Adverse Event Profiles of PARP Inhibitors: Analysis of Spontaneous Reports Submitted to FAERS

被引:42
|
作者
Tian, Xiaojiang [1 ]
Chen, Lin [1 ]
Gai, Di [2 ]
He, Sijie [3 ]
Jiang, Xuan [4 ]
Zhang, Ni [4 ]
机构
[1] Chongqing Hlth Ctr Women & Children, Dept Pharm, Chongqing, Peoples R China
[2] Capital Med Univ, Beijing Obstet & Gynecol Hosp, Beijing Maternal & Child Hlth Care Hosp, Dept Pharm, Beijing, Peoples R China
[3] Huazhong Univ Sci & Technol, Maternal & Child Hlth Hosp Hubei Prov, Tongji Med Coll, Dept Pharm, Wuhan, Peoples R China
[4] Chongqing Med Univ, Affiliated Hosp 2, Dept Oncol, Chongqing, Peoples R China
关键词
PARP inhibitors; adverse events; FDA adverse events reporting system; reporting odds ratios; signal detection; NIRAPARIB MAINTENANCE THERAPY; RANDOMIZED CONTROLLED-TRIALS; OVARIAN-CANCER; DOUBLE-BLIND; SIGNAL-DETECTION; OLAPARIB; PHARMACOVIGILANCE; METAANALYSIS; SAFETY;
D O I
10.3389/fphar.2022.851246
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background: Several poly ADP ribose polymerase inhibitors (PARPis) are currently approved for the treatment of a variety of cancers. The safety profile of PARPis has not yet been systemically analyzed in the real world. We conducted this pharmacovigilance analysis using the US FDA's Adverse Event Reporting System (FAERS) database to explore the difference in adverse events (AEs) among PARPis.Methods: FAERS data (December 2014 to October 2021) were searched for reports of all FDA-approved PARPis across all indications. We used the standardized MedDRA query (SMQ) generalized search AEs on the preferred term (PT) level based on case reports. After filtering duplicate reports, disproportionality analysis was used to detect safety signals by calculating reporting odds ratios (ROR). Reports were considered statistically significant if the 95% confidence interval did not contain the null value.Results: Within the standardized MedDRA queries, significant safety signals were found, including those for olaparib [blood premalignant disorders (ROR = 17.06)], rucaparib [taste and smell disorders (ROR = 9.17)], niraparib [hematopoietic throbocytopenia (ROR = 28.2)], and talazoparib [hematopoietic erythropenia (ROR = 9.38)]. For AEs on the PT level, we found several significant signals, including platelet count decreased with niraparib (ROR = 52.78); red blood cell count decreased with niraparib (ROR = 70.47) and rucaparib (ROR = 15.09); myelodysplastic syndrome with olaparib (ROR = 35.47); acute myeloid leukaemia with olaparib (ROR = 25.14); blood pressure fluctuation with niraparib (ROR = 20.54); lymphangioleiomyomatosis with niraparib (ROR = 471.20); photosensitivity reaction with niraparib (ROR = 21.77) and rucaparib (ROR = 18.92); renal impairment with rucaparib (ROR = 33.32); and interstitial lung disease with Olaparib (ROR = 11.31). All the detected safety signals were confirmed using signals of disproportionality reporting methods.Conclusion: PARPis differed in their safety profile reports. The analysis of the FAERS database revealed significant safety signals that matched previously published case reports, including serious gastrointestinal, blood and lymphatic system, cardiovascular and respiratory complications, which require individualized drug administration according to patients' conditions.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Adverse event profiles of dipeptidyl peptidase-4 inhibitors: data mining of the public version of the FDA adverse event reporting system
    Huang, Jing
    Jia, Yuntao
    Sun, Shusen
    Meng, Long
    BMC PHARMACOLOGY & TOXICOLOGY, 2020, 21 (01)
  • [22] Anaplastic lymphoma kinase tyrosine kinase inhibitors associated gastrointestinal obstruction, perforation, and ulceration: an analysis of the FDA adverse event reporting system database (FAERS)
    Huang, Jing
    Zhao, Yibei
    Cao, Yanni
    Zhang, Qingxia
    Ran, Dongzhi
    Li, Jinyan
    Luo, Ling
    Qiu, Feng
    Meng, Long
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2022, 44 (04) : 993 - 1003
  • [23] Adverse events of direct factor Xa inhibitors: a disproportionality analysis of the FAERS database
    Qian, Yating
    Zhao, Xinxia
    Liu, Danyi
    Liu, Junting
    Yue, Zhongsheng
    Liu, Wei
    EXPERT OPINION ON DRUG SAFETY, 2024, 23 (11) : 1473 - 1482
  • [24] Cardioprotective Effects of PARP Inhibitors: A Re-Analysis of a Meta-Analysis and a Real-Word Data Analysis Using the FAERS Database
    Han, Ja-Young
    Seo, Young-Eun
    Kwon, Jae-Hee
    Kim, Jae Hyun
    Kim, Myeong Gyu
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (05)
  • [25] Adverse event reporting of faricimab: a disproportionality analysis of FDA adverse event reporting system (FAERS) database
    He, Chang-Zhu
    Qiu, Qin
    Lu, Song-Jie
    Xue, Fu-Li
    Liu, Jun-Qiao
    He, Yu
    FRONTIERS IN PHARMACOLOGY, 2025, 16
  • [26] Direct patient reporting of adverse drug reactions: An analysis of spontaneous reports submitted to Malaysian pharmacovigilance centre
    Hariraj, Vidhya
    Aziz, Zoriah
    TROPICAL JOURNAL OF PHARMACEUTICAL RESEARCH, 2018, 17 (08) : 1673 - 1679
  • [27] Post-marketing safety concerns with nirmatrelvir: A disproportionality analysis of spontaneous reports submitted to the FDA Adverse Event Reporting System
    Zhuang, Wei
    Xu, Jiabing
    Wu, Ye
    Yang, Jianhui
    Lin, Xiuxian
    Liao, Yufang
    Wan, Jun
    Weng, Lizhu
    Lin, Wanlong
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2023, 89 (09) : 2830 - 2842
  • [28] Postmarketing safety of anaplastic lymphoma kinase (ALK) inhibitors: an analysis of the FDA Adverse Event Reporting System (FAERS)
    Omar, N. E.
    Soliman, A. I. Fahmy
    Eshra, M.
    Saeed, T.
    Hamad, A.
    Abou-Ali, A.
    ESMO OPEN, 2021, 6 (06)
  • [29] Mining and analysis of adverse event signals of vandetanib based on the FAERS database
    Zhou, Ying
    Li, Na
    Ma, Guowei
    Su, Ning
    Liu, Jiang
    Yue, Wenxi
    Yin, Rui
    Chen, Jie
    EXPERT OPINION ON DRUG SAFETY, 2024,
  • [30] Analysis of Neuropsychiatric Adverse Events in Patients Treated with Oseltamivir in Spontaneous Adverse Event Reports
    Ueda, Natsumi
    Umetsu, Ryogo
    Abe, Junko
    Kato, Yamato
    Nakayama, Yoko
    Kato, Zenichiro
    Kinosada, Yasutomi
    Nakamura, Mitsuhiro
    BIOLOGICAL & PHARMACEUTICAL BULLETIN, 2015, 38 (10) : 1638 - 1644