Identification of an eight-gene prognostic signature for lung adenocarcinoma

Shicheng Li,1,* Yunpeng Xuan,1,* Bing Gao,2 Xiao Sun,1 Shuncheng Miao,1 Tong Lu,1 Yuanyong Wang,1 Wenjie Jiao1 1Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China; 2School of Basic Medicine, Qingdao University, Qingdao, China *These authors contributed equally...

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Main Authors: Li S, Xuan Y, Gao B, Sun X, Miao S, Lu T, Wang Y, Jiao W
Format: Article
Language:English
Published: Dove Medical Press 2018-09-01
Series:Cancer Management and Research
Subjects:
Online Access:https://www.dovepress.com/identification-of-an-eight-gene-prognostic-signature-for-lung-adenocar-peer-reviewed-article-CMAR
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spelling doaj-art-2449aa60f11d429ca0acb9bcefb48d9a2018-09-12T01:49:19ZengDove Medical PressCancer Management and Research1179-13222018-09-01Volume 103383339240469Identification of an eight-gene prognostic signature for lung adenocarcinomaLi SXuan YGao BSun XMiao SLu TWang YJiao WShicheng Li,1,* Yunpeng Xuan,1,* Bing Gao,2 Xiao Sun,1 Shuncheng Miao,1 Tong Lu,1 Yuanyong Wang,1 Wenjie Jiao1 1Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China; 2School of Basic Medicine, Qingdao University, Qingdao, China *These authors contributed equally to this work Background: Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. The main obstacle to early diagnosis or monitoring of patients at high risk of poor survival has been the lack of essential predictive biomarkers.Methods: RNA-sequencing was performed on LUAD affected tissue and paired adjacent to noncancerous tissue samples and Gene Expression Omnibus dataset GSE19188 and GSE33532 were used to obtain an intersection of differential expressed genes and construct a protein–protein interaction network to get hub genes. Then corresponding overall survival information of two cohorts of LUAD patients from our hospital and The Cancer Genome Atlas project-LUAD were included in the present study. An analysis of the Kyoto Encyclopedia of Genes and Genomes database and Gene Ontology were carried out to study the signature mechanism.Results: In our study, we identified eight candidate genes (DLGAP5, KIF11, RAD51AP1, CCNB1, AURKA, CDC6, OIP5 and NCAPG) closely related to survival in LUAD. A linear prognostic model of the eight genes was constructed and weighted by the regression coefficient (β) from the multivariate Cox regression analysis of The Cancer Genome Atlas-LUAD cohort to divide patients into low- and high-risk groups. The prognostic ability of the signature was validated in LUAD patients at our hospital. Patients assigned to the high-risk group exhibited poor overall survival compared to patients in the low-risk group. Finally, functional enrichment analysis showed that cell division played a vital role in the development of LUAD.Conclusion: The study identified an mRNA signature including eight genes, which may serve as a potential prognostic marker of LUAD. Keywords: RNA-seq, prognostic, signature, lung adenocarcinomahttps://www.dovepress.com/identification-of-an-eight-gene-prognostic-signature-for-lung-adenocar-peer-reviewed-article-CMARRNA-SeqPrognosticSignatureLung adenocarcinoma
institution Open Data Bank
collection Open Access Journals
building Directory of Open Access Journals
language English
format Article
author Li S
Xuan Y
Gao B
Sun X
Miao S
Lu T
Wang Y
Jiao W
spellingShingle Li S
Xuan Y
Gao B
Sun X
Miao S
Lu T
Wang Y
Jiao W
Identification of an eight-gene prognostic signature for lung adenocarcinoma
Cancer Management and Research
RNA-Seq
Prognostic
Signature
Lung adenocarcinoma
author_facet Li S
Xuan Y
Gao B
Sun X
Miao S
Lu T
Wang Y
Jiao W
author_sort Li S
title Identification of an eight-gene prognostic signature for lung adenocarcinoma
title_short Identification of an eight-gene prognostic signature for lung adenocarcinoma
title_full Identification of an eight-gene prognostic signature for lung adenocarcinoma
title_fullStr Identification of an eight-gene prognostic signature for lung adenocarcinoma
title_full_unstemmed Identification of an eight-gene prognostic signature for lung adenocarcinoma
title_sort identification of an eight-gene prognostic signature for lung adenocarcinoma
publisher Dove Medical Press
series Cancer Management and Research
issn 1179-1322
publishDate 2018-09-01
description Shicheng Li,1,* Yunpeng Xuan,1,* Bing Gao,2 Xiao Sun,1 Shuncheng Miao,1 Tong Lu,1 Yuanyong Wang,1 Wenjie Jiao1 1Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China; 2School of Basic Medicine, Qingdao University, Qingdao, China *These authors contributed equally to this work Background: Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. The main obstacle to early diagnosis or monitoring of patients at high risk of poor survival has been the lack of essential predictive biomarkers.Methods: RNA-sequencing was performed on LUAD affected tissue and paired adjacent to noncancerous tissue samples and Gene Expression Omnibus dataset GSE19188 and GSE33532 were used to obtain an intersection of differential expressed genes and construct a protein–protein interaction network to get hub genes. Then corresponding overall survival information of two cohorts of LUAD patients from our hospital and The Cancer Genome Atlas project-LUAD were included in the present study. An analysis of the Kyoto Encyclopedia of Genes and Genomes database and Gene Ontology were carried out to study the signature mechanism.Results: In our study, we identified eight candidate genes (DLGAP5, KIF11, RAD51AP1, CCNB1, AURKA, CDC6, OIP5 and NCAPG) closely related to survival in LUAD. A linear prognostic model of the eight genes was constructed and weighted by the regression coefficient (β) from the multivariate Cox regression analysis of The Cancer Genome Atlas-LUAD cohort to divide patients into low- and high-risk groups. The prognostic ability of the signature was validated in LUAD patients at our hospital. Patients assigned to the high-risk group exhibited poor overall survival compared to patients in the low-risk group. Finally, functional enrichment analysis showed that cell division played a vital role in the development of LUAD.Conclusion: The study identified an mRNA signature including eight genes, which may serve as a potential prognostic marker of LUAD. Keywords: RNA-seq, prognostic, signature, lung adenocarcinoma
topic RNA-Seq
Prognostic
Signature
Lung adenocarcinoma
url https://www.dovepress.com/identification-of-an-eight-gene-prognostic-signature-for-lung-adenocar-peer-reviewed-article-CMAR
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