, doi:10.1186/s12920-024-01965-w. This article has 5 citations and is from a peer-reviewed journal.

  22. (li2024singlecellanalyses pages 1-2): Yao Li, Fengwei Li, Lei Xu, Xiaodong Shi, Hui Xue, Jianwei Liu, Shilei Bai, Yeye Wu, Zhao Yang, Feng Xue, Yong Xia, Hui Dong, Feng Shen, and Kui Wang. Single cell analyses reveal the pd-1 blockade response-related immune features in hepatocellular carcinoma. Theranostics, 14:3526-3547, Jun 2024. URL: https://doi.org/10.7150/thno.95971, doi:10.7150/thno.95971. This article has 22 citations and is from a domain leading peer-reviewed journal.

  23. (li2024singlecellanalyses pages 6-8): Yao Li, Fengwei Li, Lei Xu, Xiaodong Shi, Hui Xue, Jianwei Liu, Shilei Bai, Yeye Wu, Zhao Yang, Feng Xue, Yong Xia, Hui Dong, Feng Shen, and Kui Wang. Single cell analyses reveal the pd-1 blockade response-related immune features in hepatocellular carcinoma. Theranostics, 14:3526-3547, Jun 2024. URL: https://doi.org/10.7150/thno.95971, doi:10.7150/thno.95971. This article has 22 citations and is from a domain leading peer-reviewed journal.

  24. (guo2024singlecelltumorheterogeneity pages 1-2): De-Zhen Guo, Xin Zhang, Sen-Quan Zhang, Shi-Yu Zhang, Xiang-Yu Zhang, Jia-Yan Yan, San-Yuan Dong, Kai Zhu, Xin-Rong Yang, Jia Fan, Jian Zhou, and Ao Huang. Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts. Molecular Cancer, Aug 2024. URL: https://doi.org/10.1186/s12943-024-02062-3, doi:10.1186/s12943-024-02062-3. This article has 69 citations and is from a highest quality peer-reviewed journal.

  25. (seth2024clinicalpracticeguidelines pages 10-11): Ishith Seth, Adrian Siu, Lyndel Hewitt, Ulvi Budak, Beshoy Farah, and Mouhannad Jaber. Clinical practice guidelines for the management of hepatocellular carcinoma: a systematic review. Journal of Gastrointestinal Cancer, 55:318-331, Jul 2024. URL: https://doi.org/10.1007/s12029-023-00961-0, doi:10.1007/s12029-023-00961-0. This article has 4 citations.

  26. (wu2024hepatocellularcarcinomasurveillance pages 4-5): Gavin Wu, Nojan Bajestani, Nooruddin Pracha, Cindy Chen, and Mina S. Makary. Hepatocellular carcinoma surveillance strategies: major guidelines and screening advances. Cancers, 16:3933, Nov 2024. URL: https://doi.org/10.3390/cancers16233933, doi:10.3390/cancers16233933. This article has 24 citations.

  27. ((easo)2024easleasdeasoclinicalpractice pages 20-21): European Association for the Study of the Liver (EASL). Easl-easd-easo clinical practice guidelines on the management of metabolic dysfunction-associated steatotic liver disease (masld). Obesity Facts, 17:374-444, Jun 2024. URL: https://doi.org/10.1159/000539371, doi:10.1159/000539371. This article has 316 citations and is from a peer-reviewed journal.

  28. (cannella2024esressentialsdiagnosis pages 3-5): Roberto Cannella, Marc Zins, and Giuseppe Brancatelli. Esr essentials: diagnosis of hepatocellular carcinoma—practice recommendations by esgar. European Radiology, 34:2127-2139, Feb 2024. URL: https://doi.org/10.1007/s00330-024-10606-w, doi:10.1007/s00330-024-10606-w. This article has 32 citations and is from a domain leading peer-reviewed journal.

  29. (cannella2024esressentialsdiagnosis pages 5-7): Roberto Cannella, Marc Zins, and Giuseppe Brancatelli. Esr essentials: diagnosis of hepatocellular carcinoma—practice recommendations by esgar. European Radiology, 34:2127-2139, Feb 2024. URL: https://doi.org/10.1007/s00330-024-10606-w, doi:10.1007/s00330-024-10606-w. This article has 32 citations and is from a domain leading peer-reviewed journal.

  30. (cannella2024esressentialsdiagnosis pages 7-10): Roberto Cannella, Marc Zins, and Giuseppe Brancatelli. Esr essentials: diagnosis of hepatocellular carcinoma—practice recommendations by esgar. European Radiology, 34:2127-2139, Feb 2024. URL: https://doi.org/10.1007/s00330-024-10606-w, doi:10.1007/s00330-024-10606-w. This article has 32 citations and is from a domain leading peer-reviewed journal.

  31. (cannella2024esressentialsdiagnosis media b948aa3a): Roberto Cannella, Marc Zins, and Giuseppe Brancatelli. Esr essentials: diagnosis of hepatocellular carcinoma—practice recommendations by esgar. European Radiology, 34:2127-2139, Feb 2024. URL: https://doi.org/10.1007/s00330-024-10606-w, doi:10.1007/s00330-024-10606-w. This article has 32 citations and is from a domain leading peer-reviewed journal.

  32. (xie2023areviewof pages 1-2): Di-Yang Xie, Kai Zhu, Zheng-Gang Ren, Jian Zhou, Jia Fan, and Qiang Gao. A review of 2022 chinese clinical guidelines on the management of hepatocellular carcinoma: updates and insights. Hepatobiliary Surgery and Nutrition, 12:216-228, Apr 2023. URL: https://doi.org/10.21037/hbsn-22-469, doi:10.21037/hbsn-22-469. This article has 157 citations and is from a peer-reviewed journal.

  33. (li2024introductionto2023 pages 7-7): Jiexun Li, Zhuoran Qi, Jian Zhang, Sinuo Chen, and Jinglin Xia. Introduction to 2023 chinese expert consensus on the whole-course management of hepatocellular carcinoma. Hepatoma Research, Mar 2024. URL: https://doi.org/10.20517/2394-5079.2024.16, doi:10.20517/2394-5079.2024.16. This article has 0 citations.

  34. (gordan2024systemictherapyfor pages 2-4): John D. Gordan, Erin B. Kennedy, Ghassan K. Abou-Alfa, Eliza Beal, Richard S. Finn, Terence P. Gade, Laura Goff, Shilpi Gupta, Jennifer Guy, Hang T. Hoang, Renuka Iyer, Ishmael Jaiyesimi, Minaxi Jhawer, Asha Karippot, Ahmed O. Kaseb, R. Kate Kelley, Jeremy Kortmansky, Andrea Leaf, William M. Remak, Davendra P.S. Sohal, Tamar H. Taddei, Andrea Wilson Woods, Mark Yarchoan, and Michal G. Rose. Systemic therapy for advanced hepatocellular carcinoma: asco guideline update. Journal of Clinical Oncology, 42:1830-1850, May 2024. URL: https://doi.org/10.1200/jco.23.02745, doi:10.1200/jco.23.02745. This article has 285 citations and is from a highest quality peer-reviewed journal.

  35. (gordan2024systemictherapyfor pages 13-14): John D. Gordan, Erin B. Kennedy, Ghassan K. Abou-Alfa, Eliza Beal, Richard S. Finn, Terence P. Gade, Laura Goff, Shilpi Gupta, Jennifer Guy, Hang T. Hoang, Renuka Iyer, Ishmael Jaiyesimi, Minaxi Jhawer, Asha Karippot, Ahmed O. Kaseb, R. Kate Kelley, Jeremy Kortmansky, Andrea Leaf, William M. Remak, Davendra P.S. Sohal, Tamar H. Taddei, Andrea Wilson Woods, Mark Yarchoan, and Michal G. Rose. Systemic therapy for advanced hepatocellular carcinoma: asco guideline update. Journal of Clinical Oncology, 42:1830-1850, May 2024. URL: https://doi.org/10.1200/jco.23.02745, doi:10.1200/jco.23.02745. This article has 285 citations and is from a highest quality peer-reviewed journal.

  36. (gordan2024systemictherapyfor pages 4-5): John D. Gordan, Erin B. Kennedy, Ghassan K. Abou-Alfa, Eliza Beal, Richard S. Finn, Terence P. Gade, Laura Goff, Shilpi Gupta, Jennifer Guy, Hang T. Hoang, Renuka Iyer, Ishmael Jaiyesimi, Minaxi Jhawer, Asha Karippot, Ahmed O. Kaseb, R. Kate Kelley, Jeremy Kortmansky, Andrea Leaf, William M. Remak, Davendra P.S. Sohal, Tamar H. Taddei, Andrea Wilson Woods, Mark Yarchoan, and Michal G. Rose. Systemic therapy for advanced hepatocellular carcinoma: asco guideline update. Journal of Clinical Oncology, 42:1830-1850, May 2024. URL: https://doi.org/10.1200/jco.23.02745, doi:10.1200/jco.23.02745. This article has 285 citations and is from a highest quality peer-reviewed journal.

  37. (gordan2024systemictherapyfor pages 14-14): John D. Gordan, Erin B. Kennedy, Ghassan K. Abou-Alfa, Eliza Beal, Richard S. Finn, Terence P. Gade, Laura Goff, Shilpi Gupta, Jennifer Guy, Hang T. Hoang, Renuka Iyer, Ishmael Jaiyesimi, Minaxi Jhawer, Asha Karippot, Ahmed O. Kaseb, R. Kate Kelley, Jeremy Kortmansky, Andrea Leaf, William M. Remak, Davendra P.S. Sohal, Tamar H. Taddei, Andrea Wilson Woods, Mark Yarchoan, and Michal G. Rose. Systemic therapy for advanced hepatocellular carcinoma: asco guideline update. Journal of Clinical Oncology, 42:1830-1850, May 2024. URL: https://doi.org/10.1200/jco.23.02745, doi:10.1200/jco.23.02745. This article has 285 citations and is from a highest quality peer-reviewed journal.

  38. (finn2024efficacyandsafety pages 2-4): Richard S. Finn, Peter R. Galle, Michel Ducreux, Ann-Lii Cheng, Norelle Reilly, Alan Nicholas, Sairy Hernandez, Ning Ma, Philippe Merle, Riad Salem, Daneng Li, and Valeriy Breder. Efficacy and safety of atezolizumab plus bevacizumab versus sorafenib in hepatocellular carcinoma with main trunk and/or contralateral portal vein invasion in imbrave150. Liver Cancer, 13:1-14, Jun 2024. URL: https://doi.org/10.1159/000539897, doi:10.1159/000539897. This article has 50 citations and is from a peer-reviewed journal.

  39. (finn2024efficacyandsafety pages 1-2): Richard S. Finn, Peter R. Galle, Michel Ducreux, Ann-Lii Cheng, Norelle Reilly, Alan Nicholas, Sairy Hernandez, Ning Ma, Philippe Merle, Riad Salem, Daneng Li, and Valeriy Breder. Efficacy and safety of atezolizumab plus bevacizumab versus sorafenib in hepatocellular carcinoma with main trunk and/or contralateral portal vein invasion in imbrave150. Liver Cancer, 13:1-14, Jun 2024. URL: https://doi.org/10.1159/000539897, doi:10.1159/000539897. This article has 50 citations and is from a peer-reviewed journal.

  40. (gao2023efficacyandsafety pages 1-2): Xiaoqiang Gao, Rui Zhao, Huaxing Ma, and Shi Zuo. Efficacy and safety of atezolizumab plus bevacizumab treatment for advanced hepatocellular carcinoma in the real world: a single-arm meta-analysis. BMC Cancer, Jul 2023. URL: https://doi.org/10.1186/s12885-023-11112-w, doi:10.1186/s12885-023-11112-w. This article has 28 citations and is from a peer-reviewed journal.

  41. (cigliano2024preclinicalmodelsof pages 1-2): Antonio Cigliano, Weiting Liao, Giovanni A. Deiana, Davide Rizzo, Xin Chen, and Diego F. Calvisi. Preclinical models of hepatocellular carcinoma: current utility, limitations, and challenges. Biomedicines, 12:1624, Jul 2024. URL: https://doi.org/10.3390/biomedicines12071624, doi:10.3390/biomedicines12071624. This article has 26 citations.

  42. (cigliano2024preclinicalmodelsof pages 17-18): Antonio Cigliano, Weiting Liao, Giovanni A. Deiana, Davide Rizzo, Xin Chen, and Diego F. Calvisi. Preclinical models of hepatocellular carcinoma: current utility, limitations, and challenges. Biomedicines, 12:1624, Jul 2024. URL: https://doi.org/10.3390/biomedicines12071624, doi:10.3390/biomedicines12071624. This article has 26 citations.

  43. (cigliano2024preclinicalmodelsof pages 7-9): Antonio Cigliano, Weiting Liao, Giovanni A. Deiana, Davide Rizzo, Xin Chen, and Diego F. Calvisi. Preclinical models of hepatocellular carcinoma: current utility, limitations, and challenges. Biomedicines, 12:1624, Jul 2024. URL: https://doi.org/10.3390/biomedicines12071624, doi:10.3390/biomedicines12071624. This article has 26 citations.

  44. (cigliano2024preclinicalmodelsof pages 15-17): Antonio Cigliano, Weiting Liao, Giovanni A. Deiana, Davide Rizzo, Xin Chen, and Diego F. Calvisi. Preclinical models of hepatocellular carcinoma: current utility, limitations, and challenges. Biomedicines, 12:1624, Jul 2024. URL: https://doi.org/10.3390/biomedicines12071624, doi:10.3390/biomedicines12071624. This article has 26 citations.

  45. (cigliano2024preclinicalmodelsof pages 20-21): Antonio Cigliano, Weiting Liao, Giovanni A. Deiana, Davide Rizzo, Xin Chen, and Diego F. Calvisi. Preclinical models of hepatocellular carcinoma: current utility, limitations, and challenges. Biomedicines, 12:1624, Jul 2024. URL: https://doi.org/10.3390/biomedicines12071624, doi:10.3390/biomedicines12071624. This article has 26 citations.

  46. (cigliano2024preclinicalmodelsof pages 6-7): Antonio Cigliano, Weiting Liao, Giovanni A. Deiana, Davide Rizzo, Xin Chen, and Diego F. Calvisi. Preclinical models of hepatocellular carcinoma: current utility, limitations, and challenges. Biomedicines, 12:1624, Jul 2024. URL: https://doi.org/10.3390/biomedicines12071624, doi:10.3390/biomedicines12071624. This article has 26 citations.