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PD-L1 表达与其他变量与晚期胃食管交界癌免疫检查点抑制获益的关系:17 项 3 期随机临床试验的系统评价和荟萃分析。

Association of PD-L1 Expression and Other Variables With Benefit From Immune Checkpoint Inhibition in Advanced Gastroesophageal Cancer: Systematic Review and Meta-analysis of 17 Phase 3 Randomized Clinical Trials.

机构信息

Mayo Clinic, Rochester, Minnesota.

National Cancer Center East, Chiba, Japan.

出版信息

JAMA Oncol. 2022 Oct 1;8(10):1456-1465. doi: 10.1001/jamaoncol.2022.3707.

Abstract

IMPORTANCE

Approval by the US Food and Drug Administration of immune checkpoint inhibition (ICI) for advanced gastroesophageal cancer (aGEC) irrespective of PD-L1 status has generated controversy. Exploratory analyses from individual trials indicate a lack of meaningful benefit from ICI in patients with absent or low PD-L1 expression; however, analysis of a single variable while ignoring others may not consider the instability inherent in exploratory analyses.

OBJECTIVE

To systematically examine the predictive value of tissue-based PD-L1 status compared with that of other variables for ICI benefit in aGEC to assess its stability.

DATA SOURCES

MEDLINE, Embase, Scopus, Web of Science, Cochrane Central Register (2000-2022).

STUDY SELECTION, DATA EXTRACTION, AND SYNTHESIS: Randomized clinical trials (RCTs) were included of adults with aGEC (adenocarcinoma [AC] or squamous cell carcinoma [SCC]) randomized to anti-PD-1 or PD-L1-containing treatment vs standard of care (SOC). Study screening, data abstraction, and bias assessment were completed independently by 2 reviewers. Of 5752 records screened, 26 were assessed for eligibility; 17 trials were included in the analysis.

MAIN OUTCOMES AND MEASURES

The prespecified primary end point was overall survival. The mean hazard ratio (HR) for ICI vs SOC was calculated (random-effects model). Predictive values were quantified by calculating the ratio of mean HRs between 2 levels of each variable.

RESULTS

In all, 17 RCTs (9 first line, 8 after first line) at low risk of bias and 14 predictive variables were included, totaling 11 166 participants (5067 with SCC, 6099 with ACC; 77.6% were male and 22.4% were female; 59.5% of patients were younger than 65 years, 40.5% were 65 years or older). Among patients with SCCs, PD-L1 tumor proportion score (TPS) was the strongest predictor of ICI benefit (HR, 0.60 [95% CI, 0.53-0.68] for high TPS; and HR, 0.84 [95% CI, 0.75-0.95] for low TPS), yielding a predictive value of 41.0% favoring high TPS (vs ≤16.0% for other variables). Among patients with AC, PD-L1 combined positive score (CPS) was the strongest predictor (after microsatellite instability high status) of ICI benefit (HR, 0.73 [95% CI, 0.66-0.81] for high CPS; and HR, 0.95 [95% CI, 0.84-1.07] for low CPS), yielding a predictive value of 29.4% favoring CPS-high (vs ≤12.9% for other variables). Head-to-head analyses of trials containing both levels of a variable and/or having similar design generally yielded consistent results.

CONCLUSIONS AND RELEVANCE

Tissue-based PD-L1 expression, more than any variable other than microsatellite instability-high, identified varying degrees of benefit from ICI-containing therapy vs SOC among patients with aGEC in 17 RCTs.

摘要

重要性

美国食品和药物管理局(FDA)批准免疫检查点抑制(ICI)用于治疗晚期胃食管癌症(aGEC),无论 PD-L1 状态如何,这引发了争议。来自个别试验的探索性分析表明,在 PD-L1 表达缺失或低表达的患者中,ICI 没有明显获益;然而,在忽略其他因素的情况下分析单一变量,可能无法考虑探索性分析中固有的不稳定性。

目的

系统评估组织 PD-L1 状态与其他变量相比,预测 ICI 在 aGEC 中的获益的价值,以评估其稳定性。

数据来源

MEDLINE、Embase、Scopus、Web of Science、Cochrane 中央注册(2000-2022 年)。

研究选择、数据提取和综合:纳入了随机临床试验(RCT),这些 RCT 纳入了接受抗 PD-1 或 PD-L1 治疗的 aGEC(腺癌 [AC] 或鳞状细胞癌 [SCC])成年患者与标准治疗(SOC)相比的随机分组。由 2 名独立审查员完成研究筛选、数据提取和偏倚评估。在筛选的 5752 份记录中,有 26 份被评估为符合条件;17 项试验被纳入分析。

主要结局和测量

预先指定的主要终点是总生存期。ICI 与 SOC 相比的平均风险比(HR)是通过计算(随机效应模型)得出的。通过计算每个变量两个水平之间的平均 HR 比值来量化预测值。

结果

共有 17 项低偏倚风险的 RCT(9 项一线治疗,8 项二线治疗)和 14 个预测变量被纳入分析,共纳入 11666 名参与者(5067 名患有 SCC,6099 名患有 ACC;77.6%为男性,22.4%为女性;59.5%的患者年龄小于 65 岁,40.5%的患者年龄为 65 岁或以上)。在 SCC 患者中,PD-L1 肿瘤比例评分(TPS)是 ICI 获益的最强预测因素(高 TPS 的 HR 为 0.60[95%CI,0.53-0.68];低 TPS 的 HR 为 0.84[95%CI,0.75-0.95]),预测值为 41.0%有利于高 TPS(其他变量的预测值为≤16.0%)。在 AC 患者中,PD-L1 联合阳性评分(CPS)是 ICI 获益的最强预测因素(在微卫星不稳定高状态后)(高 CPS 的 HR 为 0.73[95%CI,0.66-0.81];低 CPS 的 HR 为 0.95[95%CI,0.84-1.07]),预测值为 29.4%有利于 CPS 高(其他变量的预测值为≤12.9%)。包含变量的两个水平的头对头分析和/或具有类似设计的头对头分析通常产生一致的结果。

结论和相关性

在 17 项 RCT 中,与微卫星不稳定高以外的任何其他变量相比,组织 PD-L1 表达更能识别出接受 ICI 联合 SOC 治疗的 aGEC 患者的获益程度不同。

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