Evidence map›Paper›PMID 28120901›Full record

ArticleScientific reports2017

Patient-specific hepatocyte-like cells derived from induced pluripotent stem cells model pazopanib-mediated hepatotoxicity.

Yukti Choudhury, Yi Chin Toh, Jiangwa Xing, Yinghua Qu, Jonathan Poh, Huan Li, Hui Shan Tan, Ravindran Kanesvaran, Hanry Yu, Min-Han Tan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. In Vitro Models for Studying Chronic Drug-Induced Liver Injury.International journal of molecular sciences · 2022
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. A metabolomic perspective of pazopanib-induced acute hepatotoxicity in mice.Xenobiotica; the fate of foreign compounds in biological systems · 2019
    Article
  18. Review
  19. Review
  20. Toxicogenomics: A 2020 Vision.Trends in pharmacological sciences · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Yukti ChoudhuryInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Yi Chin TohInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Jiangwa XingInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Yinghua QuInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Jonathan PohInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Huan LiInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Hui Shan TanDivision of Medical Oncology, National Cancer Centre, Singapore 169610, Republic of Singapore.
Ravindran KanesvaranDivision of Medical Oncology, National Cancer Centre, Singapore 169610, Republic of Singapore.
Hanry YuInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Min-Han TanInstitute of Bioengineering and Nanotechnology, 31 Biopolis Way, Nanos #04-01, Singapore 138669, Republic of Singapore.
Institute of Bioengineering and Nanotechnology · SGNational Cancer Centre Singapore · SGSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiosyncratic drug-induced hepatotoxicity is a major cause of liver damage and drug pipeline failure, and is difficult to study as patient-specific features are not readily incorporated in traditional hepatotoxicity testing approaches using population pooled cell sources. Here we demonstrate the use of patient-specific hepatocyte-like cells (HLCs) derived from induced pluripotent stem cells for modeling idiosyncratic hepatotoxicity to pazopanib (PZ), a tyrosine kinase inhibitor drug associated with significant hepatotoxicity of unknown mechanistic basis. In vitro cytotoxicity assays confirmed that HLCs from patients with clinically identified hepatotoxicity were more sensitive to PZ-induced toxicity than other individuals, while a prototype hepatotoxin acetaminophen was similarly toxic to all HLCs studied. Transcriptional analyses showed that PZ induces oxidative stress (OS) in HLCs in general, but in HLCs from susceptible individuals, PZ causes relative disruption of iron metabolism and higher burden of OS. Our study establishes the first patient-specific HLC-based platform for idiosyncratic hepatotoxicity testing, incorporating multiple potential causative factors and permitting the correlation of transcriptomic and cellular responses to clinical phenotypes. Establishment of patient-specific HLCs with clinical phenotypes representing population variations will be valuable for pharmaceutical drug testing.

Indexed as

AcetaminophenCell DifferentiationChemical and Drug Induced Liver InjuryCytochrome P-450 CYP1A2Gene Expression RegulationGlutathioneHepatocytesHumansIndazolesInduced Pluripotent Stem CellsIronOrgan SpecificityOxidative StressPrincipal Component AnalysisPyrimidinesReactive Oxygen SpeciesAcetaminophenCytochrome P-450 CYP1A2GlutathioneIndazolesIronpazopanibPyrimidinesReactive Oxygen SpeciesRNA, MessengerSulfonamides

Identifiers

PMID28120901
PMCPMC5264611
OpenAlexW2582045323

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.