非小细胞肺癌免疫治疗持续临床获益与细胞因子相关性研究

    Research on the Correlation Between Durable Clinical Benefits of Immunotherapy for Non-Small Cell Lung Cancer and Cytokines

    • 摘要:
      目的  免疫治疗为部分非小细胞肺癌(non-small cell lung cancer, NSCLC)患者带来了持续临床获益,但如何精准筛选潜在免疫获益人群仍是临床亟需解答的问题。本研究旨在探索NSCLC免疫治疗持续临床获益患者的外周血细胞因子特征。
      方法 收集了2020年9月至2021年10月就诊于广东省人民医院确诊为Ⅲ~Ⅳ期NSCLC拟行免疫治疗患者的基线及治疗后外周血标本,检测34种细胞因子水平。将患者按照免疫治疗疗效分组为持续临床获益组(durable clinical benefit,DCB)和无持续获益组(non-durable benefit,NDB),分析两组细胞因子水平差异及其与生存预后的关系。
      结果 共收集了53例基线外周血样本以及13例配对的治疗后血液样本进行细胞因子检测分析。在免疫联合化疗组中,DCB组的基线CCL4水平显著高于NDB组(均值DCB:41.11 pg/mL vs. NDB:26.17 pg/mL,P = 0.023),利用CCL4构建ROC曲线AUC 0.74(95%可信区间 0.55~0.93,P = 0.024),约登指数确定CCL4临界值为24.04 pg/mL。基线高CCL4水平组无进展生存期(progression-free survival,PFS)对比基线低CCL4水平组显著延长(中位PFS:24.4个月vs. 5.9个月,P = 0.009),且总生存期(overall survival,OS)同样显著延长(中位OS:42.6个月vs. 13.1个月,P = 0.026),多因素Cox回归分析显示,基线CCL4水平是OS的独立预后因素(P = 0.040)。对比免疫治疗前后细胞因子的变化,IL1RA在NDB组中治疗后水平显著升高,其在DCB组和NDB组中治疗前后的水平差值有统计学差异(P = 0.017)。IL17A在NDB组中治疗后水平呈升高趋势,CCL11和CXCL12在DCB组中治疗后水平呈升高趋势。
      结论 基线高CCL4水平与免疫联合化疗较好的临床获益相关。治疗后IL1RA和IL17A水平升高可能预示免疫不良获益,而CCL11和CXCL12水平升高则可能与持续临床获益相关。基线细胞因子水平和其治疗后的动态变化,有助于筛选免疫治疗持续临床获益人群,优化分层治疗策略,是具有潜力的免疫疗效生物标志物。

       

      Abstract:
      Objective  Immunotherapy has brought durable clinical benefits to some patients with non-small cell lung cancer (NSCLC), but how to accurately screen potential beneficiaries of immunotherapy remains an urgent issue to be addressed in clinical practice. This study aimed to explore the characteristics of peripheral blood cytokines in NSCLC patients who achieved durable clinical benefits from immunotherapy.
      Methods  Baseline and post-treatment peripheral blood specimens of patients diagnosed with stage Ⅲ~Ⅳ NSCLC and scheduled for immunotherapy at Guangdong Provincial People's Hospital from September 2020 to October 2021 were collected, and the levels of 34 cytokines were detected. Patients were classified into the durable clinical benefit (DCB) group and the non-durable benefit (NDB) group based on the efficacy of immunotherapy, and the differences in cytokine levels between the two groups and their relationship with survival prognosis were analyzed.
      Results  A total of 53 baseline peripheral blood samples and 13 pairs of post-treatment blood samples were collected for cytokine detection and analysis. In the immunotherapy combined with chemotherapy group, the baseline CCL4 level in the DCB group was significantly higher than that in the NDB group (mean DCB: 41.11 pg/mL vs. NDB: 26.17 pg/mL, P = 0.023). The ROC curve constructed using CCL4 had an AUC of 0.74 (95% confidence interval 0.55~0.93, P = 0.024), and the Youden index determined the critical value of CCL4 to be 24.04 pg/mL. The progression-free survival (PFS) of the high baseline CCL4 level group was significantly longer than that of the low baseline CCL4 level group (median PFS: 24.4 months vs. 5.9 months, P = 0.009), and the overall survival time (OS) was also significantly prolonged (median OS: 42.6 months vs. 13.1 months, P = 0.026). Multivariate Cox regression analysis indicated that the baseline CCL4 level was an independent prognostic factor for OS (P = 0.040). By comparing the changes in cytokines before and after immunotherapy, the level of IL1RA in the NDB group significantly increased after treatment, and the difference in the levels of IL1RA before and after treatment between the DCB group and the NDB group was statistically significant (P = 0.017). The level of IL17A in the NDB group exhibited an upward trend after treatment, and the levels of CCL11 and CXCL12 in the DCB group showed an increasing tendency after treatment.
      Conclusion  A high baseline CCL4 level is associated with better clinical benefits from immunotherapy combined with chemotherapy. Elevated levels of IL1RA and IL17A after treatment may indicate a poor immune response, while elevated levels of CCL11 and CXCL12 may be related to sustained clinical benefits. Baseline cytokine levels and their dynamic changes after treatment can assist in screening patients who will benefit from sustained clinical benefits from immunotherapy, optimize stratified treatment strategies, and are potential biomarkers of immune efficacy.

       

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