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Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies

Nuciforo, Sandro and Fofana, Isabel and Matter, Matthias S. and Blumer, Tanja and Calabrese, Diego and Boldanova, Tujana and Piscuoglio, Salvatore and Wieland, Stefan and Ringnalda, Femke and Schwank, Gerald and Terracciano, Luigi M. and Ng, Charlotte K. Y. and Heim, Markus H.. (2018) Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies. Cell reports, 24 (5). pp. 1363-1376.

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Official URL: https://edoc.unibas.ch/68158/

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Abstract

Hepatocellular carcinoma (HCC) is the most common primary liver cancer and the second most frequent cause of cancer-related mortality worldwide. The multikinase inhibitor sorafenib is the only treatment option for advanced HCC. Due to tumor heterogeneity, its efficacy greatly varies between patients and is limited due to adverse effects and drug resistance. Current in vitro models fail to recapitulate key features of HCCs. We report the generation of long-term organoid cultures from tumor needle biopsies of HCC patients with various etiologies and tumor stages. HCC organoids retain the morphology as well as the expression pattern of HCC tumor markers and preserve the genetic heterogeneity of the originating tumors. In a proof-of-principle study, we show that liver cancer organoids can be used to test sensitivity to sorafenib. In conclusion, organoid models can be derived from needle biopsies of liver cancers and provide a tool for developing tailored therapies.
Faculties and Departments:03 Faculty of Medicine
03 Faculty of Medicine > Bereich Querschnittsfächer (Klinik) > Pathologie USB
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Querschnittsfächer (Klinik) > Pathologie USB
UniBasel Contributors:Piscuoglio, Salvatore
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:2211-1247
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
Last Modified:29 Jan 2019 08:03
Deposited On:29 Jan 2019 08:03

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