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Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells

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 cell...

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Detalles Bibliográficos
Autores principales: Darooneh, Amir Hossein, Kohandel, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283708/
https://www.ncbi.nlm.nih.gov/pubmed/35845999
http://dx.doi.org/10.3389/fphys.2022.865561
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author Darooneh, Amir Hossein
Kohandel, Mohammad
author_facet Darooneh, Amir Hossein
Kohandel, Mohammad
author_sort Darooneh, Amir Hossein
collection PubMed
description 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.
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spelling pubmed-92837082022-07-16 Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells Darooneh, Amir Hossein Kohandel, Mohammad Front Physiol Physiology 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. Frontiers Media S.A. 2022-07-01 /pmc/articles/PMC9283708/ /pubmed/35845999 http://dx.doi.org/10.3389/fphys.2022.865561 Text en Copyright © 2022 Darooneh and Kohandel. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Darooneh, Amir Hossein
Kohandel, Mohammad
Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells
title Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells
title_full Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells
title_fullStr Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells
title_full_unstemmed Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells
title_short Network Analysis Identifies Phase Transitions for Tumor With Interacting Cells
title_sort network analysis identifies phase transitions for tumor with interacting cells
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283708/
https://www.ncbi.nlm.nih.gov/pubmed/35845999
http://dx.doi.org/10.3389/fphys.2022.865561
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AT kohandelmohammad networkanalysisidentifiesphasetransitionsfortumorwithinteractingcells