A Cohort Study on Dual Predictive Markers of Immune Combination Therapy for Advanced Non-Small Cell Lung Cancer.

IF 2.6 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Biomarker Insights Pub Date : 2025-02-14 eCollection Date: 2025-01-01 DOI:10.1177/11772719251319641
Maike Zheng, Mingming Hu, Yanxia Liu, Xiaomi Li, Guirong Wang, Tongmei Zhang, Yan Zhao
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Abstract

Background: Immune checkpoint inhibitors (ICIs) hold a great promise in treatment of non-small cell lung cancer (NSCLC), while only a portion of patients benefited from the treatment, and others could not achieve optimal therapeutic effects from initial immunotherapy, even for those patients with PD-L1 (Programed cell death ligand 1) tested positive. However, the clinical markers for the selection of patients who will benefit from ICIs combination treatment beforehand are largely unknown.

Objectives: The purpose of this study was to explore the non-invasive biomarkers that can predict the efficacy of immune combination therapy in advanced/metastatic NSCLC patients.

Design: This study employed a retrospective cohort design to analyze dual predictive biomarkers in advanced non-small cell lung cancer (NSCLC) patients with immune combination therapy.

Method: An analysis was conducted on baseline information of 144 patients with advanced/metastatic NSCLC who received ICIs treatment from the November of 2018 to the January of 2023 in Beijing Chest Hospital. We established a scoring group chart to make quantitative prediction for overall survival (OS) and progression-free survival (PFS) based on 4 variables, and set up the nomogram model as well as Decision curve analysis (DCA) to assess clinical benefits of ICIs combination in treatment of patients with advanced/metastatic NSCLC.

Results: We found that serum globulin (GLB) >26.6 (g/L) (HR = 1.865, P = .002), absolute neutrophil counts (ANC) (109/L) > 5 (HR = 2.146, P < .001), and bone metastasis (HR = 2.148, P < .001) were independent factors affecting the PFS of NSCLC patients. GLB > 26.6 (g/L) (HR = 1.741, P = .018), ANC (109/L) >5 (HR = 1.807, P = .008), bone metastasis (HR = 1.651, P = .002), and PD-L1 Negative (HR = 2.432, P = .032) were independent factors affecting the OS of NSCLC patients. Same variables and cut-off value have good predictive efficacy in both PFS and OS.

Conclusion: In patients with advanced/metastatic NSCLC receiving ICIs combination treatment, the GLB, ANC, bone metastasis, and PD-L1 may serve as useful predictive markers for the prognosis of NSCLC patients with ICIs combination treatment.

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晚期非小细胞肺癌免疫联合治疗双预测标志物的队列研究
背景:免疫检查点抑制剂(ICIs)在治疗非小细胞肺癌(NSCLC)方面具有很大的前景,但只有一部分患者从治疗中受益,而其他患者无法从初始免疫治疗中获得最佳治疗效果,即使是那些PD-L1(程序性细胞死亡配体1)检测阳性的患者。然而,选择哪些患者将受益于ICIs联合治疗的临床指标在很大程度上是未知的。目的:本研究的目的是探索可以预测晚期/转移性NSCLC患者免疫联合治疗疗效的非侵入性生物标志物。设计:本研究采用回顾性队列设计,分析免疫联合治疗的晚期非小细胞肺癌(NSCLC)患者的双重预测生物标志物。方法:对2018年11月至2023年1月北京胸科医院144例接受ICIs治疗的晚期/转移性NSCLC患者的基线信息进行分析。建立评分组图,基于4个变量对总生存期(OS)和无进展生存期(PFS)进行定量预测,建立nomogram模型和Decision curve analysis (DCA),评估ICIs联合治疗晚期/转移性NSCLC的临床获益。结果:我们发现血清球蛋白(GLB) >26.6 (g/L) (HR = 1.865, P = 0.002)、绝对中性粒细胞计数(ANC) (109/L) >5 (HR = 2.146, P = 26.6 (g/L) (HR = 1.741, P = 0.018)、ANC (109/L) >5 (HR = 1.807, P = 0.008)、骨转移(HR = 1.651, P = 0.002)、PD-L1阴性(HR = 2.432, P = 0.032)是影响NSCLC患者OS的独立因素。相同的变量和截止值对PFS和OS均有较好的预测效果。结论:在接受ICIs联合治疗的晚期/转移性NSCLC患者中,GLB、ANC、骨转移和PD-L1可作为ICIs联合治疗NSCLC患者预后的有用预测指标。
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来源期刊
Biomarker Insights
Biomarker Insights MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.00
自引率
0.00%
发文量
26
审稿时长
8 weeks
期刊介绍: An open access, peer reviewed electronic journal that covers all aspects of biomarker research and clinical applications.
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