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A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC

Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide. Identification and sequencing of circulating tumor (CT) cells and clusters may allow for noninvasive molecular characterization of HCC, which is an unmet need, as many patients with HCC do not undergo biopsy. We evaluated C...

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Autores principales: Chen, Vincent L., Huang, Qianhui, Harouaka, Ramdane, Du, Yuheng, Lok, Anna S., Parikh, Neehar D., Garmire, Lana X., Wicha, Max S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134808/
https://www.ncbi.nlm.nih.gov/pubmed/35068084
http://dx.doi.org/10.1002/hep4.1900
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author Chen, Vincent L.
Huang, Qianhui
Harouaka, Ramdane
Du, Yuheng
Lok, Anna S.
Parikh, Neehar D.
Garmire, Lana X.
Wicha, Max S.
author_facet Chen, Vincent L.
Huang, Qianhui
Harouaka, Ramdane
Du, Yuheng
Lok, Anna S.
Parikh, Neehar D.
Garmire, Lana X.
Wicha, Max S.
author_sort Chen, Vincent L.
collection PubMed
description Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide. Identification and sequencing of circulating tumor (CT) cells and clusters may allow for noninvasive molecular characterization of HCC, which is an unmet need, as many patients with HCC do not undergo biopsy. We evaluated CT cells and clusters, collected using a dual‐filtration system in patients with HCC. We collected and filtered whole blood from patients with HCC and selected individual CT cells and clusters with a micropipette. Reverse transcription, polymerase chain reaction, and library preparation were performed using a SmartSeq2 protocol, followed by single‐cell RNA sequencing (scRNAseq) on an Illumina MiSeq V3 platform. Of the 8 patients recruited, 6 had identifiable CT cells or clusters. Median age was 64 years old; 7 of 8 were male; and 7 of 8 had and Barcelona Clinic Liver Cancer stage C. We performed scRNAseq of 38 CT cells and 33 clusters from these patients. These CT cells and clusters formed two distinct groups. Group 1 had significantly higher expression than group 2 of markers associated with epithelial phenotypes (CDH1 [Cadherin 1], EPCAM [epithelial cell adhesion molecule], ASGR2 [asialoglycoprotein receptor 2], and KRT8 [Keratin 8]), epithelial–mesenchymal transition (VIM [Vimentin]), and stemness (PROM1 [CD133], POU5F1 [POU domain, class 5, transcription factor 1], NOTCH1, STAT3 [signal transducer and activator of transcription 3]) (P < 0.05 for all). Patients with identifiable group 1 cells or clusters had poorer prognosis than those without them (median overall survival 39 vs. 384 days; P = 0.048 by log‐rank test). Conclusion: A simple dual‐filtration system allows for isolation and sequencing of CT cells and clusters in HCC and may identify cells expressing candidate genes known to be involved in cancer biology. Presence of CT cells/clusters expressing candidate genes is associated with poorer prognosis in advanced‐stage HCC.
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spelling pubmed-91348082022-06-04 A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC Chen, Vincent L. Huang, Qianhui Harouaka, Ramdane Du, Yuheng Lok, Anna S. Parikh, Neehar D. Garmire, Lana X. Wicha, Max S. Hepatol Commun Original Articles Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide. Identification and sequencing of circulating tumor (CT) cells and clusters may allow for noninvasive molecular characterization of HCC, which is an unmet need, as many patients with HCC do not undergo biopsy. We evaluated CT cells and clusters, collected using a dual‐filtration system in patients with HCC. We collected and filtered whole blood from patients with HCC and selected individual CT cells and clusters with a micropipette. Reverse transcription, polymerase chain reaction, and library preparation were performed using a SmartSeq2 protocol, followed by single‐cell RNA sequencing (scRNAseq) on an Illumina MiSeq V3 platform. Of the 8 patients recruited, 6 had identifiable CT cells or clusters. Median age was 64 years old; 7 of 8 were male; and 7 of 8 had and Barcelona Clinic Liver Cancer stage C. We performed scRNAseq of 38 CT cells and 33 clusters from these patients. These CT cells and clusters formed two distinct groups. Group 1 had significantly higher expression than group 2 of markers associated with epithelial phenotypes (CDH1 [Cadherin 1], EPCAM [epithelial cell adhesion molecule], ASGR2 [asialoglycoprotein receptor 2], and KRT8 [Keratin 8]), epithelial–mesenchymal transition (VIM [Vimentin]), and stemness (PROM1 [CD133], POU5F1 [POU domain, class 5, transcription factor 1], NOTCH1, STAT3 [signal transducer and activator of transcription 3]) (P < 0.05 for all). Patients with identifiable group 1 cells or clusters had poorer prognosis than those without them (median overall survival 39 vs. 384 days; P = 0.048 by log‐rank test). Conclusion: A simple dual‐filtration system allows for isolation and sequencing of CT cells and clusters in HCC and may identify cells expressing candidate genes known to be involved in cancer biology. Presence of CT cells/clusters expressing candidate genes is associated with poorer prognosis in advanced‐stage HCC. John Wiley and Sons Inc. 2022-01-23 /pmc/articles/PMC9134808/ /pubmed/35068084 http://dx.doi.org/10.1002/hep4.1900 Text en © 2022 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases. 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 Original Articles
Chen, Vincent L.
Huang, Qianhui
Harouaka, Ramdane
Du, Yuheng
Lok, Anna S.
Parikh, Neehar D.
Garmire, Lana X.
Wicha, Max S.
A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC
title A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC
title_full A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC
title_fullStr A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC
title_full_unstemmed A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC
title_short A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC
title_sort dual‐filtration system for single‐cell sequencing of circulating tumor cells and clusters in hcc
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134808/
https://www.ncbi.nlm.nih.gov/pubmed/35068084
http://dx.doi.org/10.1002/hep4.1900
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