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Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters

Metastasis—the ability of cancer cells to disperse throughout the body and establish new tumours at distant locations—is responsible for most cancer‐related deaths. Although both single and clusters of circulating tumour cells (CTCs) have been isolated from cancer patients, CTC clusters are generall...

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Autores principales: Campenni, Marco, May, Alexander N., Boddy, Amy, Harris, Valerie, Nedelcu, Aurora M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428819/
https://www.ncbi.nlm.nih.gov/pubmed/32821275
http://dx.doi.org/10.1111/eva.12943
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author Campenni, Marco
May, Alexander N.
Boddy, Amy
Harris, Valerie
Nedelcu, Aurora M.
author_facet Campenni, Marco
May, Alexander N.
Boddy, Amy
Harris, Valerie
Nedelcu, Aurora M.
author_sort Campenni, Marco
collection PubMed
description Metastasis—the ability of cancer cells to disperse throughout the body and establish new tumours at distant locations—is responsible for most cancer‐related deaths. Although both single and clusters of circulating tumour cells (CTCs) have been isolated from cancer patients, CTC clusters are generally associated with higher metastatic potential and worse prognosis. From an evolutionary perspective, being part of a cluster can provide cells with several benefits both in terms of survival (e.g. protection) and reproduction (group dispersal). Thus, strategies aimed at inducing cluster dissociation could decrease the metastatic potential of CTCs. However, finding agents or conditions that induce the dissociation of CTC clusters is hampered by the fact that their detection, isolation and propagation remain challenging. Here, we used a mechanistic agent‐based model to (a) investigate the response of CTC clusters of various sizes and densities to different challenges—in terms of cell survival and cluster stability, and (b) make predictions as to the combination of factors and parameter values that could decrease the fitness and metastatic potential of CTC clusters. Our model shows that the resilience and stability of CTC clusters are dependent on both their size and density. Also, CTC clusters of distinct sizes and densities respond differently to changes in resource availability, with high‐density clusters being least affected. In terms of responses to microenvironmental threats (such as drugs), increasing their intensity is, generally, least effective on high‐density clusters. Lastly, we found that combining various levels of resource availability and threat intensity can be more effective at decreasing the survival of CTC clusters than each factor alone. We suggest that the complex effects that cluster density and size showed on both the resilience and stability of the CTC clusters are likely to have significant consequences for their metastatic potential and responses to therapies.
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spelling pubmed-74288192020-08-18 Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters Campenni, Marco May, Alexander N. Boddy, Amy Harris, Valerie Nedelcu, Aurora M. Evol Appl Special Issue Original Articles Metastasis—the ability of cancer cells to disperse throughout the body and establish new tumours at distant locations—is responsible for most cancer‐related deaths. Although both single and clusters of circulating tumour cells (CTCs) have been isolated from cancer patients, CTC clusters are generally associated with higher metastatic potential and worse prognosis. From an evolutionary perspective, being part of a cluster can provide cells with several benefits both in terms of survival (e.g. protection) and reproduction (group dispersal). Thus, strategies aimed at inducing cluster dissociation could decrease the metastatic potential of CTCs. However, finding agents or conditions that induce the dissociation of CTC clusters is hampered by the fact that their detection, isolation and propagation remain challenging. Here, we used a mechanistic agent‐based model to (a) investigate the response of CTC clusters of various sizes and densities to different challenges—in terms of cell survival and cluster stability, and (b) make predictions as to the combination of factors and parameter values that could decrease the fitness and metastatic potential of CTC clusters. Our model shows that the resilience and stability of CTC clusters are dependent on both their size and density. Also, CTC clusters of distinct sizes and densities respond differently to changes in resource availability, with high‐density clusters being least affected. In terms of responses to microenvironmental threats (such as drugs), increasing their intensity is, generally, least effective on high‐density clusters. Lastly, we found that combining various levels of resource availability and threat intensity can be more effective at decreasing the survival of CTC clusters than each factor alone. We suggest that the complex effects that cluster density and size showed on both the resilience and stability of the CTC clusters are likely to have significant consequences for their metastatic potential and responses to therapies. John Wiley and Sons Inc. 2020-03-18 /pmc/articles/PMC7428819/ /pubmed/32821275 http://dx.doi.org/10.1111/eva.12943 Text en © 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Issue Original Articles
Campenni, Marco
May, Alexander N.
Boddy, Amy
Harris, Valerie
Nedelcu, Aurora M.
Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters
title Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters
title_full Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters
title_fullStr Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters
title_full_unstemmed Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters
title_short Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters
title_sort agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters
topic Special Issue Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428819/
https://www.ncbi.nlm.nih.gov/pubmed/32821275
http://dx.doi.org/10.1111/eva.12943
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