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International Journal of Biological Sciences
Article . 2024 . Peer-reviewed
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Leveraging Patient-Derived Organoids for Personalized Liver Cancer Treatment

Authors: Rao, Jianhua; Song, Chao; Hao, Yangyang; Chen, Zaozao; Feng, Sidu; Xu, Shihui; Wu, Xiaoyue; +8 Authors

Leveraging Patient-Derived Organoids for Personalized Liver Cancer Treatment

Abstract

Primary liver cancer (PLC) is a primary cause of cancer-related death worldwide, and novel treatments are needed due to the limited options available for treatment and tumor heterogeneity. 66 surgically removed PLC samples were cultured using the self-developed 2:2 method, and the final success rate for organoid culture was 40.9%. Organoid performance has been evaluated using comprehensive molecular measurements, such as whole-exome and RNA sequencing, as well as anticancer drug testing. Multiple organoids and their corresponding tumor tissues contained several of the same mutations, with all pairs sharing conventional TP53 mutations. Regarding copy number variations and gene expression, significant correlations were observed between the organoids and their corresponding parental tumor tissues. Comparisons at the molecular level provided us with an assessment of organoid-to-tumor concordance, which, in combination with drug sensitivity testing provided direct guidance for treatment selection. Finally, we were able to determine an appropriate pharmacological regimen for a patient with ICC, demonstrating the clinical practicality in tailoring patient-specific drug regimens. Our study provides an organoid culture technology that can cultivate models that retain most of the molecular characteristics of tumors and can be used for drug sensitivity testing, demonstrating the broad potential application of organoid technology in precision medicine for liver cancer treatment.

Related Organizations
Keywords

Organoids, Male, Adult, DNA Copy Number Variations, Liver Neoplasms, Mutation, Humans, Female, Antineoplastic Agents, Precision Medicine, Middle Aged, Research Paper, Aged

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    selected citations
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    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).
    11
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
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!
11
Top 10%
Average
Top 10%
Green
gold
Related to Research communities
Cancer Research