Uncovering molecular features driving lung adenocarcinoma heterogeneity in patients who formerly smoked.

ABSTRACT:

Background

An increasing proportion of lung adenocarcinoma (LUAD) occurs in patients even after they have stopped smoking. Here, we aimed to determine whether tobacco smoking induced changes across LUADs from patients who formerly smoked correspond to different biological and clinical factors.

Methods

Random forest models (RFs) were trained utilizing a smoking associated signature developed from differentially expressed genes between LUAD patients who had never smoked (NS) or currently smoked (CS) from TCGA (n = 193) and BCCA (n = 69) cohorts. The RFs were subsequently applied to 299 and 131 formerly smoking patients from TCGA and MSKCC cohorts, respectively. FS were RF-classified as either CS-like or NS-like and associations with patient characteristics, biological features

SUBMITTER: Wang P 

PROVIDER: S-EPMC11229340 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature