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High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma

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High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma. / D'Avola, Delia; Villacorta-Martin, Carlos; Martins-Filho, Sebastiao N; Craig, Amanda; Labgaa, Ismail; von Felden, Johann; Kimaada, Allette; Bonaccorso, Antoinette; Tabrizian, Parissa; Hartmann, Boris M; Sebra, Robert; Schwartz, Myron; Villanueva, Augusto.

in: SCI REP-UK, Jahrgang 8, 01.08.2018, S. 11570.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

D'Avola, D, Villacorta-Martin, C, Martins-Filho, SN, Craig, A, Labgaa, I, von Felden, J, Kimaada, A, Bonaccorso, A, Tabrizian, P, Hartmann, BM, Sebra, R, Schwartz, M & Villanueva, A 2018, 'High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma', SCI REP-UK, Jg. 8, S. 11570. https://doi.org/10.1038/s41598-018-30047-y

APA

D'Avola, D., Villacorta-Martin, C., Martins-Filho, S. N., Craig, A., Labgaa, I., von Felden, J., Kimaada, A., Bonaccorso, A., Tabrizian, P., Hartmann, B. M., Sebra, R., Schwartz, M., & Villanueva, A. (2018). High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma. SCI REP-UK, 8, 11570. https://doi.org/10.1038/s41598-018-30047-y

Vancouver

D'Avola D, Villacorta-Martin C, Martins-Filho SN, Craig A, Labgaa I, von Felden J et al. High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma. SCI REP-UK. 2018 Aug 1;8:11570. https://doi.org/10.1038/s41598-018-30047-y

Bibtex

@article{f129e42a143d4d33b6234b02b3a6ef13,
title = "High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma",
abstract = "Patients with hepatocellular carcinoma (HCC) release tumor cells to the bloodstream, which can be detected using cell surface markers. Despite numerous reports suggest a direct correlation between the number of circulating tumor cells (CTCs) and poor clinical outcomes, few studies have provided a thorough molecular characterization of CTCs. Due to the limited access to tissue samples in patients at advanced stages of HCC, it is crucial to develop new technologies to identify HCC cancer drivers in routine clinical conditions. Here, we describe a method that sequentially combines image flow cytometry and high density single-cell mRNA sequencing to identify CTCs in HCC patients. Genome wide expression profiling of CTCs using this approach demonstrates CTC heterogeneity and helps detect known oncogenic drivers in HCC such as IGF2. This integrated approach provides a novel tool for biomarker development in HCC using liquid biopsy.",
keywords = "Journal Article",
author = "Delia D'Avola and Carlos Villacorta-Martin and Martins-Filho, {Sebastiao N} and Amanda Craig and Ismail Labgaa and {von Felden}, Johann and Allette Kimaada and Antoinette Bonaccorso and Parissa Tabrizian and Hartmann, {Boris M} and Robert Sebra and Myron Schwartz and Augusto Villanueva",
year = "2018",
month = aug,
day = "1",
doi = "10.1038/s41598-018-30047-y",
language = "English",
volume = "8",
pages = "11570",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",

}

RIS

TY - JOUR

T1 - High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma

AU - D'Avola, Delia

AU - Villacorta-Martin, Carlos

AU - Martins-Filho, Sebastiao N

AU - Craig, Amanda

AU - Labgaa, Ismail

AU - von Felden, Johann

AU - Kimaada, Allette

AU - Bonaccorso, Antoinette

AU - Tabrizian, Parissa

AU - Hartmann, Boris M

AU - Sebra, Robert

AU - Schwartz, Myron

AU - Villanueva, Augusto

PY - 2018/8/1

Y1 - 2018/8/1

N2 - Patients with hepatocellular carcinoma (HCC) release tumor cells to the bloodstream, which can be detected using cell surface markers. Despite numerous reports suggest a direct correlation between the number of circulating tumor cells (CTCs) and poor clinical outcomes, few studies have provided a thorough molecular characterization of CTCs. Due to the limited access to tissue samples in patients at advanced stages of HCC, it is crucial to develop new technologies to identify HCC cancer drivers in routine clinical conditions. Here, we describe a method that sequentially combines image flow cytometry and high density single-cell mRNA sequencing to identify CTCs in HCC patients. Genome wide expression profiling of CTCs using this approach demonstrates CTC heterogeneity and helps detect known oncogenic drivers in HCC such as IGF2. This integrated approach provides a novel tool for biomarker development in HCC using liquid biopsy.

AB - Patients with hepatocellular carcinoma (HCC) release tumor cells to the bloodstream, which can be detected using cell surface markers. Despite numerous reports suggest a direct correlation between the number of circulating tumor cells (CTCs) and poor clinical outcomes, few studies have provided a thorough molecular characterization of CTCs. Due to the limited access to tissue samples in patients at advanced stages of HCC, it is crucial to develop new technologies to identify HCC cancer drivers in routine clinical conditions. Here, we describe a method that sequentially combines image flow cytometry and high density single-cell mRNA sequencing to identify CTCs in HCC patients. Genome wide expression profiling of CTCs using this approach demonstrates CTC heterogeneity and helps detect known oncogenic drivers in HCC such as IGF2. This integrated approach provides a novel tool for biomarker development in HCC using liquid biopsy.

KW - Journal Article

U2 - 10.1038/s41598-018-30047-y

DO - 10.1038/s41598-018-30047-y

M3 - SCORING: Journal article

C2 - 30068984

VL - 8

SP - 11570

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

ER -