Intratumor heterogeneity related signature for clinical outcome and immunotherapy advantages in lung adenocarcinoma.

ABSTRACT:

Background

Immunotherapy benefits shows discrepancy in different lung adenocarcinoma (LUAD) patients because of the intratumor heterogeneity (ITH). ITH favors tumor evolution and correlated with drug resistance. The genes mediating ITH in LUAD and their role in predicting prognosis and therapy benefits is unclear.

Methods

An ITH-related signature (IRS) was built by ten methods-based integrative machine learning programs using TCGA, GSE68571, GSE42127, GSE30129, GSE50081, GSE72094, GSE37745, GSE68467, and GSE31210 dataset. To assess the relationship between IRS and the tumor immune microenvironment, numerous prediction scores were employed.

Results

The optimal predictive signature for LUAD cases was the IRS developed using Lasso + stepCox(both) method, which had the hi

SUBMITTER: Zuo Y 

PROVIDER: S-EPMC11954763 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature