Identification of prognostic indicator based on hypoxia-related lncRNAs analysis in lung adenocarcinoma

Abstract

Introduction
There were no systematic studies about hypoxia-related long noncoding RNAs (lncRNAs) signatures to predict the survival of patients with lung adenocarcinoma (LUAD). Setting up matching hypoxia-related lncRNA signatures was necessary.
Objective
This study aimed to establish hypoxia-related lncRNAs signatures and to seek new biomarkers to predict the prognosis of the patients with lung adenocarcinoma.
Methodology
The Cancer Genome Atlas (TCGA) database provided the expression profiles of lncRNAs that includes 535 lung adenocarcinoma samples. The coexpression network of lncRNAs and hypoxia-related different expression genes (DEGs) was utilized to select hypoxia-related lncRNAs. The lncRNAs were further screened using univariate Cox regression. In addition, Lasso regression and multivariate Cox regression were used to develop a hypoxia-related lncRNAs signature. A risk score based on the signature was established, and Cox regression was used to test if it was an independent prognostic factor.
Results
Nine prognostic hypoxia-related lncRNAs (LINC01150, AC010980.2, AL606489.1, AL034397.3, LINC00460, LINC02081, FAM83A-AS1, AL365181.2, and AC026355.1) were identified to be significantly different, which made up a hypoxia-related lncRNAs signature. The high-risk group had shorter OS compared with the low-risk group (P = 3.329e − 09, log-rank test). A risk score based on the signature was a significantly independent factor for the patients with LUAD (HR = 1.449, 95% CI = 1.312 − 1.602, P < 0.001).
Conclusion
The nine hypoxia-related lncRNAs and their signature might be molecular biomarkers and therapeutic targets for the patients with LUAD.