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Safety Signal Mining Study of Tazemetostat Based on the FAERS Database
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Xiuzhong CAI1, Qianhua LUO2, Xiaoshan CHEN3, Wenfeng LIAO1, Caifu FANG1, *
Pharmacy Today | 2026, 36(3) : 206 - 212
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Pharmacy Today | 2026, 36(3): 206-212
Safety Signal Mining Study of Tazemetostat Based on the FAERS Database
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Xiuzhong CAI1, Qianhua LUO2, Xiaoshan CHEN3, Wenfeng LIAO1, Caifu FANG1, *
Affiliations
  • 1.Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China
  • 2.Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510060, China
  • 3.Guangzhou Red Cross Hospital, Guangzhou, Guangdong 510060, China
Published: 2026-03-25 doi: 10.12048/j.issn.1674-229X.2026.03.008
Outline
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OBJECTIVE

To first systematically mine and characterize the real-world drug safety signals of the EZH2 inhibitor tazemetostat using the FDA Adverse Event Reporting System (FAERS) database, to provide evidence-based support for clinical risk management.

METHODS

A dual-algorithm validation framework (Reporting Odds Ratio, ROR + Proportional Reporting Ratio, PRR) was applied to analyze 1 225 reports listing tazemetostat as the primary suspected drug submitted between Q1 2020 and Q1 2025. False positives were controlled using χ2 > 4. After excluding Preferred Terms (PTs) related to the drug's indication and non‐drug-related System Organ Classes (SOCs), 94 valid signals (involving 1 690 reports) were ultimately identified.

RESULTS

(1) Twenty- four signals (25.5% of total signals) not listed in the current drug package insert were detected. Strong signals included dysgeusia (ROR = 17.39, 95%CI = 13.00-23.27), parosmia (ROR = 10.91, 95%CI = 4.53-26.25), and decreased red blood cell count (ROR=6.94, 95%CI = 4.11-11.73). (2) The most frequently reported signals were fatigue (12.8%), nausea (9.3%), and diarrhea (7.6%). (3) Multisystem toxicity was observed, primarily involving the gastrointestinal system (33.08%), general reactions (25.21%), and nervous system (9.23%).

CONCLUSION

This is the first comprehensive pharmacovigilance study of tazemetostat reveals its potential to induce multisystem toxicity, mediated through neurosensory pathways and bone marrow hematopoietic homeostasis. The identification of unlisted signals challenges the traditional view that EZH2 inhibitor toxicity is confined to proliferative tissues. These findings provide crucial real-world evidence supporting the theory of systemic toxicity for epigenetic drugs and hold significant value for optimizing clinical drug monitoring strategies during tazemetostat therapy.

epithelioid sarcoma  /  tazemetostat  /  adverse drug events  /  signal mining  /  FAERS  /  pharmacovigilance
蔡秀忠, 罗茜华, 陈肖珊, 廖文锋, 房财富. 基于FAERS数据库的他泽司他安全信号挖掘研究. 今日药学, 2026 , 36 (3) : 206 -212 . DOI: 10.12048/j.issn.1674-229X.2026.03.008
Xiuzhong CAI, Qianhua LUO, Xiaoshan CHEN, Wenfeng LIAO, Caifu FANG. Safety Signal Mining Study of Tazemetostat Based on the FAERS Database[J]. Pharmacy Today, 2026 , 36 (3) : 206 -212 . DOI: 10.12048/j.issn.1674-229X.2026.03.008
Year 2026 volume 36 Issue 3
162
34
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doi: 10.12048/j.issn.1674-229X.2026.03.008
  • Receive Date:2025-07-04
  • Online Date:2026-09-23
  • Published:2026-03-25
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  • Received:2025-07-04
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Affiliations
    1.Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China
    2.Guangdong Second Provincial General Hospital, Guangzhou, Guangdong 510060, China
    3.Guangzhou Red Cross Hospital, Guangzhou, Guangdong 510060, China
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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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