Uveal melanoma is the most common primary malignant tumor of the eye in adults, predominantly found in Caucasians.,Local tumor control of uveal melanoma is excellent, yet this malignancy is associated with relatively high mortality secondary to metastasis.,Various clinical, histopathological, cytogenetic features and gene expression features help in estimating the prognosis of uveal melanoma.,The clinical features associated with poor prognosis in patients with uveal melanoma include older age at presentation, male gender, larger tumor basal diameter and thickness, ciliary body location, diffuse tumor configuration, association with ocular/oculodermal melanocytosis, extraocular tumor extension, and advanced tumor staging by American Joint Committee on Cancer classification.,Histopathological features suggestive of poor prognosis include epithelioid cell type, high mitotic activity, higher values of mean diameter of ten largest nucleoli, higher microvascular density, extravascular matrix patterns, tumor-infiltrating lymphocytes, tumor-infiltrating macrophages, higher expression of insulin-like growth factor-1 receptor, and higher expression of human leukocyte antigen Class I and II.,Monosomy 3, 1p loss, 6q loss, and 8q and those classified as Class II by gene expression are predictive of poor prognosis of uveal melanoma.,In this review, we discuss the prognostic factors of uveal melanoma.,A database search was performed on PubMed, using the terms “uvea,” “iris,” “ciliary body,” “choroid,” “melanoma,” “uveal melanoma” and “prognosis,” “metastasis,” “genetic testing,” “gene expression profiling.”,Relevant English language articles were extracted, reviewed, and referenced appropriately.
We characterized the mutational landscape of human skin cutaneous melanoma (SKCM) using data obtained from The Cancer Genome Atlas (TCGA) project.,We analyzed next-generation sequencing data of somatic copy number alterations and somatic mutations in 303 metastatic melanomas.,We were able to confirm preeminent drivers of melanoma as well as identify new melanoma genes.,The TCGA SKCM study confirmed a dominance of somatic BRAF mutations in 50% of patients.,The mutational burden of melanoma patients is an order of magnitude higher than of other TCGA cohorts.,A multi-step filter enriched somatic mutations while accounting for recurrence, conservation, and basal rate.,Thus, this filter can serve as a paradigm for analysis of genome-wide next-generation sequencing data of large cohorts with a high mutational burden.,Analysis of TCGA melanoma data using such a multi-step filter discovered novel and statistically significant potential melanoma driver genes.,In the context of the Pan-Cancer study we report a detailed analysis of the mutational landscape of BRAF and other drivers across cancer tissues.,Integrated analysis of somatic mutations, somatic copy number alterations, low pass copy numbers, and gene expression of the melanogenesis pathway shows coordination of proliferative events by Gs-protein and cyclin signaling at a systems level.