Prognostic significance of pre-treatment immune-inflammation biomarkers in anal cancer: A study combining real-world data and a meta-analysis.

IF 5.7 2区 医学 Q1 ONCOLOGY
Karen Lycke Wind, Johanne Hollands Steffensen, Anne Vittrup Jakobsen, Camilla Kronborg, Karen-Lise Garm Spindler
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引用次数: 0

Abstract

This study examines the prognostic value of pre-treatment inflammatory biomarkers-neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic inflammatory index (SII) in patients with anal cancer (AC). Blood sample analyses from 340 AC patients treated with curative (chemo)radiotherapy were retrieved from patient records to determine pre-treatment NLR, PLR, and SII values. Using receiver operating characteristic curve (RUC) analysis, the Liu method, optimal cut-offs were calculated to 2.96 for NLR, 145.31 for PLR, and 679.86 for SII. Values above the cut-off were significantly associated with worse disease-free survival (DFS) and overall survival (OS). For DFS, the hazard ratios (HRs) were 2.08 for NLR, 1.85 for PLR, and 2.13 for SII, while for OS, the HRs were 1.73 for NLR, 1.14 for PLR, and 1.76 for SII. In multivariate analyses, NLR, PLR, and SII each remained independently significant predictors of DFS. A comprehensive literature review and meta-analysis further substantiated the association between high pre-treatment NLR and OS in AC, although the findings were marked by considerable heterogeneity. These results suggest that NLR, PLR, and SII are valuable and easily measurable prognostic markers in AC. Integrating these biomarkers into clinical practice could enable more personalized treatment strategies by identifying patients at elevated risk of poorer outcomes. Future research should focus on validating these findings across diverse populations and developing standardized methodologies to optimize the clinical utility of these biomarkers.

肛门癌治疗前免疫炎症生物标志物的预后意义:一项结合现实世界数据和荟萃分析的研究。
本研究探讨了肛门癌(AC)患者治疗前炎症生物标志物--中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和全身炎症指数(SII)的预后价值。我们从患者病历中提取了 340 名接受根治性(化疗)放疗的肛门癌患者的血样分析,以确定治疗前的 NLR、PLR 和 SII 值。通过刘氏方法(Liu method)的接收器操作特征曲线(RUC)分析,计算出 NLR 的最佳临界值为 2.96,PLR 为 145.31,SII 为 679.86。高于临界值与较差的无病生存期(DFS)和总生存期(OS)明显相关。对于 DFS,NLR 的危险比(HRs)为 2.08,PLR 为 1.85,SII 为 2.13,而对于 OS,NLR 的危险比为 1.73,PLR 为 1.14,SII 为 1.76。在多变量分析中,NLR、PLR 和 SII 依然是 DFS 的独立重要预测指标。一项全面的文献综述和荟萃分析进一步证实了治疗前 NLR 偏高与 AC OS 之间的关系,尽管研究结果存在很大的异质性。这些结果表明,NLR、PLR 和 SII 是有价值且易于测量的 AC 预后标志物。将这些生物标志物纳入临床实践,可通过识别预后较差风险较高的患者,制定更加个性化的治疗策略。未来的研究应侧重于在不同人群中验证这些发现,并开发标准化方法来优化这些生物标志物的临床效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
13.40
自引率
3.10%
发文量
460
审稿时长
2 months
期刊介绍: The International Journal of Cancer (IJC) is the official journal of the Union for International Cancer Control—UICC; it appears twice a month. IJC invites submission of manuscripts under a broad scope of topics relevant to experimental and clinical cancer research and publishes original Research Articles and Short Reports under the following categories: -Cancer Epidemiology- Cancer Genetics and Epigenetics- Infectious Causes of Cancer- Innovative Tools and Methods- Molecular Cancer Biology- Tumor Immunology and Microenvironment- Tumor Markers and Signatures- Cancer Therapy and Prevention
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