Development of six immune-related lncRNA signature prognostic model for smoking-positive lung adenocarcinoma.

ABSTRACT:

Background

Smoking is one of the most hazardous risk factors for the development of lung adenocarcinoma (LUAD). Many survival and prognosis-related biomarkers were discovered using database mining. However, the precision of immune-related long noncoding RNAs (lncRNAs) predictions is insufficient. We identified a novel signature to improve the estimate of smoking-related LUAD prognosis.

Methods

The Cancer Genome Atlas database (TCGA) was used to obtain the LUAD lncRNA expression profiles. The smoking-related LUAD cohort was randomly split into discovery and validation cohorts. To determine the risk score, use the LASSO Cox regression technique on the prognostic immune-related lncRNA. The risk signature has been developed.

Results

A total of 643 immune-related lncRNAs w

SUBMITTER: Zhou D 

PROVIDER: S-EPMC9169227 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature