Identification and characterization of survival-dependent genes in esophageal cancer via the DepMap database: unraveling their association with immune infiltration.

ABSTRACT:

Background

Esophageal cancer ranks as the 11th most diagnosed cancer worldwide and the 7th leading cause of cancer-related deaths, mainly due to late-stage diagnosis. Identifying novel biomarkers is essential for enhancing prognostic evaluations and targeting patients for immunotherapy.

Methods

We used the DepMap database to identify survival-dependent genes in esophageal carcinoma cells. A prognostic model was developed using univariate and multivariate Cox regression and LASSO, validated with the GEO dataset. WGCNA and GSEA analyses were conducted to explore mechanisms, alongside ESTIMATE and ssGSEA for prognosis.

Results

We constructed a novel four-gene prognostic signature (CPSF6, IGBP1, MTG2, TCP1) based on SDG expression and survival data. This signature stratif

SUBMITTER: Yao X 

PROVIDER: S-EPMC12183143 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature