Construction and Validation of a Ferroptosis-Related Prognostic Model for Gastric Cancer.

ABSTRACT:

Background

Gastric cancer (GC), an extremely aggressive tumor with a very different prognosis, is the third leading cause of cancer-related mortality. We aimed to construct a ferroptosis-related prognostic model that can be distinguished prognostically.

Methods

The gene expression and the clinical data of GC patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database (GEO). The ferroptosis-related genes were obtained from the FerrDb. Using the "limma" R package and univariate Cox analysis, ferroptosis-related genes with differential expression and prognostic value were identified in the TCGA cohort. Last absolute shrinkage and selection operator (LASSO) Cox regression was applied to shrink ferroptosis-related predictors and construct a p

SUBMITTER: Jiang X 

PROVIDER: S-EPMC7937463 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature