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Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease
Genomic analysis of ovarian cancer cell lines has revealed a panel that best represents the most common ovarian cancer subtype, high-grade serous ovarian cancer (HGSOC). However, these HGSOC-like cell lines have not been extensively applied by ovarian cancer researchers to date, and the most commonl...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078053/ https://www.ncbi.nlm.nih.gov/pubmed/27147568 http://dx.doi.org/10.18632/oncotarget.9053 |
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author | Haley, James Tomar, Sunil Pulliam, Nicholas Xiong, Sen Perkins, Susan M. Karpf, Adam R. Mitra, Sumegha Nephew, Kenneth P. Mitra, Anirban K. |
author_facet | Haley, James Tomar, Sunil Pulliam, Nicholas Xiong, Sen Perkins, Susan M. Karpf, Adam R. Mitra, Sumegha Nephew, Kenneth P. Mitra, Anirban K. |
author_sort | Haley, James |
collection | PubMed |
description | Genomic analysis of ovarian cancer cell lines has revealed a panel that best represents the most common ovarian cancer subtype, high-grade serous ovarian cancer (HGSOC). However, these HGSOC-like cell lines have not been extensively applied by ovarian cancer researchers to date, and the most commonly used cell lines in the ovarian cancer field do not genetically resemble the major clinical type of the disease. For the HGSOC-like lines to serve as suitable models, they need to be characterized for common functional assays. To achieve that objective, we systematically studied a panel of HGSOC cells CAOV3, COV362, Kuramochi, OVCAR4, OVCAR5, OVCAR8, OVSAHO and SNU119 for migration, invasion, proliferation, clonogenicity, EMT phenotype and cisplatin resistance. They exhibited a range of efficacies and OVCAR5, OVCAR8 and Kuramochi were the most aggressive. SNU119 and OVSAHO cells demonstrated the lowest functional activities. Wide differences in expression of EMT markers were observed between cell lines. SNU119 were the most epithelial and OVCAR8 had the most mesenchymal phenotype. COV362 was the most resistant to cisplatin while CAOV3 was the most sensitive. Taken together, our systematic characterization represents a valuable resource to help guide the application of HGSOC cells by the cancer research community. |
format | Online Article Text |
id | pubmed-5078053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-50780532016-10-28 Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease Haley, James Tomar, Sunil Pulliam, Nicholas Xiong, Sen Perkins, Susan M. Karpf, Adam R. Mitra, Sumegha Nephew, Kenneth P. Mitra, Anirban K. Oncotarget Research Paper Genomic analysis of ovarian cancer cell lines has revealed a panel that best represents the most common ovarian cancer subtype, high-grade serous ovarian cancer (HGSOC). However, these HGSOC-like cell lines have not been extensively applied by ovarian cancer researchers to date, and the most commonly used cell lines in the ovarian cancer field do not genetically resemble the major clinical type of the disease. For the HGSOC-like lines to serve as suitable models, they need to be characterized for common functional assays. To achieve that objective, we systematically studied a panel of HGSOC cells CAOV3, COV362, Kuramochi, OVCAR4, OVCAR5, OVCAR8, OVSAHO and SNU119 for migration, invasion, proliferation, clonogenicity, EMT phenotype and cisplatin resistance. They exhibited a range of efficacies and OVCAR5, OVCAR8 and Kuramochi were the most aggressive. SNU119 and OVSAHO cells demonstrated the lowest functional activities. Wide differences in expression of EMT markers were observed between cell lines. SNU119 were the most epithelial and OVCAR8 had the most mesenchymal phenotype. COV362 was the most resistant to cisplatin while CAOV3 was the most sensitive. Taken together, our systematic characterization represents a valuable resource to help guide the application of HGSOC cells by the cancer research community. Impact Journals LLC 2016-04-27 /pmc/articles/PMC5078053/ /pubmed/27147568 http://dx.doi.org/10.18632/oncotarget.9053 Text en Copyright: © 2016 Haley et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Haley, James Tomar, Sunil Pulliam, Nicholas Xiong, Sen Perkins, Susan M. Karpf, Adam R. Mitra, Sumegha Nephew, Kenneth P. Mitra, Anirban K. Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease |
title | Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease |
title_full | Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease |
title_fullStr | Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease |
title_full_unstemmed | Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease |
title_short | Functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease |
title_sort | functional characterization of a panel of high-grade serous ovarian cancer cell lines as representative experimental models of the disease |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078053/ https://www.ncbi.nlm.nih.gov/pubmed/27147568 http://dx.doi.org/10.18632/oncotarget.9053 |
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