Evidence map›Paper›PMID 36085085›Full record

ReviewCell & bioscience2022

Liver organoids: an in vitro 3D model for liver cancer study.

Renshun Dong, Bixiang Zhang, Xuewu Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cell & bioscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Precision models in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Liver Organoids as an In Vitro Model to Study Primary Liver Cancer.International journal of molecular sciences · 2023
    Review
  17. Review
  18. Review
  19. 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

3 authors.

Renshun DongTongji Hospital, Hepatic Surgery Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Bixiang ZhangTongji Hospital, Hepatic Surgery Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. bixiangzhang@163.com.
Xuewu ZhangTongji Hospital, Hepatic Surgery Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. xuwzhang5127@hust.edu.cn.ORCID http://orcid.org/0000-0002-9641-7155

Funding

Chen Xiao-Ping Foundation for the Development of Science and Technology of Hubei Province CXPJJH12000001-2020326National Natural Science Foundation of China 82003093
6 · The paper itself

Abstract

Primary liver cancer (PLC) is the second leading cause of cancer mortality worldwide, and its morbidity unceasingly increases these years. Hepatitis B virus (HBV) infection accounted for approximately 50% of hepatocellular carcinoma (HCC) cases globally in 2015. Due to the lack of an effective model to study HBV-associated liver carcinogenesis, research has made slow progress. Organoid, an in vitro 3D model which maintains self-organization, has recently emerged as a powerful tool to investigate human diseases. In this review, we first summarize the categories and development of liver organoids. Then, we mainly focus on the functions of culture medium components and applications of organoids for HBV infection and HBV-associated liver cancer studies. Finally, we provide insights into a potential patient-derived organoid model from those infected with HBV based on our study, as well as the limitations and future applications of organoids in liver cancer research.

Indexed as

HBV infectionLiver organoidPrimary liver cancer

Identifiers

PMID36085085
PMCPMC9463833

What OpenQuestion holds

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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.