Characterization of prognostic signature related with twelve types of programmed cell death in lung squamous cell carcinoma.

ABSTRACT:

Objective

This study aimed to develop a prognostic cell death index (CDI) based on the expression of genes related with various types of programmed cell death (PCD), and to assess its clinical relevance in lung squamous cell carcinoma (LUSC).

Methods

PCD-related genes were gathered and analyzed in silico using the transcriptomic data from the LUSC cohorts of The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC). Differentially expressed PCD genes were analyzed, and a prognostic model was subsequently constructed. CDI scores were calculated for each patient, and their correlations with clinical features, survival outcomes, tumor mutation burden, gene clusters, and tumor microenvironment were investigated. Unsupervised consensus clustering was

SUBMITTER: Li S 

PROVIDER: S-EPMC11443789 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature