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Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies

Authors: Nuciforo, Sandro; Fofana, Isabel; Matter, Matthias S.; Blumer, Tanja; Calabrese, Diego; Boldanova, Tujana; Piscuoglio, Salvatore; +6 Authors

Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies

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.

Cell Reports, 24 (5)

ISSN:2666-3864

ISSN:2211-1247

Keywords

Male, Carcinoma, Hepatocellular, drug response, cholangiocellular carcinoma, liver, Article, Tissue Culture Techniques, genetic heterogeneity, hepatocellular carcinoma; cholangiocellular carcinoma; liver; patient-derived organoids; patient-derived xenografts; needle biopsy; Biobank; genetic heterogeneity; drug response, Mice, Animals, Humans, Cells, Cultured, Aged, Biobank, Aged, 80 and over, Liver Neoplasms, needle biopsy, hepatocellular carcinoma, Middle Aged, Organoids, Female, patient-derived xenografts, patient-derived organoids

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    378
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
378
Top 0.1%
Top 10%
Top 0.1%
Green
gold