Literature DB >> 28710260

Big Bang Tumor Growth and Clonal Evolution.

Ruping Sun1,2, Zheng Hu1,2, Christina Curtis1,2.   

Abstract

The advent and application of next-generation sequencing (NGS) technologies to tumor genomes has reinvigorated efforts to understand clonal evolution. Although tumor progression has traditionally been viewed as a gradual stepwise process, recent studies suggest that evolutionary rates in tumors can be variable with periods of punctuated mutational bursts and relative stasis. For example, Big Bang dynamics have been reported, wherein after transformation, growth occurs in the absence of stringent selection, consistent with effectively neutral evolution. Although first noted in colorectal tumors, effective neutrality may be relatively common. Additionally, punctuated evolution resulting from mutational bursts and cataclysmic genomic alterations have been described. In this review, we contrast these findings with the conventional gradualist view of clonal evolution and describe potential clinical and therapeutic implications of different evolutionary modes and tempos.
Copyright © 2018 Cold Spring Harbor Laboratory Press; all rights reserved.

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Year:  2018        PMID: 28710260      PMCID: PMC5932575          DOI: 10.1101/cshperspect.a028381

Source DB:  PubMed          Journal:  Cold Spring Harb Perspect Med        ISSN: 2157-1422            Impact factor:   6.915


  94 in total

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Journal:  Nature       Date:  2016-10-12       Impact factor: 49.962

2.  A 17-gene stemness score for rapid determination of risk in acute leukaemia.

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Journal:  Nature       Date:  2016-12-07       Impact factor: 49.962

Review 3.  A population genetics perspective on the determinants of intra-tumor heterogeneity.

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10.  Mutational heterogeneity in cancer and the search for new cancer-associated genes.

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Journal:  Nature       Date:  2013-06-16       Impact factor: 49.962

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  14 in total

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Review 5.  The microcosmos of intratumor heterogeneity: the space-time of cancer evolution.

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Review 6.  Understanding aneuploidy in cancer through the lens of system inheritance, fuzzy inheritance and emergence of new genome systems.

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7.  Parameter, noise, and tree topology effects in tumor phylogeny inference.

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9.  RNA Based Approaches to Profile Oncogenic Pathways From Low Quantity Samples to Drive Precision Oncology Strategies.

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10.  Heterogeneity in Signaling Pathway Activity within Primary and between Primary and Metastatic Breast Cancer.

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