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Hepatotoxicity of FDA-approved small molecule kinase inhibitors
Abstract
Introduction : Given their importance in cellular processes and association with numerous diseases, protein kinases have emerged as promising targets for drugs. The FDA has approved greater than fifty small molecule kinase inhibitors (SMKIs) since 2001. Nevertheless, severe hepatotoxicity and related fatal cases have grown as a potential challenge in the advancement of these drugs, and the identification and diagnosis of drug-induced liver injury (DILI) are thorny problems for clinicians. Areas covered : This article summarizes the progression and analyzes the significant features in the study of SMKI hepatotoxicity, including clinical observations and investigations of the underlying mechanisms. Expert opinion : The understanding of SMKI-associated hepatotoxicity relies on the development of preclinical models and improvement of clinical assessment. With a full understanding of the role of inflammation in DILI and the mediating role of cytokines in inflammation, cytokines are promising candidates as sensitive and specific biomarkers for DILI. The emergence of three-dimensional spheroid models demonstrates potential use in providing clinically relevant data and predicting hepatotoxicity of SMKIs.
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“Although severe hepatotoxicity with jaundice from KIs develops in <5%, fulminant hepatitis leading to acute liver failure and an autoimmune phenotype has been reported. 52”
From The contemporary epidemiology, causes, and management of drug-induced liver injury (2026) · cites this paper as [52]
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The contemporary epidemiology, causes, and management of drug-induced liver injury
Swanson, L., & Fontana, R. J. (2026) · Hepatology Communications · doi:10.1097/hc9.0000000000001011
Metadata
- Authors
- Jiang, H., Jin, Y., Yan, H., Xu, Z., Yang, B., He, Q., & Luo, P.
- Affiliations
- Center for Drug Safety Evaluation and Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou China
- Venue
- Expert Opinion on Drug Safety
- Publisher
- Informa UK Limited
- Published
- 2020-12-27
- Volume
- 20
- Issue
- 3
- Pages
- 335-348
- ISSN
- 1474-0338
- 1744-764X
- Cited by
- 13
- References
- 95
- Language
- en
- Funders
- National Natural Science Foundation of China
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.