Liu Wensheng, Song Xue, Du Qiong, Liu Jiyong
Department of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Front Immunol. 2025 Aug 27;16:1646038. doi: 10.3389/fimmu.2025.1646038. eCollection 2025.
Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are potentially fatal cutaneous adverse events of drug treatment. Evidence for SJS/TEN risk from current anticancer therapies in population-based studies is scarce.
The present study aims to characterize the profiles and risk factors of SJS/TEN related to contemporary anticancer regimens.
Reported odds ratios (ROR) were employed to identify anticancer drugs associated with SJS/TEN development using FAERS data from January 2004 to September 2024. Single factor, LASSO, and multivariable logistic regression analysis were performed to explore the risk factors of SJS/TEN related to anticancer therapies. Weibull shape parameter analysis was applied to the onset time of reported SJS/TEN.
A total of 3471 unique SJS/TEN events were identified for 159 anticancer drug pairs, of which 31 drugs were identified as significantly disproportionate. Targeted therapies accounted for 35.93% of pairs, chemotherapies for 35.52%, and immunotherapies for 21.52%. The median onset time of SJS/TEN with anticancer therapies was 17 days. Moreover, multivariable logistic regression showed that age exceeding 65, female gender, and 10 anticancer drugs were significant risk factors for anticancer therapy-related SJS/TEN.
This study provides real-world evidence regarding the burden of SJS/TEN associated with anticancer therapies. Addressing this knowledge gap will facilitate the optimization of clinical management for SJS/TEN. Further research to establish causality and inform clinical decision-making related to anticancer therapy-associated SJS/TEN is urgently needed.
史蒂文斯 - 约翰逊综合征(SJS)和中毒性表皮坏死松解症(TEN)是药物治疗中潜在致命的皮肤不良反应。基于人群的研究中,关于当前抗癌疗法导致SJS/TEN风险的证据稀缺。
本研究旨在描述与当代抗癌方案相关的SJS/TEN的特征和风险因素。
利用2004年1月至2024年9月的FAERS数据,采用报告比值比(ROR)来识别与SJS/TEN发生相关的抗癌药物。进行单因素、LASSO和多变量逻辑回归分析,以探索与抗癌疗法相关的SJS/TEN的风险因素。对报告的SJS/TEN发病时间进行威布尔形状参数分析。
共识别出159对抗癌药物对的3471例独特的SJS/TEN事件,其中31种药物被确定为显著不成比例。靶向疗法占药物对的35.93%,化疗占35.52%,免疫疗法占21.52%。抗癌疗法导致的SJS/TEN的中位发病时间为17天。此外,多变量逻辑回归显示,年龄超过65岁、女性以及10种抗癌药物是与抗癌疗法相关的SJS/TEN的显著风险因素。
本研究提供了关于抗癌疗法相关SJS/TEN负担的真实世界证据。填补这一知识空白将有助于优化SJS/TEN的临床管理。迫切需要进一步研究以确定因果关系,并为与抗癌疗法相关的SJS/TEN的临床决策提供信息。