publication . Preprint . Article . 2014

Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data

Edwin Wang; Naif Zaman; Shauna R. McGee; Jean-Sébastien Milanese; Ali Masoudi-Nejad; Maureen D. O'Connor-McCourt;
Open Access English
  • Published: 08 Aug 2014
Abstract
We discuss a cancer hallmark network framework for modelling genome-sequencing data to predict cancer clonal evolution and associated clinical phenotypes. Strategies of using this framework in conjunction with genome sequencing data in an attempt to predict personalized drug targets, drug resistance, and metastasis for a cancer patient, as well as cancer risks for a healthy individual are discussed. Accurate prediction of cancer clonal evolution and clinical phenotypes will have substantial impact on timely diagnosis, personalized management and prevention of cancer.
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free text keywords: Quantitative Biology - Molecular Networks, Cancer Research, Personalized medicine, business.industry, business, Computational biology, Biology, Evolutionary dynamics, Genome instability, Genetics, Genomics, Genome, Carcinogenesis, medicine.disease_cause, medicine, Cancer systems biology, Somatic evolution in cancer
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