外周血炎症指标预测中晚期非小细胞肺癌免疫联合化疗疗效

承德医学院学报 ›› 2026, Vol. 43 ›› Issue (4): 282-287.

外周血炎症指标预测中晚期非小细胞肺癌免疫联合化疗疗效

刘宇飞¹, 刘鹏飞², 周风举^3,*

1.承德医学院研究生学院,河北承德 067000;
2.唐山市工人医院消化科,河北唐山 063000;
3.衡水市人民医院肿瘤内科,河北衡水 053000

收稿日期:2026-04-25 出版日期:2026-08-25 发布日期:2026-08-31
通讯作者: *周风举（1969—）,男,硕士,主任医师,研究方向：肿瘤精准化个体化治疗;E-mail：19133785600@163.com。
作者简介:刘宇飞（1994—）,女,硕士研究生在读,研究方向：肿瘤精准化个体化治疗。

Predictive value of peripheral inflammatory markers for immunochemotherapy efficacy in advanced NSCLC

LIU Yufei¹, LIU Pengfei², ZHOU Fengju^3,*

1. Graduate School, Chengde Medical University, Chengde, Hebei, 067000, China;
2. Department of Gastroenterology, Tangshan Gongren Hospital, Tangshan, Hebei, 063000, China;
3. Department of Medical Oncology, Hengshui People's Hospital, Hengshui, Hebei, 053000, China

Received:2026-04-25 Online:2026-08-25 Published:2026-08-31

摘要/Abstract

摘要： 目的评估治疗前炎症指标中性粒细胞/淋巴细胞比值（NLR）、血小板/淋巴细胞比值（PLR）、全身免疫炎症指数（SII）对中晚期非小细胞肺癌（NSCLC）患者一线免疫联合化疗近期疗效的预测效能。方法本研究回顾性纳入2022年1月—2025年6月于衡水市人民医院接受一线免疫联合化疗的中晚期NSCLC患者65例。基于治疗前血常规结果计算NLR、PLR及SII。采用受试者工作特征（ROC）曲线分析各指标对客观缓解率（ORR）的预测价值,并确定最佳临界值进行分组比较。结果基线NLR、PLR及SII预测ORR的曲线下面积（AUC）分别为0.769、0.675和0.731。依据最佳临界值分组后,各低值组（低NLR组、低PLR组、低SII组）的客观缓解率均显著高于相应的高值组,差异均有统计学意义（P<0.05）。比较而言,基线NLR在该队列中显示出相对最优的预测效能。结论治疗前NLR、PLR及SII水平对中晚期NSCLC免疫联合化疗的近期疗效具有预测作用,其中NLR的判别能力最佳。这些指标临床获取便捷,可作为治疗前疗效预判的简易、经济辅助工具。

关键词: 非小细胞肺癌, 中性粒细胞/淋巴细胞比值, 血小板/淋巴细胞比值, 全身免疫炎症指数, 预测分析

Abstract: Objective To evaluate the predictive value of peripheral blood inflammatory indices—the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII)—for early treatment response in advanced non-small cell lung cancer (NSCLC) patients receiving first-line immune checkpoint inhibitor plus chemotherapy. Methods In this retrospective study, we analyzed 65 advanced NSCLC patients treated with first-line immunotherapy-chemotherapy combination at Hengshui People’s Hospital from January 2022 to June 2025. The NLR, PLR, and SII were calculated from pretreatment complete blood counts. Receiver operating characteristic (ROC) curve analysis was used to assess their ability to predict objective response rate (ORR), and optimal cut-off values were determined to stratify patients into high- and low-level groups for each index. Results The areas under the ROC curve (AUC) for predicting ORR were 0.769 for NLR, 0.675 for PLR, and 0.731 for SII. When grouped by these optimal cut-offs, the low-NLR, low-PLR, and low-SII groups all achieved a significantly higher ORR compared to their corresponding high-level groups (all P<0.05). Among the three indices, baseline NLR demonstrated the strongest predictive performance. Conclusion Pretreatment levels of NLR, PLR, and SII are predictive of short-term response to immunotherapy-chemotherapy in advanced NSCLC, with NLR showing the best discriminative capacity. These inexpensive, routine blood-based markers could serve as practical adjunct tools for pretreatment outcome assessment.

Key words: non-small cell lung cancer, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index, predictive analysis

中图分类号:

R734

刘宇飞, 刘鹏飞, 周风举. 外周血炎症指标预测中晚期非小细胞肺癌免疫联合化疗疗效[J]. 承德医学院学报, 2026, 43(4): 282-287.

LIU Yufei, LIU Pengfei, ZHOU Fengju. Predictive value of peripheral inflammatory markers for immunochemotherapy efficacy in advanced NSCLC[J]. Journal of Chengde Medical University, 2026, 43(4): 282-287.

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链接本文: https://tougao.cdmc.edu.cn/CN/

https://tougao.cdmc.edu.cn/CN/Y2026/V43/I4/282

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