Persisting cancer cells are different from bacterial persisters.

bacterial persisters drug resistance drug tolerance epigenetics quiescence residual disease in cancer

Journal

Trends in cancer
ISSN: 2405-8025
Titre abrégé: Trends Cancer
Pays: United States
ID NLM: 101665956

Informations de publication

Date de publication:
29 Feb 2024
Historique:
received: 20 10 2023
revised: 22 01 2024
accepted: 02 02 2024
medline: 2 3 2024
pubmed: 2 3 2024
entrez: 1 3 2024
Statut: aheadofprint

Résumé

The persistence of drug-sensitive tumors poses a significant challenge in cancer treatment. The concept of bacterial persisters, which are a subpopulation of bacteria that survive lethal antibiotic doses, is frequently used to compare to residual disease in cancer. Here, we explore drug tolerance of cancer cells and bacteria. We highlight the fact that bacteria, in contrast to cancer cells, have been selected for survival at the population level and may therefore possess contingency mechanisms that cancer cells lack. The precise mechanisms of drug-tolerant cancer cells and bacterial persisters are still being investigated. Undoubtedly, by understanding common features as well as differences, we, in the cancer field, can learn from microbiology to find strategies to eradicate persisting cancer cells.

Identifiants

pubmed: 38429144
pii: S2405-8033(24)00028-1
doi: 10.1016/j.trecan.2024.02.002
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Morgane Decollogny (M)

Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland; Bern Center for Precision Medicine and Department for BioMedical Research, University of Bern, Bern, Switzerland.

Sven Rottenberg (S)

Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland; Bern Center for Precision Medicine and Department for BioMedical Research, University of Bern, Bern, Switzerland. Electronic address: sven.rottenberg@unibe.ch.

Classifications MeSH