Immunotherapy with PD-1 antibodies has greatly increased prognosis of patients with advanced melanoma.,Identifying biomarkers that predict overall survival (OS) and response to immunotherapy is important.,OS and best overall response according to RECIST version 1.1 were analysed, and S100B and lactate dehydrogenase (LDH) serum levels were assessed retrospectively in 152 patients treated with anti-PD-1, and in 86 patients treated with anti-PD-1 plus anti-CTLA-4 antibodies at University Hospital Tuebingen, Germany.,In the pembrolizumab group, patients with elevated baseline S100B or LDH exhibited significantly impaired OS compared with patients with normal S100B (1-year OS: 51.1% vs 83.1%, log-rank P < .0001) and normal LDH (1-year OS: 44.4% vs 80.8%, P = .00022), respectively.,LDH increases of >25% and S100B increases of >145% compared to baseline were significantly associated with impaired OS (both P < .0001).,In patients treated with ipilimumab and nivolumab, baseline S100B and increasing S100B levels of >145% as well as baseline LDH were associated with impaired OS (P < .0001, P = .00060, and P = .0050, respectively), whereas increasing LDH of >25% was not (P = .64).,S100B could serve as a strong baseline marker for OS in melanoma patients receiving anti-PD-1 therapy.,Rising S100B levels during the first weeks of therapy could help guide treatment decisions.
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.