Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study

Bladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states. We chose gene expression data of GSE52519 from Gene Exp...

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Published inGalen Vol. 7; p. e1279
Main Authors Zamanian Azodi, Mona, Rezaei Tavirani, Mostafa, Rostami-Nejad, Mohammad, Rezaei-Tavirani, Majid
Format Journal Article
LanguageEnglish
Published Iran Salvia Medical Sciences Ltd 01.01.2018
Subjects
Original
Biomarkers
Bladder Neoplasm
Transcriptome
Protein Interaction Maps
Online AccessGet full text
ISSN2322-2379
2588-2767
2322-2379
DOI10.22086/gmj.v0i0.1279

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Abstract Bladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states. We chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods applied for the network construction and investigation of differentially expressed genes (DEG) in these states. Our result revealed that the analysis DEGs provides useful information about a common molecular feature of stages 2 and 4 of BC. Consequently, the network finding revealed that more investigation about stage 2 is required to achieve an effective therapeutic protocol to block the transition from stage 2 to stage 4.
AbstractList Bladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states.BACKGROUNDBladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states.We chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods applied for the network construction and investigation of differentially expressed genes (DEG) in these states.MATERIALS AND METHODSWe chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods applied for the network construction and investigation of differentially expressed genes (DEG) in these states.Our result revealed that the analysis DEGs provides useful information about a common molecular feature of stages 2 and 4 of BC.RESULTOur result revealed that the analysis DEGs provides useful information about a common molecular feature of stages 2 and 4 of BC.Consequently, the network finding revealed that more investigation about stage 2 is required to achieve an effective therapeutic protocol to block the transition from stage 2 to stage 4.CONCLUSIONConsequently, the network finding revealed that more investigation about stage 2 is required to achieve an effective therapeutic protocol to block the transition from stage 2 to stage 4.
Bladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states. We chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods applied for the network construction and investigation of differentially expressed genes (DEG) in these states. Our result revealed that the analysis DEGs provides useful information about a common molecular feature of stages 2 and 4 of BC. Consequently, the network finding revealed that more investigation about stage 2 is required to achieve an effective therapeutic protocol to block the transition from stage 2 to stage 4.
Author Rezaei-Tavirani, Majid
Zamanian Azodi, Mona
Rezaei Tavirani, Mostafa
Rostami-Nejad, Mohammad
AuthorAffiliation 1 Student Research Committee, Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
3 Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Keywords Biomarkers
Bladder Neoplasm
Transcriptome
Protein Interaction Maps
Language English
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Title Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study
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