Identification of a novel anoikis-related gene signature to predict prognosis and tumor microenvironment in lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the most prevalent histotype of non-small cell lung cancer. Anoikis, an alternative form of programmed cell death, plays a pivotal role in cancer invasion and metastasis, preventing the detached cancer cells from readhering to other substrates for abnormal proliferation. The aim of this study was to conduct a comprehensive analyses of the prognostic implications of anoikis-related genes (ARGs) in LUAD.

Methods

ARGs were selected from The Cancer Genome Atlas (TCGA) database and Genecards dataset using differential expression analysis. The signature incorporating ARGs was identified using univariate Cox regression analysis and LASSO regression analysis. Furthermore, a nomogram containing the signature and clinical information was develo

SUBMITTER: Diao X 

PROVIDER: S-EPMC9870742 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature