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Article

Novel Methylation Patterns Predict Outcome in Uveal Melanoma

1
Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada
2
Experimental Pathology Unit, Department of Pathology, McGill University, Montreal, QC H3A 0G4, Canada
3
Department of Oncology, McGill University, Montreal, QC H3A 0G4, Canada
*
Author to whom correspondence should be addressed.
Life 2020, 10(10), 248; https://doi.org/10.3390/life10100248
Received: 11 September 2020 / Revised: 14 October 2020 / Accepted: 16 October 2020 / Published: 20 October 2020
(This article belongs to the Special Issue Melanoma: Dark Tumor with Little Light for Metastasis Treatment)
Uveal melanoma (UM) is the most common intraocular tumor in adults. Despite effective local treatments, 50% of patients develop metastasis. Better ways to determine prognosis are needed as well as new therapeutic targets. Epigenetic changes are important events driving cancer progression; however, few studies exist on methylation changes in UM. Our aim was to identify methylation events associated with UM prognosis. Matched clinical, genetic, and methylation data for 80 UM cases were obtained from The Cancer Genome Atlas (TCGA). Top differentially methylated loci were sorted through hierarchical clustering based on methylation patterns, and these patterns were compared to tumor characteristics, genomic aberrations, and patient outcome. Hierarchical clustering revealed two distinct groups. These classifications effectively separated high and low-risk cases, with significant differences between groups in patient survival (p < 0.0001) and correlation with known prognostic factors. Major differences in methylation of specific genes, notably NFIA, HDAC4, and IL12RB2, were also seen. The methylation patterns identified in this study indicate potential novel prognostic indicators of UM and highlight the power of methylation changes in predicting outcome. The methylation events enriched in the high-risk group suggest that epigenetic modulating drugs may be useful in reducing metastatic potential, and that specific differentially methylated loci could act as biomarkers of therapeutic response. View Full-Text
Keywords: epigenetics; DNA methylation; uveal melanoma; BAP1; prognostic markers; metastasis epigenetics; DNA methylation; uveal melanoma; BAP1; prognostic markers; metastasis
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MDPI and ACS Style

Ferrier, S.T.; Burnier, J.V. Novel Methylation Patterns Predict Outcome in Uveal Melanoma. Life 2020, 10, 248. https://doi.org/10.3390/life10100248

AMA Style

Ferrier ST, Burnier JV. Novel Methylation Patterns Predict Outcome in Uveal Melanoma. Life. 2020; 10(10):248. https://doi.org/10.3390/life10100248

Chicago/Turabian Style

Ferrier, Sarah T., and Julia V. Burnier 2020. "Novel Methylation Patterns Predict Outcome in Uveal Melanoma" Life 10, no. 10: 248. https://doi.org/10.3390/life10100248

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