炎症标志物预测晚期非小细胞肺癌免疫治疗的疗效:一项初步探索性研究。

IF 2.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Discover. Oncology Pub Date : 2025-01-04 DOI:10.1007/s12672-025-01753-7
Yingqing Zhang, Na Yan, Yan Feng, Yonglei Wu, Yuejiao Sun, Xixi Gao, Chao Gu, Xiaolong Ma, Feng Gao, Hui Zhang, Jiaqi Zhou
{"title":"炎症标志物预测晚期非小细胞肺癌免疫治疗的疗效:一项初步探索性研究。","authors":"Yingqing Zhang, Na Yan, Yan Feng, Yonglei Wu, Yuejiao Sun, Xixi Gao, Chao Gu, Xiaolong Ma, Feng Gao, Hui Zhang, Jiaqi Zhou","doi":"10.1007/s12672-025-01753-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The purpose of this study is to analyze the predictive value of neutrophil to lymphocyte ratio (NLR), lymphocyte count to monocyte count ratio (LMR), platelet to lymphocyte ratio (PLR), platelet count multiplied by neutrophil count to lymphocyte count ratio (SII), red blood cell distribution width (RDW), packed cell volume (PCV), and plateletcrit (PCT) levels in advanced non-small cell lung cancer (NSCLC) patients treated with PD-1/PD-L1 inhibitors.</p><p><strong>Materials and methods: </strong>From March 2019 to August 2023, we screened 104 of 153 patients with stage III unresectable local advanced NSCLC and IV NSCLC who received PD-1/PD-L1 inhibitor therapy at our hospital and met the inclusion and exclusion criteria for analysis. All patients were collected for clinical information, including baseline blood indicator (NLR, PLR, LMR, SII, CRP, RDW, PCV and PCT) levels before PD-1/PD-L1 inhibitor therapy and blood indicator levels and imaging evaluation results every two cycles after PD-1/PD-L1 inhibitor therapy. We analyzed the predicted impact of baseline blood indicators on PD-1/PD-L1 inhibitor treatment response, the discriminatory power of blood indicators on treatment response after efficacy evaluation, and the dynamic changes in blood indicators during PD-1/PD-L1 inhibitor treatment.</p><p><strong>Results: </strong>In our study data, baseline levels of NLR, PLR, LMR, SII, CRP, RDW, PCV, and PCT did not provide good predictive identification of PD-1/PD-L1 inhibitor primary resistance and effective treatment response populations. These indicators showed no significant distribution differences in Mann Whitney Wilcoxon analysis, univariate and multivariate logistic regression analysis between the primary resistance group and the effective treatment response group. We validated the NLR threshold of 5 from multiple previous studies in the data of this study, and patients with NLR > 5 also did not show a significant tendency towards the primary resistance group. The levels of NLR, PLR, LMR, SII, CRP, RDW, PCV, and PCT after efficacy evaluation also cannot effectively distinguish primary drug resistance and effective treatment response populations. However, in the longitudinal data analysis before and after PD-1/PD-L1 inhibitor treatment, we found that the NLR, SII, and CRP levels of patients who responded effectively were significantly reduced compared to baseline status. But this phenomenon was not observed in PD patients.</p><p><strong>Conclusions: </strong>PD-1/PD-L1 inhibitors treatment significantly altered the levels of NLR, SII, and CRP in patients with advanced NSCLC. Dynamic monitoring of NLR, SII, and CRP levels may have potential application value in monitoring the therapeutic efficacy of ICIs. In our study, the baseline status of blood indicator levels did not achieve good primary drug resistant patient identification. The potential value of blood indicators in predicting primary resistance to ICI should be further explored in larger research cohorts.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"8"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inflammatory markers predict efficacy of immunotherapy in advanced non-small cell lung cancer: a preliminary exploratory study.\",\"authors\":\"Yingqing Zhang, Na Yan, Yan Feng, Yonglei Wu, Yuejiao Sun, Xixi Gao, Chao Gu, Xiaolong Ma, Feng Gao, Hui Zhang, Jiaqi Zhou\",\"doi\":\"10.1007/s12672-025-01753-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The purpose of this study is to analyze the predictive value of neutrophil to lymphocyte ratio (NLR), lymphocyte count to monocyte count ratio (LMR), platelet to lymphocyte ratio (PLR), platelet count multiplied by neutrophil count to lymphocyte count ratio (SII), red blood cell distribution width (RDW), packed cell volume (PCV), and plateletcrit (PCT) levels in advanced non-small cell lung cancer (NSCLC) patients treated with PD-1/PD-L1 inhibitors.</p><p><strong>Materials and methods: </strong>From March 2019 to August 2023, we screened 104 of 153 patients with stage III unresectable local advanced NSCLC and IV NSCLC who received PD-1/PD-L1 inhibitor therapy at our hospital and met the inclusion and exclusion criteria for analysis. All patients were collected for clinical information, including baseline blood indicator (NLR, PLR, LMR, SII, CRP, RDW, PCV and PCT) levels before PD-1/PD-L1 inhibitor therapy and blood indicator levels and imaging evaluation results every two cycles after PD-1/PD-L1 inhibitor therapy. We analyzed the predicted impact of baseline blood indicators on PD-1/PD-L1 inhibitor treatment response, the discriminatory power of blood indicators on treatment response after efficacy evaluation, and the dynamic changes in blood indicators during PD-1/PD-L1 inhibitor treatment.</p><p><strong>Results: </strong>In our study data, baseline levels of NLR, PLR, LMR, SII, CRP, RDW, PCV, and PCT did not provide good predictive identification of PD-1/PD-L1 inhibitor primary resistance and effective treatment response populations. These indicators showed no significant distribution differences in Mann Whitney Wilcoxon analysis, univariate and multivariate logistic regression analysis between the primary resistance group and the effective treatment response group. We validated the NLR threshold of 5 from multiple previous studies in the data of this study, and patients with NLR > 5 also did not show a significant tendency towards the primary resistance group. The levels of NLR, PLR, LMR, SII, CRP, RDW, PCV, and PCT after efficacy evaluation also cannot effectively distinguish primary drug resistance and effective treatment response populations. However, in the longitudinal data analysis before and after PD-1/PD-L1 inhibitor treatment, we found that the NLR, SII, and CRP levels of patients who responded effectively were significantly reduced compared to baseline status. But this phenomenon was not observed in PD patients.</p><p><strong>Conclusions: </strong>PD-1/PD-L1 inhibitors treatment significantly altered the levels of NLR, SII, and CRP in patients with advanced NSCLC. Dynamic monitoring of NLR, SII, and CRP levels may have potential application value in monitoring the therapeutic efficacy of ICIs. In our study, the baseline status of blood indicator levels did not achieve good primary drug resistant patient identification. The potential value of blood indicators in predicting primary resistance to ICI should be further explored in larger research cohorts.</p>\",\"PeriodicalId\":11148,\"journal\":{\"name\":\"Discover. Oncology\",\"volume\":\"16 1\",\"pages\":\"8\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discover. Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12672-025-01753-7\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover. Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12672-025-01753-7","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

目的:分析中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞计数与单核细胞计数比值(LMR)、血小板与淋巴细胞比值(PLR)、血小板计数与中性粒细胞与淋巴细胞计数比值(SII)、红细胞分布宽度(RDW)、堆积细胞体积(PCV)和血小板计数(PCT)水平在PD-1/PD-L1抑制剂治疗的晚期非小细胞肺癌(NSCLC)患者中的预测价值。材料与方法:2019年3月至2023年8月,我们从我院接受PD-1/PD-L1抑制剂治疗的153例III期不可切除局部晚期NSCLC和IV期NSCLC患者中筛选出104例,符合纳入和排除标准进行分析。收集所有患者的临床资料,包括PD-1/PD-L1抑制剂治疗前的基线血液指标(NLR、PLR、LMR、SII、CRP、RDW、PCV和PCT)水平,以及PD-1/PD-L1抑制剂治疗后每两个周期的血液指标水平和影像学评价结果。我们分析了基线血液指标对PD-1/PD-L1抑制剂治疗反应的预测影响,疗效评估后血液指标对治疗反应的判别能力,以及PD-1/PD-L1抑制剂治疗期间血液指标的动态变化。结果:在我们的研究数据中,NLR、PLR、LMR、SII、CRP、RDW、PCV和PCT的基线水平并不能很好地预测PD-1/PD-L1抑制剂的原发性耐药和有效治疗反应人群。Mann Whitney Wilcoxon分析、单因素和多因素logistic回归分析显示,这些指标在原发性耐药组和有效治疗反应组之间均无显著分布差异。我们在本研究的数据中验证了多个既往研究的NLR阈值为5,NLR为bb0 5的患者也没有表现出向原发性耐药组的显著倾向。疗效评价后NLR、PLR、LMR、SII、CRP、RDW、PCV、PCT水平也不能有效区分原发性耐药人群和有效治疗反应人群。然而,在PD-1/PD-L1抑制剂治疗前后的纵向数据分析中,我们发现有效应答患者的NLR、SII和CRP水平与基线状态相比显著降低。但在PD患者中未观察到这种现象。结论:PD-1/PD-L1抑制剂治疗可显著改变晚期NSCLC患者NLR、SII和CRP水平。动态监测NLR、SII和CRP水平在监测ici治疗效果方面可能具有潜在的应用价值。在我们的研究中,血液指标水平的基线状态没有达到良好的初级耐药患者识别。血液指标在预测ICI原发性耐药方面的潜在价值应在更大的研究队列中进一步探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Inflammatory markers predict efficacy of immunotherapy in advanced non-small cell lung cancer: a preliminary exploratory study.

Objective: The purpose of this study is to analyze the predictive value of neutrophil to lymphocyte ratio (NLR), lymphocyte count to monocyte count ratio (LMR), platelet to lymphocyte ratio (PLR), platelet count multiplied by neutrophil count to lymphocyte count ratio (SII), red blood cell distribution width (RDW), packed cell volume (PCV), and plateletcrit (PCT) levels in advanced non-small cell lung cancer (NSCLC) patients treated with PD-1/PD-L1 inhibitors.

Materials and methods: From March 2019 to August 2023, we screened 104 of 153 patients with stage III unresectable local advanced NSCLC and IV NSCLC who received PD-1/PD-L1 inhibitor therapy at our hospital and met the inclusion and exclusion criteria for analysis. All patients were collected for clinical information, including baseline blood indicator (NLR, PLR, LMR, SII, CRP, RDW, PCV and PCT) levels before PD-1/PD-L1 inhibitor therapy and blood indicator levels and imaging evaluation results every two cycles after PD-1/PD-L1 inhibitor therapy. We analyzed the predicted impact of baseline blood indicators on PD-1/PD-L1 inhibitor treatment response, the discriminatory power of blood indicators on treatment response after efficacy evaluation, and the dynamic changes in blood indicators during PD-1/PD-L1 inhibitor treatment.

Results: In our study data, baseline levels of NLR, PLR, LMR, SII, CRP, RDW, PCV, and PCT did not provide good predictive identification of PD-1/PD-L1 inhibitor primary resistance and effective treatment response populations. These indicators showed no significant distribution differences in Mann Whitney Wilcoxon analysis, univariate and multivariate logistic regression analysis between the primary resistance group and the effective treatment response group. We validated the NLR threshold of 5 from multiple previous studies in the data of this study, and patients with NLR > 5 also did not show a significant tendency towards the primary resistance group. The levels of NLR, PLR, LMR, SII, CRP, RDW, PCV, and PCT after efficacy evaluation also cannot effectively distinguish primary drug resistance and effective treatment response populations. However, in the longitudinal data analysis before and after PD-1/PD-L1 inhibitor treatment, we found that the NLR, SII, and CRP levels of patients who responded effectively were significantly reduced compared to baseline status. But this phenomenon was not observed in PD patients.

Conclusions: PD-1/PD-L1 inhibitors treatment significantly altered the levels of NLR, SII, and CRP in patients with advanced NSCLC. Dynamic monitoring of NLR, SII, and CRP levels may have potential application value in monitoring the therapeutic efficacy of ICIs. In our study, the baseline status of blood indicator levels did not achieve good primary drug resistant patient identification. The potential value of blood indicators in predicting primary resistance to ICI should be further explored in larger research cohorts.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
期刊最新文献
Improving molecular subtypes and prognosis of pancreatic cancer through multi group analysis and machine learning. Correction: Identified VCAM1 as prognostic gene in gastric cancer by co-expression network analysis. Investigating causal relationship among inflammatory cytokines and oropharyngeal cancer: Mendelian randomization. To describe the subsets of malignant epithelial cells in gastric cancer, their developmental trajectories and drug resistance characteristics. AURKB affects the proliferation of clear cell renal cell carcinoma by regulating fatty acid metabolism.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1