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Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma
The incidence of Merkel cell carcinoma (MCC), a rare and highly metastatic skin malignancy, has sharply increased in the last decade. Clinical biomarkers are urgently needed for MCC prognosis, treatment response monitoring, and early diagnosis of relapse. The clinical interest of circulating tumors...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994658/ https://www.ncbi.nlm.nih.gov/pubmed/32005907 http://dx.doi.org/10.1038/s41598-020-58572-9 |
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author | Boyer, Magali Cayrefourcq, Laure Garima, Françoise Foulongne, Vincent Dereure, Olivier Alix-Panabières, Catherine |
author_facet | Boyer, Magali Cayrefourcq, Laure Garima, Françoise Foulongne, Vincent Dereure, Olivier Alix-Panabières, Catherine |
author_sort | Boyer, Magali |
collection | PubMed |
description | The incidence of Merkel cell carcinoma (MCC), a rare and highly metastatic skin malignancy, has sharply increased in the last decade. Clinical biomarkers are urgently needed for MCC prognosis, treatment response monitoring, and early diagnosis of relapse. The clinical interest of circulating tumors cells (CTCs) has been validated in many solid cancers. The aim of this study was to compare CTC detection and characterization in blood samples of patients with MCC using the CellSearch System and the RosetteSep -DEPArray workflow, an innovative procedure to enrich, detect and isolate single CTCs. In preliminary experiments (using spiked MCC cell lines) both methods allowed detecting very few MCC cells. In blood samples from 19 patients with MCC at different stages, CellSearch detected MCC CTCs in 26% of patients, and the R-D workflow in 42% of patients. The detection of CTC-positive patients increased to 52% by the cumulative positivity rate of both methodologies. Moreover, Merkel cell polyomavirus DNA, involved in MCC oncogenesis, was detected in tumor biopsies, but not in all single CTCs from the same patient, reflecting the tumor heterogeneity. Our data demonstrate the possibility to detect, isolate and characterize CTCs in patients with MCC using two complementary approaches. |
format | Online Article Text |
id | pubmed-6994658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69946582020-02-06 Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma Boyer, Magali Cayrefourcq, Laure Garima, Françoise Foulongne, Vincent Dereure, Olivier Alix-Panabières, Catherine Sci Rep Article The incidence of Merkel cell carcinoma (MCC), a rare and highly metastatic skin malignancy, has sharply increased in the last decade. Clinical biomarkers are urgently needed for MCC prognosis, treatment response monitoring, and early diagnosis of relapse. The clinical interest of circulating tumors cells (CTCs) has been validated in many solid cancers. The aim of this study was to compare CTC detection and characterization in blood samples of patients with MCC using the CellSearch System and the RosetteSep -DEPArray workflow, an innovative procedure to enrich, detect and isolate single CTCs. In preliminary experiments (using spiked MCC cell lines) both methods allowed detecting very few MCC cells. In blood samples from 19 patients with MCC at different stages, CellSearch detected MCC CTCs in 26% of patients, and the R-D workflow in 42% of patients. The detection of CTC-positive patients increased to 52% by the cumulative positivity rate of both methodologies. Moreover, Merkel cell polyomavirus DNA, involved in MCC oncogenesis, was detected in tumor biopsies, but not in all single CTCs from the same patient, reflecting the tumor heterogeneity. Our data demonstrate the possibility to detect, isolate and characterize CTCs in patients with MCC using two complementary approaches. Nature Publishing Group UK 2020-01-31 /pmc/articles/PMC6994658/ /pubmed/32005907 http://dx.doi.org/10.1038/s41598-020-58572-9 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Boyer, Magali Cayrefourcq, Laure Garima, Françoise Foulongne, Vincent Dereure, Olivier Alix-Panabières, Catherine Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma |
title | Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma |
title_full | Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma |
title_fullStr | Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma |
title_full_unstemmed | Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma |
title_short | Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma |
title_sort | circulating tumor cell detection and polyomavirus status in merkel cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994658/ https://www.ncbi.nlm.nih.gov/pubmed/32005907 http://dx.doi.org/10.1038/s41598-020-58572-9 |
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