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

Détails

Ressource 1Télécharger: 30068984_BIB_F914645B5C7B.pdf (1648.41 [Ko])
Etat: Serval
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_F914645B5C7B
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma.
Périodique
Scientific reports
Auteur(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
Statut éditorial
Publié
Date de publication
01/08/2018
Peer-reviewed
Oui
Volume
8
Numéro
1
Pages
11570
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
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.
Pubmed
Web of science
Open Access
Oui
Création de la notice
07/08/2018 11:28
Dernière modification de la notice
29/05/2019 7:10
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