Prognostic value and immune landscapes of anoikis-associated lncRNAs in lung adenocarcinoma.

ABSTRACT:

Background

Methods for predicting the outcome of lung adenocarcinoma (LUAD) in the clinic are limited. Anoikis is an important route to programmed cell death in LUAD, and the prognostic value of a model constructed with anoikis-related lncRNAs (ARlncRNAs) in LUAD is unclear.

Methods

Transcriptome and basic information for LUAD patients was obtained from the Cancer Genome Atlas. Coexpression and Cox regression analyses were utilized to identify prognostically significant ARlncRNAs and construct a prognostic signature. Furthermore, the signature was combined with clinical characteristics to create a nomogram. Finally, we performed principal component, enrichment, tumor mutation burden (TMB), tumor microenvironment (TME) and drug sensitivity analyses to evaluate the basic resea

SUBMITTER: Wu B 

PROVIDER: S-EPMC10911388 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature