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Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease

Cancer cell lines are amongst the most important pre-clinical models. In the context of epithelial ovarian cancer, a highly heterogeneous disease with diverse subtypes, it is paramount to study a wide panel of models in order to draw a representative picture of the disease. As this lethal gynaecolog...

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Autores principales: Sauriol, Alexandre, Simeone, Kayla, Portelance, Lise, Meunier, Liliane, Leclerc-Desaulniers, Kim, de Ladurantaye, Manon, Chergui, Meriem, Kendall-Dupont, Jennifer, Rahimi, Kurosh, Carmona, Euridice, Provencher, Diane M., Mes-Masson, Anne-Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465288/
https://www.ncbi.nlm.nih.gov/pubmed/32784519
http://dx.doi.org/10.3390/cancers12082222
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author Sauriol, Alexandre
Simeone, Kayla
Portelance, Lise
Meunier, Liliane
Leclerc-Desaulniers, Kim
de Ladurantaye, Manon
Chergui, Meriem
Kendall-Dupont, Jennifer
Rahimi, Kurosh
Carmona, Euridice
Provencher, Diane M.
Mes-Masson, Anne-Marie
author_facet Sauriol, Alexandre
Simeone, Kayla
Portelance, Lise
Meunier, Liliane
Leclerc-Desaulniers, Kim
de Ladurantaye, Manon
Chergui, Meriem
Kendall-Dupont, Jennifer
Rahimi, Kurosh
Carmona, Euridice
Provencher, Diane M.
Mes-Masson, Anne-Marie
author_sort Sauriol, Alexandre
collection PubMed
description Cancer cell lines are amongst the most important pre-clinical models. In the context of epithelial ovarian cancer, a highly heterogeneous disease with diverse subtypes, it is paramount to study a wide panel of models in order to draw a representative picture of the disease. As this lethal gynaecological malignancy has seen little improvement in overall survival in the last decade, it is all the more pressing to support future research with robust and diverse study models. Here, we describe ten novel spontaneously immortalized patient-derived ovarian cancer cell lines, detailing their respective mutational profiles and gene/biomarker expression patterns, as well as their in vitro and in vivo growth characteristics. Eight of the cell lines were classified as high-grade serous, while two were determined to be of the rarer mucinous and clear cell subtypes, respectively. Each of the ten cell lines presents a panel of characteristics reflective of diverse clinically relevant phenomena, including chemotherapeutic resistance, metastatic potential, and subtype-associated mutations and gene/protein expression profiles. Importantly, four cell lines formed subcutaneous tumors in mice, a key characteristic for pre-clinical drug testing. Our work thus contributes significantly to the available models for the study of ovarian cancer, supplying additional tools to better understand this complex disease.
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spelling pubmed-74652882020-09-04 Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease Sauriol, Alexandre Simeone, Kayla Portelance, Lise Meunier, Liliane Leclerc-Desaulniers, Kim de Ladurantaye, Manon Chergui, Meriem Kendall-Dupont, Jennifer Rahimi, Kurosh Carmona, Euridice Provencher, Diane M. Mes-Masson, Anne-Marie Cancers (Basel) Article Cancer cell lines are amongst the most important pre-clinical models. In the context of epithelial ovarian cancer, a highly heterogeneous disease with diverse subtypes, it is paramount to study a wide panel of models in order to draw a representative picture of the disease. As this lethal gynaecological malignancy has seen little improvement in overall survival in the last decade, it is all the more pressing to support future research with robust and diverse study models. Here, we describe ten novel spontaneously immortalized patient-derived ovarian cancer cell lines, detailing their respective mutational profiles and gene/biomarker expression patterns, as well as their in vitro and in vivo growth characteristics. Eight of the cell lines were classified as high-grade serous, while two were determined to be of the rarer mucinous and clear cell subtypes, respectively. Each of the ten cell lines presents a panel of characteristics reflective of diverse clinically relevant phenomena, including chemotherapeutic resistance, metastatic potential, and subtype-associated mutations and gene/protein expression profiles. Importantly, four cell lines formed subcutaneous tumors in mice, a key characteristic for pre-clinical drug testing. Our work thus contributes significantly to the available models for the study of ovarian cancer, supplying additional tools to better understand this complex disease. MDPI 2020-08-08 /pmc/articles/PMC7465288/ /pubmed/32784519 http://dx.doi.org/10.3390/cancers12082222 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sauriol, Alexandre
Simeone, Kayla
Portelance, Lise
Meunier, Liliane
Leclerc-Desaulniers, Kim
de Ladurantaye, Manon
Chergui, Meriem
Kendall-Dupont, Jennifer
Rahimi, Kurosh
Carmona, Euridice
Provencher, Diane M.
Mes-Masson, Anne-Marie
Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease
title Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease
title_full Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease
title_fullStr Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease
title_full_unstemmed Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease
title_short Modeling the Diversity of Epithelial Ovarian Cancer through Ten Novel Well Characterized Cell Lines Covering Multiple Subtypes of the Disease
title_sort modeling the diversity of epithelial ovarian cancer through ten novel well characterized cell lines covering multiple subtypes of the disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465288/
https://www.ncbi.nlm.nih.gov/pubmed/32784519
http://dx.doi.org/10.3390/cancers12082222
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