Cancer systems biology in the genome sequencing era: Part 1, dissecting and modeling of tumor clones and their networks

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DOIResolve DOI: http://doi.org/10.1016/j.semcancer.2013.06.002
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TypeArticle
Journal titleSeminars in Cancer Biology
ISSN1044-579X
Volume23
Issue4
Pages279285; # of pages: 7
Subjectapoptosis; breast cancer; breast carcinogenesis; cancer cell; cancer prognosis; cancer survival; cancer systems biology; cell proliferation; cell subpopulation; cell survival; chromosome breakage; copy number variation; disease marker; gene mutation; human; molecular cloning; oncology; review; RNA sequence; signal transduction; single cell analysis; systems biology
AbstractRecent tumor genome sequencing confirmed that one tumor often consists of multiple cell subpopulations (clones) which bear different, but related, genetic profiles such as mutation and copy number variation profiles. Thus far, one tumor has been viewed as a whole entity in cancer functional studies. With the advances of genome sequencing and computational analysis, we are able to quantify and computationally dissect clones from tumors, and then conduct clone-based analysis. Emerging technologies such as single-cell genome sequencing and RNA-Seq could profile tumor clones. Thus, we should reconsider how to conduct cancer systems biology studies in the genome sequencing era. We will outline new directions for conducting cancer systems biology by considering that genome sequencing technology can be used for dissecting, quantifying and genetically characterizing clones from tumors. Topics discussed in Part 1 of this review include computationally quantifying of tumor subpopulations; clone-based network modeling, cancer hallmark-based networks and their high-order rewiring principles and the principles of cell survival networks of fast-growing clones. © 2013 Published by Elsevier Ltd.
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LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC)
Peer reviewedYes
NPARC number21270543
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Record identifier3811a93e-f5a0-459d-9859-e55b9fdbd845
Record created2014-02-17
Record modified2016-05-09
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