首页> 外文期刊>The oncologist >Prognostic and Predictive Value of Microsatellite Instability, Inflammatory Reaction and PD-L1 in Gastric Cancer Patients Treated with Either Adjuvant 5-FU/LV or Sequential FOLFIRI Followed by Cisplatin and Docetaxel: A Translational Analysis from the ITACA-S Trial
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Prognostic and Predictive Value of Microsatellite Instability, Inflammatory Reaction and PD-L1 in Gastric Cancer Patients Treated with Either Adjuvant 5-FU/LV or Sequential FOLFIRI Followed by Cisplatin and Docetaxel: A Translational Analysis from the ITACA-S Trial

机译:胃癌患者胃癌患者微卫星不稳定性,炎症反应和PD-L1的预测和预测值,随后是顺铂和多西紫杉醇:ITACA-S试验的翻译分析

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Background Patients with high microsatellite instability (MSI) gastric cancer (GC) show improved survival and no benefit or harm from adjuvant and/or perioperative chemotherapy. The role of immune microenvironment in GC is largely unknown. Materials and Methods In the present study, 256 tumor tissue blocks were centrally collected from patients enrolled in ITACA-S, a randomized adjuvant trial of 5-FU/LV versus sequential FOLFIRI and cisplatin-docetaxel. MSI status was assessed by multiplex PCR, inflammatory reaction by H&E morphological assessment, and programmed death-ligand 1 (PD-L1) expression by immunohistochemistry. Results Overall, 9% patients had MSI-high tumors, 23% had high inflammatory reaction, 11% had tumor PD-L1 ≥?1%, and 11% had stromal PD-L1 ≥?1%. A significant association with disease-free survival (DFS) and overall survival (OS) was found for MSI-high (hazard ratio [HR], 0.43; p = .02; HR, 0.40; p = .02) and high inflammatory reaction (HR, 0.55; p = .010; HR, 0.53; p = .008) but not for PD-L1. At multivariable analysis, only MSI showed an independent association with both DFS ( p = .02) and OS ( p = .01), whereas inflammatory reaction showed an independent association only with OS ( p = .04). Patients with tumor PD-L1 ≥?1% had a significantly longer DFS in sequential chemotherapy than in than 5-FU/LV arm (interaction p = .04) and a trend for OS (interaction p = .12). Conclusion Our data suggest that MSI status could be a useful prognostic biomarker in patients with radically resected stage II–III GC and should be used as stratification factor in future trials. Tumor PD-L1 ≥?1% should be further investigated as a potential predictor of benefit from intensive chemotherapy. Implications for Practice In this post hoc analysis of patients with radically resected gastric cancer randomized to an intensive sequential chemotherapy regimen versus 5-FU/LV monotherapy as adjuvant treatment in the ITACA-S trial, MSI-high status was independently associated with better disease-free survival and overall survival (OS) and inflammatory reaction was independently associated with better OS. Moreover, tumor PD-L1 expression ≥1% was associated with greater benefit from intensive sequential chemotherapy compared with 5-fluorouracil plus leucovorin (5-FU/LV), whereas PD-L1 expression 1% was not, conditioning a statistically significant interaction between such biomarker and treatment arms. The meta-analysis of individual patients’ data from available studies could yield data on the role of MSI status that could inform clinical decisions.
机译:背景技术患者微卫星不稳定性(MSI)胃癌(GC)显示出改善的存活率,并且没有辅助和/或围手术期化疗的益处或危害。免疫微环境在GC中的作用在很大程度上是未知的。本研究中的材料和方法,从入口ITACA-S中注册的患者集中收集256个肿瘤组织嵌段,随机佐剂试验,5-FU / LV与顺铂和顺铂 - 多西紫杉醇。 MSI状态通过多重PCR,H&E形态评估,并通过免疫组化进行编程死亡 - 配体1(PD-L1)表达。结果总体而言,9%患者具有MSI高肿瘤,23%具有高炎症反应,11%具有肿瘤PD-L1≥≤1%,11%具有基质PD-L1≥≤1%。对MSI高(危害比[HR],0.43; P = .02; HR,0.40; P = .02)和高炎症反应,发现了与无疾病存活(DFS)和总存活(OS)的重大关联和总存活率(OS)的重大关联和总存活(OS)。和高炎症反应(HR,0.55; p = .010; HR,0.53; p = .008),但不是PD-L1。在多变量分析时,只有MSI与DFS(P = .02)和OS(P = .01)进行独立关联,而炎症反应仅与OS显示独立关联(P = .04)。肿瘤PD-L1≥≤1%的患者在连续化学疗法中具有明显较长的DFS,而不是5-FU / LV臂(相互作用P = .04)和OS的趋势(相互作用P = .12)。结论我们的数据表明,MSI状态可能是患有根本切除的阶段III-III-III GC患者的有用预后生物标志物,并应用作未来试验中的分层因子。肿瘤PD-L1≥≤1%,应进一步调查作为密集化疗的潜在预测因子。在这种情况下,对患者的患者对患者的影响,随机分类为肠道化疗方案,随着5-FU / LV单药治疗,在ITACA-S试验中辅助治疗,MSI高地位与更好的疾病独立相关 - 自由存活和总存活(OS)和炎症反应与更好的OS独立相关。此外,与5氟尿嘧啶加白光素(5-FU / LV)相比,肿瘤PD-L1表达≥1%与密集的顺序化疗的较大益处相关,而PD-L1表达均没有,则没有,调节统计学意义这种生物标志物和治疗臂之间的相互作用。来自可用研究的个体患者数据的META分析可以产生关于MSI状态的作用的数据,可以提供临床决策。

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