Modelling the Genetic and Epigenetic Signals in Colon Cancer Using a Bayesian Network
Cancer, the unregulated growth of cells, has been a major area of focus of research for years due to its impact on human health. Cancer development can be traced back to aberrant modifications in genetic and epigenetic mechanisms within the body over time. Given time and cost implications of human genome experimentation, computational modeling is increasingly being employed to improve understanding of mechanisms which determine cancer initiation and progression. Here, we introduce a network-based model for genetic and epigenetic signals in colorectal cancer, with the focus on the gene level and tumor pathways. The current framework also considers the influence of ageing for micromolecular events in cancer development.
KeywordsGenetic and epigenetic events Colon cancer Bayesian network Ageing
This project acknowledges financial support from CIESCI ERA-Net Complexity Project, (EU/IRCSET). Access to the StatEpigen database is also gratefully acknowledged.
- 1.Allis CD, Jenuwein T, Reinberg D, Caparros ML (2007) Epigenetics. Cold Spring Harbor Laboratory Press, New York Google Scholar
- 5.Ahuja N, Li Q, Mohan AL, Baylin SB, Issa JPJ (1998) Aging and DNA methylation in colorectal mucosa and cancer. Cancer Res 58(23):5489–5494 Google Scholar
- 6.Barat A, Ruskin HJ (2010) A manually curated novel knowledge management system for genetic and epigenetic molecular determinants of colon cancer. Open Color Cancer J 3:36–46 Google Scholar
- 7.Ongenaert M, Van Neste L, De Meyer T, Menschaert G, Bekaert S, Van Criekinge W (2008) PubMeth: a cancer methylation database combining text-mining and expert annotation. Nucleic Acids Res 36(1):D842–D846 Google Scholar
- 9.Raghavan K, Ruskin HJ (2011) Computational epigenetic micromodel-framework for parallel implementation and information flow. In: The eighth international conference on complex systems, vol 8. NECSI Knowledge Press, Boston, pp 340–353 Google Scholar