Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis

Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis

Gastric cancers (GC) have the high morbidity and mortality rates worldwide and there is a need to identify sufficiently sensitive biomarkers for GC. MicroRNAs (miRNAs) could be promising potential biomarkers for GC diagnosis. We employed a systematic and integrative bioinformatics framework to ident...

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Main Authors: Wenying Yan, Shouli Wang, Zhandong Sun, Yuxin Lin, Shengwei Sun, Jiajia Chen, Weichang Chen
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2014/901428
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spelling doaj-7340012bc3b64ba7b7c5ea729a6fdc582020-11-24T22:36:40ZengHindawi LimitedBioMed Research International2314-61332314-61412014-01-01201410.1155/2014/901428901428Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological AnalysisWenying Yan0Shouli Wang1Zhandong Sun2Yuxin Lin3Shengwei Sun4Jiajia Chen5Weichang Chen6Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, ChinaDepartment of Pathology, Soochow University School of Medicine, Suzhou 215123, ChinaCenter for Systems Biology, Soochow University, No. 1 Shizi Street, Suzhou 215006, ChinaCenter for Systems Biology, Soochow University, No. 1 Shizi Street, Suzhou 215006, ChinaSchool of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaCenter for Systems Biology, Soochow University, No. 1 Shizi Street, Suzhou 215006, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, ChinaGastric cancers (GC) have the high morbidity and mortality rates worldwide and there is a need to identify sufficiently sensitive biomarkers for GC. MicroRNAs (miRNAs) could be promising potential biomarkers for GC diagnosis. We employed a systematic and integrative bioinformatics framework to identify GC-related microRNAs from the public microRNA and mRNA expression dataset generated by RNA-seq technology. The performance of the 17 candidate miRNAs was evaluated by hierarchal clustering, ROC analysis, and literature mining. Fourteen have been found to be associated with GC and three microRNAs (miR-211, let-7b, and miR-708) were for the first time reported to associate with GC and may be used for diagnostic biomarkers for GC.http://dx.doi.org/10.1155/2014/901428
collection DOAJ
language English
format Article
sources DOAJ
author Wenying Yan
Shouli Wang
Zhandong Sun
Yuxin Lin
Shengwei Sun
Jiajia Chen
Weichang Chen
spellingShingle Wenying Yan
Shouli Wang
Zhandong Sun
Yuxin Lin
Shengwei Sun
Jiajia Chen
Weichang Chen
Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis
BioMed Research International
author_facet Wenying Yan
Shouli Wang
Zhandong Sun
Yuxin Lin
Shengwei Sun
Jiajia Chen
Weichang Chen
author_sort Wenying Yan
title Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis
title_short Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis
title_full Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis
title_fullStr Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis
title_full_unstemmed Identification of MicroRNAs as Potential Biomarker for Gastric Cancer by System Biological Analysis
title_sort identification of micrornas as potential biomarker for gastric cancer by system biological analysis
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2014-01-01
description Gastric cancers (GC) have the high morbidity and mortality rates worldwide and there is a need to identify sufficiently sensitive biomarkers for GC. MicroRNAs (miRNAs) could be promising potential biomarkers for GC diagnosis. We employed a systematic and integrative bioinformatics framework to identify GC-related microRNAs from the public microRNA and mRNA expression dataset generated by RNA-seq technology. The performance of the 17 candidate miRNAs was evaluated by hierarchal clustering, ROC analysis, and literature mining. Fourteen have been found to be associated with GC and three microRNAs (miR-211, let-7b, and miR-708) were for the first time reported to associate with GC and may be used for diagnostic biomarkers for GC.
url http://dx.doi.org/10.1155/2014/901428
work_keys_str_mv AT wenyingyan identificationofmicrornasaspotentialbiomarkerforgastriccancerbysystembiologicalanalysis
AT shouliwang identificationofmicrornasaspotentialbiomarkerforgastriccancerbysystembiologicalanalysis
AT zhandongsun identificationofmicrornasaspotentialbiomarkerforgastriccancerbysystembiologicalanalysis
AT yuxinlin identificationofmicrornasaspotentialbiomarkerforgastriccancerbysystembiologicalanalysis
AT shengweisun identificationofmicrornasaspotentialbiomarkerforgastriccancerbysystembiologicalanalysis
AT jiajiachen identificationofmicrornasaspotentialbiomarkerforgastriccancerbysystembiologicalanalysis
AT weichangchen identificationofmicrornasaspotentialbiomarkerforgastriccancerbysystembiologicalanalysis
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