Unknown

Dataset Information

Development and validation of an oxidative stress-associated prognostic risk model for melanoma.


ABSTRACT:

Background

Oxidative stress (OS) is key to various diseases and is implicated in cancer progression and oncogenesis. However, the potential diagnostic value of OS-related genes in skin cutaneous melanoma (SKCM) remains unclear.

Methods

We used data of RNA sequencing from 471 tumor tissues and one healthy tissue acquired from The Cancer Genome Atlas (TCGA)-SKCM cohort. The Genome Tissue Expression database was used to acquire transcriptome data from 812 healthy samples. OS-related genes that were differentially expressed between SKCM and healthy samples were investigated and 16 prognosis-associated OS genes were identified. The prognostic risk model was built using univariate and Cox multivariate regressions. The prognostic value of the hub genes was validated in the GSE65904

SUBMITTER: Yang Y 

PROVIDER: S-EPMC8063880 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature