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A real-world pharmacovigilance study of FDA adverse event reporting system (FAERS) events for sunitinib
Xusheng Zhang1, Xiuli Ren1, Tianyu Zhu2
1Department of Pharmacology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Background:
Sunitinib is approved for the treatment of metastatic renal cell carcinoma (mRCC), imatinib-resistant gastrointestinal stromal tumors (GIST), and advanced pancreatic neuroendocrine tumors (PNET). This study aims to investigate the safety profiles of sunitinib through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS).
Methods:
The individual case safety reports (ICSRs) on sunitinib from 2006 Q1 to 2024 Q1 were collected from the ASCII data packages in the Food and Drug Administration Adverse Event Reporting System (FAERS). After standardizing the data, a variety of disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) were employed to identify the potential safety signals of sunitinib-associated AEs.
Results:
A total of 35,923 ICSRs of sunitinib as the "primary suspected" drug were identified within the reporting period. The search detected 276 disproportionate preferred terms (PTs). The most common AEs, including diarrhea, asthenia, decreased appetite, hypertension, and dysgeusia, were consistent with the drug label and clinical trials. Unexpected significant AEs, such as uveal melanocytic proliferation, salivary gland fistula, yellow skin, eyelash discoloration, scrotal inflammation, were detected. The median onset time of sunitinib-related AEs was 57 days (interquartile range [IQR]16-170 days), with most of the ICSRs developing within the first month (n = 4,582, 39.73%) after sunitinib therapy as initiated.
Conclusion:
The results of our study were consistent with routine clinical observations, and some unexpected AEs signals were also identified for sunitinib, providing valuable evidence for the safe use of sunitinib in the real-world and contributing to the clinical monitoring and risk identification of sunitinib.
Insights
This study analyzed 35,923 adverse event reports for sunitinib, confirming known side effects and identifying new safety signals like uveal melanocytic proliferation. Findings support safe real-world use and clinical monitoring of sunitinib.
Area of Science:
- Pharmacovigilance
- Oncology
- Drug Safety
Background:
- Sunitinib is approved for metastatic renal cell carcinoma (mRCC), imatinib-resistant gastrointestinal stromal tumors (GIST), and advanced pancreatic neuroendocrine tumors (PNET).
- Investigating the safety profile of sunitinib is crucial for its real-world application.
Purpose of the Study:
- To mine the US Food and Drug Administration Adverse Event Reporting System (FAERS) database for potential safety signals associated with sunitinib.
- To identify both known and previously unrecognized adverse events (AEs) linked to sunitinib therapy.
Main Methods:
- Collected individual case safety reports (ICSRs) for sunitinib from Q1 2006 to Q1 2024 from FAERS.
- Employed disproportionality analyses, including ROR, PRR, BCPNN, and MGPS, to detect significant safety signals.
- Standardized and analyzed 35,923 ICSRs where sunitinib was the primary suspected drug.
Main Results:
- Identified 276 disproportionate preferred terms (PTs) associated with sunitinib.
- Common AEs (diarrhea, asthenia, decreased appetite, hypertension, dysgeusia) aligned with existing data.
- Detected unexpected safety signals, including uveal melanocytic proliferation, salivary gland fistula, and skin/eyelash/scrotal changes.
- Median onset for AEs was 57 days, with a significant proportion occurring within the first month of treatment.
Conclusions:
- The study confirmed known sunitinib AEs and identified novel safety signals.
- Findings provide valuable real-world evidence for the safe use and clinical monitoring of sunitinib.
- This pharmacovigilance analysis aids in risk identification for sunitinib therapy.
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