A novel autophagy‐related lncRNA survival model for lung adenocarcinoma

Long non‐coding RNA (lncRNA) is an important regulatory factor in the development of lung adenocarcinoma, which is related to the control of autophagy. LncRNA can also be used as a biomarker of prognosis in patients with lung adenocarcinoma. Therefore, it is important to determine the prognostic val...

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Bibliographic Details
Published in:Journal of cellular and molecular medicine Vol. 25; no. 12; pp. 5681 - 5690
Main Authors: Wu, Liwei, Wen, Zilu, Song, Yanzheng, Wang, Lin
Format: Journal Article
Language:English
Published: England John Wiley & Sons, Inc 01.06.2021
John Wiley and Sons Inc
Subjects:
Adenocarcinoma
Autophagy
Calibration
Gene expression
Gene set enrichment analysis
Genomes
long non‐coding RNA (lncRNA)
lung adenocarcinoma (LUAD)
Lung cancer
Lungs
Medical prognosis
Mortality
Non-coding RNA
Original
Patients
Phagocytosis
Physiology
Prognosis
Regression analysis
Risk groups
Software
Survival
Survival analysis
The Cancer Genome Atlas (TCGA)
Therapeutic targets
autophagy
lung adenocarcinoma (LUAD)
long non-coding RNA (lncRNA)
The Cancer Genome Atlas (TCGA)
survival
ISSN:1582-1838, 1582-4934, 1582-4934
Online Access:Get full text
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Summary:Long non‐coding RNA (lncRNA) is an important regulatory factor in the development of lung adenocarcinoma, which is related to the control of autophagy. LncRNA can also be used as a biomarker of prognosis in patients with lung adenocarcinoma. Therefore, it is important to determine the prognostic value of autophagy‐related lncRNA in lung adenocarcinoma. In this study, autophagy‐related mRNAs‐lncRNAs were screened from lung adenocarcinoma and a co‐expression network of autophagy‐related mRNAs‐lncRNAs was constructed by using The Cancer Genome Atlas (TCGA). The univariate and multivariate Cox proportional hazard analyses were used to evaluate the prognostic value of the autophagy‐related lncRNAs and finally obtained a survival model composed of 11 autophagy‐related lncRNAs. Through Kaplan‐Meier analysis, univariate and multivariate Cox regression analysis and time‐dependent receiver operating characteristic (ROC) curve analysis, it was further verified that the survival model was a new independent prognostic factor for patients with lung adenocarcinoma. In addition, based on the survival model, gene set enrichment analysis (GSEA) was used to illustrate the function of genes in low‐risk and high‐risk groups. These 11 lncRNAs were GAS6‐AS1, AC106047.1, AC010980.2, AL034397.3, NKILA, AL606489.1, HLA‐DQB1‐AS1, LINC01116, LINC01806, FAM83A‐AS1 and AC090559.1. The hazard ratio (HR) of the risk score was 1.256 (1.196‐1.320) (P < .001) in univariate Cox regression analysis and 1.215 (1.149‐1.286) (P < .001) in multivariate Cox regression analysis. And the AUC value of the risk score was 0.809. The 11 autophagy‐related lncRNA survival models had important predictive value for the prognosis of lung adenocarcinoma and may become clinical autophagy‐related therapeutic targets.
Bibliography:Funding information
This research was supported by a grant from the Thirteen‐Fifth Mega‐Scientific Project on ‘prevention and treatment of AIDS, viral hepatitis and other infectious diseases’ (grant no. 2017ZX10201301‐003‐002)
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ISSN:1582-1838
1582-4934
1582-4934
DOI:10.1111/jcmm.16582