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Dataset Information

The role of senescence genes in the treatment, prognosis, and tumor microenvironment of gastric cancer.


ABSTRACT:

Aim

Gastric cancer (GC) has a high incidence and poor prognosis. Senescence genes are suggested to participate in immune cell infiltration, thus affecting the immunotherapy of GC. In this research, we established a senescence-related GC model to explore and verify the role of senescence genes in the prognosis, treatment, and tumor microenvironment (TME) of GC.

Methods

The TCGA GC (TCGA-STAD) dataset was used to screen key senescence genes from differentially expressed genes (DEGs). A prognostic risk model was trained utilizing the TCGA-STAD dataset and validated using an external GEO dataset. The CIBERSORT algorithm was run to explore the relationship between senescence genes and TME. The chemotherapy drug sensitivities in GC patients were calculated utilizing R package pRRo

SUBMITTER: Xuan J 

PROVIDER: S-EPMC10767519 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature