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Adverse event signals of pralsetinib and selpercatinib based on the FAERS database
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Shan SU1, Fang-wei CHEN2, Cui-fen YE1, Shao-zhuang CHEN2, Jia-wei LIU1, 3, *
Chinese Journal of New Drugs | 2026, 35(10) : 1113 - 1120
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Chinese Journal of New Drugs | 2026, 35(10): 1113-1120
Adverse event signals of pralsetinib and selpercatinib based on the FAERS database
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Shan SU1, Fang-wei CHEN2, Cui-fen YE1, Shao-zhuang CHEN2, Jia-wei LIU1, 3, *
Affiliations
  • 1Department of Pharmacy, Fudan University Shanghai Cancer Center Xiamen Hospital, Xiamen 361020, China
  • 2Department of Pharmacy, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen 361000, China
  • 3Department of Pharmacy, Fudan University Cancer Hospital, Shanghai 200032, China
Published: 2026-05-30 doi: 10.20251/j.cnki.1003-3734.2026.10.014
Outline
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Objective:

To identify and analyze post-marketing adverse drug event (ADE) signals associated with pralsetinib and selpercatinib, compare their respective adverse event profiles, and provide a more comprehensive evidence base to support clinical decision-making in drug selection.

Methods:

ADE reports for pralsetinib and selpercatinib were extracted from the U.S. FDA Adverse Event Reporting System (FAERS) database from April 2020 to December 2024. Disproportionality analysis was conducted using the reporting odds ratio (ROR) method.

Results:

The analysis revealed significant differences in the adverse event profiles of the two drugs. For instance, in the affected system, although the system organ class (SOC) distribution for the top three adverse events was similar between the two drugs, pratinib was associated with a higher frequency of risk signals in gastrointestinal disorders, respiratory/thoracic/mediastinal disorders, and nervous system disorders. In contrast, cepratinib exhibited a greater incidence of adverse reactions related to hepatobiliary disorders, skin and subcutaneous tissue disorders, and other system-specific effects compared to pratinib. Notably, even within the same SOC, the specific adverse reactions differed between the two drugs. For instance, in regard to cardiovascular toxicity, pralsetinib was linked to elevated myocardial necrosis markers, whereas selpercatinib was more frequently associated with QT interval prolongation. These distinctions highlight the need for drug-specific monitoring in clinical practice.

Conclusion:

While pralsetinib and selpercatinib share some overlapping adverse effects, their risk profiles exhibit distinct patterns. Individualized drug selection, guided by patient-specific factors and the unique toxicity profiles of each agent, is essential to optimize therapeutic outcomes.

pralsetinib  /  selpercatinib  /  adverse drug event  /  data mining  /  FAERS
苏珊, 陈芳伟, 叶翠芬, 陈少壮, 刘加葳. 基于FAERS数据库的普拉替尼和塞普替尼不良事件信号挖掘与分析. 中国新药杂志, 2026 , 35 (10) : 1113 -1120 . DOI: 10.20251/j.cnki.1003-3734.2026.10.014
Shan SU, Fang-wei CHEN, Cui-fen YE, Shao-zhuang CHEN, Jia-wei LIU. Adverse event signals of pralsetinib and selpercatinib based on the FAERS database[J]. Chinese Journal of New Drugs, 2026 , 35 (10) : 1113 -1120 . DOI: 10.20251/j.cnki.1003-3734.2026.10.014
Year 2026 volume 35 Issue 10
52
14
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Article Info
doi: 10.20251/j.cnki.1003-3734.2026.10.014
  • Online Date:2026-10-26
  • Published:2026-05-30
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History
  • Accepted:2025-08-19
Affiliations
    1Department of Pharmacy, Fudan University Shanghai Cancer Center Xiamen Hospital, Xiamen 361020, China
    2Department of Pharmacy, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen 361000, China
    3Department of Pharmacy, Fudan University Cancer Hospital, Shanghai 200032, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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