Agent‐based modelling reveals strategies to reduce the fitness and metastatic potential of circulating tumour cell clusters. (18th March 2020)

• Record Type: Journal Article
• Authors: Campenni, Marco; May, Alexander N.; Boddy, Amy; Harris, Valerie; Nedelcu, Aurora M.
• Other Names: Thomas Frédéric guestEditor.; Giraudeau Mathieu guestEditor.; Hamede Rodrigo guestEditor.; Roche Benjamin guestEditor.; Ujvari Beata guestEditor.
• Is Part Of: Evolutionary applications. Volume 13:Number 7(2020)
• Page Start: 1635
• Page End: 1650
• Publication Date: 2020-03-18
• Subjects: agent‐based model -- anoikis -- cancer -- circulating tumour cell clusters -- metastasis; Evolution (Biology) -- Periodicals; Genetics -- Periodicals; Natural selection -- Periodicals; Ecology -- Periodicals; 576.8
• DOI: 10.1111/eva.12943
• Languages: English
• ISSNs: 1752-4571

Abstract

Abstract: 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.