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Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models

SIMPLE SUMMARY: Cell migration is a key factor in the spread of metastatic tumors and a major contributor to cancer-related mortality. However, our comprehension of the underlying mechanisms remains incomplete. In this study, we utilized a wound healing assay to explore the migration and invasion of...

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Autores principales: Migliaccio, Giorgia, Ferraro, Rosalia, Wang, Zhihui, Cristini, Vittorio, Dogra, Prashant, Caserta, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647277/
https://www.ncbi.nlm.nih.gov/pubmed/37958456
http://dx.doi.org/10.3390/cancers15215284
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author Migliaccio, Giorgia
Ferraro, Rosalia
Wang, Zhihui
Cristini, Vittorio
Dogra, Prashant
Caserta, Sergio
author_facet Migliaccio, Giorgia
Ferraro, Rosalia
Wang, Zhihui
Cristini, Vittorio
Dogra, Prashant
Caserta, Sergio
author_sort Migliaccio, Giorgia
collection PubMed
description SIMPLE SUMMARY: Cell migration is a key factor in the spread of metastatic tumors and a major contributor to cancer-related mortality. However, our comprehension of the underlying mechanisms remains incomplete. In this study, we utilized a wound healing assay to explore the migration and invasion of cancer cells in the context of metastasis. We developed a computational model using cellular automata, rigorously calibrated and validated with in vitro data from both tumor and non-tumor cell lines, offering a potent resource. This novel approach is of immense value to the pharmaceutical sector for discovering compounds that can impede cell migration, evaluating the efficacy of potential drugs to hinder cancer invasion, and assessing immune system responses. It stands as a breakthrough in the quest for more effective cancer therapies. ABSTRACT: Purpose: Cell migration is a critical driver of metastatic tumor spread, contributing significantly to cancer-related mortality. Yet, our understanding of the underlying mechanisms remains incomplete. Methods: In this study, a wound healing assay was employed to investigate cancer cell migratory behavior, with the aim of utilizing migration as a biomarker for invasiveness. To gain a comprehensive understanding of this complex system, we developed a computational model based on cellular automata (CA) and rigorously calibrated and validated it using in vitro data, including both tumoral and non-tumoral cell lines. Harnessing this CA-based framework, extensive numerical experiments were conducted and supported by local and global sensitivity analyses in order to identify the key biological parameters governing this process. Results: Our analyses led to the formulation of a power law equation derived from just a few input parameters that accurately describes the governing mechanism of wound healing. This groundbreaking research provides a powerful tool for the pharmaceutical industry. In fact, this approach proves invaluable for the discovery of novel compounds aimed at disrupting cell migration, assessing the efficacy of prospective drugs designed to impede cancer invasion, and evaluating the immune system’s responses.
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spelling pubmed-106472772023-11-03 Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models Migliaccio, Giorgia Ferraro, Rosalia Wang, Zhihui Cristini, Vittorio Dogra, Prashant Caserta, Sergio Cancers (Basel) Article SIMPLE SUMMARY: Cell migration is a key factor in the spread of metastatic tumors and a major contributor to cancer-related mortality. However, our comprehension of the underlying mechanisms remains incomplete. In this study, we utilized a wound healing assay to explore the migration and invasion of cancer cells in the context of metastasis. We developed a computational model using cellular automata, rigorously calibrated and validated with in vitro data from both tumor and non-tumor cell lines, offering a potent resource. This novel approach is of immense value to the pharmaceutical sector for discovering compounds that can impede cell migration, evaluating the efficacy of potential drugs to hinder cancer invasion, and assessing immune system responses. It stands as a breakthrough in the quest for more effective cancer therapies. ABSTRACT: Purpose: Cell migration is a critical driver of metastatic tumor spread, contributing significantly to cancer-related mortality. Yet, our understanding of the underlying mechanisms remains incomplete. Methods: In this study, a wound healing assay was employed to investigate cancer cell migratory behavior, with the aim of utilizing migration as a biomarker for invasiveness. To gain a comprehensive understanding of this complex system, we developed a computational model based on cellular automata (CA) and rigorously calibrated and validated it using in vitro data, including both tumoral and non-tumoral cell lines. Harnessing this CA-based framework, extensive numerical experiments were conducted and supported by local and global sensitivity analyses in order to identify the key biological parameters governing this process. Results: Our analyses led to the formulation of a power law equation derived from just a few input parameters that accurately describes the governing mechanism of wound healing. This groundbreaking research provides a powerful tool for the pharmaceutical industry. In fact, this approach proves invaluable for the discovery of novel compounds aimed at disrupting cell migration, assessing the efficacy of prospective drugs designed to impede cancer invasion, and evaluating the immune system’s responses. MDPI 2023-11-03 /pmc/articles/PMC10647277/ /pubmed/37958456 http://dx.doi.org/10.3390/cancers15215284 Text en © 2023 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
Migliaccio, Giorgia
Ferraro, Rosalia
Wang, Zhihui
Cristini, Vittorio
Dogra, Prashant
Caserta, Sergio
Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
title Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
title_full Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
title_fullStr Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
title_full_unstemmed Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
title_short Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
title_sort exploring cell migration mechanisms in cancer: from wound healing assays to cellular automata models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647277/
https://www.ncbi.nlm.nih.gov/pubmed/37958456
http://dx.doi.org/10.3390/cancers15215284
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