Analysis of Candidate Genes Has Proposed the Role of Y Chromosome in Human Prostate Cancer

Pegah Khosravi; Javad Zahiri; Vahid H. Gazestani; Samira Mirkhalaf; Mohammad Akbarzadeh; Mehdi Sadeghi; Bahram  Goliaei

International Journal of Cancer Management

The Official Journal of Cancer Research Center (CRC), Shahid Beheshti University of Medical Sciences

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Abstract
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Analysis of Candidate Genes Has Proposed the Role of Y Chromosome in Human Prostate Cancer

Author(s):

Pegah Khosravi¹,

Javad Zahiri²,

Vahid H. Gazestani³,

Samira Mirkhalaf⁴,

Mohammad Akbarzadeh⁴,

Mehdi Sadeghi⁵,

Bahram Goliaei^4,*

1Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

2Faculty of Mathematics, K. N. Toosi University of Technology; Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran

3Institute of Parasitology, McGill University, Montreal, Quebec, Canada

4Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran

5National Institute of Genetic Engineering and Biotechnology; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

International Journal of Cancer Management:Vol. 7, issue 4; e80559

Published online:Dec 31, 2014

Article type:Research Article

Received:May 26, 2014

Accepted:Jul 07, 2014

How to Cite:Pegah KhosraviJavad ZahiriVahid H. GazestaniSamira MirkhalafMohammad Akbarzadeh Mehdi SadeghiBahram Goliaeiet al.Analysis of Candidate Genes Has Proposed the Role of Y Chromosome in Human Prostate Cancer.Int J Cancer Manag.7(4):e80559.

Abstract

Background: Prostate cancer, a serious genetic disease, has known as the first widespread cancer in men, but the molecular changes required for the cancer progression has not fully understood. Availability of high-throughput gene expression data has led to the development of various computational methods, for identification of the critical genes, have involved in the cancer.

Methods: In this paper, we have shown the construction of co-expression networks, which have been using Y-chromosome genes, provided an alternative strategy for detecting of new candidate, might involve in prostate cancer. In our approach, we have constructed independent co-expression networks from normal and cancerous stages have been using a reverse engineering approach. Then we have highlighted crucial Y chromosome genes involved in the prostate cancer, by analyzing networks, based on party and date hubs.

Results: Our results have led to the detection of 19 critical genes, related to prostate cancer, which 12 of them have previously shown to be involved in this cancer. Also, essential Y chromosome genes have searched based on reconstruction of sub-networks which have led to the identification of 4 experimentally established as well as 4 new Y chromosome genes might be linked putatively to prostate cancer.

Conclusion: Correct inference of master genes, which mediate molecular, has changed during cancer progression would be one of the major challenges in cancer genomics. In this paper, we have shown the role of Y chromosome genes in finding of the prostate cancer susceptibility genes. Application of our approach to the prostate cancer has led to the establishment of the previous knowledge about this cancer as well as prediction of other new genes.

Keywords

Co-expression networks

expression data

prostate cancer

reverse engineering approach

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