Identification of anoikis-related long non-coding RNA signature as a novel prognostic model in lung adenocarcinoma.

ABSTRACT:

Background

Anoikis, as a specific form of programmed cell death, involves in tumor metastasis. However, there is still lacking of anoikis-related long non-coding RNA (lncRNA) risk signature in the diagnosis and prognosis of lung adenocarcinoma (LUAD). This study constructed a prognostic risk model by comprehensively analyzing anoikis-related lncRNAs which could effectively diagnose and predict the outcomes of LUAD patients.

Methods

A list of anoikis-related genes (ARGs) was retrieved from literatures. Anoikis-related lncRNAs were selected using co-expression analysis from The Cancer Genome Atlas (TCGA) database. Univariate and multivariate regression analyses were used to construct a prognostic model. The performance of the risk signature in predicting the prognosis and clin

SUBMITTER: Fang X 

PROVIDER: S-EPMC11543027 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature