转移性肾细胞癌一线VEGFR-TKI单药治疗的临床耐药预测因素:回顾性多中心真实病例系列

IF 1.4 Q4 ONCOLOGY
Pezzicoli Gaetano, Quaglini Silvana, Tibollo Valentina, Bersanelli Melissa, Porta Camillo, Rizzo Mimma
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引用次数: 0

摘要

目的:多年来,转移性肾细胞癌(mRCC)的全身治疗是基于序贯靶向单药治疗。在这个现实生活中的病例系列中,我们评估了易于获得的用于病程预测的临床因素。方法:我们对365名在靶向治疗时代接受序贯单药治疗的mRCC患者的临床病理特征和全身治疗结果进行了分析,并确定了一个早期进展亚群,该亚群在不到6个月的时间内对一线VEGFR-TKI单药治疗产生了耐药性。结果:早期进展者(n = 124)与治疗超过6个月的患者相比,OS差得多(13.5个月vs 44.8个月,p值<0.0001, hr = 0.41, 95%ci: 0.29-0.53)。然而,与一线应答者相比,这些患者在二线和三线环境中的表现并没有差得多。在单因素分析中,IMDC风险等级、肉瘤样特征和全身性炎症指数(SII)与一线治疗的无进展生存期(PFS1)相关。在多变量分析中,与一线预后相关的变量是IMDC风险等级、组织型和诊断时转移部位的数量。结论:真实世界的数据有助于开发与难治性疾病相关的易于使用的预后因素,可以支持临床医生为每位患者确定最合适的治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical resistance predictors to first-line VEGFR-TKI monotherapy for metastatic renal cell carcinoma: a retrospective multicenter real-life case series
Aim: For many years, systemic treatment of metastatic Renal Cell Carcinoma (mRCC) was based on sequential targeted agent monotherapies. In this real-life case series, we evaluated easily accessible clinical factors useful for disease course prediction. Methods: We exploited patients' clinical pathological characteristics and systemic treatment outcomes in a real-world population of 365 mRCC patients who received sequential monotherapies in the targeted therapy era, and we identified an early progressors subpopulation, resistant to first-line VEGFR-TKI monotherapy in less than 6 months. Results: Early progressors (n = 124) show a far worse OS compared with patients progressing beyond the sixthmonth of therapy (13.5 vs. 44.8 months, P-value < 0.0001, HR = 0.41, 95%CI: 0.29-0.53). However, these patients did not show far worse performance in second and third-line settings compared to first-line responders. In the univariate analysis, IMDC risk class, sarcomatoid features, and Systemic Inflammation Index (SII) were correlated with first-line therapy Progression-Free Survival (PFS1). In multivariate analysis, variables correlated with first-line outcome were IMDC risk class, histotype, and number of metastatic sites at the diagnosis. Conclusion: Real-world data can contribute to developing easy-to-use prognostic factors associated with refractory disease that could support clinicians in identifying the most appropriate treatment strategy for each patient.
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CiteScore
3.20
自引率
5.30%
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460
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