Growth and adaptation mechanisms of tumour spheroids with time-dependent oxygen availability.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
01 2023
Historique:
received: 27 06 2022
accepted: 21 12 2022
revised: 25 01 2023
pubmed: 13 1 2023
medline: 28 1 2023
entrez: 12 1 2023
Statut: epublish

Résumé

Tumours are subject to external environmental variability. However, in vitro tumour spheroid experiments, used to understand cancer progression and develop cancer therapies, have been routinely performed for the past fifty years in constant external environments. Furthermore, spheroids are typically grown in ambient atmospheric oxygen (normoxia), whereas most in vivo tumours exist in hypoxic environments. Therefore, there are clear discrepancies between in vitro and in vivo conditions. We explore these discrepancies by combining tools from experimental biology, mathematical modelling, and statistical uncertainty quantification. Focusing on oxygen variability to develop our framework, we reveal key biological mechanisms governing tumour spheroid growth. Growing spheroids in time-dependent conditions, we identify and quantify novel biological adaptation mechanisms, including unexpected necrotic core removal, and transient reversal of the tumour spheroid growth phases.

Identifiants

pubmed: 36634128
doi: 10.1371/journal.pcbi.1010833
pii: PCOMPBIOL-D-22-00961
pmc: PMC9876349
doi:

Substances chimiques

Oxygen S88TT14065

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1010833

Informations de copyright

Copyright: © 2023 Murphy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Ryan J Murphy (RJ)

Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Gency Gunasingh (G)

Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia.

Nikolas K Haass (NK)

Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia.

Matthew J Simpson (MJ)

Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

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Classifications MeSH