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Dataset Information

Integrative analysis of multiple cell death model for precise prognosis and drug response prediction in gastric cancer.


ABSTRACT:

Background

Gastric cancer (GC) is a common upper gastrointestinal tumor. However, the evaluation of prognosis and treatment response in patients with gastric cancer remains a challenge. Programmed cell death (PCD) is one of the important terminal paths for the cells of metazoans, and is involved in a variety of biological events that include morphogenesis, maintenance of tissue homeostasis, and elimination of harmful cells. The objective of this project is to investigate the predictive significance of cell death pathways and create prognostic signatures associated to cell death, with the purpose of forecasting prognosis and providing guidance for the treatment of gastric cancer.

Methods

Gene transcription profiles and corresponding clinical data of gastric cancer patients we

SUBMITTER: Su W 

PROVIDER: S-EPMC11461726 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature