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Isolation of circulating tumor cells from pancreatic cancer by automated filtration
It is now widely recognized that the isolation of circulating tumor cells based on cell surface markers might be hindered by variability in their protein expression. Especially in pancreatic cancer, isolation based only on EpCAM expression has produced very diverse results. Methods that are independ...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689673/ https://www.ncbi.nlm.nih.gov/pubmed/29156783 http://dx.doi.org/10.18632/oncotarget.21026 |
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author | Brychta, Nora Drosch, Michael Driemel, Christiane Fischer, Johannes C. Neves, Rui P. Esposito, Irene Knoefel, Wolfram Möhlendick, Birte Hille, Claudia Stresemann, Antje Krahn, Thomas Kassack, Matthias U. Stoecklein, Nikolas H. von Ahsen, Oliver |
author_facet | Brychta, Nora Drosch, Michael Driemel, Christiane Fischer, Johannes C. Neves, Rui P. Esposito, Irene Knoefel, Wolfram Möhlendick, Birte Hille, Claudia Stresemann, Antje Krahn, Thomas Kassack, Matthias U. Stoecklein, Nikolas H. von Ahsen, Oliver |
author_sort | Brychta, Nora |
collection | PubMed |
description | It is now widely recognized that the isolation of circulating tumor cells based on cell surface markers might be hindered by variability in their protein expression. Especially in pancreatic cancer, isolation based only on EpCAM expression has produced very diverse results. Methods that are independent of surface markers and therefore independent of phenotypical changes in the circulating cells might increase CTC recovery also in pancreatic cancer. We compared an EpCAM-dependent (IsoFlux) and a size-dependent (automated Siemens Healthineers filtration device) isolation method for the enrichment of pancreatic cancer CTCs. The recovery rate of the filtration based approach is dramatically superior to the EpCAM-dependent approach especially for cells with low EpCAM-expression (filtration: 52%, EpCAM-dependent: 1%). As storage and shipment of clinical samples is important for centralized analyses, we also evaluated the use of frozen diagnostic leukapheresis (DLA) as source for isolating CTCs and subsequent genetic analysis such as KRAS mutation detection analysis. Using frozen DLA samples of pancreatic cancer patients we detected CTCs in 42% of the samples by automated filtration. |
format | Online Article Text |
id | pubmed-5689673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56896732017-11-17 Isolation of circulating tumor cells from pancreatic cancer by automated filtration Brychta, Nora Drosch, Michael Driemel, Christiane Fischer, Johannes C. Neves, Rui P. Esposito, Irene Knoefel, Wolfram Möhlendick, Birte Hille, Claudia Stresemann, Antje Krahn, Thomas Kassack, Matthias U. Stoecklein, Nikolas H. von Ahsen, Oliver Oncotarget Research Paper It is now widely recognized that the isolation of circulating tumor cells based on cell surface markers might be hindered by variability in their protein expression. Especially in pancreatic cancer, isolation based only on EpCAM expression has produced very diverse results. Methods that are independent of surface markers and therefore independent of phenotypical changes in the circulating cells might increase CTC recovery also in pancreatic cancer. We compared an EpCAM-dependent (IsoFlux) and a size-dependent (automated Siemens Healthineers filtration device) isolation method for the enrichment of pancreatic cancer CTCs. The recovery rate of the filtration based approach is dramatically superior to the EpCAM-dependent approach especially for cells with low EpCAM-expression (filtration: 52%, EpCAM-dependent: 1%). As storage and shipment of clinical samples is important for centralized analyses, we also evaluated the use of frozen diagnostic leukapheresis (DLA) as source for isolating CTCs and subsequent genetic analysis such as KRAS mutation detection analysis. Using frozen DLA samples of pancreatic cancer patients we detected CTCs in 42% of the samples by automated filtration. Impact Journals LLC 2017-09-16 /pmc/articles/PMC5689673/ /pubmed/29156783 http://dx.doi.org/10.18632/oncotarget.21026 Text en Copyright: © 2017 Brychta et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Brychta, Nora Drosch, Michael Driemel, Christiane Fischer, Johannes C. Neves, Rui P. Esposito, Irene Knoefel, Wolfram Möhlendick, Birte Hille, Claudia Stresemann, Antje Krahn, Thomas Kassack, Matthias U. Stoecklein, Nikolas H. von Ahsen, Oliver Isolation of circulating tumor cells from pancreatic cancer by automated filtration |
title | Isolation of circulating tumor cells from pancreatic cancer by automated filtration |
title_full | Isolation of circulating tumor cells from pancreatic cancer by automated filtration |
title_fullStr | Isolation of circulating tumor cells from pancreatic cancer by automated filtration |
title_full_unstemmed | Isolation of circulating tumor cells from pancreatic cancer by automated filtration |
title_short | Isolation of circulating tumor cells from pancreatic cancer by automated filtration |
title_sort | isolation of circulating tumor cells from pancreatic cancer by automated filtration |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689673/ https://www.ncbi.nlm.nih.gov/pubmed/29156783 http://dx.doi.org/10.18632/oncotarget.21026 |
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