Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models

Abstract Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer. Among the key challenges in developing effective therapeutics is the poor translation of preclinical models used in the drug discovery pipeline. This leaves drug attrition rates and costs at an unacceptably high level....

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Autores principales: Melica Nourmoussavi Brodeur, Kayla Simeone, Kim Leclerc-Deslauniers, Hubert Fleury, Euridice Carmona, Diane M. Provencher, Anne-Marie Mes-Masson
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:8cf5cb2dcdec424aabc6b0c6535c4a572021-12-02T18:34:01ZCarboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models10.1038/s41598-021-97434-w2045-2322https://doaj.org/article/8cf5cb2dcdec424aabc6b0c6535c4a572021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97434-whttps://doaj.org/toc/2045-2322Abstract Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer. Among the key challenges in developing effective therapeutics is the poor translation of preclinical models used in the drug discovery pipeline. This leaves drug attrition rates and costs at an unacceptably high level. Previous work has highlighted the discrepancies in therapeutic response between current in vitro and in vivo models. To address this, we conducted a comparison study to differentiate the carboplatin chemotherapy response across four different model systems including 2D monolayers, 3D spheroids, 3D ex vivo tumors and mouse xenograft models. We used six previously characterized EOC cell lines of varying chemosensitivity and performed viability assays for each model. In vivo results from the mouse model correlated with 2D response in 3/6 cell lines while they correlated with 3D spheroids and the ex vivo model in 4/6 and 5/5 cell lines, respectively. Our results emphasize the variability in therapeutic response across models and demonstrate that the carboplatin response in EOC cell lines cultured in a 3D ex vivo model correlates best with the in vivo response. These results highlight a more feasible, reliable, and cost-effective preclinical model with the highest translational potential for drug screening and prediction studies in EOC.Melica Nourmoussavi BrodeurKayla SimeoneKim Leclerc-DeslauniersHubert FleuryEuridice CarmonaDiane M. ProvencherAnne-Marie Mes-MassonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Melica Nourmoussavi Brodeur
Kayla Simeone
Kim Leclerc-Deslauniers
Hubert Fleury
Euridice Carmona
Diane M. Provencher
Anne-Marie Mes-Masson
Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models
description Abstract Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer. Among the key challenges in developing effective therapeutics is the poor translation of preclinical models used in the drug discovery pipeline. This leaves drug attrition rates and costs at an unacceptably high level. Previous work has highlighted the discrepancies in therapeutic response between current in vitro and in vivo models. To address this, we conducted a comparison study to differentiate the carboplatin chemotherapy response across four different model systems including 2D monolayers, 3D spheroids, 3D ex vivo tumors and mouse xenograft models. We used six previously characterized EOC cell lines of varying chemosensitivity and performed viability assays for each model. In vivo results from the mouse model correlated with 2D response in 3/6 cell lines while they correlated with 3D spheroids and the ex vivo model in 4/6 and 5/5 cell lines, respectively. Our results emphasize the variability in therapeutic response across models and demonstrate that the carboplatin response in EOC cell lines cultured in a 3D ex vivo model correlates best with the in vivo response. These results highlight a more feasible, reliable, and cost-effective preclinical model with the highest translational potential for drug screening and prediction studies in EOC.
format article
author Melica Nourmoussavi Brodeur
Kayla Simeone
Kim Leclerc-Deslauniers
Hubert Fleury
Euridice Carmona
Diane M. Provencher
Anne-Marie Mes-Masson
author_facet Melica Nourmoussavi Brodeur
Kayla Simeone
Kim Leclerc-Deslauniers
Hubert Fleury
Euridice Carmona
Diane M. Provencher
Anne-Marie Mes-Masson
author_sort Melica Nourmoussavi Brodeur
title Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models
title_short Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models
title_full Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models
title_fullStr Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models
title_full_unstemmed Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models
title_sort carboplatin response in preclinical models for ovarian cancer: comparison of 2d monolayers, spheroids, ex vivo tumors and in vivo models
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/8cf5cb2dcdec424aabc6b0c6535c4a57
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