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Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry

BACKGROUND AND OBJECTIVES: Enumerating circulating tumor cells has been used as a method of monitoring progression of various cancers. Various methods for detecting circulating melanoma cells (CMCs) have been reported, but none has had sufficient sensitivity to determine if the presence of rare CMCs...

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Autores principales: Edgar, Robert H., Tarhini, Ahmad, Sander, Cindy, Sanders, Martin E., Cook, Justin L., Viator, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746591/
https://www.ncbi.nlm.nih.gov/pubmed/32557708
http://dx.doi.org/10.1002/lsm.23286
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author Edgar, Robert H.
Tarhini, Ahmad
Sander, Cindy
Sanders, Martin E.
Cook, Justin L.
Viator, John A.
author_facet Edgar, Robert H.
Tarhini, Ahmad
Sander, Cindy
Sanders, Martin E.
Cook, Justin L.
Viator, John A.
author_sort Edgar, Robert H.
collection PubMed
description BACKGROUND AND OBJECTIVES: Enumerating circulating tumor cells has been used as a method of monitoring progression of various cancers. Various methods for detecting circulating melanoma cells (CMCs) have been reported, but none has had sufficient sensitivity to determine if the presence of rare CMCs in the blood of Stage I–III melanoma patients predicts if those patients eventually develop metastatic disease. STUDY DESIGN: We quantified CMCs in serial blood samples from 38 early stage melanoma patients to determine if CMC numbers predict development of metastatic melanoma. CMCs were enumerated using a photoacoustic flow cytometric detection system that uses a laser to induce high frequency acoustic signals in pigmented CMCs. RESULTS: We observed that detection of greater than 2 CMCs/ml of blood from patients with Stage I–III melanoma predicts metastatic disease. Of the 11 patients we studied who had two or fewer CMCs detected at all time points tested, none progressed to metastatic disease over a mean follow‐up of 1288 days. In contrast, 18 of the 27 patients (67%) having more than 2 CMCs/ml at one or more time points progressed to metastatic disease over a mean follow‐up of 850 days. CONCLUSIONS: Photoacoustic flow cytometry can detect rare CMCs in the blood of Stage I–III melanoma patients and detectionof these cells is predictive of subsequent development of metastatic disease. Lasers Surg. Med.
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spelling pubmed-77465912021-04-16 Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry Edgar, Robert H. Tarhini, Ahmad Sander, Cindy Sanders, Martin E. Cook, Justin L. Viator, John A. Lasers Surg Med Basic Science BACKGROUND AND OBJECTIVES: Enumerating circulating tumor cells has been used as a method of monitoring progression of various cancers. Various methods for detecting circulating melanoma cells (CMCs) have been reported, but none has had sufficient sensitivity to determine if the presence of rare CMCs in the blood of Stage I–III melanoma patients predicts if those patients eventually develop metastatic disease. STUDY DESIGN: We quantified CMCs in serial blood samples from 38 early stage melanoma patients to determine if CMC numbers predict development of metastatic melanoma. CMCs were enumerated using a photoacoustic flow cytometric detection system that uses a laser to induce high frequency acoustic signals in pigmented CMCs. RESULTS: We observed that detection of greater than 2 CMCs/ml of blood from patients with Stage I–III melanoma predicts metastatic disease. Of the 11 patients we studied who had two or fewer CMCs detected at all time points tested, none progressed to metastatic disease over a mean follow‐up of 1288 days. In contrast, 18 of the 27 patients (67%) having more than 2 CMCs/ml at one or more time points progressed to metastatic disease over a mean follow‐up of 850 days. CONCLUSIONS: Photoacoustic flow cytometry can detect rare CMCs in the blood of Stage I–III melanoma patients and detectionof these cells is predictive of subsequent development of metastatic disease. Lasers Surg. Med. John Wiley and Sons Inc. 2020-06-18 2021-04 /pmc/articles/PMC7746591/ /pubmed/32557708 http://dx.doi.org/10.1002/lsm.23286 Text en © 2020 The Authors. Lasers in Surgery and Medicine published by Wiley Periodicals LLC https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Basic Science
Edgar, Robert H.
Tarhini, Ahmad
Sander, Cindy
Sanders, Martin E.
Cook, Justin L.
Viator, John A.
Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry
title Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry
title_full Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry
title_fullStr Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry
title_full_unstemmed Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry
title_short Predicting Metastasis in Melanoma by Enumerating Circulating Tumor Cells Using Photoacoustic Flow Cytometry
title_sort predicting metastasis in melanoma by enumerating circulating tumor cells using photoacoustic flow cytometry
topic Basic Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746591/
https://www.ncbi.nlm.nih.gov/pubmed/32557708
http://dx.doi.org/10.1002/lsm.23286
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