杜瓦卢马布
医学
内科学
尿路上皮癌
肿瘤科
生物标志物
癌症
人口
总体生存率
泌尿科
队列
循环肿瘤DNA
临床研究阶段
危险系数
前列腺癌
人口研究
胃肠病学
代理终结点
前瞻性队列研究
存活率
比例危险模型
探索性分析
肾癌
作者
Francesca Jackson-Spence,James Larkin,P. Patel,Begoña P. Valderrama,Alejo Rodriguez-Vida,Hilary Glen,Fiona Thistlethwaite,Christy Ralph,Gopalakrishnan Srinivasan,Maria Jose Mendez-Vidal,Merrida Childress,Wenshu Li,Patrick M. Boyle,Amaya Gascó,Aleksandra Markovets,Ryan J. Hartmaier,Charlotte Christene Ackerman,Bernadett Szabados,Garima Priyadarshini,Fahmida Jamal
摘要
PURPOSE The CALYPSO study demonstrated activity of savolitinib and durvalumab in MET -driven papillary renal cancer (PRC). We report final efficacy outcomes and exploratory circulating tumor DNA (ctDNA) biomarker analysis. METHODS This single-arm phase II study evaluated savolitinib and durvalumab in treatment-naïve or pretreated PRC. End points included overall response rate (ORR), progression-free survival (PFS), and overall survival (OS). FoundationOne CDx assessed DNA alterations and MET /PD-L1 or MET /tumor mutational burden (TMB) copositivity. ctDNA collected at baseline and on treatment was correlated with outcomes. RESULTS At 41-months median follow-up, ORR was 34% (95% CI, 20.0 to 51.0) in the intention-to-treat (ITT) population (N = 41) and 53% (95% CI, 28.0 to 77.0) in MET -driven patients (n = 17). Median PFS was 6.5 (95% CI, 2.7 to 12.0) versus 13.9 months (95% CI, 2.9 to 23.8), and OS was 18.3 (95% CI, 7.3 to 30.7) versus 27.4 months (95% CI, 9.3 to 37.4), in the ITT population and the MET -driven population, respectively. PD-L1 (66% positive) and TMB (median 2.5 mut/Mb) status did not correlate with response. Baseline ctDNA positivity (10/21) correlated with shorter OS (median 7.3 v 33.3 months), while ctDNA clearance and mean variant allele frequency reduction correlated with improved OS (median 31.3 v 7.2 and 31.3 v 15.5 months, respectively). CONCLUSION Savolitinib plus durvalumab shows OS in MET -driven PRC, supporting the ongoing SAMETA RIII trial (ClinicalTrials.gov identifier: NCT05043090 ). ctDNA may be a useful predictive biomarker.
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