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Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms

BACKGROUND: Metastasis represents one of the most clinically important transitions in neoplastic progression. The evolution of metastasis is a puzzle because a metastatic clone is at a disadvantage in competition for space and resources with non-metastatic clones in the primary tumor. Metastatic clo...

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Detalles Bibliográficos
Autores principales: Chen, Jun, Sprouffske, Kathleen, Huang, Qihong, Maley, Carlo C.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3083389/
https://www.ncbi.nlm.nih.gov/pubmed/21556134
http://dx.doi.org/10.1371/journal.pone.0017933
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author Chen, Jun
Sprouffske, Kathleen
Huang, Qihong
Maley, Carlo C.
author_facet Chen, Jun
Sprouffske, Kathleen
Huang, Qihong
Maley, Carlo C.
author_sort Chen, Jun
collection PubMed
description BACKGROUND: Metastasis represents one of the most clinically important transitions in neoplastic progression. The evolution of metastasis is a puzzle because a metastatic clone is at a disadvantage in competition for space and resources with non-metastatic clones in the primary tumor. Metastatic clones waste some of their reproductive potential on emigrating cells with little chance of establishing metastases. We suggest that resource heterogeneity within primary tumors selects for cell migration, and that cell emigration is a by-product of that selection. METHODS AND FINDINGS: We developed an agent-based model to simulate the evolution of neoplastic cell migration. We simulated the essential dynamics of neoangiogenesis and blood vessel occlusion that lead to resource heterogeneity in neoplasms. We observed the probability and speed of cell migration that evolves with changes in parameters that control the degree of spatial and temporal resource heterogeneity. Across a broad range of realistic parameter values, increasing degrees of spatial and temporal heterogeneity select for the evolution of increased cell migration and emigration. CONCLUSIONS: We showed that variability in resources within a neoplasm (e.g. oxygen and nutrients provided by angiogenesis) is sufficient to select for cells with high motility. These cells are also more likely to emigrate from the tumor, which is the first step in metastasis and the key to the puzzle of metastasis. Thus, we have identified a novel potential solution to the puzzle of metastasis.
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spelling pubmed-30833892011-05-09 Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms Chen, Jun Sprouffske, Kathleen Huang, Qihong Maley, Carlo C. PLoS One Research Article BACKGROUND: Metastasis represents one of the most clinically important transitions in neoplastic progression. The evolution of metastasis is a puzzle because a metastatic clone is at a disadvantage in competition for space and resources with non-metastatic clones in the primary tumor. Metastatic clones waste some of their reproductive potential on emigrating cells with little chance of establishing metastases. We suggest that resource heterogeneity within primary tumors selects for cell migration, and that cell emigration is a by-product of that selection. METHODS AND FINDINGS: We developed an agent-based model to simulate the evolution of neoplastic cell migration. We simulated the essential dynamics of neoangiogenesis and blood vessel occlusion that lead to resource heterogeneity in neoplasms. We observed the probability and speed of cell migration that evolves with changes in parameters that control the degree of spatial and temporal resource heterogeneity. Across a broad range of realistic parameter values, increasing degrees of spatial and temporal heterogeneity select for the evolution of increased cell migration and emigration. CONCLUSIONS: We showed that variability in resources within a neoplasm (e.g. oxygen and nutrients provided by angiogenesis) is sufficient to select for cells with high motility. These cells are also more likely to emigrate from the tumor, which is the first step in metastasis and the key to the puzzle of metastasis. Thus, we have identified a novel potential solution to the puzzle of metastasis. Public Library of Science 2011-04-27 /pmc/articles/PMC3083389/ /pubmed/21556134 http://dx.doi.org/10.1371/journal.pone.0017933 Text en Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chen, Jun
Sprouffske, Kathleen
Huang, Qihong
Maley, Carlo C.
Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms
title Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms
title_full Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms
title_fullStr Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms
title_full_unstemmed Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms
title_short Solving the Puzzle of Metastasis: The Evolution of Cell Migration in Neoplasms
title_sort solving the puzzle of metastasis: the evolution of cell migration in neoplasms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3083389/
https://www.ncbi.nlm.nih.gov/pubmed/21556134
http://dx.doi.org/10.1371/journal.pone.0017933
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