Chromosome instability‐associated prognostic signature and cluster investigation for cutaneous melanoma cases

Abstract

Abstract Chromosomal instability (CIN) is closely associated to the early detection of several clinical tumours. In this study, the authors first established a novel prognostic model of melanoma using the hub genes of CIN, based on the datasets of The cancer genome atlas‐skin cutaneous melanoma (TCGA‐SKCM) and GSE65904 cohorts. Based on the risk scores of our model, the disease‐specific survival (DSS) prognosis was worse in the high‐risk group. Combining risk score, stage, age, ulceration, and clark factors, a Nomogram was generated to predict 1, 3, 5‐year survival rates, which indicated a good clinical validity. Our finding also showed a correlation between high/low risk and tumour infiltration levels of ‘activated CD8 T cells’ and ‘effector memory CD8 T cells’. Moreover, the authors first performed a CIN‐based tumour clustering analysis using TCGA‐SKCM cases, and identified two melanoma clusters, which exhibit the distinct DSS prognosis and the tumour‐infiltrating levels of CD8 T cells. Taken together, a promising CIN‐related prognostic signature and clustering for melanoma cases were first established in our study.

Keywords

• cancer
• genetics
• pattern clustering