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0
Mappings
0
Definitions
0
Inheritance
4
Pathophysiology
1
Histopathology
5
Phenotypes
4
Pathograph
3
Genes
5
Treatments
0
Subtypes
0
Differentials
0
Datasets
0
Trials
0
Models
10
References
1
Deep Research
🏷

Classifications

Harrison's Chapter
cancer solid tumor
ICD-O Morphology
Adenocarcinoma

Pathophysiology

4
ERBB2 (HER2) Amplification and Overexpression
ERBB2 gene amplification leads to overexpression of the HER2 receptor tyrosine kinase on the cell surface. Amplified HER2 forms homodimers and heterodimers with other ERBB family members (particularly HER3), leading to ligand-independent receptor activation and downstream signaling.
colon epithelial cell link
ERBB2 signaling pathway link ↑ INCREASED
Show evidence (1 reference)
PMID:41361014 PARTIAL
"Among 5545 patients, 144 (3.1%) had ERBB2 amp+ mCRC."
This abstract quantifies ERBB2-amplified metastatic colorectal cancer, supporting the existence of this molecular subgroup.
MAPK Pathway Activation
HER2 receptor activation leads to recruitment of adaptor proteins (GRB2/SOS) that activate RAS, initiating the MAPK signaling cascade. This drives cell proliferation and survival. The MAPK pathway is a major effector of HER2 oncogenic signaling in colorectal cancer.
MAPK cascade link ↑ INCREASED
PI3K-AKT Pathway Activation
HER2 heterodimerization with HER3 is particularly potent at activating PI3K signaling because HER3 contains multiple PI3K binding sites. This leads to AKT activation, promoting cell survival and resistance to apoptosis. PI3K pathway activation may contribute to resistance to HER2-targeted therapy.
phosphatidylinositol 3-kinase signaling link ↑ INCREASED
Enhanced Cell Proliferation
Combined MAPK and PI3K pathway activation drives enhanced cell proliferation through cyclin D1 induction and cell cycle progression. This leads to uncontrolled tumor growth dependent on HER2 signaling.
cell population proliferation link ↑ INCREASED
colon link

Histopathology

1
Adenocarcinoma VERY_FREQUENT
Adenocarcinoma is the most common pathologic subtype of colon cancer.
Show evidence (1 reference)
PMID:35613396 PARTIAL
"Adenocarcinoma is the most common pathologic subtype of colon cancer"
Abstract reports adenocarcinoma as the most common pathologic subtype of colon cancer.

Pathograph

Use the checkboxes to hide or show graph categories. Hover nodes for evidence and cross-linked metadata.
Pathograph: causal mechanism network for HER2-Positive Colorectal Cancer 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

5
Blood 2
Hematochezia FREQUENT Hematochezia (HP:0002573)
Anemia FREQUENT Anemia (HP:0001903)
Digestive 1
Colon Cancer VERY_FREQUENT Colon cancer (HP:0003003)
Constitutional 1
Abdominal Pain FREQUENT Abdominal pain (HP:0002027)
Growth 1
Weight Loss OCCASIONAL Weight loss (HP:0001824)
🧬

Genetic Associations

3
ERBB2 (HER2) (Somatic Amplification)
ERBB2 Activating Mutations (Somatic Activating Mutation)
RAS/BRAF Wild-Type (Enrichment Context)
💊

Treatments

5
Trastuzumab plus Lapatinib
Action: immunotherapy Ontology label: Immunotherapy NCIT:C15262
Agent: trastuzumab
Dual HER2 blockade with trastuzumab (anti-HER2 antibody) and lapatinib (HER1/HER2 TKI). HERACLES trial demonstrated 30% objective response rate in chemotherapy-refractory, HER2-positive, RAS wild-type metastatic CRC.
Trastuzumab plus Pertuzumab
Action: immunotherapy Ontology label: Immunotherapy NCIT:C15262
Agent: trastuzumab
Dual HER2 antibody blockade with trastuzumab and pertuzumab, which block different HER2 epitopes and prevent HER2/HER3 heterodimerization. MyPathway basket trial showed activity in HER2-amplified CRC.
Trastuzumab Deruxtecan (T-DXd)
Action: immunotherapy Ontology label: Immunotherapy NCIT:C15262
Agent: trastuzumab deruxtecan
Antibody-drug conjugate consisting of anti-HER2 antibody linked to topoisomerase I inhibitor payload. DESTINY-CRC01 showed promising activity in HER2-positive metastatic CRC with strong IHC 3+ expression.
Tucatinib plus Trastuzumab
Action: immunotherapy Ontology label: Immunotherapy NCIT:C15262
Agent: trastuzumab
Combination of HER2-selective TKI tucatinib with trastuzumab. MOUNTAINEER trial demonstrated significant activity in HER2-positive metastatic CRC, leading to FDA accelerated approval.
Surgical Resection
Action: surgical procedure MAXO:0000004
Surgery for localized disease or selected metastatic cases. HER2 status does not change standard surgical approaches but informs systemic therapy decisions.
🔬

Biochemical Markers

3
HER2 Immunohistochemistry
HER2 FISH/ISH
Next-Generation Sequencing
{ }

Source YAML

click to show
name: HER2-Positive Colorectal Cancer
creation_date: '2026-01-26T02:55:13Z'
updated_date: '2026-04-22T20:13:21Z'
description: >-
  HER2-positive colorectal cancer is a molecularly defined subtype characterized by
  ERBB2
  (HER2) amplification or overexpression, occurring in approximately 3-5% of metastatic
  colorectal cancers. HER2 amplification is enriched in RAS/BRAF wild-type tumors
  and
  represents an emerging actionable target. Unlike breast and gastric cancer, HER2-positive
  CRC responds modestly to single-agent HER2-targeted therapy, but combination approaches
  with HER2-directed agents and anti-EGFR therapy or dual HER2 blockade have shown
  promising
  activity. HER2 amplification may also be a mechanism of acquired resistance to anti-EGFR
  therapy.
categories:
- Gastrointestinal Cancer
- Colorectal Cancer
- Molecularly Defined Cancer
parents:
- colorectal adenocarcinoma
pathophysiology:
- name: ERBB2 (HER2) Amplification and Overexpression
  description: >-
    ERBB2 gene amplification leads to overexpression of the HER2 receptor tyrosine
    kinase
    on the cell surface. Amplified HER2 forms homodimers and heterodimers with other
    ERBB
    family members (particularly HER3), leading to ligand-independent receptor activation
    and downstream signaling.
  evidence:
  - reference: PMID:41361014
    reference_title: "Survival outcomes of ERBB2-amplified metastatic colorectal cancer treated with first-line chemotherapy."
    supports: PARTIAL
    snippet: Among 5545 patients, 144 (3.1%) had ERBB2 amp+ mCRC.
    explanation: This abstract quantifies ERBB2-amplified metastatic colorectal cancer, supporting the existence of this molecular subgroup.
  cell_types:
  - preferred_term: colon epithelial cell
    term:
      id: CL:0011108
      label: colon epithelial cell
  biological_processes:
  - preferred_term: ERBB2 signaling pathway
    modifier: INCREASED
    term:
      id: GO:0038128
      label: ERBB2 signaling pathway
  downstream:
  - target: MAPK Pathway Activation
    description: HER2 signaling activates RAS-RAF-MEK-ERK cascade
  - target: PI3K-AKT Pathway Activation
    description: HER2 signaling activates PI3K-AKT-mTOR cascade through HER3
- name: MAPK Pathway Activation
  description: >-
    HER2 receptor activation leads to recruitment of adaptor proteins (GRB2/SOS) that
    activate RAS, initiating the MAPK signaling cascade. This drives cell proliferation
    and survival. The MAPK pathway is a major effector of HER2 oncogenic signaling
    in
    colorectal cancer.
  biological_processes:
  - preferred_term: MAPK cascade
    modifier: INCREASED
    term:
      id: GO:0000165
      label: MAPK cascade
  downstream:
  - target: Enhanced Cell Proliferation
    description: MAPK signaling drives cell cycle progression
- name: PI3K-AKT Pathway Activation
  description: >-
    HER2 heterodimerization with HER3 is particularly potent at activating PI3K signaling
    because HER3 contains multiple PI3K binding sites. This leads to AKT activation,
    promoting cell survival and resistance to apoptosis. PI3K pathway activation may
    contribute to resistance to HER2-targeted therapy.
  biological_processes:
  - preferred_term: phosphatidylinositol 3-kinase signaling
    modifier: INCREASED
    term:
      id: GO:0043491
      label: phosphatidylinositol 3-kinase/protein kinase B signal transduction
- name: Enhanced Cell Proliferation
  description: >-
    Combined MAPK and PI3K pathway activation drives enhanced cell proliferation through
    cyclin D1 induction and cell cycle progression. This leads to uncontrolled tumor
    growth dependent on HER2 signaling.
  locations:
  - preferred_term: colon
    term:
      id: UBERON:0001155
      label: colon
  biological_processes:
  - preferred_term: cell population proliferation
    modifier: INCREASED
    term:
      id: GO:0008283
      label: cell population proliferation
histopathology:
- name: Adenocarcinoma
  finding_term:
    preferred_term: Adenocarcinoma
    term:
      id: NCIT:C2852
      label: Adenocarcinoma
  frequency: VERY_FREQUENT
  description: Adenocarcinoma is the most common pathologic subtype of colon cancer.
  evidence:
  - reference: PMID:35613396
    reference_title: "[Adenosquamous carcinoma of the colon: a case report and review of the literature]."
    supports: PARTIAL
    snippet: "Adenocarcinoma is the most common pathologic subtype of colon cancer"
    explanation: Abstract reports adenocarcinoma as the most common pathologic subtype of colon cancer.

phenotypes:
- category: Gastrointestinal
  name: Colon Cancer
  frequency: VERY_FREQUENT
  diagnostic: true
  description: >-
    HER2-positive colorectal cancer presents as a primary colonic or rectal malignancy.
    Left-sided (distal) tumors may be enriched in HER2-amplified cases.
  phenotype_term:
    preferred_term: Colon cancer
    term:
      id: HP:0003003
      label: Colon cancer
- category: Gastrointestinal
  name: Abdominal Pain
  frequency: FREQUENT
  description: >-
    Abdominal discomfort from tumor mass effect or bowel obstruction.
  phenotype_term:
    preferred_term: Abdominal pain
    term:
      id: HP:0002027
      label: Abdominal pain
- category: Gastrointestinal
  name: Hematochezia
  frequency: FREQUENT
  description: >-
    Rectal bleeding from tumor ulceration, particularly with left-sided tumors.
  phenotype_term:
    preferred_term: Hematochezia
    term:
      id: HP:0002573
      label: Hematochezia
- category: Hematologic
  name: Anemia
  frequency: FREQUENT
  description: >-
    Iron deficiency anemia from chronic blood loss.
  phenotype_term:
    preferred_term: Anemia
    term:
      id: HP:0001903
      label: Anemia
- category: Constitutional
  name: Weight Loss
  frequency: OCCASIONAL
  description: >-
    Unintentional weight loss with advanced disease.
  phenotype_term:
    preferred_term: Weight loss
    term:
      id: HP:0001824
      label: Weight loss
biochemical:
- name: HER2 Immunohistochemistry
  notes: >-
    IHC scoring uses the same criteria as gastric cancer (modified from breast cancer):
    0/1+ negative, 2+ equivocal requiring FISH confirmation, 3+ positive. Colorectal-specific
    scoring criteria have been proposed (HERACLES criteria) with stricter requirements.
- name: HER2 FISH/ISH
  notes: >-
    Fluorescence in situ hybridization or other in situ hybridization methods detect
    ERBB2
    gene amplification. HER2/CEP17 ratio greater than 2.0 or HER2 copy number greater
    than 6
    indicates amplification. Required for IHC 2+ cases.
- name: Next-Generation Sequencing
  notes: >-
    NGS can detect ERBB2 amplification through copy number analysis and may identify
    activating ERBB2 mutations as alternative mechanisms of HER2 pathway activation.
genetic:
- name: ERBB2 (HER2)
  association: Somatic Amplification
  notes: >-
    ERBB2 amplification occurs in 3-5% of metastatic CRC, enriched in RAS/BRAF wild-type
    tumors where it may represent 5-14%. Amplification is the primary mechanism, though
    activating mutations also occur rarely. Copy number correlates with response to
    HER2-targeted therapy.
- name: ERBB2 Activating Mutations
  association: Somatic Activating Mutation
  notes: >-
    Activating mutations in ERBB2 (e.g., S310F, L755S, V777L) occur in approximately
    2%
    of CRC and may respond to HER2-targeted therapies. These are distinct from amplification
    and can co-occur with RAS mutations.
- name: RAS/BRAF Wild-Type
  association: Enrichment Context
  notes: >-
    HER2 amplification is strongly associated with RAS wild-type status and is typically
    mutually exclusive with BRAF V600E. This makes HER2-positive CRC a distinct molecular
    subgroup within RAS/BRAF wild-type tumors.
treatments:
- name: Trastuzumab plus Lapatinib
  description: >-
    Dual HER2 blockade with trastuzumab (anti-HER2 antibody) and lapatinib (HER1/HER2
    TKI).
    HERACLES trial demonstrated 30% objective response rate in chemotherapy-refractory,
    HER2-positive, RAS wild-type metastatic CRC.
  treatment_term:
    preferred_term: immunotherapy
    term:
      id: NCIT:C15262
      label: Immunotherapy
    therapeutic_agent:
    - preferred_term: trastuzumab
      term:
        id: CHEBI:231601
        label: trastuzumab
- name: Trastuzumab plus Pertuzumab
  description: >-
    Dual HER2 antibody blockade with trastuzumab and pertuzumab, which block different
    HER2 epitopes and prevent HER2/HER3 heterodimerization. MyPathway basket trial
    showed
    activity in HER2-amplified CRC.
  treatment_term:
    preferred_term: immunotherapy
    term:
      id: NCIT:C15262
      label: Immunotherapy
    therapeutic_agent:
    - preferred_term: trastuzumab
      term:
        id: CHEBI:231601
        label: trastuzumab
- name: Trastuzumab Deruxtecan (T-DXd)
  description: >-
    Antibody-drug conjugate consisting of anti-HER2 antibody linked to topoisomerase
    I
    inhibitor payload. DESTINY-CRC01 showed promising activity in HER2-positive metastatic
    CRC with strong IHC 3+ expression.
  treatment_term:
    preferred_term: immunotherapy
    term:
      id: NCIT:C15262
      label: Immunotherapy
    therapeutic_agent:
    - preferred_term: trastuzumab deruxtecan
      term:
        id: NCIT:C128799
        label: Trastuzumab Deruxtecan
- name: Tucatinib plus Trastuzumab
  description: >-
    Combination of HER2-selective TKI tucatinib with trastuzumab. MOUNTAINEER trial
    demonstrated significant activity in HER2-positive metastatic CRC, leading to
    FDA
    accelerated approval.
  treatment_term:
    preferred_term: immunotherapy
    term:
      id: NCIT:C15262
      label: Immunotherapy
    therapeutic_agent:
    - preferred_term: trastuzumab
      term:
        id: CHEBI:231601
        label: trastuzumab
- name: Surgical Resection
  description: >-
    Surgery for localized disease or selected metastatic cases. HER2 status does not
    change standard surgical approaches but informs systemic therapy decisions.
  treatment_term:
    preferred_term: surgical procedure
    term:
      id: MAXO:0000004
      label: surgical procedure
disease_term:
  preferred_term: HER2-positive colorectal cancer
  term:
    id: MONDO:0005575
    label: colorectal cancer

classifications:
  icdo_morphology:
    classification_value: Adenocarcinoma
  harrisons_chapter:
  - classification_value: cancer
  - classification_value: solid tumor
references:
- reference: DOI:10.1007/s00432-022-04230-8
  title: 'HER2 overexpression/amplification status in colorectal cancer: a comparison between immunohistochemistry and fluorescence in situ hybridization using five different immunohistochemical scoring criteria'
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: 'HER2 overexpression/amplification status in colorectal cancer: a comparison between immunohistochemistry and fluorescence in situ hybridization using five different immunohistochemical scoring criteria'
    supporting_text: Although HER2 has gradually become an important therapeutic target for colorectal cancer (CRC), a unified and standard HER2 scoring system was still not established in CRC, and the debatable results of immunohistochemistry and fluorescence in situ hybridization (FISH) in CRC requires further exploration.
    evidence:
    - reference: DOI:10.1007/s00432-022-04230-8
      reference_title: 'HER2 overexpression/amplification status in colorectal cancer: a comparison between immunohistochemistry and fluorescence in situ hybridization using five different immunohistochemical scoring criteria'
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Although HER2 has gradually become an important therapeutic target for colorectal cancer (CRC), a unified and standard HER2 scoring system was still not established in CRC, and the debatable results of immunohistochemistry and fluorescence in situ hybridization (FISH) in CRC requires further exploration.
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
- reference: DOI:10.1038/s41467-023-38032-4
  title: Final results of DESTINY-CRC01 investigating trastuzumab deruxtecan in patients with HER2-expressing metastatic colorectal cancer
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: Final results of DESTINY-CRC01 investigating trastuzumab deruxtecan in patients with HER2-expressing metastatic colorectal cancer
    supporting_text: DESTINY-CRC01 (NCT03384940) was a multicenter, open-label, phase 2 trial assessing the efficacy and safety of trastuzumab deruxtecan (T-DXd) in patients with HER2-expressing metastatic colorectal cancer (mCRC) that progressed after ≥2 prior regimens; results of the primary analysis are published.
    evidence:
    - reference: DOI:10.1038/s41467-023-38032-4
      reference_title: Final results of DESTINY-CRC01 investigating trastuzumab deruxtecan in patients with HER2-expressing metastatic colorectal cancer
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: DESTINY-CRC01 (NCT03384940) was a multicenter, open-label, phase 2 trial assessing the efficacy and safety of trastuzumab deruxtecan (T-DXd) in patients with HER2-expressing metastatic colorectal cancer (mCRC) that progressed after ≥2 prior regimens; results of the primary analysis are published.
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
- reference: DOI:10.1038/s41467-024-53223-3
  title: 'HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01'
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: 'HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01'
    supporting_text: 'HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01'
- reference: DOI:10.1038/s41598-024-62096-x
  title: RAS/RAF mutations and microsatellite instability status in primary colorectal cancers according to HER2 amplification
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: HER2 amplification-associated molecular alterations and clinicopathologic features in colorectal cancers (CRCs) have not been well established.
    supporting_text: HER2 amplification-associated molecular alterations and clinicopathologic features in colorectal cancers (CRCs) have not been well established.
    evidence:
    - reference: DOI:10.1038/s41598-024-62096-x
      reference_title: RAS/RAF mutations and microsatellite instability status in primary colorectal cancers according to HER2 amplification
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: HER2 amplification-associated molecular alterations and clinicopathologic features in colorectal cancers (CRCs) have not been well established.
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
- reference: DOI:10.1093/jncics/pkad082
  title: Systematic literature review and meta-analysis of HER2 amplification, overexpression, and positivity in colorectal cancer
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: Colorectal cancer (CRC) is the second most common cause of cancer death globally.
    supporting_text: Colorectal cancer (CRC) is the second most common cause of cancer death globally.
    evidence:
    - reference: DOI:10.1093/jncics/pkad082
      reference_title: Systematic literature review and meta-analysis of HER2 amplification, overexpression, and positivity in colorectal cancer
      supports: SUPPORT
      evidence_source: OTHER
      snippet: Colorectal cancer (CRC) is the second most common cause of cancer death globally.
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
- reference: DOI:10.1158/1078-0432.ccr-23-2581
  title: <i>RAS/RAF</i> Comutation and <i>ERBB2</i> Copy Number Modulates HER2 Heterogeneity and Responsiveness to HER2-directed Therapy in Colorectal Cancer
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: 'ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments.'
    supporting_text: 'ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments.'
    evidence:
    - reference: DOI:10.1158/1078-0432.ccr-23-2581
      reference_title: <i>RAS/RAF</i> Comutation and <i>ERBB2</i> Copy Number Modulates HER2 Heterogeneity and Responsiveness to HER2-directed Therapy in Colorectal Cancer
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: 'ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments.'
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
- reference: DOI:10.32604/or.2024.047309
  title: 'Genomic profiling of colorectal cancer in large-scale Chinese patients: amplification and somatic mutations in ERBB2'
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: 'Genomic profiling of colorectal cancer in large-scale Chinese patients: amplification and somatic mutations in ERBB2'
    supporting_text: 'Genomic profiling of colorectal cancer in large-scale Chinese patients: amplification and somatic mutations in ERBB2'
- reference: DOI:10.3390/cancers16162854
  title: Resistance to Anti-HER2 Therapies in Gastrointestinal Malignancies
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: Human epidermal growth factor 2 (HER2) is a tyrosine kinase receptor that interacts with multiple signaling pathways related to cellular growth and proliferation.
    supporting_text: Human epidermal growth factor 2 (HER2) is a tyrosine kinase receptor that interacts with multiple signaling pathways related to cellular growth and proliferation.
    evidence:
    - reference: DOI:10.3390/cancers16162854
      reference_title: Resistance to Anti-HER2 Therapies in Gastrointestinal Malignancies
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: Human epidermal growth factor 2 (HER2) is a tyrosine kinase receptor that interacts with multiple signaling pathways related to cellular growth and proliferation.
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
- reference: DOI:10.3390/cancers16183145
  title: Prognostic and Predictive Roles of HER2 Status in Non-Breast and Non-Gastroesophageal Carcinomas
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: The oncogene ERBB2, also known as HER2 or c-ERB2, is located on chromosome 17 (q12).
    supporting_text: The oncogene ERBB2, also known as HER2 or c-ERB2, is located on chromosome 17 (q12).
    evidence:
    - reference: DOI:10.3390/cancers16183145
      reference_title: Prognostic and Predictive Roles of HER2 Status in Non-Breast and Non-Gastroesophageal Carcinomas
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: The oncogene ERBB2, also known as HER2 or c-ERB2, is located on chromosome 17 (q12).
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
- reference: DOI:10.6004/jnccn.2023.7022
  title: 'Real-World Treatment Patterns in Patients With HER2-Amplified Metastatic Colorectal Cancer: A Clinical-Genomic Database Study'
  found_in:
  - HER2_Positive_Colorectal_Cancer-deep-research-falcon.md
  findings:
  - statement: HER2 amplification (HER2+) occurs in approximately 3% of patients with metastatic colorectal cancer (mCRC).
    supporting_text: HER2 amplification (HER2+) occurs in approximately 3% of patients with metastatic colorectal cancer (mCRC).
    evidence:
    - reference: DOI:10.6004/jnccn.2023.7022
      reference_title: 'Real-World Treatment Patterns in Patients With HER2-Amplified Metastatic Colorectal Cancer: A Clinical-Genomic Database Study'
      supports: SUPPORT
      evidence_source: HUMAN_CLINICAL
      snippet: HER2 amplification (HER2+) occurs in approximately 3% of patients with metastatic colorectal cancer (mCRC).
      explanation: Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
📚

References & Deep Research

References

10
HER2 overexpression/amplification status in colorectal cancer: a comparison between immunohistochemistry and fluorescence in situ hybridization using five different immunohistochemical scoring criteria
1 finding
HER2 overexpression/amplification status in colorectal cancer: a comparison between immunohistochemistry and fluorescence in situ hybridization using five different immunohistochemical scoring criteria
"Although HER2 has gradually become an important therapeutic target for colorectal cancer (CRC), a unified and standard HER2 scoring system was still not established in CRC, and the debatable results of immunohistochemistry and fluorescence in situ hybridization (FISH) in CRC requires further exploration."
Show evidence (1 reference)
DOI:10.1007/s00432-022-04230-8 SUPPORT Human Clinical
"Although HER2 has gradually become an important therapeutic target for colorectal cancer (CRC), a unified and standard HER2 scoring system was still not established in CRC, and the debatable results of immunohistochemistry and fluorescence in situ hybridization (FISH) in CRC requires further exploration."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
Final results of DESTINY-CRC01 investigating trastuzumab deruxtecan in patients with HER2-expressing metastatic colorectal cancer
1 finding
Final results of DESTINY-CRC01 investigating trastuzumab deruxtecan in patients with HER2-expressing metastatic colorectal cancer
"DESTINY-CRC01 (NCT03384940) was a multicenter, open-label, phase 2 trial assessing the efficacy and safety of trastuzumab deruxtecan (T-DXd) in patients with HER2-expressing metastatic colorectal cancer (mCRC) that progressed after ≥2 prior regimens; results of the primary analysis are published."
Show evidence (1 reference)
DOI:10.1038/s41467-023-38032-4 SUPPORT Human Clinical
"DESTINY-CRC01 (NCT03384940) was a multicenter, open-label, phase 2 trial assessing the efficacy and safety of trastuzumab deruxtecan (T-DXd) in patients with HER2-expressing metastatic colorectal cancer (mCRC) that progressed after ≥2 prior regimens; results of the primary analysis are published."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01
1 finding
HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01
"HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01"
RAS/RAF mutations and microsatellite instability status in primary colorectal cancers according to HER2 amplification
1 finding
HER2 amplification-associated molecular alterations and clinicopathologic features in colorectal cancers (CRCs) have not been well established.
"HER2 amplification-associated molecular alterations and clinicopathologic features in colorectal cancers (CRCs) have not been well established."
Show evidence (1 reference)
DOI:10.1038/s41598-024-62096-x SUPPORT Human Clinical
"HER2 amplification-associated molecular alterations and clinicopathologic features in colorectal cancers (CRCs) have not been well established."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
Systematic literature review and meta-analysis of HER2 amplification, overexpression, and positivity in colorectal cancer
1 finding
Colorectal cancer (CRC) is the second most common cause of cancer death globally.
"Colorectal cancer (CRC) is the second most common cause of cancer death globally."
Show evidence (1 reference)
"Colorectal cancer (CRC) is the second most common cause of cancer death globally."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
<i>RAS/RAF</i> Comutation and <i>ERBB2</i> Copy Number Modulates HER2 Heterogeneity and Responsiveness to HER2-directed Therapy in Colorectal Cancer
1 finding
ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments.
"ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments."
Show evidence (1 reference)
DOI:10.1158/1078-0432.ccr-23-2581 SUPPORT Human Clinical
"ERBB2-amplified colorectal cancer is a distinct molecular subtype with expanding treatments."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
Genomic profiling of colorectal cancer in large-scale Chinese patients: amplification and somatic mutations in ERBB2
1 finding
Genomic profiling of colorectal cancer in large-scale Chinese patients: amplification and somatic mutations in ERBB2
"Genomic profiling of colorectal cancer in large-scale Chinese patients: amplification and somatic mutations in ERBB2"
Resistance to Anti-HER2 Therapies in Gastrointestinal Malignancies
1 finding
Human epidermal growth factor 2 (HER2) is a tyrosine kinase receptor that interacts with multiple signaling pathways related to cellular growth and proliferation.
"Human epidermal growth factor 2 (HER2) is a tyrosine kinase receptor that interacts with multiple signaling pathways related to cellular growth and proliferation."
Show evidence (1 reference)
DOI:10.3390/cancers16162854 SUPPORT Human Clinical
"Human epidermal growth factor 2 (HER2) is a tyrosine kinase receptor that interacts with multiple signaling pathways related to cellular growth and proliferation."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
Prognostic and Predictive Roles of HER2 Status in Non-Breast and Non-Gastroesophageal Carcinomas
1 finding
The oncogene ERBB2, also known as HER2 or c-ERB2, is located on chromosome 17 (q12).
"The oncogene ERBB2, also known as HER2 or c-ERB2, is located on chromosome 17 (q12)."
Show evidence (1 reference)
DOI:10.3390/cancers16183145 SUPPORT Human Clinical
"The oncogene ERBB2, also known as HER2 or c-ERB2, is located on chromosome 17 (q12)."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.
Real-World Treatment Patterns in Patients With HER2-Amplified Metastatic Colorectal Cancer: A Clinical-Genomic Database Study
1 finding
HER2 amplification (HER2+) occurs in approximately 3% of patients with metastatic colorectal cancer (mCRC).
"HER2 amplification (HER2+) occurs in approximately 3% of patients with metastatic colorectal cancer (mCRC)."
Show evidence (1 reference)
DOI:10.6004/jnccn.2023.7022 SUPPORT Human Clinical
"HER2 amplification (HER2+) occurs in approximately 3% of patients with metastatic colorectal cancer (mCRC)."
Deep research cited this publication as relevant literature for HER2 Positive Colorectal Cancer.

Deep Research

1
Falcon
Disease Characteristics Research Template
Edison Scientific Literature 37 citations 2026-04-05T16:00:14.028317

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: HER2-Positive Colorectal Cancer
  • MONDO ID: (if available)
  • Category:

Research Objectives

Please provide a comprehensive research report on HER2-Positive Colorectal Cancer 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

HER2-Positive Colorectal Cancer (CRC): Comprehensive Disease Characteristics Report (2023–2024 prioritized)

Target disease

  • Disease name: HER2-Positive Colorectal Cancer (CRC)
  • Category: Molecularly defined subtype of colorectal adenocarcinoma (often discussed in metastatic CRC precision oncology)
  • MONDO / OMIM / Orphanet / MeSH / ICD-10/11 identifiers: Not retrieved from the available evidence in this tool run; the subtype is most consistently represented in the literature as “HER2-positive CRC”, “ERBB2-amplified CRC”, or “HER2-amplified metastatic CRC” rather than as a standalone ontology disease entity. (singh2024systematicliteraturereview pages 1-2, sun2023her2overexpressionamplificationstatus pages 2-4)

1. Disease information

1.1 Concise overview

HER2-positive colorectal cancer refers to CRCs with ERBB2 (HER2) amplification and/or HER2 protein overexpression that may act as an oncogenic driver and therapeutic target. In CRC, HER2 positivity is clinically used to select patients for HER2-directed therapy, particularly in metastatic CRC (mCRC) and often in the context of RAS wild-type disease. (singh2024systematicliteraturereview pages 1-2, singh2024rasrafcomutationand pages 2-4)

1.2 Common synonyms / alternative names

  • ERBB2-amplified CRC (genomic definition) (singh2024rasrafcomutationand pages 2-4)
  • HER2-amplified metastatic colorectal cancer (real-world genomic testing cohorts) (strickler2023realworldtreatmentpatterns pages 1-2)
  • HER2-expressing metastatic colorectal cancer (trial language including IHC/ISH stratification) (yoshino2023finalresultsof pages 1-2)

1.3 Evidence source type

Information summarized here is primarily from: - Aggregated disease-level resources (systematic review/meta-analysis) (singh2024systematicliteraturereview pages 1-2, singh2024systematicliteraturereview pages 4-7) - Human clinical trials and cohorts (DESTINY-CRC01; large molecular cohorts; real-world clinico-genomic database) (yoshino2023finalresultsof pages 1-2, lee2024rasrafmutationsand pages 1-2, strickler2023realworldtreatmentpatterns pages 1-2) - Preclinical models (isogenic cell lines and murine xenografts exploring co-mutations and drug sensitivity) (singh2024rasrafcomutationand pages 2-4, singh2024rasrafcomutationand pages 14-16)


2. Etiology

2.1 Disease causal factors (mechanistic / genetic)

  • The defining molecular feature is ERBB2/HER2 amplification (and/or HER2 overexpression by IHC), which identifies a distinct molecular subgroup of CRC. (singh2024rasrafcomutationand pages 2-4)
  • ERBB2 amplification can co-occur with other oncogenic alterations; importantly, ~20% of ERBB2-amplified CRCs may harbor co-occurring oncogenic RAS/RAF alterations, which changes HER2 clonality/heterogeneity and therapeutic responsiveness. (singh2024rasrafcomutationand pages 2-4)

2.2 Risk factors / protective factors

Subtype-specific lifestyle/environmental risk factors (beyond general CRC risk factors) were not identified in the retrieved evidence.

2.3 Gene–environment interactions

No HER2-subtype-specific gene–environment interaction evidence was identified in the retrieved sources.


3. Phenotypes (clinical presentation)

3.1 Clinical phenotype (subtype-specific vs general CRC)

The retrieved evidence primarily characterizes HER2-positive CRC by molecular profile, anatomic enrichment, and treatment response, rather than distinct presenting symptoms.

Subtype-associated patterns supported by evidence: - Primary site enrichment: HER2 amplification is enriched in left-sided colon and rectum (e.g., ~95% of HER2-amplified cases in left colon/rectum in a 992-patient primary CRC cohort). (lee2024rasrafmutationsand pages 1-2) - Microsatellite status: HER2-amplified CRCs are predominantly microsatellite-stable (MSS) (e.g., 41/41 HER2-amplified cases MSS in a 992-patient cohort). (lee2024rasrafmutationsand pages 1-2, lee2024rasrafmutationsand pages 5-6)

General CRC phenotypes (not subtype-specific in retrieved sources): bleeding, anemia, bowel habit change, abdominal pain, obstruction, weight loss, fatigue.

3.2 Suggested HPO terms (general CRC; subtype-specific symptoms not evidenced here)

  • Rectal bleeding: HP:0002093 (suggested)
  • Abdominal pain: HP:0002027 (suggested)
  • Diarrhea: HP:0002014 (suggested)
  • Constipation: HP:0002019 (suggested)
  • Iron deficiency anemia: HP:0001891 (suggested)
  • Weight loss: HP:0001824 (suggested)

(These HPO terms are offered as knowledge-base placeholders; the retrieved HER2+ CRC sources did not quantify symptom frequencies.)


4. Genetic / molecular information

4.1 Core causal/driver gene(s)

  • ERBB2 (HER2) amplification and/or overexpression defines the subtype. (singh2024systematicliteraturereview pages 1-2, singh2024rasrafcomutationand pages 2-4)

4.2 Testing definitions of HER2 positivity in CRC (current operational criteria)

Trial operational definition (DESTINY-CRC01): - HER2-positive mCRC defined as IHC 3+ or IHC 2+/ISH+ (cohort A). (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 3-4)

CRC-specific HERACLES diagnostic criteria (IHC/FISH): - HERACLES positivity includes: 1) IHC 3+ in ≥50% CRC cells; 2) IHC 3+ in 10–50% plus FISH HER2/CEP17 ≥2.0 in ≥50% cells; 3) >50% IHC 2+ plus FISH HER2/CEP17 ≥2.0. (sun2023her2overexpressionamplificationstatus pages 2-4)

Common FISH positivity thresholds used in CRC scoring studies: - HER2/CEP17 ratio ≥2.0 or average HER2 copy number ≥6.0. (sun2023her2overexpressionamplificationstatus pages 1-2, sun2023her2overexpressionamplificationstatus pages 4-6)

Meta-analysis definition of HER2+ CRC (integrating IHC/ISH/NGS): - HER2+ defined as (1) IHC 3+, (2) IHC 2+ and ISH+, or (3) NGS positive. (singh2024systematicliteraturereview pages 1-2)

4.3 Prevalence and enrichment (recent data)

A 2024 systematic review/meta-analysis restricted to FDA-approved assays estimated: - Overall HER2+ rate: 4.1% (95% CI 3.4–5.0; n=17,589). (singh2024systematicliteraturereview pages 1-2) - RAS WT enrichment: 6.1% (95% CI 5.4–6.9) in RAS WT vs 1.1% in RAS-mutant CRC (P<0.0001). (singh2024systematicliteraturereview pages 1-2) - Sidedness enrichment: pooled 5.8% in left-sided vs 2.7% in right-sided CRC. (singh2024systematicliteraturereview pages 4-7) - MSS enrichment: MSS comprised ~98.8–100% of HER2+ cases in small included studies; MSI-H showed low HER2 rates. (singh2024systematicliteraturereview pages 7-8)

Large cohort confirmation (primary CRC): - HER2 amplification prevalence: 4.1% (41/992); distribution: right 1.0%, left 5.1%, rectum 4.8%, and all 41 amplified were MSS. (lee2024rasrafmutationsand pages 1-2)

4.4 Co-alterations / molecular landscape

HER2-amplified primary CRC cohort (n=41 HER2-amplified of 992): - KRAS activating mutations: 24.4% (10/41); TP53 alterations: 82.9% (34/41); APC: 51.2% (21/41); PIK3CA: 17.1% (7/41); NRAS/BRAF: 0% in amplified cases. (lee2024rasrafmutationsand pages 2-3)

Large Chinese sequencing cohort (n=2454): - ERBB2 amplification: 3.46% (85/2454); ERBB2 mutations: 2.24% (55/2454). (liu2024genomicprofilingof pages 1-2) - MSI-H relationship differs by alteration type: 32.7% of ERBB2-mutant CRCs were MSI-H, while no ERBB2-amplified cases were MSI-H. (liu2024genomicprofilingof pages 1-2) - Co-alteration pattern differs: ERBB2 SNV cases had higher KRAS/PIK3CA co-alterations (KRAS 45.8%, PIK3CA 31.2%) than ERBB2 amplification cases (KRAS 14.1%, PIK3CA 7.7%); TP53 co-occurred more with amplification (92.3%) than mutation (58.3%). (liu2024genomicprofilingof pages 1-2)

RAS/RAF co-alteration as a resistance-relevant subtype: - In ERBB2-amplified CRC, ~20% harbor oncogenic RAS/RAF co-alterations, associated with lower-level ERBB2 amplification, increased intratumoral heterogeneity, and interlesional discordance, with implications for reduced response to trastuzumab-based combinations. (singh2024rasrafcomutationand pages 2-4)


5. Environmental information

No HER2-subtype-specific environmental exposures, infectious triggers, or protective factors were identified in the retrieved sources.


6. Mechanism / pathophysiology

6.1 Upstream-to-downstream causal chain (current understanding)

1) ERBB2 amplification increases HER2 receptor abundance and signaling competence (driver event defining the subtype). (singh2024rasrafcomutationand pages 2-4) 2) HER2 signaling can activate downstream proliferative pathways (e.g., MAPK/PI3K signaling); in CRC this is clinically relevant because HER2 amplification is linked to resistance to EGFR-directed therapy even in RAS WT tumors. (singh2024rasrafcomutationand pages 2-4) 3) Therapeutic blockade using HER2-directed antibodies, TKIs, and ADCs can produce objective responses in biomarker-defined HER2-positive mCRC. (yoshino2023finalresultsof pages 1-2, mo2024resistancetoantiher2 pages 5-6)

6.2 Resistance mechanisms and heterogeneity (recent evidence)

A key 2024 analysis proposes that RAS/RAF co-alterations define a distinct ERBB2-amplified CRC subgroup characterized by: - Lower ERBB2 copy number, more intratumoral heterogeneity, and interlesional discordance, and - Resistance to trastuzumab-based combinations (e.g., trastuzumab/tucatinib), while retaining sensitivity to trastuzumab deruxtecan in preclinical and some clinical contexts. (singh2024rasrafcomutationand pages 14-16, singh2024rasrafcomutationand pages 2-4)

6.3 Suggested ontology terms

GO Biological Process (suggested): - ERBB2 signaling: “ERBB2 signaling pathway” (GO term exists; exact ID not retrieved here) - Receptor tyrosine kinase signaling: “transmembrane receptor protein tyrosine kinase signaling pathway”

Cell types (CL; suggested): - Colonic epithelial cell / colorectal adenocarcinoma cell (CL IDs not retrieved in the evidence run)


7. Anatomical structures affected

7.1 Organ/tissue localization

HER2 amplification is enriched in left colon and rectum (primary tumor localization), suggesting preferential anatomic distribution within the large intestine. (lee2024rasrafmutationsand pages 1-2, singh2024systematicliteraturereview pages 4-7)

Suggested UBERON terms (placeholders): - Colon: UBERON:0001155 - Rectum: UBERON:0001052


8. Temporal development

8.1 Onset and course

HER2 positivity describes a molecular subtype rather than a unique age-of-onset category. The key time-course information in retrieved sources concerns advanced/metastatic disease and response in later treatment lines.

8.2 Disease staging

HER2-directed therapy evidence is largely in previously treated metastatic CRC, including trials after ≥2 prior regimens. (yoshino2023finalresultsof pages 1-2)


9. Inheritance and population

9.1 Epidemiology (subtype frequency)

Best supported contemporary estimate (FDA-assay restricted meta-analysis): - HER2+ CRC prevalence ~4.1% overall, enriched to ~6.1% in RAS WT CRC. (singh2024systematicliteraturereview pages 1-2)

9.2 Inheritance

HER2-positive CRC is predominantly driven by somatic alterations (amplification and/or somatic mutation); germline inheritance patterns are not a defining feature in the retrieved sources.


10. Diagnostics

10.1 Tissue-based HER2 assessment

Practical workflow reflected in evidence: - IHC as screening; IHC 2+ is equivocal and generally requires reflex ISH/FISH confirmation; FISH positivity can be defined by HER2/CEP17 ≥2.0 and/or copy number thresholds (e.g., ≥6). (sun2023her2overexpressionamplificationstatus pages 4-6, quaquarini2024prognosticandpredictive pages 4-5)

Scoring system variability and harmonization challenge: - A CRC cohort study compared multiple IHC criteria and concluded that the IRS-p approach may be more sensitive/specific versus other systems when benchmarked to FISH; discordance can occur due to heterogeneity and chromosome 17 copy-number changes. (sun2023her2overexpressionamplificationstatus pages 1-2, sun2023her2overexpressionamplificationstatus pages 10-12)

10.2 Genomic testing

NGS may define ERBB2 copy-number amplification and co-alterations relevant for predicting response/resistance (e.g., RAS/RAF co-alterations; ERBB2 SNV vs amplification differences; PRESSING-HER2 concept referenced in evidence base). (singh2024rasrafcomutationand pages 2-4, liu2024genomicprofilingof pages 1-2)

10.3 Liquid biopsy and real-world testing

A large real-world dataset used blood-based Guardant360 to identify ERBB2 amplification in mCRC and link results to treatment claims and outcomes, demonstrating real-world implementation of ctDNA-guided subtype identification. (strickler2023realworldtreatmentpatterns pages 1-2)


11. Outcome / prognosis

11.1 Prognosis and predictive implications

  • HER2 amplification is clinically important partly because it is linked to reduced efficacy of anti-EGFR therapies in RAS WT mCRC, making it a negative predictive biomarker for EGFR-directed regimens. (singh2024rasrafcomutationand pages 2-4, mo2024resistancetoantiher2 pages 5-6)

11.2 Survival outcomes under HER2-directed therapy (refractory mCRC)

In HER2-positive cohort A of DESTINY-CRC01 (IHC3+ or IHC2+/ISH+), median outcomes were: - PFS 6.9 months, OS 15.5 months, with objective responses confined to HER2-positive (cohort A). (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 4-6)

A survival curve and cohort response table are shown in the DESTINY-CRC01 figure/table crops retrieved (PFS/OS curves and response table). (yoshino2023finalresultsof media ab04ee1c, yoshino2023finalresultsof media 2afcc8a6)


12. Treatment

12.1 Approved/implemented HER2-directed strategies (late-line mCRC)

A. Tucatinib + trastuzumab (HER2+ mCRC; trial-defined) - Clinical efficacy benchmarks frequently cited in 2024–2025 literature include ORR ~38% and median PFS ~8 months for trastuzumab+tucatinib, with median OS ~24 months (from trial reporting summarized in recent sources). (mo2024resistancetoantiher2 pages 5-6, singh2024rasrafcomutationand pages 2-4)

ClinicalTrials.gov implementation metadata (MOUNTAINEER; NCT03043313): - Phase 2, open-label; status COMPLETED; enrollment 117; primary endpoint confirmed ORR by BICR RECIST 1.1; secondary endpoints include DoR/PFS/OS and safety. Dates: start 2017-06-23, primary completion 2022-03-28, study completion 2023-11-02; results first posted 2023-04-18; last update posted 2024-11-26. URL: https://clinicaltrials.gov/study/NCT03043313 (NCT03043313 chunk 1)

B. Trastuzumab deruxtecan (T-DXd; ADC) (DESTINY-CRC01, NCT03384940) - DESTINY-CRC01 (Nature Communications, publication date June 2023, URL https://doi.org/10.1038/s41467-023-38032-4) enrolled 86 patients into IHC/ISH-defined cohorts and showed responses confined to the HER2-positive cohort. (yoshino2023finalresultsof pages 1-2)

Key outcomes (DESTINY-CRC01): - Cohort A definition: IHC 3+ or IHC 2+/ISH+ (n=53). (yoshino2023finalresultsof pages 1-2) - ORR 45.3% (24/53; 95% CI 31.6–59.6). (yoshino2023finalresultsof pages 3-4) - Median PFS 6.9 months; median OS 15.5 months; median DoR 7.0 months. (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 4-6) - No responses in HER2-low cohorts (IHC2+/ISH− or IHC1+). (yoshino2023finalresultsof pages 1-2)

Safety (DESTINY-CRC01): - Adjudicated drug-related ILD/pneumonitis: 9.3% (8/86) including 3 grade 5 (3.5%); median time to onset reported as 66.5 days (range 7–165). (yoshino2023finalresultsof pages 3-4) - Grade ≥3 TEAEs: 65.1% overall; drug-related grade ≥3 TEAEs 48.8%. (yoshino2023finalresultsof pages 4-6, yoshino2023finalresultsof pages 8-9)

The ILD/pneumonitis adjudication table crop and key efficacy table/curves were retrieved as images (Table/figure crops). (yoshino2023finalresultsof media ab04ee1c, yoshino2023finalresultsof media 821b3066)

C. Trastuzumab deruxtecan dose-finding in CRC (DESTINY-CRC02; NCT04744831) ClinicalTrials.gov metadata (URL: https://clinicaltrials.gov/study/NCT04744831): - Phase 2; multicenter randomized; two dose arms 5.4 mg/kg vs 6.4 mg/kg Q3W; population IHC3+ or IHC2+/ISH+ advanced/metastatic CRC; enrollment 122; primary endpoint ORR by BICR; secondary endpoints include PFS/OS and safety. Dates: start 2021-03-05, primary completion 2022-11-01, study completion 2024-12-04; results first posted 2024-01-02. (NCT04744831 chunk 1)

12.2 Real-world implementation (United States)

A GuardantINFORM (Guardant360 + claims) study (JNCCN, Aug 2023, URL https://doi.org/10.6004/jnccn.2023.7022) evaluated 142 patients with ERBB2-amplified mCRC and showed: - Regimens after HER2 confirmation were heterogeneous; most common were anti-VEGF±chemo (31.0%) and HER2-directed therapy+chemo (28.9%). (strickler2023realworldtreatmentpatterns pages 3-4) - Adoption increased over time: HER2-directed therapy used in 22.8% pre-2018 vs 36.5% post-2018, but many patients still did not receive HER2-directed therapy. (strickler2023realworldtreatmentpatterns pages 4-6, strickler2023realworldtreatmentpatterns pages 1-2) - Median real-world time to next treatment (rwTTNT): 8.4 months overall, 11.0 months for HER2-directed therapy vs 7.2 months for non–HER2-directed therapies (descriptive). (strickler2023realworldtreatmentpatterns pages 1-2)

12.3 MAXO treatment ontology terms (suggested)

  • Anti-HER2 targeted therapy (monoclonal antibody): MAXO:antibody therapy (suggested)
  • Tyrosine kinase inhibitor therapy: MAXO:small molecule therapy (suggested)
  • Antibody–drug conjugate therapy: MAXO:antibody-drug conjugate therapy (suggested)

13. Prevention

No HER2-subtype-specific prevention strategies were identified. Prevention and screening remain those for CRC broadly (e.g., population CRC screening), but this was not addressed in the retrieved HER2+ subtype sources.


14. Other species / natural disease

No evidence retrieved.


15. Model organisms / preclinical models

A 2024 study integrating clinical cohorts with experimental systems used: - Isogenic CRC cell lines and murine xenograft models to show that RAS/RAF co-alterations in ERBB2-amplified CRC are associated with resistance to trastuzumab-based combinations (e.g., trastuzumab/tucatinib) but retained sensitivity to trastuzumab deruxtecan, and to link these effects to copy-number level and heterogeneity. (singh2024rasrafcomutationand pages 14-16, singh2024rasrafcomutationand pages 2-4)


Key quantitative findings (curation-ready)

The following table consolidates prevalence/enrichment, co-mutations, trial outcomes, and real-world adoption:

Domain Finding Quantitative detail Notes/definition Citations
Prevalence Overall HER2-positive CRC 4.1% (95% CI 3.4–5.0) Meta-analysis definition: IHC 3+ or IHC 2+/ISH+ or NGS+ (singh2024systematicliteraturereview pages 1-2, singh2024systematicliteraturereview pages 4-7)
Prevalence HER2-positive in RAS wild-type CRC 6.1% (95% CI 5.4–6.9) Higher than RAS-mutant CRC (singh2024systematicliteraturereview pages 1-2, singh2024systematicliteraturereview pages 4-7)
Prevalence HER2-positive in RAS-mutant CRC 1.1% (95% CI 0.3–4.4) Significantly lower than RAS WT (singh2024systematicliteraturereview pages 1-2, singh2024systematicliteraturereview pages 4-7)
Enrichment Left-sided vs right-sided CRC 5.8% vs 2.7% Left-sided enrichment in pooled analysis (singh2024systematicliteraturereview pages 4-7)
Enrichment Rectal-only HER2-positive estimate 4.7% (95% CI 2.8–8.0) Rectal primaries also enriched (singh2024systematicliteraturereview pages 7-8, singh2024systematicliteraturereview pages 4-7)
Enrichment MSS vs MSI-H MSS: 98.8%–100% of HER2+ cases in small studies; MSI-H: 0%–1.2% Strong enrichment in microsatellite-stable tumors (singh2024systematicliteraturereview pages 7-8)
Cohort study HER2 amplification in primary CRC 4.1% (41/992) Large primary CRC cohort (lee2024rasrafmutationsand pages 1-2, lee2024rasrafmutationsand pages 5-6)
Cohort study Site distribution of HER2 amplification Right colon 1.0%; left colon 5.1%; rectum 4.8% ~95% of amplified tumors in left colon + rectum (lee2024rasrafmutationsand pages 1-2)
Cohort study MSI in HER2-amplified tumors 0% MSI-H; 100% MSS In 41/41 HER2-amplified CRCs (lee2024rasrafmutationsand pages 1-2, lee2024rasrafmutationsand pages 5-6, lee2024rasrafmutationsand pages 2-3)
Molecular co-alteration KRAS in HER2-amplified cohort 24.4% (10/41) HER2-amplified primary CRC cohort (lee2024rasrafmutationsand pages 2-3, lee2024rasrafmutationsand pages 1-2)
Molecular co-alteration TP53 in HER2-amplified cohort 82.9% (34/41) Frequent co-alteration (lee2024rasrafmutationsand pages 2-3, lee2024rasrafmutationsand pages 1-2)
Molecular co-alteration APC in HER2-amplified cohort 51.2% (21/41) HER2-amplified primary CRC cohort (lee2024rasrafmutationsand pages 2-3)
Molecular co-alteration PIK3CA in HER2-amplified cohort 17.1% (7/41) HER2-amplified primary CRC cohort (lee2024rasrafmutationsand pages 2-3)
Molecular co-alteration NRAS/BRAF in HER2-amplified cohort 0% NRAS; 0% BRAF In the 41-case HER2-amplified cohort (lee2024rasrafmutationsand pages 2-3, lee2024rasrafmutationsand pages 7-9)
Molecular co-alteration RAS/RAF co-alterations among ERBB2-amplified CRC ~20% Associated with lower ERBB2 copy number and greater heterogeneity (singh2024rasrafcomutationand pages 2-4)
Large genomic cohort ERBB2 amplification rate 3.46% (85/2454) Chinese CRC cohort (liu2024genomicprofilingof pages 1-2, liu2024genomicprofilingof pages 2-3)
Large genomic cohort ERBB2 mutation rate 2.24% (55/2454) Chinese CRC cohort (liu2024genomicprofilingof pages 1-2, liu2024genomicprofilingof pages 2-3)
Large genomic cohort MSI-H by ERBB2 alteration type 32.7% of ERBB2-mutant cases; 0% of ERBB2-amplified cases Distinct biology of mutation vs amplification (liu2024genomicprofilingof pages 1-2, liu2024genomicprofilingof pages 2-3)
Large genomic cohort KRAS/PIK3CA in ERBB2 SNV vs amplification KRAS 45.8% vs 14.1%; PIK3CA 31.2% vs 7.7% ERBB2-mutant tumors more often co-altered with KRAS/PIK3CA than amplified tumors (liu2024genomicprofilingof pages 1-2)
Large genomic cohort TP53 in ERBB2 amplification vs mutation 92.3% vs 58.3% TP53 especially enriched with ERBB2 amplification (liu2024genomicprofilingof pages 1-2)
Testing/diagnosis FISH positivity threshold HER2/CEP17 ratio ≥2.0 or average HER2 copy number ≥6.0 Used in CRC scoring comparison study (sun2023her2overexpressionamplificationstatus pages 1-2, sun2023her2overexpressionamplificationstatus pages 4-6)
Testing/diagnosis HER2 amplification rate by FISH in 664-case cohort 7.08% (47/664) Large unselected Chinese CRC cohort (sun2023her2overexpressionamplificationstatus pages 1-2, sun2023her2overexpressionamplificationstatus pages 4-6)
DESTINY-CRC01 definition Cohort A HER2-positive: IHC 3+ or IHC 2+/ISH+ (n=53) T-DXd 6.4 mg/kg q3w (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 3-4, siena2024her2relatedbiomarkerspredict pages 1-2)
DESTINY-CRC01 definition Cohort B IHC 2+/ISH− (n=15) HER2-low/nonamplified comparator cohort (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 3-4, siena2024her2relatedbiomarkerspredict pages 1-2)
DESTINY-CRC01 definition Cohort C IHC 1+ (n=18) HER2-low comparator cohort (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 3-4, siena2024her2relatedbiomarkerspredict pages 1-2)
T-DXd efficacy ORR in Cohort A 45.3% (24/53; 95% CI 31.6–59.6) No responses in cohorts B or C (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 3-4)
T-DXd efficacy ORR by baseline HER2 subgroup IHC 3+: 57.5%; IHC 2+/ISH+: 7.7% Higher activity in IHC 3+ disease (yoshino2023finalresultsof pages 4-6, yoshino2023finalresultsof pages 8-9)
T-DXd efficacy Disease control rate 83.0% in Cohort A Cohort B 60.0%; Cohort C 22.2% (yoshino2023finalresultsof pages 3-4)
T-DXd efficacy Median PFS 6.9 months Cohort A; B 2.1 months; C 1.4 months (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 4-6, yoshino2023finalresultsof pages 8-9)
T-DXd efficacy Median OS 15.5 months Cohort A (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 4-6, yoshino2023finalresultsof pages 9-10)
T-DXd efficacy Median duration of response 7.0 months Cohort A (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 3-4)
T-DXd safety Grade ≥3 TEAEs 65.1% overall Drug-related grade ≥3 TEAEs 48.8% (yoshino2023finalresultsof pages 4-6, yoshino2023finalresultsof pages 8-9)
T-DXd safety Drug-related ILD/pneumonitis 9.3% (8/86) 4 grade 2, 1 grade 3, 3 grade 5 (yoshino2023finalresultsof pages 1-2, yoshino2023finalresultsof pages 3-4, yoshino2023finalresultsof pages 9-10)
T-DXd safety Fatal drug-related ILD 3.5% (3/86) Three grade 5 cases (yoshino2023finalresultsof pages 3-4, yoshino2023finalresultsof pages 9-10)
T-DXd safety Most common grade ≥3 AEs Decreased neutrophil count; anemia Most frequently reported grade ≥3 TEAEs (yoshino2023finalresultsof pages 1-2)
Real-world practice Cohort size 142 HER2-amplified mCRC patients GuardantINFORM/claims database (strickler2023realworldtreatmentpatterns pages 3-4, strickler2023realworldtreatmentpatterns pages 1-2)
Real-world practice Most common regimen before 2018 Anti-VEGF ± chemotherapy: 31.6% (n=25) After HER2 confirmation (strickler2023realworldtreatmentpatterns pages 3-4, strickler2023realworldtreatmentpatterns pages 1-2)
Real-world practice HER2-directed therapy use after 2018 36.5% (n=23) Became most common regimen post-2018 (strickler2023realworldtreatmentpatterns pages 3-4, strickler2023realworldtreatmentpatterns pages 1-2)
Real-world practice HER2-therapy uptake over time 22.8% pre-2018 vs 36.5% post-2018 Increased but still underused (strickler2023realworldtreatmentpatterns pages 4-6)
Real-world practice Median rwTTNT overall 8.4 months (95% CI 6.5–10.0) Across entire cohort (strickler2023realworldtreatmentpatterns pages 3-4, strickler2023realworldtreatmentpatterns pages 1-2)
Real-world practice Median rwTTNT by treatment type HER2-directed 11.0 months vs non-HER2 7.2 months Descriptive comparison (strickler2023realworldtreatmentpatterns pages 3-4, strickler2023realworldtreatmentpatterns pages 1-2)
Real-world practice Median rwTTNT in RAS WT subgroup HER2-directed 11.6 months vs non-HER2 8.1 months Suggests benefit in molecularly selected patients (strickler2023realworldtreatmentpatterns pages 3-4)

Table: This table summarizes the most decision-relevant quantitative findings for HER2-positive colorectal cancer across epidemiology, molecular co-alterations, trastuzumab deruxtecan trial outcomes, and real-world treatment adoption. It is designed as a compact reference for disease knowledge base curation.


Evidence-backed abstract quotes (for knowledge-base support)

  • Meta-analysis definition and prevalence: “HER2+ was defined as 1) immunohistochemistry with a score of 3+, 2) immunohistochemistry with a score of 2+ and in situ hybridization+, or 3) next-generation sequencing positiveEstimated HER2+ rate was 4.1%…” (JNCI Cancer Spectrum, 2024; URL https://doi.org/10.1093/jncics/pkad082). (singh2024systematicliteraturereview pages 1-2)
  • DESTINY-CRC01 trial definition and outcomes: “cohort A (HER2-positive, immunohistochemistry [IHC] 3+ or IHC 2+/in situ hybridization [ISH]+)” and “reporting an ORR of 45.3% in cohort AMedian progression-free survival, overall survival, and duration of response were 6.9, 15.5, and 7.0 months…” (Nature Communications, 2023; URL https://doi.org/10.1038/s41467-023-38032-4). (yoshino2023finalresultsof pages 1-2)

Gaps and limitations (explicit)

  • Ontology identifiers (MONDO/MeSH/ICD/Orphanet) for the molecular subtype were not recovered in the retrieved documents; the subtype is predominantly represented as a biomarker-defined subgroup rather than a standalone disease entity. (singh2024systematicliteraturereview pages 1-2)
  • Subtype-specific symptom frequencies, quality-of-life metrics, and prevention/screening recommendations specific to HER2-positive CRC were not present in the retrieved HER2-focused evidence.

References

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