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

authors:

avatar Pegah Khosravi 1 , avatar Javad Zahiri 2 , avatar Vahid H. Gazestani 3 , avatar Samira Mirkhalaf 4 , avatar Mohammad Akbarzadeh 4 , avatar Mehdi Sadeghi 5 , avatar Bahram Goliaei 4 , *

Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
Faculty of Mathematics, K. N. Toosi University of Technology; Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
Institute of Parasitology, McGill University, Montreal, Quebec, Canada
Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
National 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: December 31, 2014
article type: Research Article
received: May 26, 2014
accepted: July 07, 2014

how to cite: Khosravi P, Zahiri J, Gazestani V H, Mirkhalaf S, Akbarzadeh M, et al. Analysis of Candidate Genes Has Proposed the Role of Y Chromosome in Human Prostate Cancer. Int J Cancer Manag. 2014;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.

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