Construction of a multigenic diagnostic, prognostic, and immune infiltration model with methylation-associated regulators in esophageal squamous cell carcinoma.

ABSTRACT:

Background

Methylation-related regulators may be involved in the prognostic prediction of esophageal squamous cell carcinoma (ESCC). Our study aimed to apply bioinformatics to screen methylation-related regulators for the construction of a prognostic model for patients with ESCC and to assess their diagnostic value and correlation with immune infiltration.

Methods

Prognosis-related genes were identified from The Cancer Genome Atlas (TCGA) database. Methylation-associated genes were filtered using the GeneCards database. We used the least absolute shrinkage and selection operator (LASSO) and Cox proportional hazards regression to identify the prognostic indicators. We applied the single-sample gene set enrichment analysis (ssGSEA) to clarify the relationship between prognosti

SUBMITTER: Liu X 

PROVIDER: S-EPMC12090105 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature