根据可切除非小细胞肺癌病理反应对新辅助治疗和围手术期化疗免疫疗法进行重构的患者个体数据荟萃分析

Antonio Nuccio, Fabio Salomone, Alberto Servetto, Biagio Ricciuti, Daniele Marinelli, Alessandra Bulotta, Giulia Veronesi, Marina Chiara Garassino, Valter Torri, Benjamin Besse, Giuseppe Viscardi, Roberto Ferrara
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引用次数: 0

摘要

新辅助化疗-免疫治疗改变了早期非小细胞肺癌(NSCLC)的治疗。然而,在化疗-免疫治疗围手术期策略中,不同病理反应的预后价值和辅助免疫治疗的影响尚不清楚。在早期NSCLC新辅助/围手术期化疗免疫治疗试验中,我们通过病理反应(pCR, MPR, no-MPR)报告的无事件生存(EFS)曲线的图形重建来估计事件发生时间。MPR 1-10%亚组,以前未报道,通过从MPR组中移除达到pCR的患者来检索。通过病理反应和亚组内新辅助/围手术期策略的比较进行生存分析。根据病理反应,发现有统计学意义的EFS差异,显示预后梯度从pCR(良好),MPR 1-10%(中等)和无MPR(差)转移。亚组内新辅助/围手术期策略没有差异,但在MPR 1-10%和无MPR患者中,围手术期和新辅助化疗免疫治疗的EFS获益趋势分别被观察到。总之,基于病理反应的算法可以更好地定制早期NSCLC治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neoadjuvant versus perioperative chemo-immunotherapy according to pathological response in resectable NSCLC: a reconstructed individual patient data meta-analysis
Neoadjuvant chemo-immunotherapy transformed early-stage non-small cell lung cancer (NSCLC) treatment. However, the prognostic value of different pathological responses and the impact of adjuvant immunotherapy within a chemo-immunotherapy perioperative strategy remains unclear. We estimated time-to-event outcomes by graphical reconstruction of event-free survival (EFS) curves by pathological response (pCR, MPR, no-MPR) reported in early-stage NSCLC neoadjuvant/perioperative chemo-immunotherapy trials. MPR 1-10% subgroup, previously unreported, was retrieved by removing patients achieving pCR from the MPR group. Survival analysis by pathological response and comparison between neoadjuvant/perioperative strategies within subgroups were assessed. A statistically significant EFS difference according to pathological response was found, showing a prognostic gradient shifting from pCR (good), MPR 1-10% (intermediate) and no-MPR (poor). There was no difference between neoadjuvant/perioperative strategies within subgroups, however a trend for EFS benefit with perioperative and neoadjuvant chemo-immunotherapy was observed in MPR 1-10% and no-MPR patients, respectively. In conclusio, a pathological response-based algorithm could better tailor early-stage NSCLC treatment.
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