ArticleBMC pharmacology & toxicology2024
Pharmacovigilance study of BCR-ABL1 tyrosine kinase inhibitors: a safety analysis of the FDA adverse event reporting system.
Article in BMC pharmacology & toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Adverse Respiratory Reactions to Tyrosine Kinase Inhibitors: A Disproportionality Analysis of Spontaneous Reports from European Countries.Life (Basel, Switzerland) · 2026Article
- Characterizing bleeding adverse events associated with BCR-ABL tyrosine kinase inhibitors: insights from FAERS reports.Frontiers in oncology · 2026Article
- Data mining and safety analysis of FGFR tyrosine kinase inhibitors based on the FAERS database.Scientific reports · 2025Article
- Electrochemical sensors for anticancer drugs used in the targeted therapy of chronic myeloid leukaemia.ADMET & DMPK · 2025Review
- The silent signals: emerging safety concerns in bispecific antibody therapy for multiple myeloma.Frontiers in medicine · 2025Article
- Cardiac arrhythmias of BCR-ABL inhibitors with or without triazole antifungal agents: A real-world pharmacovigilance study based on the food and drug administration adverse event reporting system database.SAGE open medicine · 2025Article
- Leukemia in pregnancy: Diagnosis and therapeutic approach (Review).Molecular and clinical oncology · 2024Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the increased use of BCR-ABL1 tyrosine kinase inhibitors (TKIs) in cancer patients, adverse events (AEs) have garnered considerable interest. We conducted this pharmacovigilance study to evaluate the AEs of BCR-ABL1 TKIs in cancer patients using the Food and Drug Administration Adverse Event Reporting System (FAERS) database.
methodsTo query AE reports from the FAERS database, we used OpenVigil 2.1. Descriptive analysis was then employed to describe the characteristics of TKIs-associated AE reports. We also utilized the disproportionality analysis to detect safety signals by calculating the proportional reporting ratio (PRR) and reporting odds ratios (ROR).
resultsFrom the FAERS database, a total of 85,989 AE reports were retrieved, with 3,080 significant AE signals identified. Specifically, imatinib, nilotinib, dasatinib, bosutinib, and ponatinib had significant AE signals of 1,058, 813, 232, 186, and 791, respectively. These significant signals were further categorized into 26 system organ classes (SOCs). The AE signals of imatinib and ponatinib were primarily associated with general disorders and administration site conditions. On the other hand, nilotinib, dasatinib, and bosutinib were mainly linked to investigations, respiratory, thoracic and mediastinal disorders, and gastrointestinal disorders, respectively. Notably, new signals of 245, 278, 47, 55, and 253 were observed in imatinib, nilotinib, dasatinib, bosutinib, and ponatinib, respectively.
conclusionsThe results of this study demonstrated that AE signals differ among the five BCR-ABL1 TKIs. Furthermore, each BCR-ABL1 TKI displayed several new signals. These findings provide valuable information for clinicians aiming to reduce the risk of AEs during BCR-ABL1 TKI treatment.
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