Disproportionality analysis comparing safety profiles of sonidegib and vismodegib based on the FAERS database

Zhixing Zheng1, Zhengeng Wang1,2, Qinghui Guo1

  • 1Cancer Center, Yongding District Hospital of Longyan, Longyan, 364100, China.

Scientific Reports
|November 1, 2025
PubMed

Insights

This study analyzed hedgehog pathway inhibitors (HPIs) sonidegib and vismodegib safety data. Unexpected adverse events like cancers and heart block were detected, highlighting the need for further clinical research.

Area of Science:

  • Pharmacology and Oncology
  • Drug Safety and Pharmacovigilance

Background:

  • Hedgehog pathway inhibitors (HPIs) like sonidegib and vismodegib are approved for basal cell carcinoma.
  • Limited real-world safety data exists for these HPIs.
  • Understanding long-term safety profiles is crucial for clinical practice.

Purpose of the Study:

  • To comprehensively evaluate the long-term safety profiles of sonidegib and vismodegib.
  • To identify common and unexpected adverse events (AEs) using real-world data.
  • To explore potential gender differences and time to onset (TTO) for AEs.

Main Methods:

  • Analysis of FDA Adverse Event Reporting System (FAERS) data from 2012 to 2024.
  • Utilized four disproportionality analysis algorithms (ROR, PRR, BCPNN, MGPS) across 25 System Organ Classes (SOCs).
  • Investigated gender differences and calculated median TTO for identified AEs.

Main Results:

  • Common AEs included muscle spasms, alopecia, and ageusia.
  • Unexpected AEs detected: triple negative breast cancer (TNBC), squamous cell carcinoma, and complete atrioventricular block for sonidegib; atrophic glossitis, malignant neoplasms of the eye, and deafness for vismodegib.
  • Identified gender differences in AE signals and median TTO (sonidegib: 67 days, vismodegib: 56 days).

Conclusions:

  • Sonidegib and vismodegib exhibit distinct AE reporting patterns.
  • Findings generate hypotheses for prospective studies to confirm safety signals.
  • This research offers new safety insights for clinicians, potentially improving patient care, but FAERS data is hypothesis-generating, not causal.

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