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The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples

Epithelial ovarian cancer (EOC) is the most prevalent form of ovarian cancer and has the highest mortality rate. Novel insight into EOC is required to minimize the morbidity and mortality rates caused by recurrent, drug resistant disease. Although numerous studies have evaluated genome instability i...

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Autores principales: Penner-Goeke, Signe, Lichtensztejn, Zelda, Neufeld, Megan, Ali, Jennifer L., Altman, Alon D., Nachtigal, Mark W., McManus, Kirk J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5395197/
https://www.ncbi.nlm.nih.gov/pubmed/28376088
http://dx.doi.org/10.1371/journal.pgen.1006707
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author Penner-Goeke, Signe
Lichtensztejn, Zelda
Neufeld, Megan
Ali, Jennifer L.
Altman, Alon D.
Nachtigal, Mark W.
McManus, Kirk J.
author_facet Penner-Goeke, Signe
Lichtensztejn, Zelda
Neufeld, Megan
Ali, Jennifer L.
Altman, Alon D.
Nachtigal, Mark W.
McManus, Kirk J.
author_sort Penner-Goeke, Signe
collection PubMed
description Epithelial ovarian cancer (EOC) is the most prevalent form of ovarian cancer and has the highest mortality rate. Novel insight into EOC is required to minimize the morbidity and mortality rates caused by recurrent, drug resistant disease. Although numerous studies have evaluated genome instability in EOC, none have addressed the putative role chromosome instability (CIN) has in disease progression and drug resistance. CIN is defined as an increase in the rate at which whole chromosomes or large parts thereof are gained or lost, and can only be evaluated using approaches capable of characterizing genetic or chromosomal heterogeneity within populations of cells. Although CIN is associated with numerous cancer types, its prevalence and dynamics in EOC is unknown. In this study, we assessed CIN within serial samples collected from the ascites of five EOC patients, and in two well-established ovarian cancer cell models of drug resistance (PEO1/4 and A2780s/cp). We quantified and compared CIN (as measured by nuclear areas and CIN Score (CS) values) within and between serial samples to glean insight into the association and dynamics of CIN within EOC, with a particular focus on resistant and recurrent disease. Using quantitative, single cell analyses we determined that CIN is associated with every sample evaluated and further show that many EOC samples exhibit a large degree of nuclear size and CS value heterogeneity. We also show that CIN is dynamic and generally increases within resistant disease. Finally, we show that both drug resistance models (PEO1/4 and A2780s/cp) exhibit heterogeneity, albeit to a much lesser extent. Surprisingly, the two cell line models exhibit remarkably similar levels of CIN, as the nuclear areas and CS values are largely overlapping between the corresponding paired lines. Accordingly, these data suggest CIN may represent a novel biomarker capable of monitoring changes in EOC progression associated with drug resistance.
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spelling pubmed-53951972017-05-15 The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples Penner-Goeke, Signe Lichtensztejn, Zelda Neufeld, Megan Ali, Jennifer L. Altman, Alon D. Nachtigal, Mark W. McManus, Kirk J. PLoS Genet Research Article Epithelial ovarian cancer (EOC) is the most prevalent form of ovarian cancer and has the highest mortality rate. Novel insight into EOC is required to minimize the morbidity and mortality rates caused by recurrent, drug resistant disease. Although numerous studies have evaluated genome instability in EOC, none have addressed the putative role chromosome instability (CIN) has in disease progression and drug resistance. CIN is defined as an increase in the rate at which whole chromosomes or large parts thereof are gained or lost, and can only be evaluated using approaches capable of characterizing genetic or chromosomal heterogeneity within populations of cells. Although CIN is associated with numerous cancer types, its prevalence and dynamics in EOC is unknown. In this study, we assessed CIN within serial samples collected from the ascites of five EOC patients, and in two well-established ovarian cancer cell models of drug resistance (PEO1/4 and A2780s/cp). We quantified and compared CIN (as measured by nuclear areas and CIN Score (CS) values) within and between serial samples to glean insight into the association and dynamics of CIN within EOC, with a particular focus on resistant and recurrent disease. Using quantitative, single cell analyses we determined that CIN is associated with every sample evaluated and further show that many EOC samples exhibit a large degree of nuclear size and CS value heterogeneity. We also show that CIN is dynamic and generally increases within resistant disease. Finally, we show that both drug resistance models (PEO1/4 and A2780s/cp) exhibit heterogeneity, albeit to a much lesser extent. Surprisingly, the two cell line models exhibit remarkably similar levels of CIN, as the nuclear areas and CS values are largely overlapping between the corresponding paired lines. Accordingly, these data suggest CIN may represent a novel biomarker capable of monitoring changes in EOC progression associated with drug resistance. Public Library of Science 2017-04-04 /pmc/articles/PMC5395197/ /pubmed/28376088 http://dx.doi.org/10.1371/journal.pgen.1006707 Text en © 2017 Penner-Goeke et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Penner-Goeke, Signe
Lichtensztejn, Zelda
Neufeld, Megan
Ali, Jennifer L.
Altman, Alon D.
Nachtigal, Mark W.
McManus, Kirk J.
The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples
title The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples
title_full The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples
title_fullStr The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples
title_full_unstemmed The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples
title_short The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples
title_sort temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5395197/
https://www.ncbi.nlm.nih.gov/pubmed/28376088
http://dx.doi.org/10.1371/journal.pgen.1006707
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