Pandya Krutarth K, Mann Chitsimran, Fang Wei, Patel Brijesh
Department of Cardiology, Cleveland, Ohio, 44195, USA.
Adventist Health Bakersfield, 2615 Chester Ave, Bakersfield, CA 93301, USA.
Curr Drug Saf. 2025 Aug 8. doi: 10.2174/0115748863312388240829190436.
Cisplatin, a platinum-based antineoplastic agent belonging to the alkylating class, is one of the most widely used chemotherapeutic agents in the treatment of solid tumors and hematologic malignancies. Cisplatin works by forming covalent bonds in DNA, resulting in cell cycle arrest, inadequate repair, and ultimately, apoptotic or non-apoptotic cell death. Despite its efficacy, cisplatin is known to be highly toxic, showing nephrological, Gastrointestinal (GI), and hepatotoxicity, but there is limited data on its association with adverse vascular events. Hence, we aimed to investigate the potential risk of drug-related adverse vascular events associated with four cisplatin-based combination therapies using the FDA Adverse Events Reporting System (FAERS).
We used the FDA Adverse Events Reporting System (FAERS) database to look for reported Adverse Events (AEs) for cisplatin-based combinations. In the current study, a case/non-case disproportionality analysis has been performed using the Reporting Odds Ratio (ROR) to investigate whether there is a signal for a potentially increased risk of drug-related vascular AE using the 2016-2020 FAERS datasets. To look for all vascular AEs, we included peripheral vascular events, cerebrovascular events, coronary artery-related events, venothromboembolic events, and other arterial events. "Cases" were defined as patients treated with cisplatin and any one of etoposide, gemcitabine, paclitaxel or docetaxel, and 5-fluorouracil or capecitabine, and have reported a composite event. Hence, cases were divided into 4 groups. Reporting Odds Ratio (ROR) and Information Component (IC) were derived to look for signals for these AEs being significant when compared to non-cases. All data processing and statistical analyses were performed using R 4.2.1.
Between 2016 and 2020, 23,513 AEs were reported for patients who used cisplatinbased combinations, and 6,952,691 AEs in patients who did not. Baseline characteristics, including age, sex, and geographic distribution, were also reported. Looking at ROR and IC, all 4 groups showed statistically significant vasculopathies reported for cisplatin-based combinations, except for cisplatin and paclitaxel/docetaxel where there was a trend in ROR, but it did not reach statistical significance. It also gave the least signal for associated vasculopathy, while cisplatin and gemcitabine gave the highest signal with both ROR and IC for associated vasculopathy.
Overall, these increased vasculopathies related to the use of cisplatin-based combinations can be related to the increased pro-thrombotic state in these patients. The results of this study highlight the need for caution when using cisplatin-based chemotherapy and the importance of monitoring patients for thrombotic events and other vasculopathies. Patient-specific factors, such as the type and stage of cancer, should be considered when determining the best treatment option and managing the risk of vascular complications.
顺铂是一种属于烷化剂类的铂类抗肿瘤药物,是治疗实体瘤和血液系统恶性肿瘤最广泛使用的化疗药物之一。顺铂通过在DNA中形成共价键发挥作用,导致细胞周期停滞、修复不足,最终导致凋亡或非凋亡性细胞死亡。尽管顺铂疗效显著,但已知其毒性很强,会表现出肾脏、胃肠道(GI)和肝毒性,但关于其与不良血管事件关联的数据有限。因此,我们旨在使用美国食品药品监督管理局不良事件报告系统(FAERS)调查四种基于顺铂的联合疗法相关的药物性不良血管事件的潜在风险。
我们使用FAERS数据库查找基于顺铂联合疗法的报告不良事件(AE)。在本研究中,使用报告比值比(ROR)进行病例/非病例不成比例分析,以使用2016 - 2020年FAERS数据集调查是否存在药物相关血管AE潜在风险增加的信号。为了查找所有血管AE,我们纳入了外周血管事件、脑血管事件、冠状动脉相关事件、静脉血栓栓塞事件和其他动脉事件。“病例”定义为接受顺铂与依托泊苷、吉西他滨、紫杉醇或多西他赛以及5 - 氟尿嘧啶或卡培他滨中任何一种联合治疗且报告了复合事件的患者。因此,病例分为4组。计算报告比值比(ROR)和信息成分(IC),以查找与非病例相比这些AE具有显著性的信号。所有数据处理和统计分析均使用R 4.2.1进行。
2016年至2020年期间,使用基于顺铂联合疗法患者报告了23,513例AE,未使用的患者报告了6,952,691例AE。还报告了包括年龄、性别和地理分布在内的基线特征。查看ROR和IC,所有4组基于顺铂联合疗法报告的血管病变均具有统计学意义,除了顺铂与紫杉醇/多西他赛组,其ROR有趋势但未达到统计学意义。它与相关血管病变的关联信号也最少,而顺铂与吉西他滨组在ROR和IC方面与相关血管病变的关联信号最高。
总体而言,这些与使用基于顺铂联合疗法相关的血管病变增加可能与这些患者血栓形成前状态增加有关。本研究结果强调了在使用基于顺铂的化疗时需谨慎,以及监测患者血栓形成事件和其他血管病变的重要性。在确定最佳治疗方案和管理血管并发症风险时,应考虑患者特定因素,如癌症类型和分期。