title: Analysis of candidate genes has proposed the role of y chromosome in human prostate cancer.
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.
  
  
  CONCLUSIONS
  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.
authors: Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran ; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
authors: Pegah
authors: P
authors: Khosravi
authors: Faculty of Mathematics, K. N. Toosi University of Technology, Tehran, Iran ; Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
authors: Javad
authors: J
authors: Zahiri
authors: Institute of Parasitology, McGill University, Montreal, Quebec, Canada.
authors: Vahid H
authors: VH
authors: Gazestani
authors: Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
authors: Samira
authors: S
authors: Mirkhalaf
authors: Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
authors: Mohammad
authors: M
authors: Akbarzadeh
authors: National Institute of Genetic Engineering and Biotechnology, Tehran, Iran ; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
authors: Mehdi
authors: M
authors: Sadeghi
authors: Dept. of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
authors: Bahram
authors: B
authors: Goliaei
keywords: Co-expression networks; expression data; prostate cancer; reverse engineering approach
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