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Dataset Information

Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients.


ABSTRACT:

Background

Ferroptosis is a novel form of regulated cell death that plays a critical role in tumorigenesis. The purpose of this study was to establish a ferroptosis-associated gene (FRG) signature and assess its clinical outcome in gastric cancer (GC).

Methods

Differentially expressed FRGs were identified using gene expression profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were performed to construct a prognostic signature. The model was validated using an independent GEO dataset, and a genomic-clinicopathologic nomogram integrating risk scores and clinicopathological features was established.

Results

An 8-FRG signature was construct

SUBMITTER: Liu G 

PROVIDER: S-EPMC8274920 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature