“School of Biological”
Back to Papers HomeBack to Papers of School of Biological
| Paper IPM / Biological / 13697 |
|
||||||||||||||
| 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.
Download TeX format |
|||||||||||||||
| back to top | |||||||||||||||
