Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile

Minglei Zhang,1 Hongyan Li,2 Di Zou,3 Ji Gao2 1Department of Orthopedics, Division of Tumor and Trauma Surgery, 2Department of Urology, China–Japan Union Hospital of Jilin University, 3Department of Nephrology, The First Affiliated Hospital of Changchun University of Chinese Medicine, Cha...

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Main Authors: Zhang M, Li H, Zou D, Gao J
Format: Article
Language:English
Published: Dove Medical Press 2016-05-01
Series:OncoTargets and Therapy
Subjects:
Online Access:https://www.dovepress.com/ruguo-key-genes-and-tumor-driving-factors-identification-of-bladder-ca-peer-reviewed-article-OTT
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spelling doaj-b6b500bfd66949ccabefd7fbdc6b33622020-11-24T22:35:40ZengDove Medical PressOncoTargets and Therapy1178-69302016-05-012016Issue 12717272326787Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profileZhang MLi HZou DGao JMinglei Zhang,1 Hongyan Li,2 Di Zou,3 Ji Gao2 1Department of Orthopedics, Division of Tumor and Trauma Surgery, 2Department of Urology, China–Japan Union Hospital of Jilin University, 3Department of Nephrology, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, People’s Republic of China Aim: This study aimed to select several signature genes associated with bladder cancer, thus to investigate the possible mechanism in bladder cancer.Methods: The mRNA expression profile data of GSE31614, including ten bladder tissues and ten control samples, was downloaded from the Gene Expression Omnibus. The differentially expressed genes (DEGs) in bladder cancer samples compared with the control samples were screened using the Student’s t-test method. Functional analysis for the DEGs was analyzed using the Database for Annotation, Visualization, and Integrated Discovery from the Gene Ontology database, followed by the transcription function annotation of DEGs from Tumor-Associated Gene database. Motifs of genes that had transcription functions in promoter region were analyzed using the Seqpos.Results: A total of 1,571 upregulated and 1,507 downregulated DEGs in the bladder cancer samples were screened. ELF3 and MYBL2 involved in cell cycle and DNA replication were tumor suppressors. MEG3, APEX1, and EZH2 were related with the cell epigenetic regulation in bladder cancer. Moreover, HOXB9 and EN1 that have their own motif were the transcription factors.Conclusion: Our study has identified several key genes involved in bladder cancer. ELF3 and MYBL2 are tumor suppressers, HOXB9 and EN1 are the main regulators, while MEG3, APEX1, and EZH2 are driving factors for bladder cancer progression. Keywords: bladder cancer, differentially expressed genes, tumor driving factor, function analysishttps://www.dovepress.com/ruguo-key-genes-and-tumor-driving-factors-identification-of-bladder-ca-peer-reviewed-article-OTTbladder cancerdifferentially expressed genestumor driving factorfunction analysis
collection DOAJ
language English
format Article
sources DOAJ
author Zhang M
Li H
Zou D
Gao J
spellingShingle Zhang M
Li H
Zou D
Gao J
Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile
OncoTargets and Therapy
bladder cancer
differentially expressed genes
tumor driving factor
function analysis
author_facet Zhang M
Li H
Zou D
Gao J
author_sort Zhang M
title Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile
title_short Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile
title_full Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile
title_fullStr Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile
title_full_unstemmed Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile
title_sort ruguo key genes and tumor driving factors identification of bladder cancer based on the rna-seq profile
publisher Dove Medical Press
series OncoTargets and Therapy
issn 1178-6930
publishDate 2016-05-01
description Minglei Zhang,1 Hongyan Li,2 Di Zou,3 Ji Gao2 1Department of Orthopedics, Division of Tumor and Trauma Surgery, 2Department of Urology, China–Japan Union Hospital of Jilin University, 3Department of Nephrology, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, People’s Republic of China Aim: This study aimed to select several signature genes associated with bladder cancer, thus to investigate the possible mechanism in bladder cancer.Methods: The mRNA expression profile data of GSE31614, including ten bladder tissues and ten control samples, was downloaded from the Gene Expression Omnibus. The differentially expressed genes (DEGs) in bladder cancer samples compared with the control samples were screened using the Student’s t-test method. Functional analysis for the DEGs was analyzed using the Database for Annotation, Visualization, and Integrated Discovery from the Gene Ontology database, followed by the transcription function annotation of DEGs from Tumor-Associated Gene database. Motifs of genes that had transcription functions in promoter region were analyzed using the Seqpos.Results: A total of 1,571 upregulated and 1,507 downregulated DEGs in the bladder cancer samples were screened. ELF3 and MYBL2 involved in cell cycle and DNA replication were tumor suppressors. MEG3, APEX1, and EZH2 were related with the cell epigenetic regulation in bladder cancer. Moreover, HOXB9 and EN1 that have their own motif were the transcription factors.Conclusion: Our study has identified several key genes involved in bladder cancer. ELF3 and MYBL2 are tumor suppressers, HOXB9 and EN1 are the main regulators, while MEG3, APEX1, and EZH2 are driving factors for bladder cancer progression. Keywords: bladder cancer, differentially expressed genes, tumor driving factor, function analysis
topic bladder cancer
differentially expressed genes
tumor driving factor
function analysis
url https://www.dovepress.com/ruguo-key-genes-and-tumor-driving-factors-identification-of-bladder-ca-peer-reviewed-article-OTT
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