中性粒细胞-淋巴细胞比值变化、预后营养指数及炎症-营养评分对PD-1抑制剂治疗晚期非小细胞肺癌预后的评估价值研究

Prognostic value of changes in neutrophil-to-lymphocyte, prognostic nutritional index, and inflammation-nutrition score in advanced NSCLC patients treated with PD-1 inhibitors

  • 摘要:
    背景 在晚期非小细胞肺癌(non-small cell lung cancer,NSCLC)免疫治疗中,PD-1/PD-L1(programmed cell death protein 1/programmed death-ligand 1)抑制剂疗效差异明显,尚无有效方法预测疗效。
    目的 分析接受PD-1抑制剂治疗的晚期非小细胞肺癌患者中性粒细胞与淋巴细胞比值(neutrophil-to-lymphocyte ratio,NLR)变化率(ΔNLR)、预后营养指数(prognostic nutritional index,PNI)及炎症-营养联合评分(inflammation-nutrition score,INS)与预后的关系。
    方法 回顾性分析2020年1月至2024年12月在山东第二医科大学附属医院接受抗PD-L1单抗单药或联合治疗的晚期NSCLC患者的临床资料。治疗前及完成2个治疗周期后检测外周血指标,计算ΔNLR和PNI,并据此分组:ΔNLR≥20%为升高组,<20%为稳定组;PNI≥45为营养良好组,<45为营养不良组;INS为联合评分,ΔNLR≥20%记1分,PNI<45记1分,2分为高风险,1分为中风险、0分为低风险。采用Kaplan-Meier法比较各组无进展生存期(progression-free survival,PFS)和总生存期(overall survival,OS),Cox回归分析预后独立关联因素,并据此构建预后预测模型,以受试者工作特征(receiver operating characteristic,ROC)曲线法分析其预测效能。
    结果 163例晚期NSCLC患者纳入分析,男100例(61.35%),女63例(38.65%);中位年龄61(范围:54 ~ 68)岁,中位OS16.4(IQR:11.8 ~ 22.0)个月,中位PFS为7.8(IQR:5.0 ~ 14.0)个月。NLR升高组较稳定组中位PFS显著缩短6.5(IQR:4.1 ~ 11.5)个月vs 8.6(IQR:6.2 ~ 15.9)个月,P=0.041;PNI<45组PFS较PNI≥45组更短6.9(IQR:4.3 ~ 12.9)个月vs 8.9(IQR:6.2 ~ 17.5)个月,P=0.048;INS高风险组PFS亦较中低风险组下降6.0(IQR:4.2 ~ 9.2)个月vs 8.4(IQR:6.1 ~ 13.7)个月,P=0.047。多因素Cox回归分析显示ΔNLR升高组和PNI<45组以及及INS高风险均与较短的PFS独立关联,而PD-L1表达≥50%者PFS相对更优(P<0.05)。ROC分析显示,分别基于ΔNLR+PNI+PD-L1和INS+PD-L1构建的模型,对晚期NSCLC患者PFS具有较高的预测效能,AUC(95%CI)分别为0.852(0.753 ~ 0.937)和0.843(0.698 ~ 0.978)。
    结论 治疗早期ΔNLR升高及PNI降低与NSCLC患者接受PD-L1抑制剂治疗的较差预后显著相关,INS可作为综合炎症与营养状态的分层指标,为免疫治疗疗效及预后的评估提供参考。

     

    Abstract:
    Background In advanced non-small cell lung cancer, the efficacy of PD-1/PD-L1 (programmed cell death protein 1/programmed death-ligand 1) inhibitors varies considerably, and early prognostic predictors remain unclear.
    Objective To evaluate the prognostic significance of early changes in the neutrophil-to-lymphocyte ratio (ΔNLR), prognostic nutritional index (PNI), and their combination as the inflammation-nutrition score (INS) in advanced non-small cell lung cancer (NSCLC) patients receiving PD-1 inhibitor therapy.
    Methods A retrospective analysis was conducted on patients with advanced NSCLC who received anti-PD-L1 monoclonal antibody monotherapy or combination therapy at Shandong Second Medical University Affiliated Hospital from January 2020 to December 2024. Peripheral blood indexes were measured before treatment and after completing two treatment cycles. ΔNLR and PNI were calculated and used to group the patients: ΔNLR ≥ 20% as the elevated group, < 20% as the stable group; PNI ≥ 45 as the well-nourished group, < 45 as the malnourished group; INS was defined as a combined indicator: ΔNLR ≥20% scored 1 point, PNI < 45 scored 1 point. Patients were stratified into high-risk (2 points), intermediate-risk (1 point), and low-risk (0 points) groups. Kaplan-Meier method was used to compare progression-free survival (PFS) and overall survival (OS) among the groups, and Cox regression was applied to identify independent prognostic factors. A prognostic prediction model was then constructed, and the prediction performance was evaluated using receiver operating characteristic (ROC) curve analysis.
    Results A total of 163 patients with NSCLC were included in this study, comprising 100 males (61.35%) and 63 females (38.65%). The median age was 61 (range: 54-68) years. Median OS was 16.4 (IQR: 11.8-22.0) months, and median PFS was 7.8 (IQR: 5.0-14.0) months.Compared with the stable group, the elevated NLR group had significantly shorter median PFS (6.5 IQR: 4.1-11.5 months vs 8.6 IQR: 6.2-15.9 months, P=0.041). The group with PNI < 45 had shorter PFS than the PNI ≥45 group (6.9 IQR: 4.3-12.9 months vs 8.9 IQR: 6.2-17.5 months, P=0.048). Similarly, the INS high‑risk group showed reduced PFS compared with the intermediate and low‑risk group (6.0 IQR: 4.2-9.2 months vs 8.4 IQR: 6.1-13.7 months, P=0.047). Multivariate Cox regression analysis revealed that ΔNLR ≥ 20%, PNI < 45, and INS high‑risk status were associated with shorter PFS, whereas PD‑L1 expression ≥50% was associated with relatively better PFS (P < 0.05). ROC curve analysis showed that models based on ΔNLR+PNI+PD‑L1 and INS+PD‑L1 both exhibited good predictive performance for PFS in patients with advanced NSCLC, with areas under the curve (AUC, 95% CI) of 0.852 (0.753-0.937) and 0.843 (0.698-0.978), respectively.
    Conclusion Early‑treatment increases in ΔNLR and decreases in PNI are significantly associated with poorer prognosis in NSCLC patients receiving PD‑L1 inhibitor therapy. INS may serve as a composite indicator reflecting inflammatory and nutritional status, providing reference for evaluating immunotherapy efficacy and prognosis.

     

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