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中性粒细胞与淋巴细胞比值作为实体癌生存预后工具的性能。

Performance of the neutrophil-to-lymphocyte ratio as a prognostic tool for survival in solid cancers.

作者信息

Carrión-Barberà Irene, Lood Christian

机构信息

Division of Rheumatology, University of Washington, Seattle, WA, United States.

出版信息

Front Oncol. 2025 Jul 21;15:1616477. doi: 10.3389/fonc.2025.1616477. eCollection 2025.

DOI:10.3389/fonc.2025.1616477
PMID:40761253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12318771/
Abstract

Neutrophils and lymphocytes are crucial players in cancer progression, with the neutrophil-to-lymphocyte ratio (NLR) emerging as a potential prognostic biomarker. However, its clinical relevance remains uncertain. This study retrospectively analyzed individual patient data from five Phase III clinical trials encompassing multiple cancer types to assess the prognostic value of baseline neutrophil (N1), lymphocyte (L1), and NLR (NLR1) counts for overall survival (OS) and progression-free survival (PFS). Survival outcomes were evaluated using Kaplan-Meier analyses, Cox proportional hazards models, and receiver operating characteristic curves, with subgroup analyses conducted across demographic and clinical subpopulations. High NLR1 and N1 and low L1 were associated with worse OS and PFS. In Cox uni- and multivariate analyses, NLR1 was an independent predictor of OS (HR: 1.508 (95% CI: 1.390 - 1.636, p<0.001)), while N1 and L1 were only significant when analyzed categorically (N1 HR: 1.390, L1 HR: 0.801; all p < 0.001). Similar patterns were observed for PFS (NLR1 HR: 1.261, N1 HR: 1.154, L1 HR: 0.848; all p < 0.001). Biomarkers showed higher HR in < 60 years, Non-White, Stage IV, and Eastern Cooperative Oncology Group Performance Status = 1 patients. Kaplan-Meier analysis confirmed worse survival for most patients with highest NLR1 or N1 and low L1 and low L. These findings confirm the prognostic role of blood cell components in cancer risk assessment and underscore the importance of personalized biomarker-based stratification, warranting further prospective studies to establish standardized clinical use.

摘要

中性粒细胞和淋巴细胞是癌症进展中的关键因素,中性粒细胞与淋巴细胞比值(NLR)已成为一种潜在的预后生物标志物。然而,其临床相关性仍不确定。本研究回顾性分析了来自五项涵盖多种癌症类型的III期临床试验的个体患者数据,以评估基线中性粒细胞(N1)、淋巴细胞(L1)和NLR(NLR1)计数对总生存期(OS)和无进展生存期(PFS)的预后价值。使用Kaplan-Meier分析、Cox比例风险模型和受试者工作特征曲线评估生存结果,并在人口统计学和临床亚组中进行亚组分析。高NLR1和N1以及低L1与较差的OS和PFS相关。在Cox单因素和多因素分析中,NLR1是OS的独立预测因子(HR:1.508(95%CI:1.390 - 1.636,p<0.001)),而N1和L1仅在分类分析时具有显著性(N1 HR:1.390,L1 HR:0.801;所有p<0.001)。PFS也观察到类似模式(NLR1 HR:1.261,N1 HR:1.154,L1 HR:0.848;所有p<0.001)。生物标志物在年龄<60岁、非白人、IV期以及东部肿瘤协作组体能状态=1的患者中显示出更高的HR。Kaplan-Meier分析证实,大多数NLR1或N1最高且L1和L低的患者生存较差。这些发现证实了血细胞成分在癌症风险评估中的预后作用,并强调了基于个性化生物标志物分层的重要性,需要进一步的前瞻性研究来建立标准化的临床应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/05377b9261aa/fonc-15-1616477-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/c6f9ad7baa5a/fonc-15-1616477-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/873c8828f14d/fonc-15-1616477-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/05377b9261aa/fonc-15-1616477-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/c6f9ad7baa5a/fonc-15-1616477-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/20474b780a13/fonc-15-1616477-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/7975a7befe60/fonc-15-1616477-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/cce6e3caa97d/fonc-15-1616477-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/873c8828f14d/fonc-15-1616477-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c07/12318771/05377b9261aa/fonc-15-1616477-g006.jpg

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Front Immunol. 2024 Sep 23;15:1415804. doi: 10.3389/fimmu.2024.1415804. eCollection 2024.
2
Neutrophils in cancer carcinogenesis and metastasis.中性粒细胞在癌症发生和转移中的作用。
J Hematol Oncol. 2021 Oct 21;14(1):173. doi: 10.1186/s13045-021-01187-y.
3
Neutrophil-to-lymphocyte ratio, past, present and future perspectives.
中性粒细胞与淋巴细胞比值:过去、现在和未来的展望。
Bratisl Lek Listy. 2021;122(7):474-488. doi: 10.4149/BLL_2021_078.
4
Neutrophil-to-lymphocyte ratio and mortality in the United States general population.中性粒细胞与淋巴细胞比值与美国普通人群的死亡率。
Sci Rep. 2021 Jan 11;11(1):464. doi: 10.1038/s41598-020-79431-7.
5
Canakinumab as treatment for COVID-19-related pneumonia: A prospective case-control study.卡那奴单抗治疗 COVID-19 相关肺炎:一项前瞻性病例对照研究。
Int J Infect Dis. 2021 Mar;104:433-440. doi: 10.1016/j.ijid.2020.12.073. Epub 2020 Dec 29.
6
Neutrophil to lymphocyte ratio and cancer prognosis: an umbrella review of systematic reviews and meta-analyses of observational studies.中性粒细胞与淋巴细胞比值与癌症预后:观察性研究系统评价和荟萃分析的伞状评价。
BMC Med. 2020 Nov 20;18(1):360. doi: 10.1186/s12916-020-01817-1.
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