Evidence map›Paper›PMID 40584266›Full record

ArticleJHEP reports : innovation in hepatology2025

Patient-derived organoids inform pharmacogenomic vulnerabilities in liver cancer.

Alissa Michelle Wong, Hao Huang, Aikha Melissa Wong, Howard Ho Wai Leung, Winnie Wing Yan Cheung, Yin Kau Lam, Xiaofan Ding, Luyao Zhang, Clarice Chu, Yue Liu and 6 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Biobanked Liver Organoids: A Roadmap for Precision Hepatology.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Alissa Michelle WongDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Hao HuangState Key Laboratory of Digital Medical Engineering, School of Biomedical Science and Medicinal Engineering, Southeast University, Nanjing, China.
Aikha Melissa WongDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Howard Ho Wai LeungDepartment of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Winnie Wing Yan CheungDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Yin Kau LamDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Xiaofan DingDepartment of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Macao, China.
Luyao ZhangDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Clarice ChuDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Yue LiuDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Cecilia Ka Wing ChanDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Anthony Wing Hung ChanDepartment of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Kelvin Kwok Chai NgDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Xin WangDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Stephen Lam ChanDepartment of Clinical Oncology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Nathalie WongDepartment of Surgery, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CTNNB1Drug repurposingLiver cancer organoidsPrecision medicineSynthetic lethality

Identifiers

PMID40584266
PMCPMC12205652

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.