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Is There One Key Step in the Metastatic Cascade?

SIMPLE SUMMARY: To successfully metastasize, cancer cells must complete a sequence of obligatory steps called the metastatic cascade. To model the metastatic cascade, we used the framework of the Drake equation, initially created to describe the emergence of intelligent life in the Milky way, using...

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Autores principales: Dujon, Antoine M., Capp, Jean-Pascal, Brown, Joel S., Pujol, Pascal, Gatenby, Robert A., Ujvari, Beata, Alix-Panabières, Catherine, Thomas, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345184/
https://www.ncbi.nlm.nih.gov/pubmed/34359593
http://dx.doi.org/10.3390/cancers13153693
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author Dujon, Antoine M.
Capp, Jean-Pascal
Brown, Joel S.
Pujol, Pascal
Gatenby, Robert A.
Ujvari, Beata
Alix-Panabières, Catherine
Thomas, Frédéric
author_facet Dujon, Antoine M.
Capp, Jean-Pascal
Brown, Joel S.
Pujol, Pascal
Gatenby, Robert A.
Ujvari, Beata
Alix-Panabières, Catherine
Thomas, Frédéric
author_sort Dujon, Antoine M.
collection PubMed
description SIMPLE SUMMARY: To successfully metastasize, cancer cells must complete a sequence of obligatory steps called the metastatic cascade. To model the metastatic cascade, we used the framework of the Drake equation, initially created to describe the emergence of intelligent life in the Milky way, using a similar logic of a sequence of obligatory steps. Then within this framework, we used simulations on breast cancer to investigate the contribution of each step to the metastatic cascade. We show that the half-life of circulating tumor cells is one of the most important parameters in the cascade, suggesting that therapies reducing the survival of those cells in the vascular system could significantly reduce the risk of metastasis. ABSTRACT: The majority of cancer-related deaths are the result of metastases (i.e., dissemination and establishment of tumor cells at distant sites from the origin), which develop through a multi-step process classically termed the metastatic cascade. The respective contributions of each step to the metastatic process are well described but are also currently not completely understood. Is there, for example, a critical phase that disproportionately affects the probability of the development of metastases in individual patients? Here, we address this question using a modified Drake equation, initially formulated by the astrophysicist Frank Drake to estimate the probability of the emergence of intelligent civilizations in the Milky Way. Using simulations based on realistic parameter values obtained from the literature for breast cancer, we examine, under the linear progression hypothesis, the contribution of each component of the metastatic cascade. Simulations demonstrate that the most critical parameter governing the formation of clinical metastases is the survival duration of circulating tumor cells (CTCs).
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spelling pubmed-83451842021-08-07 Is There One Key Step in the Metastatic Cascade? Dujon, Antoine M. Capp, Jean-Pascal Brown, Joel S. Pujol, Pascal Gatenby, Robert A. Ujvari, Beata Alix-Panabières, Catherine Thomas, Frédéric Cancers (Basel) Article SIMPLE SUMMARY: To successfully metastasize, cancer cells must complete a sequence of obligatory steps called the metastatic cascade. To model the metastatic cascade, we used the framework of the Drake equation, initially created to describe the emergence of intelligent life in the Milky way, using a similar logic of a sequence of obligatory steps. Then within this framework, we used simulations on breast cancer to investigate the contribution of each step to the metastatic cascade. We show that the half-life of circulating tumor cells is one of the most important parameters in the cascade, suggesting that therapies reducing the survival of those cells in the vascular system could significantly reduce the risk of metastasis. ABSTRACT: The majority of cancer-related deaths are the result of metastases (i.e., dissemination and establishment of tumor cells at distant sites from the origin), which develop through a multi-step process classically termed the metastatic cascade. The respective contributions of each step to the metastatic process are well described but are also currently not completely understood. Is there, for example, a critical phase that disproportionately affects the probability of the development of metastases in individual patients? Here, we address this question using a modified Drake equation, initially formulated by the astrophysicist Frank Drake to estimate the probability of the emergence of intelligent civilizations in the Milky Way. Using simulations based on realistic parameter values obtained from the literature for breast cancer, we examine, under the linear progression hypothesis, the contribution of each component of the metastatic cascade. Simulations demonstrate that the most critical parameter governing the formation of clinical metastases is the survival duration of circulating tumor cells (CTCs). MDPI 2021-07-22 /pmc/articles/PMC8345184/ /pubmed/34359593 http://dx.doi.org/10.3390/cancers13153693 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dujon, Antoine M.
Capp, Jean-Pascal
Brown, Joel S.
Pujol, Pascal
Gatenby, Robert A.
Ujvari, Beata
Alix-Panabières, Catherine
Thomas, Frédéric
Is There One Key Step in the Metastatic Cascade?
title Is There One Key Step in the Metastatic Cascade?
title_full Is There One Key Step in the Metastatic Cascade?
title_fullStr Is There One Key Step in the Metastatic Cascade?
title_full_unstemmed Is There One Key Step in the Metastatic Cascade?
title_short Is There One Key Step in the Metastatic Cascade?
title_sort is there one key step in the metastatic cascade?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345184/
https://www.ncbi.nlm.nih.gov/pubmed/34359593
http://dx.doi.org/10.3390/cancers13153693
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