Screening of gene markers related to the prognosis of metastatic skin cutaneous melanoma based on Logit regression and survival analysis.

ABSTRACT:

Background

Bioinformatics was used to analyze the skin cutaneous melanoma (SKCM) gene expression profile to provide a theoretical basis for further studying the mechanism underlying metastatic SKCM and the clinical prognosis.

Methods

We downloaded the gene expression profiles of 358 metastatic and 102 primary (nonmetastatic) CM samples from The Cancer Genome Atlas (TCGA) database as a training dataset and the GSE65904 dataset from the National Center for Biotechnology Information database as a validation dataset. Differentially expressed genes (DEGs) were screened using the limma package of R3.4.1, and prognosis-related feature DEGs were screened using Logit regression (LR) and survival analyses. We also used the STRING online database, Cytoscape software, and Database for A

SUBMITTER: Jia G 

PROVIDER: S-EPMC8022370 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature