Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells.
Brownian dynamics (BD)
interacting cells
metastasis
network analysis
phase transition
tumor growth
Journal
Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006
Informations de publication
Date de publication:
2022
2022
Historique:
received:
30
01
2022
accepted:
17
05
2022
entrez:
18
7
2022
pubmed:
19
7
2022
medline:
19
7
2022
Statut:
epublish
Résumé
Metastasis is the process by which cancer cells acquire the capability to leave the primary tumor and travel to distant sites. Recent experiments have suggested that the epithelial-mesenchymal transition can regulate invasion and metastasis. Another possible scenario is the collective motion of cells. Recent studies have also proposed a jamming-unjamming transition for epithelial cells based on physical forces. Here, we assume that there exists a short-range chemical attraction between cancer cells and employ the Brownian dynamics to simulate tumor growth. Applying the network analysis, we suggest three possible phases for a given tumor and study the transition between these phases by adjusting the attraction strength.
Identifiants
pubmed: 35845999
doi: 10.3389/fphys.2022.865561
pii: 865561
pmc: PMC9283708
doi:
Types de publication
Journal Article
Langues
eng
Pagination
865561Informations de copyright
Copyright © 2022 Darooneh and Kohandel.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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