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Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations

SIMPLE SUMMARY: While chemoresistance remains a major barrier to improving the outcomes for patients with ovarian cancer, the molecular features, and associated biological functions, which underpin chemoresistance in ovarian cancer remain poorly understood. In this study we aimed to provide insight...

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Autores principales: Acland, Mitchell, Lokman, Noor A., Young, Clifford, Anderson, Dovile, Condina, Mark, Desire, Chris, Noye, Tannith M., Wang, Wanqi, Ricciardelli, Carmela, Creek, Darren J., Oehler, Martin K., Hoffmann, Peter, Klingler-Hoffmann, Manuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9179525/
https://www.ncbi.nlm.nih.gov/pubmed/35681748
http://dx.doi.org/10.3390/cancers14112763
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author Acland, Mitchell
Lokman, Noor A.
Young, Clifford
Anderson, Dovile
Condina, Mark
Desire, Chris
Noye, Tannith M.
Wang, Wanqi
Ricciardelli, Carmela
Creek, Darren J.
Oehler, Martin K.
Hoffmann, Peter
Klingler-Hoffmann, Manuela
author_facet Acland, Mitchell
Lokman, Noor A.
Young, Clifford
Anderson, Dovile
Condina, Mark
Desire, Chris
Noye, Tannith M.
Wang, Wanqi
Ricciardelli, Carmela
Creek, Darren J.
Oehler, Martin K.
Hoffmann, Peter
Klingler-Hoffmann, Manuela
author_sort Acland, Mitchell
collection PubMed
description SIMPLE SUMMARY: While chemoresistance remains a major barrier to improving the outcomes for patients with ovarian cancer, the molecular features, and associated biological functions, which underpin chemoresistance in ovarian cancer remain poorly understood. In this study we aimed to provide insight into the proteins and metabolites, and their associated biological pathways, which play a role in conferring chemoresistance to ovarian cancer. Through mass spectrometry analysis comparing the proteome and metabolome of chemosensitive vs chemoresistant ovarian cancer cell lines we revealed numerous perturbations in signalling and metabolic pathways in chemoresistant cells. Further comparison to primary cells taken from patients with chemoresistant or chemosensitive disease identified a shared dysregulation in cytokine and type 1 interferon signalling. Our research sets the foundation for a deeper understanding of the proteomic and metabolomic features of chemoresistance and identifies type 1 interferon signalling as a common feature of chemoresistance. ABSTRACT: Chemoresistance remains the major barrier to effective ovarian cancer treatment. The molecular features and associated biological functions of this phenotype remain poorly understood. We developed carboplatin-resistant cell line models using OVCAR5 and CaOV3 cell lines with the aim of identifying chemoresistance-specific molecular features. Chemotaxis and CAM invasion assays revealed enhanced migratory and invasive potential in OVCAR5-resistant, compared to parental cell lines. Mass spectrometry analysis was used to analyse the metabolome and proteome of these cell lines, and was able to separate these populations based on their molecular features. It revealed signalling and metabolic perturbations in the chemoresistant cell lines. A comparison with the proteome of patient-derived primary ovarian cancer cells grown in culture showed a shared dysregulation of cytokine and type 1 interferon signalling, potentially revealing a common molecular feature of chemoresistance. A comprehensive analysis of a larger patient cohort, including advanced in vitro and in vivo models, promises to assist with better understanding the molecular mechanisms of chemoresistance and the associated enhancement of migration and invasion.
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spelling pubmed-91795252022-06-10 Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations Acland, Mitchell Lokman, Noor A. Young, Clifford Anderson, Dovile Condina, Mark Desire, Chris Noye, Tannith M. Wang, Wanqi Ricciardelli, Carmela Creek, Darren J. Oehler, Martin K. Hoffmann, Peter Klingler-Hoffmann, Manuela Cancers (Basel) Article SIMPLE SUMMARY: While chemoresistance remains a major barrier to improving the outcomes for patients with ovarian cancer, the molecular features, and associated biological functions, which underpin chemoresistance in ovarian cancer remain poorly understood. In this study we aimed to provide insight into the proteins and metabolites, and their associated biological pathways, which play a role in conferring chemoresistance to ovarian cancer. Through mass spectrometry analysis comparing the proteome and metabolome of chemosensitive vs chemoresistant ovarian cancer cell lines we revealed numerous perturbations in signalling and metabolic pathways in chemoresistant cells. Further comparison to primary cells taken from patients with chemoresistant or chemosensitive disease identified a shared dysregulation in cytokine and type 1 interferon signalling. Our research sets the foundation for a deeper understanding of the proteomic and metabolomic features of chemoresistance and identifies type 1 interferon signalling as a common feature of chemoresistance. ABSTRACT: Chemoresistance remains the major barrier to effective ovarian cancer treatment. The molecular features and associated biological functions of this phenotype remain poorly understood. We developed carboplatin-resistant cell line models using OVCAR5 and CaOV3 cell lines with the aim of identifying chemoresistance-specific molecular features. Chemotaxis and CAM invasion assays revealed enhanced migratory and invasive potential in OVCAR5-resistant, compared to parental cell lines. Mass spectrometry analysis was used to analyse the metabolome and proteome of these cell lines, and was able to separate these populations based on their molecular features. It revealed signalling and metabolic perturbations in the chemoresistant cell lines. A comparison with the proteome of patient-derived primary ovarian cancer cells grown in culture showed a shared dysregulation of cytokine and type 1 interferon signalling, potentially revealing a common molecular feature of chemoresistance. A comprehensive analysis of a larger patient cohort, including advanced in vitro and in vivo models, promises to assist with better understanding the molecular mechanisms of chemoresistance and the associated enhancement of migration and invasion. MDPI 2022-06-02 /pmc/articles/PMC9179525/ /pubmed/35681748 http://dx.doi.org/10.3390/cancers14112763 Text en © 2022 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
Acland, Mitchell
Lokman, Noor A.
Young, Clifford
Anderson, Dovile
Condina, Mark
Desire, Chris
Noye, Tannith M.
Wang, Wanqi
Ricciardelli, Carmela
Creek, Darren J.
Oehler, Martin K.
Hoffmann, Peter
Klingler-Hoffmann, Manuela
Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations
title Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations
title_full Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations
title_fullStr Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations
title_full_unstemmed Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations
title_short Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations
title_sort chemoresistant cancer cell lines are characterized by migratory, amino acid metabolism, protein catabolism and ifn1 signalling perturbations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9179525/
https://www.ncbi.nlm.nih.gov/pubmed/35681748
http://dx.doi.org/10.3390/cancers14112763
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