Center for Thoracic Oncology at Tisch Cancer Center, Mount Sinai Health System & Icahn School of Medicine at Mount Sinai, New York.
Eli Lilly and Company, Indianapolis, USA.
ESMO Open. 2022 Aug;7(4):100551. doi: 10.1016/j.esmoop.2022.100551. Epub 2022 Aug 2.
Data for selpercatinib [a selective REarranged during Transfection (RET) inhibitor] from a single-arm trial (LIBRETTO-001, NCT03157128) in RET-fusion-positive advanced/metastatic non-small-cell lung cancer (NSCLC) were used in combination with external data sources to estimate comparative efficacy [objective response rate (ORR), progression-free survival, and overall survival (OS)] in first- and second-line treatment settings.
Patient-level data were obtained from a de-identified real-world database. Patients diagnosed with advanced/metastatic NSCLC with no prior exposure to a RET inhibitor and one or more prior line of therapy were eligible. Additionally, individual patient-level data (IPD) were obtained from the pemetrexed + platinum arm of KEYNOTE-189 (NCT03950674, first line) and the docetaxel arm of REVEL (NCT01168973, post-progression). Patients were matched using entropy balancing, doubly robust method, and propensity score approaches. For patients with unknown/negative RET status, adjustment was made using a model fitted to IPD from a real-world database.
In first-line unadjusted analyses of the real-world control, ORR was 87.2% for LIBRETTO-001 versus 66.7% for those with RET-positive NSCLC (P = 0.06). After adjustment for unknown RET status and other patient characteristics, selpercatinib remained significantly superior versus the real-world control for all outcomes (all P < 0.001 except unadjusted RET-fusion-positive cohort). Similarly, outcomes were significantly improved versus clinical trial controls (all P < 0.05).
Findings suggest improvement in outcomes associated with selpercatinib treatment versus the multiple external control cohorts, but should be interpreted with caution. Data were limited by the rarity of RET, lack of mature OS data, and uncertainty from assumptions to create control arms from external data.
来自于单臂试验(LIBRETTO-001,NCT03157128)的数据被用于与外部数据源相结合,以评估在 RET 融合阳性的晚期/转移性非小细胞肺癌(NSCLC)的一线和二线治疗中选择性 RET 抑制剂塞尔帕替尼的比较疗效(客观缓解率[ORR]、无进展生存期和总生存期[OS])。
从一个去识别的真实世界数据库中获得患者水平的数据。符合条件的患者为诊断为晚期/转移性 NSCLC 且无 RET 抑制剂既往暴露史,且接受过一线或多线治疗。此外,从 KEYNOTE-189(NCT03950674,一线)培美曲塞+铂类的 pemetrexed 组和 REVEL(NCT01168973,后进展)的多西他赛组获得了个体患者水平的数据(IPD)。采用熵平衡、双重稳健方法和倾向评分方法进行匹配。对于 RET 状态未知/阴性的患者,使用从真实世界数据库中拟合的模型进行调整。
在真实世界对照的一线未调整分析中,LIBRETTO-001 的 ORR 为 87.2%,而 RET 阳性 NSCLC 的 ORR 为 66.7%(P=0.06)。在调整未知 RET 状态和其他患者特征后,与真实世界对照相比,selpercatinib 在所有结局上均显著优于对照组(除未调整的 RET 融合阳性队列外,所有 P<0.001)。同样,与临床试验对照相比,结果也显著改善(所有 P<0.05)。
结果表明,与多个外部对照队列相比,selpercatinib 治疗的结局得到了改善,但应谨慎解读。数据受到 RET 罕见性、OS 数据不成熟以及从外部数据创建对照臂的假设不确定性的限制。