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

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_F914645B5C7B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma.
Journal
Scientific reports
Author(s)
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.
ISSN
2045-2322 (Electronic)
ISSN-L
2045-2322
Publication state
Published
Issued date
01/08/2018
Peer-reviewed
Oui
Volume
8
Number
1
Pages
11570
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: epublish
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
Adult, Aged, Carcinoma, Hepatocellular/pathology, Female, Flow Cytometry, Gene Expression Profiling, Humans, Male, Middle Aged, Neoplastic Cells, Circulating/chemistry, RNA, Messenger/analysis, RNA, Messenger/genetics, Sequence Analysis, RNA, Single-Cell Analysis/methods
Pubmed
Web of science
Open Access
Yes
Create date
07/08/2018 11:28
Last modification date
26/10/2019 6:09
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