An immune-relevant signature of nine genes as a prognostic biomarker in patients with gastric carcinoma.

ABSTRACT:

Background

As one of the most common malignant tumors worldwide, the morbidity and mortality of gastric carcinoma (GC) are gradually increasing. The aim of this study was to construct a signature according to immune-relevant genes to predict the survival outcome of GC patients using The Cancer Genome Altas (TCGA).

Methods

Univariate Cox regression analysis was used to assess the relationship between immune-relevant genes regarding the prognosis of patients with GC. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used to select prognostic immune-relevant genes and to establish the signature for the prognostic evaluation of patients with GC. Multivariate Cox regression analysis and Kaplan-Meier survival analysis were used to assess the inde

SUBMITTER: Wang B 

PROVIDER: S-EPMC7718618 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature