Cargando…

EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis

Circulating tumor cells (CTCs) present an opportunity to detect/monitor metastasis throughout disease progression. The CellSearch® is currently the only FDA-approved technology for CTC detection in patients. The main limitation of this system is its reliance on epithelial markers for CTC isolation/e...

Descripción completa

Detalles Bibliográficos
Autores principales: Kitz, Jenna, Goodale, David, Postenka, Carl, Lowes, Lori E., Allan, Alison L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882592/
https://www.ncbi.nlm.nih.gov/pubmed/33415568
http://dx.doi.org/10.1007/s10585-020-10070-y
_version_ 1783651081533784064
author Kitz, Jenna
Goodale, David
Postenka, Carl
Lowes, Lori E.
Allan, Alison L.
author_facet Kitz, Jenna
Goodale, David
Postenka, Carl
Lowes, Lori E.
Allan, Alison L.
author_sort Kitz, Jenna
collection PubMed
description Circulating tumor cells (CTCs) present an opportunity to detect/monitor metastasis throughout disease progression. The CellSearch® is currently the only FDA-approved technology for CTC detection in patients. The main limitation of this system is its reliance on epithelial markers for CTC isolation/enumeration, which reduces its ability to detect more aggressive mesenchymal CTCs that are generated during metastasis via epithelial-to-mesenchymal transition (EMT). This Technical Note describes and validates two EMT-independent CTC analysis protocols; one for human samples using Parsortix® and one for mouse samples using VyCap. Parsortix® identifies significantly more mesenchymal human CTCs compared to the clinical CellSearch® test, and VyCap identifies significantly more CTCs compared to our mouse CellSearch® protocol regardless of EMT status. Recovery and downstream molecular characterization of CTCs is highly feasible using both Parsortix® and VyCap. The described CTC protocols can be used by investigators to study CTC generation, EMT and metastasis in both pre-clinical models and clinical samples. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10585-020-10070-y.
format Online
Article
Text
id pubmed-7882592
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Netherlands
record_format MEDLINE/PubMed
spelling pubmed-78825922021-02-25 EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis Kitz, Jenna Goodale, David Postenka, Carl Lowes, Lori E. Allan, Alison L. Clin Exp Metastasis Technical Note Circulating tumor cells (CTCs) present an opportunity to detect/monitor metastasis throughout disease progression. The CellSearch® is currently the only FDA-approved technology for CTC detection in patients. The main limitation of this system is its reliance on epithelial markers for CTC isolation/enumeration, which reduces its ability to detect more aggressive mesenchymal CTCs that are generated during metastasis via epithelial-to-mesenchymal transition (EMT). This Technical Note describes and validates two EMT-independent CTC analysis protocols; one for human samples using Parsortix® and one for mouse samples using VyCap. Parsortix® identifies significantly more mesenchymal human CTCs compared to the clinical CellSearch® test, and VyCap identifies significantly more CTCs compared to our mouse CellSearch® protocol regardless of EMT status. Recovery and downstream molecular characterization of CTCs is highly feasible using both Parsortix® and VyCap. The described CTC protocols can be used by investigators to study CTC generation, EMT and metastasis in both pre-clinical models and clinical samples. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10585-020-10070-y. Springer Netherlands 2021-01-07 2021 /pmc/articles/PMC7882592/ /pubmed/33415568 http://dx.doi.org/10.1007/s10585-020-10070-y Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Technical Note
Kitz, Jenna
Goodale, David
Postenka, Carl
Lowes, Lori E.
Allan, Alison L.
EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis
title EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis
title_full EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis
title_fullStr EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis
title_full_unstemmed EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis
title_short EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis
title_sort emt-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882592/
https://www.ncbi.nlm.nih.gov/pubmed/33415568
http://dx.doi.org/10.1007/s10585-020-10070-y
work_keys_str_mv AT kitzjenna emtindependentdetectionofcirculatingtumorcellsinhumanbloodsamplesandpreclinicalmousemodelsofmetastasis
AT goodaledavid emtindependentdetectionofcirculatingtumorcellsinhumanbloodsamplesandpreclinicalmousemodelsofmetastasis
AT postenkacarl emtindependentdetectionofcirculatingtumorcellsinhumanbloodsamplesandpreclinicalmousemodelsofmetastasis
AT loweslorie emtindependentdetectionofcirculatingtumorcellsinhumanbloodsamplesandpreclinicalmousemodelsofmetastasis
AT allanalisonl emtindependentdetectionofcirculatingtumorcellsinhumanbloodsamplesandpreclinicalmousemodelsofmetastasis