Literature DB >> 33571199

Signatures of neutral evolution in exponentially growing tumors: A theoretical perspective.

Hwai-Ray Tung1, Rick Durrett1.   

Abstract

Recent work of Sottoriva, Graham, and collaborators have led to the controversial claim that exponentially growing tumors have a site frequency spectrum that follows the 1/f law consistent with neutral evolution. This conclusion has been criticized based on data quality issues, statistical considerations, and simulation results. Here, we use rigorous mathematical arguments to investigate the site frequency spectrum in the two-type model of clonal evolution. If the fitnesses of the two types are λ0 < λ1, then the site frequency spectrum is c/fα where α = λ0/λ1. This is due to the advantageous mutations that produce the founders of the type 1 population. Mutations within the growing type 0 and type 1 populations follow the 1/f law. Our results show that, in contrast to published criticisms, neutral evolution in an exponentially growing tumor can be distinguished from the two-type model using the site frequency spectrum.

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Year:  2021        PMID: 33571199      PMCID: PMC7904140          DOI: 10.1371/journal.pcbi.1008701

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  11 in total

1.  Accumulation of driver and passenger mutations during tumor progression.

Authors:  Ivana Bozic; Tibor Antal; Hisashi Ohtsuki; Hannah Carter; Dewey Kim; Sining Chen; Rachel Karchin; Kenneth W Kinzler; Bert Vogelstein; Martin A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-27       Impact factor: 11.205

2.  Evolutionary dynamics of tumor progression with random fitness values.

Authors:  Rick Durrett; Jasmine Foo; Kevin Leder; John Mayberry; Franziska Michor
Journal:  Theor Popul Biol       Date:  2010-05-19       Impact factor: 1.570

3.  Uncertainties in tumor allele frequencies limit power to infer evolutionary pressures.

Authors:  Javad Noorbakhsh; Jeffrey H Chuang
Journal:  Nat Genet       Date:  2017-08-30       Impact factor: 38.330

4.  POPULATION GENETICS OF NEUTRAL MUTATIONS IN EXPONENTIALLY GROWING CANCER CELL POPULATIONS.

Authors:  Rick Durrett
Journal:  Ann Appl Probab       Date:  2013       Impact factor: 1.872

5.  A Big Bang model of human colorectal tumor growth.

Authors:  Andrea Sottoriva; Haeyoun Kang; Zhicheng Ma; Trevor A Graham; Matthew P Salomon; Junsong Zhao; Paul Marjoram; Kimberly Siegmund; Michael F Press; Darryl Shibata; Christina Curtis
Journal:  Nat Genet       Date:  2015-02-09       Impact factor: 38.330

6.  Identification of neutral tumor evolution across cancer types.

Authors:  Marc J Williams; Benjamin Werner; Chris P Barnes; Trevor A Graham; Andrea Sottoriva
Journal:  Nat Genet       Date:  2016-01-18       Impact factor: 38.330

7.  On measuring selection in cancer from subclonal mutation frequencies.

Authors:  Ivana Bozic; Chay Paterson; Bartlomiej Waclaw
Journal:  PLoS Comput Biol       Date:  2019-09-26       Impact factor: 4.475

8.  Revisiting signatures of neutral tumor evolution in the light of complexity of cancer genomic data.

Authors:  Abdul Balaparya; Subhajyoti De
Journal:  Nat Genet       Date:  2018-12       Impact factor: 38.330

9.  Currently available bulk sequencing data do not necessarily support a model of neutral tumor evolution.

Authors:  Thomas O McDonald; Shaon Chakrabarti; Franziska Michor
Journal:  Nat Genet       Date:  2018-12       Impact factor: 38.330

10.  Neutral tumor evolution?

Authors:  Maxime Tarabichi; Iñigo Martincorena; Moritz Gerstung; Armand M Leroi; Florian Markowetz; Paul T Spellman; Quaid D Morris; Ole Christian Lingjærde; David C Wedge; Peter Van Loo
Journal:  Nat Genet       Date:  2018-12       Impact factor: 38.330

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  2 in total

1.  Inferring ongoing cancer evolution from single tumour biopsies using synthetic supervised learning.

Authors:  Tom W Ouellette; Philip Awadalla
Journal:  PLoS Comput Biol       Date:  2022-04-28       Impact factor: 4.779

2.  Bridging Tumorigenesis and Therapy Resistance With a Non-Darwinian and Non-Lamarckian Mechanism of Adaptive Evolution.

Authors:  Francesco Catania; Beata Ujvari; Benjamin Roche; Jean-Pascal Capp; Frédéric Thomas
Journal:  Front Oncol       Date:  2021-09-10       Impact factor: 6.244

  2 in total

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