Lurbinectedin in small cell lung cancer: real-world experience of a multicentre national early access programme

INTERNAL MEDICINE JOURNAL(2024)

引用 0|浏览1
暂无评分
摘要
Background and AimsLurbinectedin is a novel oncogenic transcription inhibitor active in several cancers, including small cell lung cancer (SCLC). We aimed to describe the first Australian experience of the clinical efficacy and tolerability of lurbinectedin for the treatment of SCLC after progression on platinum-containing therapy.MethodsMulticentre real-world study of individuals with SCLC initiating lurbinectedin monotherapy (3.2 mg/m2 three-weekly) on an early access programme between May 2020 and December 2021. Key outcomes were clinical utilisation, efficacy and tolerability. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method. Outcome data were collected within the AUstralian Registry and biObank of thoRacic cAncers (AURORA).ResultsData were analysed for 46 individuals across seven sites. Lurbinectedin was given as second- (83%, 38/46) or subsequent- (17%, 8/46) line therapy, mostly with prior chemoimmunotherapy (87%, 40/46). We report dose modifications (17%, 8/46), interruptions/delays (24%, 11/46), high-grade toxicities (28%, 13/46) and hospitalisations (54%, 25/46) during active treatment. The overall response rate was 33% and the disease control rate was 50%. Six-month OS was 44% (95% confidence interval (CI): 29.0-57.1). Twelve-month OS was 15% (95% CI: 6.5-26.8). From lurbinectedin first dose, the median PFS was 2.5 months (95% CI: 1.8-2.9) and OS was 4.5 months (95% CI: 3.5-7.2). From SCLC diagnosis, the median OS was 12.9 months (95% CI: 11.0-17.2). Individuals with a longer chemotherapy-free interval prior to lurbinectedin had longer PFS and OS.ConclusionThis real-world national experience of lurbinectedin post-platinum chemotherapy and immunotherapy for individuals with SCLC was similar to that reported in clinical trials.
更多
查看译文
关键词
small cell lung cancer,lurbinectedin,real-world data,real-world evidence,survival outcomes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要