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Breast cancer stem cells: tools and models to rely on
There is increasing evidence for the "cancer stem cell (CSC) hypothesis", which holds that cancers are driven by a cellular component that has stem cell properties, including self-renewal, tumorigenicity and multi-lineage differentiation capacity. Researchers and oncologists see in this mo...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708191/ https://www.ncbi.nlm.nih.gov/pubmed/19555472 http://dx.doi.org/10.1186/1471-2407-9-202 |
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author | Charafe-Jauffret, Emmanuelle Ginestier, Christophe Birnbaum, Daniel |
author_facet | Charafe-Jauffret, Emmanuelle Ginestier, Christophe Birnbaum, Daniel |
author_sort | Charafe-Jauffret, Emmanuelle |
collection | PubMed |
description | There is increasing evidence for the "cancer stem cell (CSC) hypothesis", which holds that cancers are driven by a cellular component that has stem cell properties, including self-renewal, tumorigenicity and multi-lineage differentiation capacity. Researchers and oncologists see in this model an explanation as to why cancer may be so difficult to cure, as well as a promising ground for novel therapeutic strategies. Given the specific stem cell features of self-renewal and differentiation, which drive tumorigenesis and contribute to cellular heterogeneity, each marker and assay designed to isolate and characterize CSCs has to be functionally validated. In this review, we survey tools and markers available or promising to identify breast CSCs. We review the main models used to study breast CSCs and how they challenge the CSC hypothesis. |
format | Text |
id | pubmed-2708191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27081912009-07-09 Breast cancer stem cells: tools and models to rely on Charafe-Jauffret, Emmanuelle Ginestier, Christophe Birnbaum, Daniel BMC Cancer Review There is increasing evidence for the "cancer stem cell (CSC) hypothesis", which holds that cancers are driven by a cellular component that has stem cell properties, including self-renewal, tumorigenicity and multi-lineage differentiation capacity. Researchers and oncologists see in this model an explanation as to why cancer may be so difficult to cure, as well as a promising ground for novel therapeutic strategies. Given the specific stem cell features of self-renewal and differentiation, which drive tumorigenesis and contribute to cellular heterogeneity, each marker and assay designed to isolate and characterize CSCs has to be functionally validated. In this review, we survey tools and markers available or promising to identify breast CSCs. We review the main models used to study breast CSCs and how they challenge the CSC hypothesis. BioMed Central 2009-06-25 /pmc/articles/PMC2708191/ /pubmed/19555472 http://dx.doi.org/10.1186/1471-2407-9-202 Text en Copyright ©2009 Charafe-Jauffret 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 | Review Charafe-Jauffret, Emmanuelle Ginestier, Christophe Birnbaum, Daniel Breast cancer stem cells: tools and models to rely on |
title | Breast cancer stem cells: tools and models to rely on |
title_full | Breast cancer stem cells: tools and models to rely on |
title_fullStr | Breast cancer stem cells: tools and models to rely on |
title_full_unstemmed | Breast cancer stem cells: tools and models to rely on |
title_short | Breast cancer stem cells: tools and models to rely on |
title_sort | breast cancer stem cells: tools and models to rely on |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708191/ https://www.ncbi.nlm.nih.gov/pubmed/19555472 http://dx.doi.org/10.1186/1471-2407-9-202 |
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