Epigenetic "Drivers" of Cancer.


Journal

Journal of molecular biology
ISSN: 1089-8638
Titre abrégé: J Mol Biol
Pays: Netherlands
ID NLM: 2985088R

Informations de publication

Date de publication:
23 07 2021
Historique:
received: 21 03 2021
revised: 21 05 2021
accepted: 02 06 2021
pubmed: 14 6 2021
medline: 21 9 2021
entrez: 13 6 2021
Statut: ppublish

Résumé

Genetics is at the basis of cancer initiation and evolution, but emerging evidence indicates that mutations are not sufficient to produce cancer, indicating a role for epigenetic contributions to the different stages of tumorigenesis. While the genetic tracks of cancer have been widely investigated, the epigenetic "drivers" remain a vague definition. Gene-environment interactions can produce gene-regulatory programs that dictate pathogenesis; this implies a reciprocal relationship where environmental factors contribute to genetic mechanisms of tumorigenesis (i.e. mutagenesis) and genetic factors influence the cellular response to extrinsic stress. In this review article, we attempt to summarise the most remarkable findings demonstrating a contribution of epigenetic factors as proper "drivers" of tumorigenesis. We also try to pose attention on the relevance of epigenetic mechanisms as downstream consequences of genes versus environment interaction.

Identifiants

pubmed: 34119490
pii: S0022-2836(21)00318-1
doi: 10.1016/j.jmb.2021.167094
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

167094

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Alessio Butera (A)

TOR Centre of Excellence, University of Rome Tor Vergata, Italy.

Gerry Melino (G)

TOR Centre of Excellence, University of Rome Tor Vergata, Italy. Electronic address: melino@uniroma2.it.

Ivano Amelio (I)

TOR Centre of Excellence, University of Rome Tor Vergata, Italy; School of Life Sciences, University of Nottingham, UK. Electronic address: ivano.amelio@uniroma2.it.

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Classifications MeSH