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: Uveal Melanoma
• MONDO ID: (if available)
• Category:

Research Objectives

Please provide a comprehensive research report on Uveal Melanoma 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

Comprehensive Research Report: Uveal Melanoma (UM)

Target disease and classification

Disease overview and definition. Uveal melanoma (UM) is a malignant neoplasm arising from melanocytes in the uveal tract (iris, ciliary body, choroid) and is the most common primary malignant intraocular tumor in adults. (pasarica2024pathologicalandmolecular pages 1-2, NCT07063875 chunk 1)

Category. Rare ocular cancer (melanoma subtype); primary intraocular malignancy. (pasarica2024pathologicalandmolecular pages 1-2, NCT07063875 chunk 1)

Key identifiers (available in current evidence corpus). - MeSH preferred term: Uveal Melanoma; MeSH ID: D000098943 (as listed in ClinicalTrials.gov MeSH tagging). (NCT07063875 chunk 1) - ICD-O site codes used in SEER registry studies: C69.3 (choroid); C69.4 (ciliary body and iris); melanoma morphology codes 8720–8790 were used to identify melanoma histologies. (weinberger2025uvealmelanoma5year pages 1-2) - AJCC staging: AJCC 8th edition TNM staging is the current standard for iris and posterior uveal melanoma. (pasarica2024pathologicalandmolecular pages 2-4)

Identifiers not retrievable from current tool corpus. MONDO ID, Orphanet ID, and OMIM disease entries were not available in the retrieved documents; therefore they cannot be asserted here without external ontology lookup.

Common synonyms / alternative names (used in the evidence corpus). - Ocular melanoma (when referring broadly to intraocular melanoma subtypes) (lissak2024whatsetsuveal pages 1-3) - Posterior uveal melanoma (commonly meaning choroid/ciliary body) (pasarica2024pathologicalandmolecular pages 2-4)

Data provenance (EHR vs aggregated resources). Most epidemiology and outcomes statistics cited here derive from aggregated registry resources (e.g., SEER; national insurance databases) and multi-center cohorts, rather than single-institution EHR alone. (weinberger2025uvealmelanoma5year pages 2-4, toth2024incidenceandmortality pages 1-2)

1. Disease information (current understanding)

UM is biologically distinct from cutaneous melanoma and is characterized by: (i) a small number of recurrent initiating driver mutations (GNAQ/GNA11 axis), (ii) strong prognostic dependence on secondary alterations (e.g., BAP1 loss, monosomy 3), and (iii) marked hepatotropism, with the liver being the predominant metastatic site. (pasarica2024pathologicalandmolecular pages 1-2, iavarone2025ocularmelanomaa pages 4-6)

Recent reviews emphasize that effective local control of the primary tumor has not translated into major improvements in population-level survival, largely because micrometastatic disease is often present at diagnosis and metastasis can occur years later. (pasarica2024pathologicalandmolecular pages 1-2, weinberger2025uvealmelanoma5year pages 1-2)

2. Etiology and risk factors

2.1 Causal factors and mechanistic etiologies

Somatic oncogenesis. UM tumorigenesis is typically initiated by mutually exclusive activating mutations in GNAQ or GNA11 (and less commonly PLCB4 or CYSLTR2), with secondary alterations (BAP1 inactivation; SF3B1; EIF1AX) shaping metastatic risk. (pasarica2024pathologicalandmolecular pages 1-2, iavarone2025ocularmelanomaa pages 4-6)

2.2 Risk factors (human epidemiology)

Phenotype and ancestry. Registry and review data consistently indicate increased UM incidence among people with light pigmentation phenotypes (e.g., light eye color, sun-sensitive skin) and strong predominance in White populations in US registries (≈98% White in SEER-based analyses). (weinberger2025uvealmelanoma5year pages 2-4, jager2020uvealmelanoma pages 2-3)

Ultraviolet radiation (UVR): subsite-specific associations (2024 registry analysis). A large US registry study linking satellite-based ambient UVR to ocular melanoma incidence (2000–2019) found no association with total ocular melanoma overall, but observed increased incidence for ciliary body/iris melanoma in the highest UVR quartile and reduced incidence for choroidal melanoma in that quartile (Q4 vs Q1 IRR 1.63 for ciliary body/iris; IRR 0.86 for choroid). (arockiaraj2024ambientultravioletradiation pages 1-2)

Germline predisposition. Germline susceptibility is uncommon but clinically important. A 2025 high-risk sequencing study summarized that BAP1 is the only known high-penetrance UM susceptibility gene, with pathogenic/likely pathogenic germline BAP1 variants estimated at ~2% of all UM and up to ~25% of familial UM; 1–4% of cases are reported as familial. (repo2025germlinecancersusceptibility pages 1-3)

Germline BAP1 and outcomes. In a 2024 cohort that included six germline BAP1 carriers, 5/6 developed metastases, consistent with high metastatic risk in this subgroup. (wadt2024characterizationofsomatic pages 1-2)

2.3 Protective factors

No protective genetic or environmental factors with quantitative effect estimates were available in the retrieved evidence corpus.

2.4 Gene–environment interactions

Evidence in this corpus supports a plausible interaction between pigmentation genetics/phenotype and ocular environmental exposures (including light exposure), but does not provide definitive causal interaction models. For example, risk is linked to pigmentation-associated loci (e.g., HERC2/OCA2) and UVR associations appear subsite-dependent (iris/ciliary body vs choroid). (jager2020uvealmelanoma pages 2-3, arockiaraj2024ambientultravioletradiation pages 1-2)

3. Phenotypes (clinical presentation)

3.1 Common presenting symptoms with frequencies

Large clinical cohorts show that UM can be asymptomatic or present with nonspecific visual symptoms.

Posterior UM cohort (n=1,449): - Blurred vision: 39% (559/1,449) - Visual field defect (“shadow”): 16% (277/1,449) - Photopsia and/or floaters: 12% (176/1,449) - Asymptomatic: 28% (400/1,449) - Retinal detachment (recorded subset): 63% (245/391) with exudative detachments among those with recorded RD status - Mean symptom duration: 4 months (SD 5) (fili2021presentingsymptomsare pages 1-2)

Enucleation cohort (n=69): blurred vision 49%, visual field shadow 26%, photopsia/floaters 10%, no symptoms 13%. (sabazade2022vasculogenicmimicrycorrelates pages 1-3)

Classic symptom profile in a high-citation review: blurred vision 38%, photopsia 9%, floaters 7%, visual field loss 6%, ~30% asymptomatic. (kaliki2017uvealmelanomarelatively pages 4-6)

3.2 Phenotype ontology suggestions (HPO)

Suggested HPO mappings (not exhaustive; terms named for KB usability): - Blurred vision → HP:0000622 (Blurred vision) (supported by cohort symptom data). (fili2021presentingsymptomsare pages 1-2) - Visual field defect/shadow → HP:0001129 (Visual field defect). (fili2021presentingsymptomsare pages 1-2) - Photopsia → HP:0001100 (Photopsia). (fili2021presentingsymptomsare pages 1-2) - Floaters → HP:0000628 (Vitreous floaters). (fili2021presentingsymptomsare pages 1-2) - Metamorphopsia/distorted vision → HP:0000570 (Metamorphopsia). (fili2021presentingsymptomsare pages 1-2) - Exudative retinal detachment → HP:0000541 (Retinal detachment) (subtype not explicitly coded in HPO; record as RD and add free-text qualifier). (fili2021presentingsymptomsare pages 1-2)

3.3 Onset, progression, and QoL impact

UM is typically diagnosed in older adults; SEER data show a median age at diagnosis around 63 years. (weinberger2025uvealmelanoma5year pages 1-2)

Vision-related QoL impact is substantial because initial symptoms and treatment toxicities commonly involve visual acuity decline and retinal complications, particularly after radiotherapy. (semeniuk2024currentandemerging pages 2-3)

4. Genetic/molecular information and mechanism/pathophysiology

4.1 Core molecular architecture and classes

UM is characterized by (i) early initiating oncogenic mutations and (ii) secondary progression alterations with strong prognostic significance. A 2024 diagnostics review states: early/initiating mutations include GNAQ, GNA11, PLCB4, CYSLTR2; secondary progression alterations include BAP1 inactivation and SF3B1/EIF1AX mutations. (pasarica2024pathologicalandmolecular pages 1-2)

A mechanistic review describes Gαq/Gα11 signaling as a central upstream axis that feeds into PLCβ→PKC→MAPK, PI3K/AKT/mTOR, and YAP/TAZ transcriptional programs. (iavarone2025ocularmelanomaa pages 4-6)

A commonly used genomic stratification scheme (TCGA-based) emphasizes chromosome 3 and 8q copy-number status, yielding risk classes with distinct metastasis rates; one validation study reported 5-year cumulative distant metastasis rates: 4% (class A), 20% (B), 33% (C), 63% (D). (pasarica2024pathologicalandmolecular pages 1-2, pasarica2024pathologicalandmolecular pages 9-10)

Structured summary artifact. The table below summarizes initiating vs progression drivers, approximate frequencies where available, and prognostic associations.

Table: This table summarizes the main initiating drivers, secondary prognostic alterations, and molecular classifiers in uveal melanoma. It is useful for quickly linking each alteration to approximate frequency, biology, and metastatic-risk implications.

4.2 Prognostic molecular testing: 15-GEP and PRAME (2024 prospective validation)

A large prospective multi-center study (COOG2; n=1,577) validated integration of a 15-gene expression profile (15-GEP) with PRAME RNA expression for prognostic stratification, and concluded the integrated classifier supports “risk-adjusted metastatic surveillance and adjuvant trial stratification”. (harbour202415geneexpressionprofile pages 1-2)

Quantitatively, 5-year metastasis-free survival (MFS) differed strongly by integrated status: - Class 1/PRAME−: 95.6% - Class 1/PRAME+: 80.6% - Class 2/PRAME−: 58.3% - Class 2/PRAME+: 44.8% (harbour202415geneexpressionprofile pages 1-2)

A Kaplan–Meier visualization of these strata is available in the retrieved figure region. (harbour202415geneexpressionprofile media 9fd22c19)

4.3 Epigenetics and chromatin state

Inferred from molecular subclassification, monosomy 3 and BAP1 aberrancy are associated with a distinct methylation pattern and dedifferentiation/metastatic phenotype. (pasarica2024pathologicalandmolecular pages 9-10, iavarone2025ocularmelanomaa pages 4-6)

4.4 Mechanistic causal chain (conceptual)

A consensus mechanistic chain supported by the retrieved evidence is: 1) Initiation via constitutively active Gαq/Gα11 signaling (GNAQ/GNA11; or PLCB4/CYSLTR2), activating PKC/MAPK and YAP/TAZ programs → 2) Progression via acquisition of high-risk chromosomal changes (monosomy 3; 8q gain) and tumor suppressor loss (BAP1) or splicing alterations (SF3B1) → 3) Metastatic competence with strong liver tropism and poor survival once metastasis occurs. (iavarone2025ocularmelanomaa pages 4-6, kastelan2026precisiononcologyin pages 4-5, pasarica2024pathologicalandmolecular pages 1-2)

4.5 Suggested GO (biological process) and CL (cell type) terms

These suggestions are consistent with the mechanisms described in the cited sources: - GO: MAPK cascade; PI3K/AKT signaling; Hippo signaling / YAP/TAZ-mediated transcription; RNA splicing (SF3B1); chromatin organization (BAP1). (iavarone2025ocularmelanomaa pages 4-6, dore2026clinicalmolecularpathology pages 3-5) - CL: melanocyte (tumor cell-of-origin; uveal melanocytes). (pasarica2024pathologicalandmolecular pages 1-2)

5. Diagnostics and staging

5.1 Diagnostic workup (real-world clinical implementation)

A contemporary prospective uveal melanoma cohort (COOG2) used multimodal ophthalmic evaluation including fundus photography, OCT, and ocular ultrasonography, and staged tumors using AJCC 8th edition; baseline systemic staging commonly included CT chest/abdomen/pelvis, and surveillance emphasized liver imaging. (harbour202415geneexpressionprofile pages 2-4)

A 2024 plaque brachytherapy cohort reported UM diagnostic modalities including A-scan and B-scan echography, fluorescein angiography, indocyanine green angiography, OCT, and MRI, with AJCC 8th edition staging. (laliscia2024iodineplaquebrachytherapy pages 1-2)

5.2 AJCC 8th edition staging (key concepts)

AJCC 8th edition organizes T category by largest basal diameter and tumor thickness, with subclassifications for ciliary body involvement and extraocular extension; higher stage correlates with higher metastatic risk (e.g., Stage II ~3.1× and Stage III ~9.3× metastasis risk versus Stage I in one validation). (pasarica2024pathologicalandmolecular pages 2-4)

5.3 Differential diagnosis

Differential diagnosis (“pseudomelanomas”) is widely recognized in the clinical literature but specific differential lists and distinguishing features were not directly retrievable from the 2023–2024 focused evidence pulled here.

6. Epidemiology, population, natural history, and prognosis

6.1 Incidence and demographics (registry-based)

United States (SEER 1975–2020 update). Mean age-adjusted incidence: 5.6 per million (95% CI 5.5–5.7), with higher incidence in males (6.3/million) than females (5.0/million), median age 63 years, and heavy predominance in White patients (~98%). Incidence overall was stable, with a small annual increase (APC 0.5%) in White patients. (weinberger2025uvealmelanoma5year pages 2-4)

Hungary nationwide (NHIF 2012–2021). Age-standardized incidence ranged 6.40–10.96 per 1,000,000 person-years; anatomic distribution was mostly choroidal (90%); all-cause mortality declined during 2012–2021 but could not be attributed clearly to improved treatments. (toth2024incidenceandmortality pages 1-2)

6.2 Outcomes and metastatic behavior

Primary treatment pattern shifts without survival improvement (US SEER). Surgery-alone decreased from 93% (1975–1977) to 21% (2017–2020), while radiation increased from 1% to 58%, but 5-year relative survival remained unchanged at ~82.8% (1975–2016). (weinberger2025uvealmelanoma5year pages 1-2)

Metastatic prognosis. In a SEER-linked analysis (2000–2019), mortality after metastatic uveal melanoma was reported as 80% by 1 year and 92% by 2 years. (arockiaraj2024ambientultravioletradiation pages 1-2)

7. Treatment

7.1 Local therapy for primary UM (real-world use)

Plaque brachytherapy and proton/charged-particle radiotherapy are the main globe-sparing modalities, with enucleation reserved for select cases (e.g., very large tumors, unfavorable location, or complications). Candidate selection is often driven by tumor size and proximity to critical structures such as the optic nerve. (semeniuk2024currentandemerging pages 2-3)

Plaque brachytherapy outcomes (2024 series). A 2024 125I plaque brachytherapy cohort (n=50) reported 5-year outcomes: local control 83.0%, metastasis-free survival 90.3%, overall survival 92.1%; radiation retinopathy grade 1–3 occurred in 18%. (laliscia2024iodineplaquebrachytherapy pages 1-2)

Radiotherapy complications (2024 review synthesis). A 2024 review summarized commonly reported complications after plaque brachytherapy including cataracts (~20%), radiation maculopathy (~25%), vitreous hemorrhage (~18%), retinal detachment (~2%), and secondary glaucoma (~23%). (semeniuk2024currentandemerging pages 2-3)

Charged-particle therapy vs brachytherapy (2024 meta-analysis). Charged-particle therapy had lower local recurrence than brachytherapy (OR 0.38, 95% CI 0.24–0.60), with no statistically significant differences in mortality, enucleation, or cataract; secondary glaucoma risk may be higher with charged-particle therapy. (tseng2024comparingefficacyof pages 1-2)

Proton therapy outcomes (2024–2025 evidence). - A 2024 proton therapy review described a large cohort with 10-year local control 92.1%, metastasis-free survival 76.4%, overall survival 64.1%, and eye retention 87.3%. (chan2024protontherapyin pages 6-7) - A 2025 systematic review/meta-analysis of proton therapy for choroidal melanoma reported local control 88% at 10 years and overall survival 39% at 10 years, with common complications including glaucoma (~17.9–27%), optic neuropathy (~12.8–64%), and cataracts (~29.6–39.8%). (miao2025efficacyandsafety pages 1-2)

7.2 Systemic therapy for metastatic UM (2023–2024 prioritized)

Tebentafusp (TCR-bispecific gp100×CD3; ImmTAC). Tebentafusp is the first systemic therapy in UM with demonstrated overall survival benefit in a molecularly defined group (HLA-A02:01-positive). Pivotal-trial-level summaries report median OS 21.6 vs 16.9 months* (HR 0.68). (saldanha2025howwetreat pages 1-2)

ctDNA-guided response/prognosis with tebentafusp (2024). In a prospective cohort of 69 metastatic UM patients treated with tebentafusp, baseline detectable ctDNA was strongly prognostic (median OS 12.9 vs 40.5 months for detectable vs undetectable), and a ≥90% ctDNA reduction at 12 weeks correlated with longer OS (median 21.2 vs 12.9 months). (rodrigues2024prospectiveassessmentof pages 1-2)

Long-term tebentafusp follow-up (2024). A phase 1/2 long-term follow-up (median follow-up 48.5 months) reported median OS 17.4 months, with OS rates 62% (1-year), 40% (2-year), 23% (3-year), 14% (4-year); ctDNA clearance associated with markedly improved survival. (sacco2024longtermsurvivalfollowup pages 1-2)

Structured therapy summary artifact.

Table: This table summarizes the main systemic and liver-directed treatment options for metastatic uveal melanoma, with emphasis on tebentafusp outcomes, biomarker data, and ongoing combination/adjuvant trials. It is useful for quickly comparing efficacy, toxicity, and real-world implementation constraints such as HLA restriction and liver-dominant disease management.

7.3 MAXO suggestions (treatments)

These MAXO suggestions are provided for KB normalization (names provided; ontology IDs not available in corpus): - Plaque brachytherapy (episcleral plaque radiotherapy) (laliscia2024iodineplaquebrachytherapy pages 1-2) - Proton beam therapy (charged-particle radiotherapy) (miao2025efficacyandsafety pages 1-2) - Enucleation (eye removal surgery) (referenced as comparator in reviews) (semeniuk2024currentandemerging pages 2-3) - Tebentafusp therapy (bispecific T-cell engager / TCR-bispecific) (rodrigues2024prospectiveassessmentof pages 1-2) - Liver-directed embolization/perfusion/ablation (interventional radiology) (arockiaraj2024ambientultravioletradiation pages 1-2)

8. Prevention and surveillance

8.1 Primary prevention

No validated primary-prevention interventions (analogous to vaccines) exist for UM in the current evidence corpus. Risk reduction is generally limited by the uncertain/heterogeneous role of UVR, especially for posterior UM. (arockiaraj2024ambientultravioletradiation pages 1-2)

8.2 Secondary prevention: metastatic surveillance (expert consensus and major review)

Risk-adapted surveillance using molecular prognostics (2023 expert review). A Nature Reviews Clinical Oncology review recommends surveillance stratified by molecular risk (GEP class and PRAME): e.g., annual imaging for low risk, 6–12 month imaging for intermediate risk, and 3–6 month imaging for high risk early after treatment, with continued surveillance given potential for late metastases. (carvajal2023advancesinthe pages 5-7)

Delphi expert consensus (2025; surveys conducted 2024–2025). A multidisciplinary Delphi panel produced consensus surveillance guidance for intermediate- and high-risk UM, favoring contrast-enhanced hepatic imaging (CT/MRI) over ultrasound and not recommending PET/CT for routine surveillance. It also proposed specific surveillance frequencies (e.g., intermediate risk at least every 3–6 months for 5 years, then annually to ≥10 years; high risk every 3–6 months in years 1–5 and every 6–12 months in years 6–10, with consideration beyond 10 years). (alban2025metastaticuvealmelanoma pages 7-9, alban2025metastaticuvealmelanoma pages 5-7)

9. Other species and model organisms

While detailed veterinary natural-disease epidemiology was not retrieved, the UM research ecosystem includes diverse model systems. A 2026 Cancer Research paper reports development of an immune-competent genetically engineered mouse model incorporating stepwise alterations (GNAQ Q209L expression, BAP1 deletion, MYC activation) that produces intraocular tumors and recapitulates features of aggressive class 2 UM, including immunosuppressive macrophage populations and exhausted T cells (supporting immunotherapy research). (paduszynska2024comprehensiveinsightsinto pages 11-13)

10. Recent developments (2023–2024 priority highlights)

1) Prospective validation of integrated prognostic biomarkers (15-GEP + PRAME) at multi-center scale (COOG2; published Oct 2024) enabling risk-adjusted surveillance and trial stratification. (harbour202415geneexpressionprofile pages 1-2, harbour202415geneexpressionprofile media 9fd22c19) 2) Prospective ctDNA monitoring during tebentafusp therapy (published Oct 2024) showing strong prognostic and predictive utility of ctDNA detectability and early reduction. (rodrigues2024prospectiveassessmentof pages 1-2) 3) Radiotherapy comparative evidence synthesis (Apr 2024; Oct 2024) refining when proton/charged-particle therapy may reduce local recurrence compared with plaque brachytherapy, while highlighting uncertainty in survival differences and complication tradeoffs. (tseng2024comparingefficacyof pages 1-2, semeniuk2024currentandemerging pages 2-3) 4) Large registry-based UVR analysis (Feb 2024) supporting the view that UVR risk is subsite-dependent (ciliary body/iris vs choroid), rather than uniformly causal across UM. (arockiaraj2024ambientultravioletradiation pages 1-2)

11. Data/statistics snapshot (for KB fields)

• US incidence (SEER 1975–2020): 5.6 per million/year; 5-year relative survival 82.8% (stable across decades). (weinberger2025uvealmelanoma5year pages 1-2)
• Hungary incidence (2012–2021): 6.40–10.96 per 1,000,000 person-years. (toth2024incidenceandmortality pages 1-2)
• Metastasis risk stratification by TCGA class: 5-year distant metastasis 4% (A), 20% (B), 33% (C), 63% (D). (pasarica2024pathologicalandmolecular pages 1-2)
• Integrated 15-GEP/PRAME (COOG2): 5-year MFS 95.6% (class1/PRAME−) vs 44.8% (class2/PRAME+). (harbour202415geneexpressionprofile pages 1-2, harbour202415geneexpressionprofile media 9fd22c19)
• Tebentafusp ctDNA (prospective cohort): baseline ctDNA detectable → OS 12.9 vs 40.5 months; ≥90% reduction at 12 weeks → OS 21.2 vs 12.9 months. (rodrigues2024prospectiveassessmentof pages 1-2)

Evidence type notes

• Registry epidemiology: SEER and national insurance datasets (human population-level). (weinberger2025uvealmelanoma5year pages 2-4, toth2024incidenceandmortality pages 1-2)
• Prognostic biomarkers: prospective multi-center cohort (human clinical). (harbour202415geneexpressionprofile pages 1-2)
• Tebentafusp outcomes/biomarkers: prospective cohort and phase 1/2 follow-up (human clinical). (rodrigues2024prospectiveassessmentof pages 1-2, sacco2024longtermsurvivalfollowup pages 1-2)
• Model organisms: genetically engineered mouse model (preclinical). (paduszynska2024comprehensiveinsightsinto pages 11-13)

Key source URLs and publication dates (selected)

• Carvajal RD et al. Jan 2023, Nat Rev Clin Oncol: https://doi.org/10.1038/s41571-022-00714-1 (carvajal2023advancesinthe pages 5-7)
• Arockiaraj BM et al. Feb 2024, Eye: https://doi.org/10.1038/s41433-024-02959-9 (arockiaraj2024ambientultravioletradiation pages 1-2)
• Rodrigues M et al. Oct 2024, Nat Commun: https://doi.org/10.1038/s41467-024-53145-0 (rodrigues2024prospectiveassessmentof pages 1-2)
• Harbour JW et al. Oct 2024, J Clin Oncol: https://doi.org/10.1200/JCO.24.00447 (harbour202415geneexpressionprofile pages 1-2)
• Sacco JJ et al. Jun 2024, J Immunother Cancer: https://doi.org/10.1136/jitc-2024-009028 (sacco2024longtermsurvivalfollowup pages 1-2)
• Tseng Y-H et al. Apr 2024, Eye: https://doi.org/10.1038/s41433-024-03035-y (tseng2024comparingefficacyof pages 1-2)
• Weinberger Y et al. Dec 2025, Ocular Oncol Pathol (SEER update): https://doi.org/10.1159/000543151 (weinberger2025uvealmelanoma5year pages 1-2)

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