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Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells

In the absence of new therapeutic strategies, chemotherapeutic drugs are the most widely used strategy against metastatic breast cancer, in spite of eliciting multiple adverse effects and having low responses with an average 5-year patient survival rate. Among the new therapeutic targets that are cu...

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Autores principales: Quiros-Fernandez, Isaac, Figueroa-Protti, Lucía, Arias-Arias, Jorge L., Brenes-Cordero, Norman, Siles, Francisco, Mora, Javier, Mora-Rodríguez, Rodrigo Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469554/
https://www.ncbi.nlm.nih.gov/pubmed/34564453
http://dx.doi.org/10.3390/metabo11090637
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author Quiros-Fernandez, Isaac
Figueroa-Protti, Lucía
Arias-Arias, Jorge L.
Brenes-Cordero, Norman
Siles, Francisco
Mora, Javier
Mora-Rodríguez, Rodrigo Antonio
author_facet Quiros-Fernandez, Isaac
Figueroa-Protti, Lucía
Arias-Arias, Jorge L.
Brenes-Cordero, Norman
Siles, Francisco
Mora, Javier
Mora-Rodríguez, Rodrigo Antonio
author_sort Quiros-Fernandez, Isaac
collection PubMed
description In the absence of new therapeutic strategies, chemotherapeutic drugs are the most widely used strategy against metastatic breast cancer, in spite of eliciting multiple adverse effects and having low responses with an average 5-year patient survival rate. Among the new therapeutic targets that are currently in clinical trials, here, we addressed the association between the regulation of the metabolic process of autophagy and the exposure of damage-associated molecular patterns associated (DAMPs) to immunogenic cell death (ICD), which has not been previously studied. After validating an mCHR-GFP tandem LC3 sensor capacity to report dynamic changes of the autophagic metabolic flux in response to external stimuli and demonstrating that both basal autophagy levels and response to diverse autophagy regulators fluctuate among different cell lines, we explored the interaction between autophagy modulators and chemotherapeutic agents in regards of cytotoxicity and ICD using three different breast cancer cell lines. Since these interactions are very complex and variable throughout different cell lines, we designed a perturbation-based model in which we propose specific modes of action of chemotherapeutic agents on the autophagic flux and the corresponding strategies of modulation to enhance the response to chemotherapy. Our results point towards a promising therapeutic potential of the metabolic regulation of autophagy to overcome chemotherapy resistance by eliciting ICD.
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spelling pubmed-84695542021-09-27 Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells Quiros-Fernandez, Isaac Figueroa-Protti, Lucía Arias-Arias, Jorge L. Brenes-Cordero, Norman Siles, Francisco Mora, Javier Mora-Rodríguez, Rodrigo Antonio Metabolites Article In the absence of new therapeutic strategies, chemotherapeutic drugs are the most widely used strategy against metastatic breast cancer, in spite of eliciting multiple adverse effects and having low responses with an average 5-year patient survival rate. Among the new therapeutic targets that are currently in clinical trials, here, we addressed the association between the regulation of the metabolic process of autophagy and the exposure of damage-associated molecular patterns associated (DAMPs) to immunogenic cell death (ICD), which has not been previously studied. After validating an mCHR-GFP tandem LC3 sensor capacity to report dynamic changes of the autophagic metabolic flux in response to external stimuli and demonstrating that both basal autophagy levels and response to diverse autophagy regulators fluctuate among different cell lines, we explored the interaction between autophagy modulators and chemotherapeutic agents in regards of cytotoxicity and ICD using three different breast cancer cell lines. Since these interactions are very complex and variable throughout different cell lines, we designed a perturbation-based model in which we propose specific modes of action of chemotherapeutic agents on the autophagic flux and the corresponding strategies of modulation to enhance the response to chemotherapy. Our results point towards a promising therapeutic potential of the metabolic regulation of autophagy to overcome chemotherapy resistance by eliciting ICD. MDPI 2021-09-18 /pmc/articles/PMC8469554/ /pubmed/34564453 http://dx.doi.org/10.3390/metabo11090637 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
Quiros-Fernandez, Isaac
Figueroa-Protti, Lucía
Arias-Arias, Jorge L.
Brenes-Cordero, Norman
Siles, Francisco
Mora, Javier
Mora-Rodríguez, Rodrigo Antonio
Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells
title Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells
title_full Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells
title_fullStr Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells
title_full_unstemmed Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells
title_short Perturbation-Based Modeling Unveils the Autophagic Modulation of Chemosensitivity and Immunogenicity in Breast Cancer Cells
title_sort perturbation-based modeling unveils the autophagic modulation of chemosensitivity and immunogenicity in breast cancer cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469554/
https://www.ncbi.nlm.nih.gov/pubmed/34564453
http://dx.doi.org/10.3390/metabo11090637
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