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Genetic and epigenetic analysis of putative breast cancer stem cell models

BACKGROUND: Cancer stem cell model hypothesizes existence of a small proportion of tumor cells capable of sustaining tumor formation, self-renewal and differentiation. In breast cancer, these cells were found to be associated with CD44(+)CD24(-low) and ALDH(+) phenotype. Our study was performed to e...

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Autores principales: Balic, Marija, Schwarzenbacher, Daniela, Stanzer, Stefanie, Heitzer, Ellen, Auer, Martina, Geigl, Jochen B, Cote, Richard J, Datar, Ram H, Dandachi, Nadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3727963/
https://www.ncbi.nlm.nih.gov/pubmed/23883436
http://dx.doi.org/10.1186/1471-2407-13-358
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author Balic, Marija
Schwarzenbacher, Daniela
Stanzer, Stefanie
Heitzer, Ellen
Auer, Martina
Geigl, Jochen B
Cote, Richard J
Datar, Ram H
Dandachi, Nadia
author_facet Balic, Marija
Schwarzenbacher, Daniela
Stanzer, Stefanie
Heitzer, Ellen
Auer, Martina
Geigl, Jochen B
Cote, Richard J
Datar, Ram H
Dandachi, Nadia
author_sort Balic, Marija
collection PubMed
description BACKGROUND: Cancer stem cell model hypothesizes existence of a small proportion of tumor cells capable of sustaining tumor formation, self-renewal and differentiation. In breast cancer, these cells were found to be associated with CD44(+)CD24(-low) and ALDH(+) phenotype. Our study was performed to evaluate the suitability of current approaches for breast cancer stem cell analyses to evaluate heterogeneity of breast cancer cells through their extensive genetic and epigenetic characterization. METHODS: Breast cancer cell lines MCF7 and SUM159 were cultured in adherent conditions and as mammospheres. Flow cytometry sorting for CD44, CD24 and ALDH was performed. Sorted and unsorted populations, mammospheres and adherent cell cultures were subjected to DNA profiling by array CGH and methylation profiling by Epitect Methyl qPCR array. Methylation status of selected genes was further evaluated by pyrosequencing. Functional impact of methylation was evaluated by mRNA analysis for selected genes. RESULTS: Array CGH did not reveal any genomic differences. In contrast, putative breast cancer stem cells showed altered methylation levels of several genes compared to parental tumor cells. CONCLUSIONS: Our results underpin the hypothesis that epigenetic mechanisms seem to play a major role in the regulation of CSCs. However, it is also clear that more efficient methods for CSC enrichment are needed. This work underscores requirement of additional approaches to reveal heterogeneity within breast cancer.
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spelling pubmed-37279632013-07-31 Genetic and epigenetic analysis of putative breast cancer stem cell models Balic, Marija Schwarzenbacher, Daniela Stanzer, Stefanie Heitzer, Ellen Auer, Martina Geigl, Jochen B Cote, Richard J Datar, Ram H Dandachi, Nadia BMC Cancer Research Article BACKGROUND: Cancer stem cell model hypothesizes existence of a small proportion of tumor cells capable of sustaining tumor formation, self-renewal and differentiation. In breast cancer, these cells were found to be associated with CD44(+)CD24(-low) and ALDH(+) phenotype. Our study was performed to evaluate the suitability of current approaches for breast cancer stem cell analyses to evaluate heterogeneity of breast cancer cells through their extensive genetic and epigenetic characterization. METHODS: Breast cancer cell lines MCF7 and SUM159 were cultured in adherent conditions and as mammospheres. Flow cytometry sorting for CD44, CD24 and ALDH was performed. Sorted and unsorted populations, mammospheres and adherent cell cultures were subjected to DNA profiling by array CGH and methylation profiling by Epitect Methyl qPCR array. Methylation status of selected genes was further evaluated by pyrosequencing. Functional impact of methylation was evaluated by mRNA analysis for selected genes. RESULTS: Array CGH did not reveal any genomic differences. In contrast, putative breast cancer stem cells showed altered methylation levels of several genes compared to parental tumor cells. CONCLUSIONS: Our results underpin the hypothesis that epigenetic mechanisms seem to play a major role in the regulation of CSCs. However, it is also clear that more efficient methods for CSC enrichment are needed. This work underscores requirement of additional approaches to reveal heterogeneity within breast cancer. BioMed Central 2013-07-24 /pmc/articles/PMC3727963/ /pubmed/23883436 http://dx.doi.org/10.1186/1471-2407-13-358 Text en Copyright © 2013 Balic et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Balic, Marija
Schwarzenbacher, Daniela
Stanzer, Stefanie
Heitzer, Ellen
Auer, Martina
Geigl, Jochen B
Cote, Richard J
Datar, Ram H
Dandachi, Nadia
Genetic and epigenetic analysis of putative breast cancer stem cell models
title Genetic and epigenetic analysis of putative breast cancer stem cell models
title_full Genetic and epigenetic analysis of putative breast cancer stem cell models
title_fullStr Genetic and epigenetic analysis of putative breast cancer stem cell models
title_full_unstemmed Genetic and epigenetic analysis of putative breast cancer stem cell models
title_short Genetic and epigenetic analysis of putative breast cancer stem cell models
title_sort genetic and epigenetic analysis of putative breast cancer stem cell models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3727963/
https://www.ncbi.nlm.nih.gov/pubmed/23883436
http://dx.doi.org/10.1186/1471-2407-13-358
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