A disproportionality analysis of adverse events caused by pexidartinib from the FDA adverse event reporting system

Dan Chen1, Xia-Wen Yang2, Jing Fu2

  • 1Department of Obstetrical, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.

Scientific Reports
|August 28, 2025
PubMed

Insights

Pexidartinib effectively treats tenosynovial giant cell tumor (TGCT), but real-world data show significant risks like liver damage and hair loss, particularly in females. Long-term monitoring is crucial for managing these adverse events.

Area of Science:

  • Oncology
  • Pharmacovigilance
  • Medical Informatics

Background:

  • Tenosynovial giant cell tumor (TGCT) is a rare neoplasm linked to CSF1/CSF1R pathway dysregulation.
  • High recurrence rates necessitate alternative treatments beyond surgery.
  • Pexidartinib, a CSF1R inhibitor, is an explored therapeutic option.

Purpose of the Study:

  • To analyze pexidartinib-associated adverse events (AEs) in TGCT patients.
  • To identify potential sex-specific differences in AE profiles.
  • To assess the robustness of AE signals using disproportionality and sensitivity analyses.

Main Methods:

  • Retrospective pharmacovigilance study using FDA Adverse Event Reporting System (FAERS) data (Q4 2019-Q3 2024).
  • Analysis of 844 pexidartinib-associated AE reports.
  • Disproportionality analyses (ROR, PRR, BCPNN, EBGM) and sensitivity assessments were employed.

Main Results:

  • Hepatic events (46.7% within 30 days) and systemic reactions (fatigue, hair discoloration) were common, with median onset at 35 days.
  • Females (71.3% of cases) showed stronger signals for constipation and alopecia.
  • 84 significant Preferred Terms were identified, with robust signals confirmed by sensitivity analyses.

Conclusions:

  • Pexidartinib treatment for TGCT is associated with significant hepatotoxicity and delayed-onset AEs (18.2% after 6 months).
  • Sex-dimorphic AE patterns necessitate tailored monitoring and risk management.
  • FAERS data are valuable for post-marketing surveillance and optimizing the risk-benefit profile of pexidartinib.

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