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Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells

Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling....

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Autores principales: Court, Colin M., Hou, Shuang, Liu, Lian, Winograd, Paul, DiPardo, Benjamin J., Liu, Sean X., Chen, Pin-Jung, Zhu, Yazhen, Smalley, Matthew, Zhang, Ryan, Sadeghi, Saeed, Finn, Richard S., Kaldas, Fady M., Busuttil, Ronald W., Zhou, Xianghong J., Tseng, Hsian-Rong, Tomlinson, James S., Graeber, Thomas G., Agopian, Vatche G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331695/
https://www.ncbi.nlm.nih.gov/pubmed/32637655
http://dx.doi.org/10.1038/s41698-020-0123-0
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author Court, Colin M.
Hou, Shuang
Liu, Lian
Winograd, Paul
DiPardo, Benjamin J.
Liu, Sean X.
Chen, Pin-Jung
Zhu, Yazhen
Smalley, Matthew
Zhang, Ryan
Sadeghi, Saeed
Finn, Richard S.
Kaldas, Fady M.
Busuttil, Ronald W.
Zhou, Xianghong J.
Tseng, Hsian-Rong
Tomlinson, James S.
Graeber, Thomas G.
Agopian, Vatche G.
author_facet Court, Colin M.
Hou, Shuang
Liu, Lian
Winograd, Paul
DiPardo, Benjamin J.
Liu, Sean X.
Chen, Pin-Jung
Zhu, Yazhen
Smalley, Matthew
Zhang, Ryan
Sadeghi, Saeed
Finn, Richard S.
Kaldas, Fady M.
Busuttil, Ronald W.
Zhou, Xianghong J.
Tseng, Hsian-Rong
Tomlinson, James S.
Graeber, Thomas G.
Agopian, Vatche G.
author_sort Court, Colin M.
collection PubMed
description Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling. The Cancer Genome Atlas (TCGA) SCNA data were used to develop a cancer origin classification model, which was then evaluated for classifying 44 CTCs from multiple cancer types. Sequencing of 18 CTC samples (median: 4 CTCs/sample) from 10 HCC patients using a low-resolution whole-genome sequencing strategy (median: 0.88 million reads/sample) revealed frequent SCNAs in previously reported HCC regions such as 8q amplifications and 17p deletions. SCNA profiling revealed that CTCs share a median of 80% concordance with the primary tumor. CTCs had SCNAs not seen in the primary tumor, some with prognostic implications. Using a SCNA profiling model, the tissue of origin was correctly identified for 32/44 (73%) CTCs from 12/16 (75%) patients with different cancer types.
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spelling pubmed-73316952020-07-06 Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells Court, Colin M. Hou, Shuang Liu, Lian Winograd, Paul DiPardo, Benjamin J. Liu, Sean X. Chen, Pin-Jung Zhu, Yazhen Smalley, Matthew Zhang, Ryan Sadeghi, Saeed Finn, Richard S. Kaldas, Fady M. Busuttil, Ronald W. Zhou, Xianghong J. Tseng, Hsian-Rong Tomlinson, James S. Graeber, Thomas G. Agopian, Vatche G. NPJ Precis Oncol Article Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling. The Cancer Genome Atlas (TCGA) SCNA data were used to develop a cancer origin classification model, which was then evaluated for classifying 44 CTCs from multiple cancer types. Sequencing of 18 CTC samples (median: 4 CTCs/sample) from 10 HCC patients using a low-resolution whole-genome sequencing strategy (median: 0.88 million reads/sample) revealed frequent SCNAs in previously reported HCC regions such as 8q amplifications and 17p deletions. SCNA profiling revealed that CTCs share a median of 80% concordance with the primary tumor. CTCs had SCNAs not seen in the primary tumor, some with prognostic implications. Using a SCNA profiling model, the tissue of origin was correctly identified for 32/44 (73%) CTCs from 12/16 (75%) patients with different cancer types. Nature Publishing Group UK 2020-07-02 /pmc/articles/PMC7331695/ /pubmed/32637655 http://dx.doi.org/10.1038/s41698-020-0123-0 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 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
Court, Colin M.
Hou, Shuang
Liu, Lian
Winograd, Paul
DiPardo, Benjamin J.
Liu, Sean X.
Chen, Pin-Jung
Zhu, Yazhen
Smalley, Matthew
Zhang, Ryan
Sadeghi, Saeed
Finn, Richard S.
Kaldas, Fady M.
Busuttil, Ronald W.
Zhou, Xianghong J.
Tseng, Hsian-Rong
Tomlinson, James S.
Graeber, Thomas G.
Agopian, Vatche G.
Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells
title Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells
title_full Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells
title_fullStr Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells
title_full_unstemmed Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells
title_short Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells
title_sort somatic copy number profiling from hepatocellular carcinoma circulating tumor cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331695/
https://www.ncbi.nlm.nih.gov/pubmed/32637655
http://dx.doi.org/10.1038/s41698-020-0123-0
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