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, Vol. 8, 01.08.2018, p. 11570.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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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 -