Intratumor Heterogeneity in Evolutionary Models of Tumor Progression

Author:

Durrett Rick1,Foo Jasmine23,Leder Kevin23,Mayberry John4,Michor Franziska23

Affiliation:

1. Department of Mathematics, Duke University, Durham, North Carolina 27708

2. Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and

3. Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115 and

4. Department of Mathematics, University of the Pacific, Stockton, California 95211

Abstract

Abstract With rare exceptions, human tumors arise from single cells that have accumulated the necessary number and types of heritable alterations. Each such cell leads to dysregulated growth and eventually the formation of a tumor. Despite their monoclonal origin, at the time of diagnosis most tumors show a striking amount of intratumor heterogeneity in all measurable phenotypes; such heterogeneity has implications for diagnosis, treatment efficacy, and the identification of drug targets. An understanding of the extent and evolution of intratumor heterogeneity is therefore of direct clinical importance. In this article, we investigate the evolutionary dynamics of heterogeneity arising during exponential expansion of a tumor cell population, in which heritable alterations confer random fitness changes to cells. We obtain analytical estimates for the extent of heterogeneity and quantify the effects of system parameters on this tumor trait. Our work contributes to a mathematical understanding of intratumor heterogeneity and is also applicable to organisms like bacteria, agricultural pests, and other microbes.

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference49 articles.

1. Genetic progression and the waiting time to cancer;Beerenwinkel;PLoS Comput. Biol.,2007

2. Accumulation of driver and passenger mutations during tumor progression;Bozic;Proc. Natl. Acad. Sci. USA,2010

3. Breast tumor heterogeneity: Cancer stem cells or clonal evolution?;Campbell;Cell Cycle,2007

4. Role of mathematical modeling in protocol formulation in cancer chemotherapy;Coldman;Cancer Treat. Rep.,1985

5. A stochastic model for the origin and treatment of tumors containing drug-resistant cells;Coldman;Bull. Math. Biol.,1986

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3