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Updated: Jan 9, 2026

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Implantation and Evaluation of Melanoma in the Murine Choroid via Optical Coherence Tomography
Published on: December 2, 2022
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Genetic Background Predicts Uveal Melanoma Patients' Outcomes.
Thibault Verrier1,2, Anaïs Le Ven1,2,3, Alexandre Houy1,2
1INSERM U1339 CNRS UMR3666, DNA Repair and Uveal Melanoma (D.R.U.M.), Institut Curie, Paris, France.
Ophthalmology Science
|December 11, 2025
Summary
Germline genetics, specifically IRF4 and HERC2 SNPs, influence uveal melanoma (UM) prognosis and chromosome 3 status. While these SNPs show prognostic value, a genetic classifier did not surpass existing clinical models for UM.
Area of Science:
- Ophthalmology
- Genetics
- Oncology
Background:
- Single nucleotide polymorphisms (SNPs) in IRF4 and HERC2 are linked to chromosome 3 disomy (D3) or monosomy (M3) in uveal melanoma (UM).
- Understanding the genetic basis of UM is crucial for improving patient outcomes.
Purpose of the Study:
- To investigate the association between germline genetics (IRF4 and HERC2 SNPs) and uveal melanoma (UM) patient outcomes.
- To evaluate the potential of a derived genetic signature for UM prognosis.
Main Methods:
- A cohort study involving 1339 UM patients analyzed the impact of IRF4 and HERC2 SNPs on survival using Kaplan-Meier and Cox regression.
- Generalized linear models assessed SNP associations with UM subtypes and iris color.
- A classifier was trained and validated to predict UM subtypes and survival.
Main Results:
- IRF4 rs12203592-T and HERC2 rs12913832-G SNPs were associated with improved and worsened survival, respectively, primarily via chromosome 3 status.
- SNP associations with UM subtypes (D3/M3) were largely independent of iris pigmentation.
- A genetic classifier predicted chromosome 3 status and survival but did not outperform established clinical prognostic features.
Conclusions:
- Inherited polymorphisms in IRF4 and HERC2 are independently associated with UM subtype and prognosis.
- Current SNP-based classifiers do not yet outperform established prognostic models for UM.
- Further research may refine genetic markers for UM risk stratification.
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