Unknown

Dataset Information

Establishment and validation of the prognostic risk model based on the anoikis-related genes in esophageal squamous cell carcinoma.


ABSTRACT:

Background

Esophageal squamous cell carcinoma (ESCC) is a malignant condition in humans. Anoikis-related genes (ARGs) are crucial to cancer progression. Therefore, more studies on the relationship between ARGs and ESCC are warranted.

Methods

The study acquired ESCC-related transcriptome data from TCGA. Differentially expressed ARGs (DE-ARGs) were obtained by differential analysis and candidates were filtered out by survival analysis. Prognostic genes were determined by Cox and LASSO regression. A risk model was constructed based on prognostic gene expressions. An immune infiltration study was done to explain how these genes contribute to ESCC development. The IC50 test was adopted to assess the clinical response of chemotherapy drugs. Single cell analysis was performed on th

SUBMITTER: Cao S 

PROVIDER: S-EPMC11504171 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature