Ten-year outcomes of uveal melanoma based on The Cancer Genome Atlas (TCGA) classification in 1001 cases

Updates in the Management of Uveal Melanoma

ABSTRACT

Uveal melanoma (UM), arising from intraocular melanocytes, poses a complex clinical challenge with a substantial risk of distant metastasis, often to the liver. Molecular profiling, encompassing genetic, cytogenetic, gene expression, and immunological subsets, plays a pivotal role in determining prognoses. The evolving landscape includes promising systemic treatments, such as tebentafusp, a novel immune-modulating bispecific fusion protein, and targeted therapies. Combined regional and systemic approaches, including immune checkpoint inhibitors and innovative liver-directed therapy, are also under investigation. Although recent progress has improved outcomes, ongoing research aims to address the unique challenges of UM and develop effective therapies, particularly for HLA-A*02:01-negative patients who represent a significant unmet medical need. This review comprehensively discusses the molecular characteristics of UM, risk stratification methods, and the current and future spectrum of regional and systemic therapeutic modalities.

Association of Fitzpatrick Skin Type with metastatic risk from uveal melanoma in 854 consecutive patients at a single center

OBJECTIVE

To assess the association of skin color using Fitzpatrick Skin Type (FST) with metastatic risk of uveal melanoma.

SUBJECTS

854 consecutive patients with uveal melanoma and documented FST.

METHODS

Retrospective detailed review of patient charts was performed for FST (type I- white, II-fair, III-average, IV-light brown, V-brown, VI-black), clinical details of the patient and the uveal melanoma, tumor cytogenetic classification according to The Cancer Genome Atlas (TCGA), and outcome of melanoma-related metastasis and death.

RESULTS

The FST classification was type I (n = 97 patients), type II (n = 665), type III (n = 79), type IV (n = 11), type V (n = 2), type VI (n = 0). A comparison of patient FST (type I vs. II vs. III-V) revealed significant differences in mean age at presentation (64.1 vs. 58.5 vs. 49.8 years, p < 0.001), race white (100% vs. 98% vs. 75%, p < 0.001), presence of ocular melanocytosis (3% vs. 3% vs. 10%, p = 0.01), visual acuity <20/200 at presentation (6% vs. 7% vs. 13%, p = 0.03), genetic results showing TCGA group B tumors (11% vs. 14% vs. 26%, p = 0.01) or TCGA group D tumors (22% vs. 11% vs. 9%, p = 0.01), 10-year incidence of melanoma-related metastasis (25% vs. 15% vs. 14%, p = 0.02) and 10-year incidence of melanoma-related death (9% vs. 3% vs. 4%, p = 0.04). FST was a significant predictor of melanoma-related metastasis (p = 0.02, Hazard ratio 2.3).

CONCLUSIONS

Fitzpatrick skin type may be a predictor of melanoma-related metastasis, with metastasis and TCGA Group D tumors being more common in patients with FST I.

The Cancer Genome Atlas for uveal melanoma is predictive of patient outcomes

Uveal melanoma (UM) is the most common primary eye malignancy. Despite excellent local tumor rates, UM is a life-threatening disease with moderate systemic metastatic rates. In the past, certain clinical features were shown to be predictive of patient prognosis, including tumor thickness, tumor diameter, ciliary body involvement, and histopathologic factors. Genetic markers have lately been used to predict patient outcomes. The Cancer Genome Atlas (TCGA) is a worldwide effort developed by the National Cancer Institute and the National Human Genome Research Institute to study numerous mutations in various cancer types. TCGA has explored chromosome copy number alterations in UM, messenger RNA, micro-RNA, and long noncoding RNA expression levels and established four prognostic classes: group A (chromosome 3 and 8 disomy), group B (chromosome 3 disomy and 8q gain), group C (chromosome 3 monosomy and/or 8q gain), and group D (chromosome 3 monosomy and multiple 8q gains). Multiple studies have validated TCGA classification and have reported that it has been highly predictive of UM metastasis and patient survival.

Characterisation of the protein expression of the emerging immunotherapy targets VISTA, LAG-3 and PRAME in primary uveal melanoma: insights from a southern French patient cohort

Uveal melanoma (UM) is the most common intraocular tumour in adults, with dismal prognosis once metastases develop, since therapeutic options for the metastatic disease are ineffective. Over the past decade, novel cancer therapies based on immunotherapy have changed the landscape of treatment of different forms of cancer leading to many hopes of improvement in patient overall survival (OS). VISTA, LAG-3 and PRAME are novel promising targets of immunotherapy that have recently gained attention in different solid tumours, but whose relevance in UM remained to be comprehensively evaluated until now. Here, we studied the protein expression of VISTA, LAG-3 and PRAME using immunohistochemistry in representative whole tissue sections from primary UM cases in a cohort of 30 patients from a single centre (Nice University Hospital, Nice, France). The expression of each of these markers was correlated with different clinical and pathological parameters, including onset of metastases and OS. We demonstrated the protein expression of VISTA and LAG-3 in small lymphocytes infiltrating the tumour, while no expression of the proteins was detected in UM cells. For PRAME, nuclear expression was observed in UM cells, but no expression in tumour infiltrating immune cells was identified. Increased levels of VISTA expression in tumour infiltrating lymphocytes (TILs) were associated with nuclear BAP1 expression and better prognosis. Higher levels of LAG-3 in TILs were associated with higher levels of CD8-positive TILs. PRAME nuclear positivity in melanoma cells was associated with epithelioid cell dominant (>90%) UM histological subtype, higher mitotic numbers and a higher percentage of chromosome 8q gain. This study proposes VISTA as a novel relevant immune checkpoint molecule in primary UM and contributes to confirm LAG-3 and PRAME as potentially important immunotherapy targets in the treatment of UM patients, helping to expand the number of immunotherapy candidate molecules that are relevant to modulate in this aggressive cancer.

Effectiveness of treatment for iris melanoma: surgical versus radiotherapeutic approaches

OBJECTIVE

To evaluate the effectiveness of preventing metastasis for each major treatment modality for iris melanoma.

DESIGN

Retrospective case series.

PARTICIPANTS

Three hundred consecutive eyes with iris melanoma at a single tertiary referral centre for ocular oncology.

METHODS

Retrospective analysis of eyes with iris melanoma, both with (n = 69 eyes) and without (n = 231 eyes) ciliary body extension, was undertaken for metastasis-free survival at 5, 10, and 20 years based on type of treatment, including globe-sparing surgical resection (n = 169 eyes), plaque radiotherapy (n = 74 eyes), or enucleation (n = 57 eyes).

RESULTS

For the total population, 5-, 10-, and 20-year metastasis-free survival rates were 95%, 93%, and 87%, respectively, and there was no difference in metastatic rates for tumours with versus without ciliary body extension (p = 0.95). Noninferiority was demonstrated for surgical resection and plaque radiotherapy, with metastasis-free survival rates of 98%, 97%, and 94% for surgical resection and 94%, 94%, and 89% for plaque radiotherapy (p = 0.002). The rates for globe salvage were 94%, 92%, and 90% for surgical resection and 94%, 86%, and 86% for plaque radiotherapy (p = 0.003). However, metastasis-free survival was worse in patients who underwent enucleation (86%, 67%, and NA; p < 0.001).

CONCLUSIONS

Metastasis-free survival and globe salvage following plaque radiotherapy and surgical resection are not inferior to either, but eyes undergoing enucleation demonstrated a lower metastasis-free survival, likely because enucleation is performed for larger, more extensive melanomas, often with secondary glaucoma. In this analysis, iris melanoma with ciliary body involvement did not increase the risk of metastasis.

Interdependence of Molecular Lesions That Drive Uveal Melanoma Metastasis

The metastatic risk of uveal melanoma (UM) is defined by a limited number of molecular lesions, somatic mutations (SF3B1 and BAP1), and copy number alterations (CNA): monosomy of chromosome 3 (M3), chr8q gain (8q), chr6p gain (6p), yet the sequence of events is not clear. We analyzed data from three datasets (TCGA-UVM, GSE27831, GSE51880) with information regarding M3, 8q, 6p, SF3B1, and BAP1 status. We confirm that BAP1 mutations are always associated with M3 in high-risk patients. All other features (6p, 8q, M3, SF3B1 mutation) were present independently from each other. Chr8q gain was frequently associated with chr3 disomy. Hierarchical clustering of gene expression data of samples with different binary combinations of aggressivity factors shows that patients with 8q|M3, BAP1|M3 form one cluster enriched in samples that developed metastases. Patients with 6p combined with either 8q or SF3B1 are mainly represented in the other, low-risk cluster. Several gene expression events that show a non-significant association with outcome when considering single features become significant when analyzing combinations of risk features indicating additive action. The independence of risk factors is consistent with a random risk model of UM metastasis without an obligatory sequence.

Nomogram of uveal melanoma as prediction model of metastasis risk

Background

Since the poor prognosis of uveal melanoma with distant metastasis, we intended to screen out possible biomarkers for uveal melanoma metastasis risk and establish a nomogram model for predicting the risk of uveal melanoma (UVM) metastasis.

Methods

Two datasets of UVM (GSE84976, GSE22138) were selected. Data was analyzed by R language, CTD database and GEPIA.

Results

The co-upregulated genes of two datasets, HTR2B, CHAC1, AHNAK2, and PTP4A3 were identified using a Venn diagram. These biomarkers are combined with clinical characteristics, and Lasso regression was conducted to filter the metastasis-related biomarkers. HTR2B, CHAC1, AHNAK2, PTP4A3, tumor thickness, and retinal detachment (RD) were selected to establish the nomogram.

Conclusion

Our study provides a comprehensive predictive model and personalized risk estimation tool for assessment of 3-year metastasis risk of UVM with a better accuracy.

Validation of the Prognostic Usefulness of the Gene Expression Profiling Test in Patients with Uveal Melanoma

PURPOSE

To validate the prognostic usefulness of gene expression profile (GEP) testing in patients with uveal melanoma. To determine whether combining tumor size with the GEP classification provides additional prognostic value.

DESIGN

Retrospective analysis.

PARTICIPANTS

Patients with a diagnosis of choroidal melanoma examined at Yale New Haven Hospital; University of California, San Diego; and Memorial Sloan Kettering Cancer Center.

METHODS

Patients' demographic and clinical data and tumor characteristics were collected. Univariate and multivariate Cox hazard regression analysis were used to assess the association between tumor characteristics and GEP classification with metastasis as an outcome.

MAIN OUTCOME MEASURES

Metastasis-free survival (MFS).

RESULTS

Of the 337 individuals included in the study, 87 demonstrated metastases. The mean follow-up time was 37.2 (standard deviation [SD], 40.2) months for patients with metastases and 55.0 (SD, 49.3) months for those without metastases. Tumors of larger thickness and GEP class 2 (vs. class 1) were associated significantly with increased risk of metastasis. Tumor thickness showed better prognostic usefulness than GEP classification (Wald statistic, 40.7 and 24.2, respectively). Class 2 tumors with a thickness of 7.0 mm or more were associated with increased risk of metastasis than tumors with a thickness of < 7.0 mm (hazard ratio [HR], 3.23; 95% confidence interval [CI], 1.61-6.51), whereas class 1 tumors with a thickness of 9.0 mm or more were associated with increased risk of metastasis than tumors with a thickness of < 9.0 mm (HR, 2.07; 95% CI, 0.86-4.99). No difference in MFS was found between patients with class 1A tumors compared with those with class 1B tumors (P = 0.8). Patients with class 2 tumors showed an observed 5-year MFS of 47.5% (95% CI, 36.0%-62.8%).

CONCLUSIONS

Tumor size was the most significant predictor of metastasis and provided additional prognostic value independent of GEP classification. In addition, rates of metastasis for class 2 tumors were lower than estimates reported by Castle Bioscience, and no difference in rates of metastasis were found between class 1A and 1B tumors. This indicates that tumor size should be accounted for when relying on GEP for prognostication and that patients with GEP class 1A or 1B tumors may benefit from the same metastatic surveillance protocols.

FINANCIAL DISCLOSURE(S)

The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Advances in the clinical management of uveal melanoma

Melanomas arising in the uveal tract of the eye are a rare form of the disease with a biology and clinical phenotype distinct from their more common cutaneous counterparts. Treatment of primary uveal melanoma with radiotherapy, enucleation or other modalities achieves local control in more than 90% of patients, although 40% or more ultimately develop distant metastases, most commonly in the liver. Until January 2022, no systemic therapy had received regulatory approval for patients with metastatic uveal melanoma, and these patients have historically had a dismal prognosis owing to the limited efficacy of the available treatments. A series of seminal studies over the past two decades have identified highly prevalent early, tumour-initiating oncogenic genomic aberrations, later recurring prognostic alterations and immunological features that characterize uveal melanoma. These advances have driven the development of a number of novel emerging treatments, including tebentafusp, the first systemic therapy to achieve regulatory approval for this disease. In this Review, our multidisciplinary and international group of authors summarize the biology of uveal melanoma, management of primary disease and surveillance strategies to detect recurrent disease, and then focus on the current standard and emerging regional and systemic treatment approaches for metastatic uveal melanoma.

Iris melanoma outcomes based on the Cancer Genome Atlas (TCGA) classification in 78 consecutive patients

BACKGROUND

The Cancer Genome Atlas (TCGA) classification of genetic alterations in uveal melanoma is widely used for prognostication. We present novel observations on the impact of TCGA Group specifically for iris melanoma.

METHODS

This was a retrospective cohort study at a tertiary referral ocular oncology center. All patients with a diagnosis of iris melanoma who underwent genetic evaluation and assessment for TCGA classification between 20 November 1995 and 5 April 2021 were included. The main outcome measures were visual acuity, secondary glaucoma, tumor recurrence, melanoma-related metastasis and death per TCGA group.

RESULTS

There were a total of 78 patients included. The mean patient age was 49.6 years (median 53.0, range 3.0-85.0), mean tumor basal diameter was 6.7 mm (median 6.0, range 1.5-22.0), and mean tumor thickness was 2.6 mm (median 2.5, range 0.5-8.5). Cytology results confirmed iris melanoma (93%) or were inconclusive (7%). The TCGA groups included Group A (n = 36, 46%), Group B (n = 7, 9%), Group C (n = 34, 44%), and Group D (n = 1, 1%). There was no statistically significant difference in outcomes of visual acuity, tumor thickness reduction, secondary glaucoma, tumor recurrence, melanoma-related metastasis or death per individual TCGA group (A vs. B vs. C vs. D) and per bimodal comparison (A/B vs. C/D).

CONCLUSIONS

In this analysis, iris melanoma was classified as TCGA group A or B in 55% and as C or D in 45%. The TCGA classification was not predictive of melanoma-related metastasis or death.

Relationship between Fitzpatrick Skin Type and The Cancer Genome Atlas Classification with Melanoma-Related Metastasis and Death in 854 Patients at a Single Ocular Oncology Center

BACKGROUND

The Fitzpatrick Skin Type (FST) is an objective method of classifying patients based on skin color and sunburn sensitivity. The Cancer Genome Atlas (TCGA) is a method of determining the prognosis of patients with uveal melanoma based on genetic composition of the tumor. There is no literature studying the relationship of FST and TCGA groups.

MATERIALS AND METHODS

Retrospective cohort study on 854 patients with uveal melanoma treated at a single tertiary ocular oncology center between April 2006 and June 2020, classified based on FST on a scale of I-VI and based on genetic analysis with TCGA classification on a scale of A, B, C, and D. Outcome measures included uveal melanoma-related metastasis and death per FST and TCGA group.

RESULTS

Patients classified as FST I (compared to FST II and III-V) had higher odds of being TCGA group D (OR 2.34, p = 0.002). Patients classified as FST III-V (compared to FST I and II) had higher odds of being TCGA group B (OR 2.26, p = 0.002). Kaplan-Meier survival analysis showed no difference in melanoma-related metastasis or death comparing FST I vs. II vs. III-V within each TCGA group at 5, 10, and 15 years.

CONCLUSIONS

Patients classified as FST I are more likely to have a higher grade melanoma on genetic testing whereas those classified as FST III-V show lower grade melanoma. Despite differences in tumor features and genetic profile with various FST, survival analysis at 5, 10, and 15 years revealed no difference in melanoma-related metastasis or death within each TCGA group per skin tone.

Multiview clustering of multi-omics data integration by using a penalty model

Background

Methods for the multiview clustering and integration of multi-omics data have been developed recently to solve problems caused by data noise or limited sample size and to integrate multi-omics data with consistent (common) and differential cluster patterns. However, the integration of such data still suffers from limited performance and low accuracy.

Results

In this study, a computational framework for the multiview clustering method based on the penalty model is presented to overcome the challenges of low accuracy and limited performance in the case of integrating multi-omics data with consistent (common) and differential cluster patterns. The performance of the proposed method was evaluated on synthetic data and four real multi-omics data and then compared with approaches presented in the literature under different scenarios. Result implies that our method exhibits competitive performance compared with recently developed techniques when the underlying clusters are consistent with synthetic data. In the case of the differential clusters, the proposed method also presents an enhanced performance. In addition, with regards to real omics data, the developed method exhibits better performance, demonstrating its ability to provide more detailed information within each data type and working better to integrate multi-omics data with consistent (common) and differential cluster patterns. This study shows that the proposed method offers more significant differences in survival times across all types of cancer.

Conclusions

A new multiview clustering method is proposed in this study based on synthetic and real data. This method performs better than other techniques previously presented in the literature in terms of integrating multi-omics data with consistent and differential cluster patterns and determining the significance of difference in survival times.

Prognostic Biomarkers in Uveal Melanoma: The Status Quo, Recent Advances and Future Directions

Simple Summary

Although rare, uveal melanoma (UM) is the most common cancer that develops inside adult eyes. The prognosis is poor, since 50% of patients will develop lethal metastases in the first decade, especially to the liver. Once metastases are detected, life expectancy is limited, given that the available treatments are mostly unsuccessful. Thus, there is a need to find methods that can accurately predict UM prognosis and also effective therapeutic strategies to treat this cancer. In this manuscript, we initially compile the current knowledge on epidemiological, clinical, pathological and molecular features of UM. Then, we cover the most relevant prognostic factors currently used for the evaluation and follow-up of UM patients. Afterwards, we highlight emerging molecular markers in UM published over the last three years. Finally, we discuss the problems preventing meaningful advances in the treatment and prognostication of UM patients, as well as forecast new roadblocks and paths of UM-related research.

Abstract

Uveal melanoma (UM) is the most common malignant intraocular tumour in the adult population. It is a rare cancer with an incidence of nearly five cases per million inhabitants per year, which develops from the uncontrolled proliferation of melanocytes in the choroid (≈90%), ciliary body (≈6%) or iris (≈4%). Patients initially present either with symptoms like blurred vision or photopsia, or without symptoms, with the tumour being detected in routine eye exams. Over the course of the disease, metastases, which are initially dormant, develop in nearly 50% of patients, preferentially in the liver. Despite decades of intensive research, the only approach proven to mildly control disease spread are early treatments directed to ablate liver metastases, such as surgical excision or chemoembolization. However, most patients have a limited life expectancy once metastases are detected, since there are limited therapeutic approaches for the metastatic disease, including immunotherapy, which unlike in cutaneous melanoma, has been mostly ineffective for UM patients. Therefore, in order to offer the best care possible to these patients, there is an urgent need to find robust models that can accurately predict the prognosis of UM, as well as therapeutic strategies that effectively block and/or limit the spread of the metastatic disease. Here, we initially summarized the current knowledge about UM by compiling the most relevant epidemiological, clinical, pathological and molecular data. Then, we revisited the most important prognostic factors currently used for the evaluation and follow-up of primary UM cases. Afterwards, we addressed emerging prognostic biomarkers in UM, by comprehensively reviewing gene signatures, immunohistochemistry-based markers and proteomic markers resulting from research studies conducted over the past three years. Finally, we discussed the current hurdles in the field and anticipated the future challenges and novel avenues of research in UM.

Conditional survival of uveal melanoma using The Cancer Genome Atlas (TCGA) classification (Simplified Version) in 1001 cases

PURPOSE

To understand conditional prognostic value of the Cancer Genome Atlas (TCGA) for uveal melanoma metastasis based on event-free survival at 1, 2, 3, 4, and 5 years.

METHODS

A retrospective study of eyes with uveal melanoma categorized according to TCGA and studied for nonconditional and conditional risks for metastasis at 5 and 10 years.

RESULTS

Of 1001 eyes with uveal melanoma, the nonconditional (standard, at presentation) 5-year/10-year metastatic rate was 18%/25%. The conditional 5-year/10-year metastatic rate (for those without metastasis at 2 years) revealed 10%/18% and the conditional 10-year metastatic rate (for those without metastasis at 5 years) revealed 9%. The TCGA categories included Group A (n = 486, 49%), B (n = 141, 14%), C (n = 260, 26%), and D (n = 114, 11%). The non-conditional 5-year/10-year metastatic rate revealed Group A (4%/6%), Group B (12%/20%), Group C (23%/49%), and Group D (60%/68%). The conditional 5-year/10-year metastatic rate (for those without metastasis at 2 years) revealed Group A (2%/5%), Group B (8%/18%), Group C (21%/40%), and Group D (38%/50%). The conditional 10-year metastatic rate (for those without metastasis at 5 years) revealed Group A (2%), Group B (10%), Group C (33%), and Group D (20%). The peak incidence of metastasis for Groups A and B occurred during years 5-6, C during years 4-6, and D during years 1-2.

CONCLUSION

Survival outcomes for uveal melanoma as non-conditional (at presentation) and conditional (event-free survival during follow-up) reveal reduction in metastatic rate over time. For those with 5-year metastasis-free survival, the 10-year conditional risk for metastasis was 9%.

Adding TCGA chromosome classes to AJCC system allows for more precise prognostication in uveal melanoma patients

PURPOSE

Uveal melanoma (UM) is a rare disease and the most common primary intraocular malignancy in adults, with a high risk of metastases. Reliable prognostication systems are based on anatomical features, as in the Tumor Node Metastasis / American Joint Committee on Cancer (TNM/AJCC) staging, or on genetic information, as in The Cancer Genome Atlas (TCGA) system. Prior evidence suggests that combining both systems may be beneficial. We evaluated the benefit of combining the TCGA and AJCC systems in a large cohort of patients.

DESIGN

Retrospective case series of UM patients.

PARTICIPANTS

979 patients with a choroidal/ciliary body melanoma treated at the Wills Eye Hospital between 1998 and 2020, 94% of whom received eye-sparing treatment.

METHODS

Tumors were classified into four TCGA groups based on chromosome copy number: A (disomy 3, normal 8q), B (disomy 3, any 8q gain), C (monosomy 3, one extra copy of 8q), D (monosomy 3, multiple 8q gain). The AJCC staging manual, 8th edition was used for AJCC staging. Cox regression and log-rank test were used for survival analysis.

MAIN OUTCOME MEASURE

Metastasis-free survival.

RESULTS

Combining information of the two systems improved prognostication in intermediate groups: in TCGA group C, we saw an increased rate of metastasis in AJCC stage III (28%) compared to stage II (8.9%); the same was seen in AJCC stage II, going from TCGA group C (8.9%) to group D (46%) and in AJCC stage III going from group C (28%) to group D (49%). In AJCC stage II or III patients, loss of chromosome 3 and gain of 8q (TCGA group C and D) significantly worsened the prognosis, with multiple 8q gain (TCGA group D) having a greater impact.

CONCLUSIONS

Combining information from AJCC stage and TCGA groups yields a better predictive power even in this set of relatively small tumors and we propose that physicians take both systems into account whenever possible, especially in moderate-risk groups.

Chromosome 3 and 8q aberrations in Uveal Melanoma show greater impact on survival in patients with light iris versus dark iris color

PURPOSE

Individuals with gray, blue, or green iris have a higher chance of developing uveal melanoma (UM) than those with brown eyes. We wondered whether iris pigmentation might not only be related to predisposition to UM, but also to its behavior and therefore compared clinical, histopathologic, and genetic characteristics of UM between eyes with different iris colors.

DESIGN

We determined iris color in a large cohort of patients who had undergone an enucleation for UM. Clinical and histopathological tumor characteristics, chromosome status, and survival were compared between three groups, based on iris color.

PARTICIPANTS

412 patients with choroidal/ciliary body UM, who had undergone primary enucleation at the Leiden University Medical Center (LUMC), Leiden, The Netherlands, between 1993 and 2019, divided into three groups, based on iris color (gray/blue, green/hazel, and brown). Validation cohort: 934 choroidal/ciliary body UM patients treated at Wills Eye Hospital (WEH), Philadelphia, United States.

METHODS

Comparison of clinical, histopathologic, and genetic characteristics of UM in patients with different iris colors.

MAIN OUTCOME MEASURES

Melanoma-related survival in UM patients, divided over three iris color groups, in relation to the tumor's chromosome 3 and 8q status.

RESULTS

Moderate and heavy tumor pigmentation was especially seen in eyes with brown iris (p < 0.001). Survival did not differ between patients with different iris colors (p = 0.28). However, in patients with a light iris, copy number changes in chromosome 3 and 8q had a greater influence on survival than in patients with a dark iris. Similarly, chromosome 3 and chromosome 8q status affected survival more among patients with lightly-pigmented tumors than in patients with heavily-pigmented tumors. The WEH cohort similarly showed a greater influence of chromosome aberrations in light-eyed individuals.

CONCLUSIONS

While iris color by itself did not relate to survival of UM patients, chromosome 3 and 8q aberrations had a much larger influence on survival in patients with light iris compared to those with brown iris. This suggests a synergistic effect of iris pigmentation and chromosome status in the regulation of oncogenic behavior of UM. Iris color should be taken into consideration when calculating the risk for developing metastases.