ArticleJHEP reports : innovation in hepatology2025
Patient-derived organoids inform pharmacogenomic vulnerabilities in liver cancer.
Article in JHEP reports : innovation in hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Cell-cycle reactivation and hepatocyte identity loss in hepatocellular carcinoma: Transcriptomic hallmarks and validation strategies (Review).Oncology letters · 2026Review
- Characterization of hepatocellular carcinoma patient-derived organoids from patients receiving transarterial chemoembolization as a model for preclinical drug response assessment.Scientific reports · 2026Article
- A Narrative Review of Artificial Intelligence for Drug Repurposing: Lessons From COVID-19 and Oncology (2020-2025).CPT: pharmacometrics & systems pharmacology · 2026Review
- Targeting EBV-associated gastric cancer by lytic induction therapy with nanatinostat.Tumour virus research · 2026Article
- Chimeric antigen receptor T cell targeting CD44E variant in HCC holds therapeutic potential.Molecular therapy. Oncology · 2026Article
- Biobanked Liver Organoids: A Roadmap for Precision Hepatology.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- A Patient-Derived Organoid Biobank of Adamantinomatous Craniopharyngioma as a Platform for Drug Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- The application of organoids in treatment decision-making for digestive system cancers: progress and challenges.Molecular cancer · 2025Review
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background & Aims: Patient-derived tumor organoids (PDTOs) are a reliable model for preclinical and translational studies. Despite positive retrospective correlations with patient response, challenges such as culture success, cost, standardization, and time constraints hinder their clinical utility in precision medicine. Here, we optimize PDTO establishment using growth factor-reduced media (GF-) to mitigate these challenges and (1) identify somatic variant indicators that can improve the therapeutic index of existing FDA-approved drugs against hepatocellular carcinoma (HCC), (2) elucidate synthetic lethal candidates against undruggable HCC driver mutations, and (3) assess the feasibility of PDTOs in personalized therapy. Methods: We successfully established a panel of 23 PDTOs from patients with HCC undergoing curative hepatectomy using a protocol primarily based on growth factor-reduced medium. PDTOs were subjected to comprehensive analyses, including the identification of hallmark mutations, assessment of genomic heterogeneity, transcriptomic profiling, and histological characterization. A 100-drug repurposing screen was conducted on the PDTOs and organoids derived from adjacent non-tumoral and normal livers to explore tumor-specific drug responses. Pharmacogenomic analysis using elastic net was performed (cut-off Results: Our results reveal that GF-derived PDTOs mimic histology and genetic heterogeneity of HCC. Pharmacogenomic analysis showed that the majority of tested FDA-approved drugs were not associated with HCC driver mutations (<5%). In addition, non-canonical signaling from Conclusions: Our findings underscore the utility of PDTOs established from minimal GF media in many facets of precision oncology advancements. Impact and implications: Patient-derived tumor organoids are a reliable model for preclinical and translational studies. Despite positive retrospective correlations with patient response data, challenges such as culture success, cost, standardization, and time constraints hinder their clinical utility in guiding precision medicine. This study underscores the utility of patient-derived organoids established from growth factor-reduced media in many facets of precision oncology, showing for the first time in hepatocellular carcinoma, clear benefit to patient survival in a proof-of-concept case study.
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