Literature DB >> 31059289

Measuring Clonal Evolution in Cancer with Genomics.

Marc J Williams1, Andrea Sottoriva2, Trevor A Graham1.   

Abstract

Cancers originate from somatic cells in the human body that have accumulated genetic alterations. These mutations modify the phenotype of the cells, allowing them to escape the homeostatic regulation that maintains normal cell number. Viewed through the lens of evolutionary biology, the transformation of normal cells into malignant cells is evolution in action. Evolution continues throughout cancer growth, progression, treatment resistance, and disease relapse, driven by adaptation to changes in the cancer's environment, and intratumor heterogeneity is an inevitable consequence of this evolutionary process. Genomics provides a powerful means to characterize tumor evolution, enabling quantitative measurement of evolving clones across space and time. In this review, we discuss concepts and approaches to quantify and measure this evolutionary process in cancer using genomics.

Entities:  

Keywords:  cancer; evolution; genomics; population genetics

Mesh:

Year:  2019        PMID: 31059289     DOI: 10.1146/annurev-genom-083117-021712

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  16 in total

1.  Multifunctional barcoding with ClonMapper enables high-resolution study of clonal dynamics during tumor evolution and treatment.

Authors:  Catherine Gutierrez; Aziz M Al'Khafaji; Eric Brenner; Kaitlyn E Johnson; Satyen H Gohil; Ziao Lin; Binyamin A Knisbacher; Russell E Durrett; Shuqiang Li; Salma Parvin; Anat Biran; Wandi Zhang; Laura Rassenti; Thomas J Kipps; Kenneth J Livak; Donna Neuberg; Anthony Letai; Gad Getz; Catherine J Wu; Amy Brock
Journal:  Nat Cancer       Date:  2021-07-12

2.  RGB-Marking to Identify Patterns of Selection and Neutral Evolution in Human Osteosarcoma Models.

Authors:  Stefano Gambera; Ana Patiño-Garcia; Arantzazu Alfranca; Javier Garcia-Castro
Journal:  Cancers (Basel)       Date:  2021-04-21       Impact factor: 6.639

Review 3.  Visualizing Human Colorectal Cancer Intratumor Heterogeneity with Phylogeography.

Authors:  Darryl Shibata
Journal:  iScience       Date:  2020-06-23

4.  Cancer cell lines show high heritability for motility but not generation time.

Authors:  Anastasia V Wass; George Butler; Tiffany B Taylor; Philip R Dash; Louise J Johnson
Journal:  R Soc Open Sci       Date:  2020-04-15       Impact factor: 2.963

5.  Cancer Community Ecology.

Authors:  Burt P Kotler; Joel S Brown
Journal:  Cancer Control       Date:  2020 Jan-Dec       Impact factor: 3.302

6.  Path to Clonal Theranostics in Luminal Breast Cancers.

Authors:  Nawale Hajjaji; Soulaimane Aboulouard; Tristan Cardon; Delphine Bertin; Yves-Marie Robin; Isabelle Fournier; Michel Salzet
Journal:  Front Oncol       Date:  2022-01-13       Impact factor: 6.244

7.  Tumors Are Evolutionary Island-Like Ecosystems.

Authors:  Antonia Chroni; Sudhir Kumar
Journal:  Genome Biol Evol       Date:  2021-12-01       Impact factor: 3.416

8.  PathFinder: Bayesian inference of clone migration histories in cancer.

Authors:  Sudhir Kumar; Antonia Chroni; Koichiro Tamura; Maxwell Sanderford; Olumide Oladeinde; Vivian Aly; Tracy Vu; Sayaka Miura
Journal:  Bioinformatics       Date:  2020-12-30       Impact factor: 6.937

9.  Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios.

Authors:  Marc J Williams; Luis Zapata; Benjamin Werner; Chris P Barnes; Andrea Sottoriva; Trevor A Graham
Journal:  Elife       Date:  2020-03-30       Impact factor: 8.140

10.  Delineation of Tumor Migration Paths by Using a Bayesian Biogeographic Approach.

Authors:  Antonia Chroni; Tracy Vu; Sayaka Miura; Sudhir Kumar
Journal:  Cancers (Basel)       Date:  2019-11-27       Impact factor: 6.639

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