A Four-Gene-Based Prognostic Model Predicts Overall Survival in Patients With Cutaneous Melanoma.

ABSTRACT:

Background

Cutaneous melanoma (CM) is one of the most aggressive cancers with highly metastatic ability. To make things worse, there are limited effective therapies to treat advanced CM. Our study aimed to investigate new biomarkers for CM prognosis and establish a novel risk score system in CM.

Methods

Gene expression data of CM from Gene Expression Omnibus (GEO) datasets were downloaded and analyzed to identify differentially expressed genes (DEGs). The overlapped DEGs were then verified for prognosis analysis by univariate and multivariate COX regression in The Cancer Genome Atlas (TCGA) datasets. Based on the gene signature of multiple survival associated DEGs, a risk score model was established, and its prognostic and predictive role was estimated through Kaplan-Meier (

SUBMITTER: Tong X 

PROVIDER: S-EPMC8024561 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature