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Prognostic biomarkers can reliably stratify patients at initial melanoma diagnosis according to risk, and may inform clinical decisions. Here, we performed a retrospective, cohort-based study analyzing genome-wide DNA methylation of 461 patients with CM from the TCGA database. Cox regression analyses were conducted to establish a four-DNA methylation signature that was significantly associated with the overall survival (OS) of patients with CM, and that was validated in an independent cohort. Corresponding Kaplan\u2013Meier analysis displayed a distinct separation in OS. The ROC analysis confirmed that the predictive signature performed well. Notably, this signature exhibited much higher predictive accuracy in comparison with known biomarkers. This signature was significantly correlated with immune checkpoint blockade (ICB) immunotherapy-related signatures, and may have potential as a guide for measures of responsiveness to ICB immunotherapy.<\/jats:p>","DOI":"10.7554\/elife.44310","type":"journal-article","created":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T20:00:37Z","timestamp":1559592037000},"source":"Crossref","is-referenced-by-count":59,"title":["A four-DNA methylation biomarker is a superior predictor of survival of patients with cutaneous melanoma"],"prefix":"10.7554","volume":"8","author":[{"given":"Wenna","family":"Guo","sequence":"first","affiliation":[{"name":"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liucun","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Life Sciences, Shanghai University, Shanghai, 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