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Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity
A lack of cell surface markers for the specific identification, isolation and subsequent analysis of living prostate tumor cells hampers progress in the field. Specific characterization of tumor cells and their microenvironment in a multi-parameter molecular assay could significantly improve prognos...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359234/ https://www.ncbi.nlm.nih.gov/pubmed/25514598 |
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author | Krönig, Malte Walter, Max Drendel, Vanessa Werner, Martin Jilg, Cordula A. Richter, Andreas S. Backofen, Rolf McGarry, David Follo, Marie Schultze-Seemann, Wolfgang Schüle, Roland |
author_facet | Krönig, Malte Walter, Max Drendel, Vanessa Werner, Martin Jilg, Cordula A. Richter, Andreas S. Backofen, Rolf McGarry, David Follo, Marie Schultze-Seemann, Wolfgang Schüle, Roland |
author_sort | Krönig, Malte |
collection | PubMed |
description | A lack of cell surface markers for the specific identification, isolation and subsequent analysis of living prostate tumor cells hampers progress in the field. Specific characterization of tumor cells and their microenvironment in a multi-parameter molecular assay could significantly improve prognostic accuracy for the heterogeneous prostate tumor tissue. Novel functionalized gold-nano particles allow fluorescence-based detection of absolute mRNA expression levels in living cells by fluorescent activated flow cytometry (FACS). We use of this technique to separate prostate tumor and benign cells in human prostate needle biopsies based on the expression levels of the tumor marker alpha-methylacyl-CoA racemase (AMACR). We combined RNA and protein detection of living cells by FACS to gate for epithelial cell adhesion molecule (EPCAM) positive tumor and benign cells, EPCAM/CD45 double negative mesenchymal cells and CD45 positive infiltrating lymphocytes. EPCAM positive epithelial cells were further sub-gated into AMACR high and low expressing cells. Two hundred cells from each population and several biopsies from the same patient were analyzed using a multiplexed gene expression profile to generate a cell type resolved profile of the specimen. This technique provides the basis for the clinical evaluation of cell type resolved gene expression profiles as pre-therapeutic prognostic markers for prostate cancer. |
format | Online Article Text |
id | pubmed-4359234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-43592342015-03-27 Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity Krönig, Malte Walter, Max Drendel, Vanessa Werner, Martin Jilg, Cordula A. Richter, Andreas S. Backofen, Rolf McGarry, David Follo, Marie Schultze-Seemann, Wolfgang Schüle, Roland Oncotarget Clinical Research Paper A lack of cell surface markers for the specific identification, isolation and subsequent analysis of living prostate tumor cells hampers progress in the field. Specific characterization of tumor cells and their microenvironment in a multi-parameter molecular assay could significantly improve prognostic accuracy for the heterogeneous prostate tumor tissue. Novel functionalized gold-nano particles allow fluorescence-based detection of absolute mRNA expression levels in living cells by fluorescent activated flow cytometry (FACS). We use of this technique to separate prostate tumor and benign cells in human prostate needle biopsies based on the expression levels of the tumor marker alpha-methylacyl-CoA racemase (AMACR). We combined RNA and protein detection of living cells by FACS to gate for epithelial cell adhesion molecule (EPCAM) positive tumor and benign cells, EPCAM/CD45 double negative mesenchymal cells and CD45 positive infiltrating lymphocytes. EPCAM positive epithelial cells were further sub-gated into AMACR high and low expressing cells. Two hundred cells from each population and several biopsies from the same patient were analyzed using a multiplexed gene expression profile to generate a cell type resolved profile of the specimen. This technique provides the basis for the clinical evaluation of cell type resolved gene expression profiles as pre-therapeutic prognostic markers for prostate cancer. Impact Journals LLC 2014-12-01 /pmc/articles/PMC4359234/ /pubmed/25514598 Text en Copyright: © 2015 Krönig 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 | Clinical Research Paper Krönig, Malte Walter, Max Drendel, Vanessa Werner, Martin Jilg, Cordula A. Richter, Andreas S. Backofen, Rolf McGarry, David Follo, Marie Schultze-Seemann, Wolfgang Schüle, Roland Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity |
title | Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity |
title_full | Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity |
title_fullStr | Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity |
title_full_unstemmed | Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity |
title_short | Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity |
title_sort | cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity |
topic | Clinical Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359234/ https://www.ncbi.nlm.nih.gov/pubmed/25514598 |
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