Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect.


Journal

PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755

Informations de publication

Date de publication:
08 2019
Historique:
received: 19 03 2019
accepted: 08 07 2019
revised: 15 08 2019
pubmed: 6 8 2019
medline: 28 2 2020
entrez: 6 8 2019
Statut: epublish

Résumé

Most models of cancer cell population expansion assume exponential growth kinetics at low cell densities, with deviations to account for observed slowing of growth rate only at higher densities due to limited resources such as space and nutrients. However, recent preclinical and clinical observations of tumor initiation or recurrence indicate the presence of tumor growth kinetics in which growth rates scale positively with cell numbers. These observations are analogous to the cooperative behavior of species in an ecosystem described by the ecological principle of the Allee effect. In preclinical and clinical models, however, tumor growth data are limited by the lower limit of detection (i.e., a measurable lesion) and confounding variables, such as tumor microenvironment, and immune responses may cause and mask deviations from exponential growth models. In this work, we present alternative growth models to investigate the presence of an Allee effect in cancer cells seeded at low cell densities in a controlled in vitro setting. We propose a stochastic modeling framework to disentangle expected deviations due to small population size stochastic effects from cooperative growth and use the moment approach for stochastic parameter estimation to calibrate the observed growth trajectories. We validate the framework on simulated data and apply this approach to longitudinal cell proliferation data of BT-474 luminal B breast cancer cells. We find that cell population growth kinetics are best described by a model structure that considers the Allee effect, in that the birth rate of tumor cells increases with cell number in the regime of small population size. This indicates a potentially critical role of cooperative behavior among tumor cells at low cell densities with relevance to early stage growth patterns of emerging and relapsed tumors.

Identifiants

pubmed: 31381560
doi: 10.1371/journal.pbio.3000399
pii: PBIOLOGY-D-19-00785
pmc: PMC6695196
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

e3000399

Subventions

Organisme : NCI NIH HHS
ID : R01 CA226258
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA174706
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA186193
Pays : United States

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Kaitlyn E Johnson (KE)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.

Grant Howard (G)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.

William Mo (W)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.

Michael K Strasser (MK)

Institute for Systems Biology, Seattle, Washington, United States of America.

Ernesto A B F Lima (EABF)

Institute for Computation Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America.

Sui Huang (S)

Institute for Systems Biology, Seattle, Washington, United States of America.

Amy Brock (A)

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.
Department of Oncology, Livestrong Cancer Institute, Dell Medical School, The University of Texas at Austin, Austin, Texas, United States of America.

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