Publication:

In vitro modeling of hepatocellular carcinoma molecular subtypes for anti-cancer drug assessment

Loading...
Thumbnail Image

Open/View Files

Date

2018

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

Nature Publishing Group
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Hirschfield, Hadassa, C Billie Bian, Takaaki Higashi, Shigeki Nakagawa, Tizita Z Zeleke, Venugopalan D Nair, Bryan C Fuchs, and Yujin Hoshida. 2018. “In vitro modeling of hepatocellular carcinoma molecular subtypes for anti-cancer drug assessment.” Experimental & Molecular Medicine 50 (1): e419. doi:10.1038/emm.2017.164. http://dx.doi.org/10.1038/emm.2017.164.

Abstract

Tractable experimental model that accounts for inter-tumor molecular heterogeneity is a key element of anti-cancer drug development. Hepatocellular carcinoma is known to exhibit highly heterogeneous molecular aberrations across the tumors, including somatic genetic and epigenetic alterations. Previous studies showed that molecular tumor subtypes determined by transcriptome, as a comprehensive functional readout, are reproducibly observed across global patient populations irrespective of geographic and etiological variations. Here we demonstrate that transcriptomic hepatocellular carcinoma subtypes, S1 and S2, determined by our previous transcriptome meta-analysis of multiple clinical hepatocellular carcinoma cohorts, are presented in a panel of hepatoma cell lines widely used by the research community. Interestingly, cell line that resembles gene expression pattern of S3 subtype, representing less aggressive tumors, was not identified in the panel. MYC pathway-activated S2-like cell lines showed higher sensitivity to a small molecule BET bromodomain inhibitor, (+)-JQ1, which has anti-MYC activity. These results support the use of hepatoma cell lines as models to evaluate molecular subtype-specific drug response, which is expected to lead to development of tailored, precision care of the patients with hepatocellular carcinoma.

Description

Research Data

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories