免疫检查点抑制剂联合血管生成抑制剂的不良反应:药物-药物相互作用的药物警戒分析。

IF 3.5 3区 医学
Xiayang Ren, Lei Deng, Xin Dong, Ying Bai, Guohui Li, Yanfeng Wang
{"title":"免疫检查点抑制剂联合血管生成抑制剂的不良反应:药物-药物相互作用的药物警戒分析。","authors":"Xiayang Ren, Lei Deng, Xin Dong, Ying Bai, Guohui Li, Yanfeng Wang","doi":"10.1177/03946320241305390","DOIUrl":null,"url":null,"abstract":"<p><p>The combination of immune checkpoint inhibitors (ICIs) and angiogenesis inhibitors (AGIs) is widely used in cancer treatment; however, drug-drug reactions (DDIs) remain unknown. We aimed to identify interaction signals for the concomitant use of ICIs and AGIs. Data were obtained from the US FDA Adverse Event Reporting System (FAERS) from January 1, 2015, to December 31, 2023. Disproportionality analysis was used for data mining by calculating the reporting odds ratio (ROR) and 95% confidence interval (95% CI). Adjusted RORs were analysed using logistic regression analysis, considering age, sex and reporting year. Further confirmation was assessed via additive and multiplicative models. We identified 75,936 reports on ICIs combined with AGIs. Significant interaction signals were observed for hepatobiliary disorders (RORcrude: 5.25, 95% CI: 5.07-5.44, RORadj: 5.01, 95% CI: 4.82-5.22, additive models: 0.2323), investigations (RORcrude: 1.66, 95% CI: 1.62-1.70, RORadj: 1.63, 95% CI: 1.58-1.67, additive models: 0.2187, multiplicative models: 1.1265), renal and urinary disorders (RORcrude: 1.87, 95% CI: 1.80-1.95, RORadj: 1.72, 95% CI: 1.64-1.79, additive models: 0.3239, multiplicative models: 1.1799) and vascular disorders (RORcrude: 1.94, 95% CI: 1.87-2.02, RORadj: 1.87, 95% CI: 1.80-1.95, additive models: 0.5823, multiplicative models: 1.5676). Subset data analysis showed positive interaction signals for PDL-1/CTLA-4 inhibitors + AGI in hepatobiliary disorders, PD-1 inhibitors + AGI in investigations, or PD-1/PDL-1 inhibitors + AGI in renal and urinary/ vascular disorders. Based on FAERS data, four systemic disorders were identified as having DDIs related to the combined use of ICIs and AGIs. Pre-clinical trials are required to explore the mechanisms underlying these interactions.</p>","PeriodicalId":48647,"journal":{"name":"International Journal of Immunopathology and Pharmacology","volume":"38 ","pages":"3946320241305390"},"PeriodicalIF":3.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632882/pdf/","citationCount":"0","resultStr":"{\"title\":\"Adverse reactions of immune checkpoint inhibitors combined with angiogenesis inhibitors: A pharmacovigilance analysis of drug-drug interactions.\",\"authors\":\"Xiayang Ren, Lei Deng, Xin Dong, Ying Bai, Guohui Li, Yanfeng Wang\",\"doi\":\"10.1177/03946320241305390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The combination of immune checkpoint inhibitors (ICIs) and angiogenesis inhibitors (AGIs) is widely used in cancer treatment; however, drug-drug reactions (DDIs) remain unknown. We aimed to identify interaction signals for the concomitant use of ICIs and AGIs. Data were obtained from the US FDA Adverse Event Reporting System (FAERS) from January 1, 2015, to December 31, 2023. Disproportionality analysis was used for data mining by calculating the reporting odds ratio (ROR) and 95% confidence interval (95% CI). Adjusted RORs were analysed using logistic regression analysis, considering age, sex and reporting year. Further confirmation was assessed via additive and multiplicative models. We identified 75,936 reports on ICIs combined with AGIs. Significant interaction signals were observed for hepatobiliary disorders (RORcrude: 5.25, 95% CI: 5.07-5.44, RORadj: 5.01, 95% CI: 4.82-5.22, additive models: 0.2323), investigations (RORcrude: 1.66, 95% CI: 1.62-1.70, RORadj: 1.63, 95% CI: 1.58-1.67, additive models: 0.2187, multiplicative models: 1.1265), renal and urinary disorders (RORcrude: 1.87, 95% CI: 1.80-1.95, RORadj: 1.72, 95% CI: 1.64-1.79, additive models: 0.3239, multiplicative models: 1.1799) and vascular disorders (RORcrude: 1.94, 95% CI: 1.87-2.02, RORadj: 1.87, 95% CI: 1.80-1.95, additive models: 0.5823, multiplicative models: 1.5676). Subset data analysis showed positive interaction signals for PDL-1/CTLA-4 inhibitors + AGI in hepatobiliary disorders, PD-1 inhibitors + AGI in investigations, or PD-1/PDL-1 inhibitors + AGI in renal and urinary/ vascular disorders. Based on FAERS data, four systemic disorders were identified as having DDIs related to the combined use of ICIs and AGIs. Pre-clinical trials are required to explore the mechanisms underlying these interactions.</p>\",\"PeriodicalId\":48647,\"journal\":{\"name\":\"International Journal of Immunopathology and Pharmacology\",\"volume\":\"38 \",\"pages\":\"3946320241305390\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632882/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Immunopathology and Pharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/03946320241305390\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Immunopathology and Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/03946320241305390","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

免疫检查点抑制剂(ICIs)和血管生成抑制剂(AGIs)的联合应用已广泛应用于癌症治疗;然而,药物-药物反应(ddi)仍然未知。我们的目的是确定ici和agi同时使用的相互作用信号。数据来自2015年1月1日至2023年12月31日的美国FDA不良事件报告系统(FAERS)。通过计算报告优势比(ROR)和95%置信区间(95% CI),使用歧化分析进行数据挖掘。考虑年龄、性别和报告年份,采用logistic回归分析对调整后的误差进行分析。通过加法和乘法模型评估进一步的确认。我们确定了75,936份关于ICIs与agi联合的报告。在肝胆疾病(RORcrude: 5.25, 95% CI: 5.07-5.44, RORadj: 5.01, 95% CI: 4.82-5.22,相加模型:0.2323)、调查(RORcrude: 1.66, 95% CI: 1.62-1.70, RORadj: 1.63, 95% CI: 1.58-1.67,相加模型:0.2187,相乘模型:1.1265)、肾脏和泌尿系统疾病(RORcrude: 1.87, 95% CI: 1.80-1.95, RORadj: 1.72, 95% CI: 1.64-1.79,相加模型:0.3239,相乘模型:1.1799)和血管疾病(RORcrude:1.94, 95% CI: 1.87-2.02, RORadj: 1.87, 95% CI: 1.80-1.95,加性模型:0.5823,乘法模型:1.5676)。亚组数据分析显示,在肝胆疾病中,PDL-1/CTLA-4抑制剂+ AGI,在调查中,PD-1抑制剂+ AGI,或在肾脏和泌尿/血管疾病中,PD-1/PDL-1抑制剂+ AGI具有正相互作用信号。根据FAERS数据,四种全身性疾病被确定为与ICIs和AGIs联合使用相关的ddi。需要进行临床前试验来探索这些相互作用的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adverse reactions of immune checkpoint inhibitors combined with angiogenesis inhibitors: A pharmacovigilance analysis of drug-drug interactions.

The combination of immune checkpoint inhibitors (ICIs) and angiogenesis inhibitors (AGIs) is widely used in cancer treatment; however, drug-drug reactions (DDIs) remain unknown. We aimed to identify interaction signals for the concomitant use of ICIs and AGIs. Data were obtained from the US FDA Adverse Event Reporting System (FAERS) from January 1, 2015, to December 31, 2023. Disproportionality analysis was used for data mining by calculating the reporting odds ratio (ROR) and 95% confidence interval (95% CI). Adjusted RORs were analysed using logistic regression analysis, considering age, sex and reporting year. Further confirmation was assessed via additive and multiplicative models. We identified 75,936 reports on ICIs combined with AGIs. Significant interaction signals were observed for hepatobiliary disorders (RORcrude: 5.25, 95% CI: 5.07-5.44, RORadj: 5.01, 95% CI: 4.82-5.22, additive models: 0.2323), investigations (RORcrude: 1.66, 95% CI: 1.62-1.70, RORadj: 1.63, 95% CI: 1.58-1.67, additive models: 0.2187, multiplicative models: 1.1265), renal and urinary disorders (RORcrude: 1.87, 95% CI: 1.80-1.95, RORadj: 1.72, 95% CI: 1.64-1.79, additive models: 0.3239, multiplicative models: 1.1799) and vascular disorders (RORcrude: 1.94, 95% CI: 1.87-2.02, RORadj: 1.87, 95% CI: 1.80-1.95, additive models: 0.5823, multiplicative models: 1.5676). Subset data analysis showed positive interaction signals for PDL-1/CTLA-4 inhibitors + AGI in hepatobiliary disorders, PD-1 inhibitors + AGI in investigations, or PD-1/PDL-1 inhibitors + AGI in renal and urinary/ vascular disorders. Based on FAERS data, four systemic disorders were identified as having DDIs related to the combined use of ICIs and AGIs. Pre-clinical trials are required to explore the mechanisms underlying these interactions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Immunopathology and Pharmacology
International Journal of Immunopathology and Pharmacology Immunology and Microbiology-Immunology
自引率
0.00%
发文量
88
期刊介绍: International Journal of Immunopathology and Pharmacology is an Open Access peer-reviewed journal publishing original papers describing research in the fields of immunology, pathology and pharmacology. The intention is that the journal should reflect both the experimental and clinical aspects of immunology as well as advances in the understanding of the pathology and pharmacology of the immune system.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信