布加替尼治疗阿根廷间变性淋巴瘤激酶(ALK)阳性转移性非小细胞肺癌(NSCLC)的安全性和有效性:一项上市后监测研究

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2025-06-01 Epub Date: 2025-02-26 DOI:10.1007/s40801-025-00484-z
Claudio Martin, Gabriela Ileana Malcervelli, Gastón Lucas Martinengo, Patricio Levit, Patricio Servienti, Elisa Malaver, Laura Brion, Vanesa Patronella, Andrea Zumárraga, Jose Zarba
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引用次数: 0

摘要

背景:新一代间变性淋巴瘤激酶(ALK)抑制剂Brigatinib于2016年获批用于ALK阳性转移性非小细胞肺癌的治疗。然而,关于布加替尼在拉丁美洲的安全性和有效性的真实证据仍然有限。目的:本研究的目的是评估布加替尼在阿根廷现实世界中的安全性和有效性。方法:我们对诊断为ALK阳性转移性非小细胞肺癌的成人患者(年龄≥18岁)进行了一项非介介性队列研究,这些患者以前没有接受过ALK抑制剂治疗(一线)或治疗(二线),并且在2020年11月至2023年3月期间接受了至少一剂布加替尼。主要结局是治疗后出现的不良事件的发生率。在24周的随访中,次要结果是患者的总体最佳客观缓解率为完全缓解或部分缓解的百分比;颅内客观反应率;无进展生存;总体存活率。结果:纳入研究的39例患者中(n = 22例[一线];N = 17例(二线),12例患者(30.7%)出现治疗后出现的不良事件,最常见的是转氨酶水平升高(7.6%),血肌酸磷酸激酶水平升高(5%)和低钾血症(5%)。大多数不良事件(85.7%)为轻至中度。布加替尼一线或二线治疗患者24周的疗效结果分别如下:总体客观缓解率:81.8%和70.5%;颅内客观缓解率(基线时脑转移患者):66.6%和88.8%;无进展生存期:93.8%和82.4%;总生存率:100%和87.5%。结论:在阿根廷的常规临床实践中,布加替尼被证明是一种安全有效的治疗alk阳性转移性非小细胞肺癌的选择。临床试验注册:NCT04887519。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safety and Effectiveness of Brigatinib in Anaplastic Lymphoma Kinase (ALK) Positive Metastatic Non-Small Cell Lung Cancer (NSCLC) in Argentina: A Post-Marketing Surveillance Study.

Background: Brigatinib, a next-generation anaplastic lymphoma kinase (ALK) inhibitor was licensed for the treatment of ALK-positive metastatic non-small cell lung cancer in 2016. However, real-world evidence on the safety and effectiveness of brigatinib in Latin America remains limited.

Objective: The aim of this study was to assess the safety and effectiveness of brigatinib in the real world in Argentina.

Methods: We conducted a non-interventional cohort study of adult patients (aged ≥  18 years) with a diagnosis of ALK-positive metastatic non-small cell lung cancer not previously treated (first line) or previously treated (second line) with an ALK inhibitor and who received at least one dose of brigatinib between November 2020 and March 2023. The primary outcome was the incidence of treatment-emergent adverse events. Secondary outcomes at the 24-week follow-up were the percentage of patients with an overall best objective response rate of complete or partial response; intracranial objective response rate; progression-free survival; and overall survival.

Results: Of the 39 patients included in the study (n = 22 [first line]; n = 17 [second line]), 12 patients (30.7%) experienced treatment-emergent adverse events, with the most frequent being increased levels of transaminases (7.6%), increased level of blood creatine phosphokinase (5%) and hypokalaemia (5%). Most adverse events (85.7%) were mild to moderate. Effectiveness outcomes at 24 weeks in patients treated with brigatinib first line or second line, respectively, were as follows: overall objective response rate: 81.8% and 70.5%; intracranial objective response rate (in patients with brain metastases at baseline): 66.6% and 88.8%; progression-free survival: 93.8% and 82.4%; overall survival: 100% and 87.5%.

Conclusions: Brigatinib was demonstrated to be a safe and effective treatment option for ALK-positive metastatic non-small cell lung cancer in routine clinical practice in Argentina.

Clinical trial registration: NCT04887519.

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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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