Literature DB >> 28110020

Tumor evolution: Linear, branching, neutral or punctuated?

Alexander Davis1, Ruli Gao2, Nicholas Navin3.   

Abstract

Intratumor heterogeneity has been widely reported in human cancers, but our knowledge of how this genetic diversity emerges over time remains limited. A central challenge in studying tumor evolution is the difficulty in collecting longitudinal samples from cancer patients. Consequently, most studies have inferred tumor evolution from single time-point samples, providing very indirect information. These data have led to several competing models of tumor evolution: linear, branching, neutral and punctuated. Each model makes different assumptions regarding the timing of mutations and selection of clones, and therefore has different implications for the diagnosis and therapeutic treatment of cancer patients. Furthermore, emerging evidence suggests that models may change during tumor progression or operate concurrently for different classes of mutations. Finally, we discuss data that supports the theory that most human tumors evolve from a single cell in the normal tissue. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer?, edited by Dr. Robert A. Gatenby.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer biology; Cancer genomics; Genome evolution; Intratumor heterogeneity; Single cell genomics; Tumor evolution

Mesh:

Substances:

Year:  2017        PMID: 28110020      PMCID: PMC5558210          DOI: 10.1016/j.bbcan.2017.01.003

Source DB:  PubMed          Journal:  Biochim Biophys Acta Rev Cancer        ISSN: 0304-419X            Impact factor:   10.680


  157 in total

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Journal:  Nature       Date:  2014-11-26       Impact factor: 49.962

5.  Reproducible copy number variation patterns among single circulating tumor cells of lung cancer patients.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-09       Impact factor: 11.205

6.  Glucose-6-phosphate dehydrogenase mosaicism: utilization as a cell marker in the study of leiomyomas.

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Journal:  Science       Date:  1965-10-01       Impact factor: 47.728

7.  Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin.

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Journal:  Science       Date:  2015-05-22       Impact factor: 47.728

8.  The genomic complexity of primary human prostate cancer.

Authors:  Michael F Berger; Michael S Lawrence; Francesca Demichelis; Yotam Drier; Kristian Cibulskis; Andrey Y Sivachenko; Andrea Sboner; Raquel Esgueva; Dorothee Pflueger; Carrie Sougnez; Robert Onofrio; Scott L Carter; Kyung Park; Lukas Habegger; Lauren Ambrogio; Timothy Fennell; Melissa Parkin; Gordon Saksena; Douglas Voet; Alex H Ramos; Trevor J Pugh; Jane Wilkinson; Sheila Fisher; Wendy Winckler; Scott Mahan; Kristin Ardlie; Jennifer Baldwin; Jonathan W Simons; Naoki Kitabayashi; Theresa Y MacDonald; Philip W Kantoff; Lynda Chin; Stacey B Gabriel; Mark B Gerstein; Todd R Golub; Matthew Meyerson; Ashutosh Tewari; Eric S Lander; Gad Getz; Mark A Rubin; Levi A Garraway
Journal:  Nature       Date:  2011-02-10       Impact factor: 49.962

9.  Phylogenetic quantification of intra-tumour heterogeneity.

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Journal:  PLoS Comput Biol       Date:  2014-04-17       Impact factor: 4.475

Review 10.  Cancer genomics: one cell at a time.

Authors:  Nicholas E Navin
Journal:  Genome Biol       Date:  2014-08-30       Impact factor: 13.583

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  78 in total

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Review 2.  Colorectal cancer: genetic abnormalities, tumor progression, tumor heterogeneity, clonal evolution and tumor-initiating cells.

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Journal:  Med Sci (Basel)       Date:  2018-04-13

3.  Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution.

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4.  Multisite tumor sampling enhances the detection of intratumor heterogeneity at all different temporal stages of tumor evolution.

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Journal:  Virchows Arch       Date:  2017-08-25       Impact factor: 4.064

Review 5.  Intratumoral Heterogeneity: More Than Just Mutations.

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Review 6.  Epigenetic plasticity and the hallmarks of cancer.

Authors:  William A Flavahan; Elizabeth Gaskell; Bradley E Bernstein
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Review 7.  Advancing Cancer Research and Medicine with Single-Cell Genomics.

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Review 8.  Tumour heterogeneity and metastasis at single-cell resolution.

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Journal:  Nat Cell Biol       Date:  2018-11-26       Impact factor: 28.824

9.  TERT, BRAF, and NRAS Mutational Heterogeneity between Paired Primary and Metastatic Melanoma Tumors.

Authors:  Gregory A Chang; Jennifer M Wiggins; Broderick C Corless; Mahrukh M Syeda; Jyothirmayee S Tadepalli; Shria Blake; Nathaniel Fleming; Farbod Darvishian; Anna Pavlick; Russell Berman; Richard Shapiro; Yongzhao Shao; George Karlin-Neumann; Cindy Spittle; Iman Osman; David Polsky
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10.  Predicting clone genotypes from tumor bulk sequencing of multiple samples.

Authors:  Sayaka Miura; Karen Gomez; Oscar Murillo; Louise A Huuki; Tracy Vu; Tiffany Buturla; Sudhir Kumar
Journal:  Bioinformatics       Date:  2018-12-01       Impact factor: 6.937

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