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.
Molecular signatures specific to particular tumor types are required to design treatments for resistant tumors.,However, it remains unclear whether tumors and corresponding cell lines used for drug development share such signatures.,We developed similarity core analysis (SCA), a universal and unsupervised computational framework for extracting core molecular features common to tumors and cell lines.,We applied SCA to mRNA/miRNA expression data from various sources, comparing melanoma cell lines and metastases.,The signature obtained was associated with phenotypic characteristics in vitro, and the core genes CAPN3 and TRIM63 were implicated in melanoma cell migration/invasion.,About 90% of the melanoma signature genes belong to an intrinsic network of transcription factors governing neural development (TFAP2A, DLX2, ALX1, MITF, PAX3, SOX10, LEF1, and GAS7) and miRNAs (211-5p, 221-3p, and 10a-5p).,The SCA signature effectively discriminated between two subpopulations of melanoma patients differing in overall survival, and classified MEKi/BRAFi-resistant and -sensitive melanoma cell lines.,Cancer cell lines are at the forefront of drug discovery but are often limited in representing the tumor of origin due to the artificial culture conditions.,Rambow et al. develop a computational approach for identifying tumor cell lineage expression cores.,These core genes reveal relevant molecular dependencies linking aggressiveness, patient survival, and drug sensitivity.