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Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer
Despite their important role in metastatic disease, no general method to detect circulating stromal cells (CStCs) exists. Here, we present the Metabolic Assay-Chip (MA-Chip) as a label-free, droplet-based microfluidic approach allowing single-cell extracellular pH measurement for the detection and i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527228/ https://www.ncbi.nlm.nih.gov/pubmed/32998889 http://dx.doi.org/10.1126/sciadv.aaz3849 |
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author | Rivello, Francesca Matuła, Kinga Piruska, Aigars Smits, Minke Mehra, Niven Huck, Wilhelm T. S. |
author_facet | Rivello, Francesca Matuła, Kinga Piruska, Aigars Smits, Minke Mehra, Niven Huck, Wilhelm T. S. |
author_sort | Rivello, Francesca |
collection | PubMed |
description | Despite their important role in metastatic disease, no general method to detect circulating stromal cells (CStCs) exists. Here, we present the Metabolic Assay-Chip (MA-Chip) as a label-free, droplet-based microfluidic approach allowing single-cell extracellular pH measurement for the detection and isolation of highly metabolically active cells (hm-cells) from the tumor microenvironment. Single-cell mRNA-sequencing analysis of the hm-cells from metastatic prostate cancer patients revealed that approximately 10% were canonical EpCAM(+) hm-CTCs, 3% were EpCAM(−) hm-CTCs with up-regulation of prostate-related genes, and 87% were hm-CStCs with profiles characteristic for cancer-associated fibroblasts, mesenchymal stem cells, and endothelial cells. Kaplan-Meier analysis shows that metastatic prostate cancer patients with more than five hm-cells have a significantly poorer survival probability than those with zero to five hm-cells. Thus, prevalence of hm-cells is a prognosticator of poor outcome in prostate cancer, and a potentially predictive and therapy response biomarker for agents cotargeting stromal components and preventing epithelial-to-mesenchymal transition. |
format | Online Article Text |
id | pubmed-7527228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75272282020-10-07 Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer Rivello, Francesca Matuła, Kinga Piruska, Aigars Smits, Minke Mehra, Niven Huck, Wilhelm T. S. Sci Adv Research Articles Despite their important role in metastatic disease, no general method to detect circulating stromal cells (CStCs) exists. Here, we present the Metabolic Assay-Chip (MA-Chip) as a label-free, droplet-based microfluidic approach allowing single-cell extracellular pH measurement for the detection and isolation of highly metabolically active cells (hm-cells) from the tumor microenvironment. Single-cell mRNA-sequencing analysis of the hm-cells from metastatic prostate cancer patients revealed that approximately 10% were canonical EpCAM(+) hm-CTCs, 3% were EpCAM(−) hm-CTCs with up-regulation of prostate-related genes, and 87% were hm-CStCs with profiles characteristic for cancer-associated fibroblasts, mesenchymal stem cells, and endothelial cells. Kaplan-Meier analysis shows that metastatic prostate cancer patients with more than five hm-cells have a significantly poorer survival probability than those with zero to five hm-cells. Thus, prevalence of hm-cells is a prognosticator of poor outcome in prostate cancer, and a potentially predictive and therapy response biomarker for agents cotargeting stromal components and preventing epithelial-to-mesenchymal transition. American Association for the Advancement of Science 2020-09-30 /pmc/articles/PMC7527228/ /pubmed/32998889 http://dx.doi.org/10.1126/sciadv.aaz3849 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Rivello, Francesca Matuła, Kinga Piruska, Aigars Smits, Minke Mehra, Niven Huck, Wilhelm T. S. Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer |
title | Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer |
title_full | Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer |
title_fullStr | Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer |
title_full_unstemmed | Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer |
title_short | Probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer |
title_sort | probing single-cell metabolism reveals prognostic value of highly metabolically active circulating stromal cells in prostate cancer |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527228/ https://www.ncbi.nlm.nih.gov/pubmed/32998889 http://dx.doi.org/10.1126/sciadv.aaz3849 |
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