Modular signature of long non-coding RNA association networks as a prognostic biomarker in lung cancer.

ABSTRACT:

Background

Increasing amount of long non-coding RNAs (lncRNAs) have been found involving in many biological processes and played salient roles in cancers. However, up until recently, functions of most lncRNAs in lung cancer have not been fully discovered, particularly in the co-regulated lncRNAs. Thus, this study aims to investigate roles of lncRNA modules and uncover a module-based biomarker in lung adenocarcinoma (LUAD).

Results

We used gene expression profiles from The Cancer Genome Atlas (TCGA) to construct the lncRNA association networks, from which the highly-associated lncRNAs are connected as modules. It was found that the expression of some modules is significantly associated with patient's survival, including module N1 (HR = 0.62, 95% CI = 0.46-0.84, p = 0.00189);

SUBMITTER: Li A 

PROVIDER: S-EPMC8650235 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature