Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer

Ping Liao,1 Wei Li,1 Ruizheng Liu,2 Jamie K Teer,2 Biaobo Xu,3 Wei Zhang,1 Xi Li,1 Howard L Mcleod,1,2 Yijing He1,2 1Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China;...

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Main Authors: Liao P, Li W, Liu RZ, Teer JK, Xu BB, Zhang W, Li X, Mcleod HL, He YJ
Format: Article
Language:English
Published: Dove Medical Press 2018-10-01
Series:OncoTargets and Therapy
Subjects:
Online Access:https://www.dovepress.com/genome-scale-analysis-identifies-serpine1-and-sparc-as-diagnostic-and--peer-reviewed-article-OTT
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spelling doaj-2add7e2d34214bfc8ade993ae574b8422020-11-25T00:44:11ZengDove Medical PressOncoTargets and Therapy1178-69302018-10-01Volume 116969698041451Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancerLiao PLi WLiu RZTeer JKXu BBZhang WLi XMcleod HLHe YJPing Liao,1 Wei Li,1 Ruizheng Liu,2 Jamie K Teer,2 Biaobo Xu,3 Wei Zhang,1 Xi Li,1 Howard L Mcleod,1,2 Yijing He1,2 1Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China; 2Moffitt Cancer Center, DeBartolo Family Personalized Medicine Institute, Tampa, FL, USA; 3Institute of Pharmacy, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi, China Background: Gastric cancer (GC) is one of the most common types of malignancy and is associated with high morbidity and mortality rates around the world. With poor clinical outcomes, potential biomarkers for diagnosis and prognosis are important to investigate.Objective: The aim of this study is to investigate the gene expression module of GC and to identify potential diagnostic and prognostic biomarkers.Method: Microarray data (GSE13911, GSE29272, GSE54129, and GSE79973), including 293 stomach tumor tissues and 196 normal tissues, were analyzed to identify differentially expressed genes (DEGs). DEGs were identified in four profiles by intersecting four overlapping subsets, including 90 downregulated and 45 upregulated DEGs in common. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway analyses have been showed that extracellular matrix was the most enriched signal pathway. Furthermore, hub genes were analyzed by protein–protein interaction network and clinical outcomes were assessed by Kaplan–Meier survival analysis. Two independent datasets were used to validate the differential expression of two hub genes: Serpin Family E Member 1 (SERPINE1) and Secreted Protein Acidic and Cysteine Rich (SPARC).Results: Validation of independent datasets indicated that SERPINE1 and SPARC expression were drastically increased in gastric tumor tissues and associated with poor outcomes in GC patients. The expression of SERPINE1 was related to race (Asian and White) (P < 0.05).Conclusion: SERPINE1 and SPARC were significantly upregulated in gastric tissues and associated with poor outcomes. The investigations of SERPINE1 and SPARC may promote their predictive and prognostic value in GC. Keywords: gastric cancer, SERPINE1, SPARC, diagnosis, prognosis, biomarkerhttps://www.dovepress.com/genome-scale-analysis-identifies-serpine1-and-sparc-as-diagnostic-and--peer-reviewed-article-OTTgastric cancerSERPINE1SPARCdiagnosisprognosisbiomarker
collection DOAJ
language English
format Article
sources DOAJ
author Liao P
Li W
Liu RZ
Teer JK
Xu BB
Zhang W
Li X
Mcleod HL
He YJ
spellingShingle Liao P
Li W
Liu RZ
Teer JK
Xu BB
Zhang W
Li X
Mcleod HL
He YJ
Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer
OncoTargets and Therapy
gastric cancer
SERPINE1
SPARC
diagnosis
prognosis
biomarker
author_facet Liao P
Li W
Liu RZ
Teer JK
Xu BB
Zhang W
Li X
Mcleod HL
He YJ
author_sort Liao P
title Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer
title_short Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer
title_full Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer
title_fullStr Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer
title_full_unstemmed Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer
title_sort genome-scale analysis identifies serpine1 and sparc as diagnostic and prognostic biomarkers in gastric cancer
publisher Dove Medical Press
series OncoTargets and Therapy
issn 1178-6930
publishDate 2018-10-01
description Ping Liao,1 Wei Li,1 Ruizheng Liu,2 Jamie K Teer,2 Biaobo Xu,3 Wei Zhang,1 Xi Li,1 Howard L Mcleod,1,2 Yijing He1,2 1Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China; 2Moffitt Cancer Center, DeBartolo Family Personalized Medicine Institute, Tampa, FL, USA; 3Institute of Pharmacy, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi, China Background: Gastric cancer (GC) is one of the most common types of malignancy and is associated with high morbidity and mortality rates around the world. With poor clinical outcomes, potential biomarkers for diagnosis and prognosis are important to investigate.Objective: The aim of this study is to investigate the gene expression module of GC and to identify potential diagnostic and prognostic biomarkers.Method: Microarray data (GSE13911, GSE29272, GSE54129, and GSE79973), including 293 stomach tumor tissues and 196 normal tissues, were analyzed to identify differentially expressed genes (DEGs). DEGs were identified in four profiles by intersecting four overlapping subsets, including 90 downregulated and 45 upregulated DEGs in common. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway analyses have been showed that extracellular matrix was the most enriched signal pathway. Furthermore, hub genes were analyzed by protein–protein interaction network and clinical outcomes were assessed by Kaplan–Meier survival analysis. Two independent datasets were used to validate the differential expression of two hub genes: Serpin Family E Member 1 (SERPINE1) and Secreted Protein Acidic and Cysteine Rich (SPARC).Results: Validation of independent datasets indicated that SERPINE1 and SPARC expression were drastically increased in gastric tumor tissues and associated with poor outcomes in GC patients. The expression of SERPINE1 was related to race (Asian and White) (P < 0.05).Conclusion: SERPINE1 and SPARC were significantly upregulated in gastric tissues and associated with poor outcomes. The investigations of SERPINE1 and SPARC may promote their predictive and prognostic value in GC. Keywords: gastric cancer, SERPINE1, SPARC, diagnosis, prognosis, biomarker
topic gastric cancer
SERPINE1
SPARC
diagnosis
prognosis
biomarker
url https://www.dovepress.com/genome-scale-analysis-identifies-serpine1-and-sparc-as-diagnostic-and--peer-reviewed-article-OTT
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