Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma

PeerJ

article

Jie Zhu¹  Min Wang²  Daixing Hu³ 

[1] Department of Intensive Care Unit, The People’s Hospital of Tongliang District;Department of Respiratory and Geriatrics, Chongqing Public Health Medical Center;Department of Urology, The First Affiliated Hospital of Chongqing Medical University

关键词: Autophagy;    Prognostic signature;    TCGA;    Lung adenocarcinoma;    Lung squamous cell carcinoma;   

DOI  :  10.7717/peerj.8288

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

PurposeThere is plenty of evidence showing that autophagy plays an important role in the biological process of cancer. The purpose of this study was to establish a novel autophagy-related prognostic marker for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC).MethodsThe mRNA microarray and clinical data in The Cancer Genome Atlas (TCGA) were analyzed by using a univariate Cox proportional regression model to select candidate autophagy-related prognostic genes. Bioinformatics analysis of gene function using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) platforms was performed. A multivariate Cox proportional regression model helped to develop a prognostic signature from the pool of candidate genes. On the basis of this prognostic signature, we could divide LUAD and LUSC patients into high-risk and low-risk groups. Further survival analysis demonstrated that high-risk patients had significantly shorter disease-free survival (DFS) than low-risk patients. The signature which contains six autophagy-related genes (EIF4EBP1, TP63, BNIP3, ATIC, ERO1A and FADD) showed good performance for predicting the survival of LUAD and LUSC patients by having a better Area Under Curves (AUC) than other clinical parameters. Its efficacy was also validated by data from the Gene Expression Omnibus (GEO) database.ConclusionCollectively, the prognostic signature we proposed is a promising biomarker for monitoring the outcomes of LUAD and LUSC.

【 授权许可】

CC BY