Literature DB >> 28536279

The Damaging Effect of Passenger Mutations on Cancer Progression.

Christopher D McFarland1, Julia A Yaglom2, Jonathan W Wojtkowiak3, Jacob G Scott4, David L Morse3, Michael Y Sherman5, Leonid A Mirny6,7.   

Abstract

Genomic instability and high mutation rates cause cancer to acquire numerous mutations and chromosomal alterations during its somatic evolution; most are termed passengers because they do not confer cancer phenotypes. Evolutionary simulations and cancer genomic studies suggest that mildly deleterious passengers accumulate and can collectively slow cancer progression. Clinical data also suggest an association between passenger load and response to therapeutics, yet no causal link between the effects of passengers and cancer progression has been established. To assess this, we introduced increasing passenger loads into human cell lines and immunocompromised mouse models. We found that passengers dramatically reduced proliferative fitness (∼3% per Mb), slowed tumor growth, and reduced metastatic progression. We developed new genomic measures of damaging passenger load that can accurately predict the fitness costs of passengers in cell lines and in human breast cancers. We conclude that genomic instability and an elevated load of DNA alterations in cancer is a double-edged sword: it accelerates the accumulation of adaptive drivers, but incurs a harmful passenger load that can outweigh driver benefit. The effects of passenger alterations on cancer fitness were unrelated to enhanced immunity, as our tests were performed either in cell culture or in immunocompromised animals. Our findings refute traditional paradigms of passengers as neutral events, suggesting that passenger load reduces the fitness of cancer cells and slows or prevents progression of both primary and metastatic disease. The antitumor effects of chemotherapies can in part be due to the induction of genomic instability and increased passenger load. Cancer Res; 77(18); 4763-72. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28536279      PMCID: PMC5639691          DOI: 10.1158/0008-5472.CAN-15-3283-T

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  47 in total

1.  Adaptive evolution of asexual populations under Muller's ratchet.

Authors:  Doris Bachtrog; Isabel Gordo
Journal:  Evolution       Date:  2004-07       Impact factor: 3.694

2.  Model of effectively neutral mutations in which selective constraint is incorporated.

Authors:  M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1979-07       Impact factor: 11.205

3.  Transitions to asexuality result in excess amino acid substitutions.

Authors:  Susanne Paland; Michael Lynch
Journal:  Science       Date:  2006-02-17       Impact factor: 47.728

4.  Identification of the transforming STRN-ALK fusion as a potential therapeutic target in the aggressive forms of thyroid cancer.

Authors:  Lindsey M Kelly; Guillermo Barila; Pengyuan Liu; Viktoria N Evdokimova; Sumita Trivedi; Federica Panebianco; Manoj Gandhi; Sally E Carty; Steven P Hodak; Jianhua Luo; Sanja Dacic; Yan P Yu; Marina N Nikiforova; Robert L Ferris; Daniel L Altschuler; Yuri E Nikiforov
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-03       Impact factor: 11.205

5.  Tug-of-war between driver and passenger mutations in cancer and other adaptive processes.

Authors:  Christopher D McFarland; Leonid A Mirny; Kirill S Korolev
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-02       Impact factor: 11.205

6.  A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers.

Authors:  Scott L Carter; Aron C Eklund; Isaac S Kohane; Lyndsay N Harris; Zoltan Szallasi
Journal:  Nat Genet       Date:  2006-08-20       Impact factor: 38.330

Review 7.  Cancer as an evolutionary and ecological process.

Authors:  Lauren M F Merlo; John W Pepper; Brian J Reid; Carlo C Maley
Journal:  Nat Rev Cancer       Date:  2006-11-16       Impact factor: 60.716

8.  Explaining the high mutation rates of cancer cells to drug and multidrug resistance by chromosome reassortments that are catalyzed by aneuploidy.

Authors:  P Duesberg; R Stindl; R Hehlmann
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

9.  Profiles of genomic instability in high-grade serous ovarian cancer predict treatment outcome.

Authors:  Zhigang C Wang; Nicolai Juul Birkbak; Aedín C Culhane; Ronny Drapkin; Aquila Fatima; Ruiyang Tian; Matthew Schwede; Kathryn Alsop; Kathryn E Daniels; Huiying Piao; Joyce Liu; Dariush Etemadmoghadam; Alexander Miron; Helga B Salvesen; Gillian Mitchell; Anna DeFazio; John Quackenbush; Ross S Berkowitz; J Dirk Iglehart; David D L Bowtell; Ursula A Matulonis
Journal:  Clin Cancer Res       Date:  2012-08-21       Impact factor: 12.531

10.  Passenger deletions generate therapeutic vulnerabilities in cancer.

Authors:  Florian L Muller; Simona Colla; Elisa Aquilanti; Veronica E Manzo; Giannicola Genovese; Jaclyn Lee; Daniel Eisenson; Rujuta Narurkar; Pingna Deng; Luigi Nezi; Michelle A Lee; Baoli Hu; Jian Hu; Ergun Sahin; Derrick Ong; Eliot Fletcher-Sananikone; Dennis Ho; Lawrence Kwong; Cameron Brennan; Y Alan Wang; Lynda Chin; Ronald A DePinho
Journal:  Nature       Date:  2012-08-16       Impact factor: 49.962

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  29 in total

Review 1.  Tumor Mutational Burden as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors: A Review of Current Evidence.

Authors:  Samuel J Klempner; David Fabrizio; Shalmali Bane; Marcia Reinhart; Tim Peoples; Siraj M Ali; Ethan S Sokol; Garrett Frampton; Alexa B Schrock; Rachel Anhorn; Prasanth Reddy
Journal:  Oncologist       Date:  2019-10-02

2.  Collective effects of common SNPs and risk prediction in lung cancer.

Authors:  Xiaoyun Lei; Dejian Yuan; Zuobin Zhu; Shi Huang
Journal:  Heredity (Edinb)       Date:  2018-03-10       Impact factor: 3.821

3.  Passenger mutations can accelerate tumour suppressor gene inactivation in cancer evolution.

Authors:  Dominik Wodarz; Alan C Newell; Natalia L Komarova
Journal:  J R Soc Interface       Date:  2018-06       Impact factor: 4.118

Review 4.  Mutation-selection balance and compensatory mechanisms in tumour evolution.

Authors:  Erez Persi; Yuri I Wolf; David Horn; Eytan Ruppin; Francesca Demichelis; Robert A Gatenby; Robert J Gillies; Eugene V Koonin
Journal:  Nat Rev Genet       Date:  2020-11-30       Impact factor: 53.242

5.  MUC16 mutations improve patients' prognosis by enhancing the infiltration and antitumor immunity of cytotoxic T lymphocytes in the endometrial cancer microenvironment.

Authors:  Jing Hu; Jing Sun
Journal:  Oncoimmunology       Date:  2018-08-06       Impact factor: 8.110

6.  Inferring Tumor Proliferative Organization from Phylogenetic Tree Measures in a Computational Model.

Authors:  Jacob G Scott; Philip K Maini; Alexander R A Anderson; Alexander G Fletcher
Journal:  Syst Biol       Date:  2020-07-01       Impact factor: 15.683

7.  Impact of accumulated alterations in driver and passenger genes on response to radiation therapy.

Authors:  Yuji Seo; Keisuke Tamari; Yutaka Takahashi; Kazumasa Minami; Fumiaki Isohashi; Osamu Suzuki; Iori Sumida; Kazuhiko Ogawa
Journal:  Br J Radiol       Date:  2020-02-14       Impact factor: 3.039

8.  The structure-based cancer-related single amino acid variation prediction.

Authors:  Jia-Jun Liu; Chin-Sheng Yu; Hsiao-Wei Wu; Yu-Jen Chang; Chih-Peng Lin; Chih-Hao Lu
Journal:  Sci Rep       Date:  2021-06-30       Impact factor: 4.379

9.  p53 aberrations in low grade endometrioid carcinoma of the endometrium with nodal metastases: possible insights on pathogenesis discerned from immunohistochemistry.

Authors:  Oluwole Fadare; Vinita Parkash
Journal:  Diagn Pathol       Date:  2017-11-14       Impact factor: 2.644

Review 10.  Nanoparticle-Based Therapies for Turning Cold Tumors Hot: How to Treat an Immunosuppressive Tumor Microenvironment.

Authors:  Giulio Giustarini; Andrea Pavesi; Giulia Adriani
Journal:  Front Bioeng Biotechnol       Date:  2021-06-02
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