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Dataset Information

Five EMT-related genes signature predicts overall survival and immune environment in microsatellite instability-high gastric cancer.


ABSTRACT:

Background

Microsatellite instability-high (MSI-H) subgroup of gastric cancer (GC) is characterized by a high tumor mutational burden, increased lymphocytic infiltration, and enhanced inflammatory cytokines. GC patients with MSI-H status have a good response to immune checkpoint blockade management. However, heterogeneity within the subtype and the underlying mechanisms of shaping tumor microenvironments remain poorly understood.

Methods

RNA expression levels and clinical parameters of GC were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The data were analyzed using single-sample Gene Set Enrichment Analysis (ssGSEA), univariate Cox regression, multivariate Cox regression, and Least Absolute Shrinkage Selection Operator (LASSO) re

SUBMITTER: Zhang M 

PROVIDER: S-EPMC9883573 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature