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Eur Radiol. 2017 Nov;27(11):4472-4481. doi: 10.1007/s00330-017-4844-6. Epub 2017 Apr 24.

Imaging-based surrogate markers of transcriptome subclasses and signatures in hepatocellular carcinoma: preliminary results.

Taouli B1,2,3, Hoshida Y4,5, Kakite S6,7, Chen X4,5, Tan PS4,5,8, Sun X4,5, Kihira S9, Kojima K4,5, Toffanin S4,5, Fiel MI10, Hirschfield H4,5, Wagner M6,11, Llovet JM4,5,12,13.

Author information

1
Department of Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Box 1234, New York, NY, 10029, USA. bachir.taouli@mountsinai.org.
2
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bachir.taouli@mountsinai.org.
3
Liver Cancer Program, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bachir.taouli@mountsinai.org.
4
Liver Cancer Program, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
5
Division of Liver Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
6
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
7
Division of Radiology, Department of Pathophysiological and Therapeutic Science, Faculty of Medicine, Tottori University, 36-1, Nishicho, Yonago City, 683-8504, Japan.
8
Division of Gastroenterology and Hepatology, University Medicine Cluster, National University Health System, Singapore, Singapore.
9
Department of Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, Box 1234, New York, NY, 10029, USA.
10
Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
11
UPMC, Department of Radiology, Hôpital Pitié-Salpêtrière, Sorbonne Universités, Assistance Publique-Hôpitaux de Paris, Paris, France.
12
HCC Translational Research Laboratory, Barcelona-Clínic Liver Cancer Group Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Universitat de Barcelona (UB), Barcelona, Spain.
13
Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.

Abstract

OBJECTIVES:

In this preliminary study, we examined whether imaging-based phenotypes are associated with reported predictive gene signatures in hepatocellular carcinoma (HCC).

METHODS:

Thirty-eight patients (M/F 30/8, mean age 61 years) who underwent pre-operative CT or MR imaging before surgery as well as transcriptome profiling were included in this IRB-approved single-centre retrospective study. Eleven qualitative and four quantitative imaging traits (size, enhancement ratios, wash-out ratio, tumour-to-liver contrast ratios) were assessed by three observers and were correlated with 13 previously reported HCC gene signatures using logistic regression analysis.

RESULTS:

Thirty-nine HCC tumours (mean size 5.7 ± 3.2 cm) were assessed. Significant positive associations were observed between certain imaging traits and gene signatures of aggressive HCC phenotype (G3-Boyault, Proliferation-Chiang profiles, CK19-Villanueva, S1/S2-Hoshida) with odds ratios ranging from 4.44-12.73 (P <0.045). Infiltrative pattern at imaging was significantly associated with signatures of microvascular invasion and aggressive phenotype. Significant but weak associations were also observed between each enhancement ratio and tumour-to-liver contrast ratios and certain gene expression profiles.

CONCLUSIONS:

This preliminary study demonstrates a correlation between phenotypic imaging traits with gene signatures of aggressive HCC, which warrants further prospective validation to establish imaging-based surrogate markers of molecular phenotypes in HCC.

KEY POINTS:

• There are associations between imaging and gene signatures of aggressive hepatocellular carcinoma. • Infiltrative type is associated with gene signatures of microvascular invasion and aggressiveness. • Infiltrative type may be a surrogate marker of microvascular invasion gene signature.

KEYWORDS:

Biomarkers; Computed tomography; Genomics; Hepatocellular carcinoma; Magnetic resonance imaging

PMID:
28439654
PMCID:
PMC5654702
DOI:
10.1007/s00330-017-4844-6
[Indexed for MEDLINE]
Free PMC Article

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