The somatic molecular evolution of cancer: Mutation, selection, and epistasis.
Cancer
Epistasis
Fitness landscapes
Metastasis
Molecular evolution
Tumor microenvironment
Journal
Progress in biophysics and molecular biology
ISSN: 1873-1732
Titre abrégé: Prog Biophys Mol Biol
Pays: England
ID NLM: 0401233
Informations de publication
Date de publication:
10 2021
10 2021
Historique:
received:
01
02
2021
revised:
30
07
2021
accepted:
03
08
2021
pubmed:
9
8
2021
medline:
26
11
2021
entrez:
8
8
2021
Statut:
ppublish
Résumé
Cancer progression has been attributed to somatic changes in single-nucleotide variants, copy-number aberrations, loss of heterozygosity, chromosomal instability, epistatic interactions, and the tumor microenvironment. It is not entirely clear which of these changes are essential and which are ancillary to cancer. The dynamic nature of cancer evolution in a patient can be illuminated using several concepts and tools from classical evolutionary biology. Neutral mutation rates in cancer cells are calculable from genomic data such as synonymous mutations, and selective pressures are calculable from rates of fixation occurring beyond the expectation by neutral mutation and drift. However, these cancer effect sizes of mutations are complicated by epistatic interactions that can determine the likely sequence of gene mutations. In turn, longitudinal phylogenetic analyses of somatic cancer progression offer an opportunity to identify key moments in cancer evolution, relating the timing of driver mutations to corresponding landmarks in the clinical timeline. These analyses reveal temporal aspects of genetic and phenotypic change during tumorigenesis and across clinical timescales. Using a related framework, clonal deconvolution, physical locations of clones, and their phylogenetic relations can be used to infer tumor migration histories. Additionally, genetic interactions with the tumor microenvironment can be analyzed with longstanding approaches applied to organismal genotype-by-environment interactions. Fitness landscapes for cancer evolution relating to genotype, phenotype, and environment could enable more accurate, personalized therapeutic strategies. An understanding of the trajectories underlying the evolution of neoplasms, primary, and metastatic tumors promises fundamental advances toward accurate and personalized predictions of therapeutic response.
Identifiants
pubmed: 34364910
pii: S0079-6107(21)00096-1
doi: 10.1016/j.pbiomolbio.2021.08.003
pmc: PMC8819680
mid: NIHMS1774569
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
56-65Subventions
Organisme : NIDCR NIH HHS
ID : P50 DE030707
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM013385
Pays : United States
Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: JPT is consulting for Agios Pharmaceuticals, Servier Pharmaceuticals, and Black Diamond Therapeutics. All other declare no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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