Development and validation of a 16-gene T-cell- related prognostic model in non-small cell lung cancer.

ABSTRACT:

Background

Non-small cell lung cancer (NSCLC) exhibits variable T-cell responses, influencing prognosis and outcomes.

Methods

We analyzed 1,027 NSCLC and 108 non-cancerous samples from TCGA using ssGSEA, WGCNA, and differential expression analysis to identify T-cell-related subtypes. A prognostic model was constructed using LASSO Cox regression and externally validated with GEO datasets (GSE50081, GSE31210, GSE30219). Immune cell infiltration and drug sensitivity were assessed. Gene expression alterations were validated in NSCLC tissues using qRT-PCR.

Results

A 16-gene prognostic model (LATS2, LDHA, CKAP4, COBL, DSG2, MAPK4, AKAP12, HLF, CD69, BAIAP2L2, FSTL3, CXCL13, PTX3, SMO, KREMEN2, HOXC10) was established based on their strong association with T-cell activity an

SUBMITTER: Zhang A 

PROVIDER: S-EPMC12009871 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature