alexa Integration of Gene Coexpression Network, GO Enrichment
ISSN: 2329-8936

Transcriptomics: Open Access
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Research Article

Integration of Gene Coexpression Network, GO Enrichment Analysis for Identification Gene Expression Signature of Invasive Bladder Carcinoma

Hanaa Hibishy Gaballah*
Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Tanta University, Egypt.
Visiting researcher at Bioinformatic Centre, Chemical Research Lab, Kyoto University, Japan.
Corresponding Author : Hanaa Hibishy Gaballah
Visiting Researcher at Bioinformatic Centre
Chemical Research Lab, Kyoto University, Japan
E-mail: [email protected]
Received November 06, 2015; Accepted January 07, 2016; Published January 11, 2016
Citation: Gaballah HH (2016) Integration of Gene Coexpression Network, GO Enrichment Analysis for Identification Gene Expression Signature of Invasive Bladder Carcinoma. Transcriptomics 4:126. doi:10.4172/2329-8936.1000126
Copyright: © 2016 Gaballah HH. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Bladder carcinoma is the most common malignancy of the urinary tract. Identification of genetic biomarkers for tumor invasiveness will help in earlier diagnosis and proper treatment. The present study aimed to integrate coexpression network and GO enrichment analysis for identification of prognostic markers and key genes that contribute to bladder cancer initiation and progression using a DNA microarray dataset (GSE 37317), invasive and noninvasive bladder cancer genes were compared by applying weighted gene co-expression network, gene ontology and pathway analysis. This study identified candidate genes (PURA, SRPK2, TRAK1, BRD2, and UPF3) that might have significant role in progression and invasiveness of bladder carcinoma. These markers might aid in early diagnosis of muscle invasiveness of bladder cancer. In conclusion; these finding may provide better understanding of the molecular mechanism of bladder cancer progression and invasiveness.


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