Systemic inflammatory burden at diagnosis predicts survival in Hodgkin lymphoma: a comprehensive evaluation of the Complete Blood Count Score Model.

IF 2.2 4区医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biomarkers Pub Date : 2026-06-01 Epub Date: 2026-05-24 DOI:10.1080/1354750X.2026.2674784

Salih Sertaç Durusoy, Deniz Mıhçıoğlu, Sema Köse, Pınar Günel Erturhan, Mehmet Yılmaz

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引用次数: 0

Abstract

Background: Although systemic inflammation is a well-established prognostic factor in malignancies, composite inflammation-based models remain underexplored in Hodgkin lymphoma (HL). We investigated the prognostic significance of complete blood count (CBC)-derived inflammatory indices and a novel Complete Blood Count Score Model (CBCSM) in patients with HL.

Methods: This study included 80 patients diagnosed with HL. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) were calculated at diagnosis. Optimal cut-off values for progression-free survival (PFS) and overall survival (OS) were determined using receiver operating characteristic analysis. Survival outcomes were assessed using Kaplan-Meier analysis.

Results: Higher NLR, PLR, SII, and SIRI values were significantly associated with shorter PFS and OS (p < 0.01). While clinicopathological factors age, disease stage, and B symptoms predominantly influenced overall survival, CBC-derived inflammatory indices were also associated with both PFS and OS in survival analyses. The composite CBCSM enabled additional risk stratification, with progressively worse outcomes observed across increasing risk categories.

Conclusion: Baseline CBC-derived inflammatory indices and the composite CBCSM may provide clinically meaningful prognostic information in HL. Their simplicity, cost-effectiveness, and routine availability make them potentially useful adjuncts to traditional prognostic factors for risk stratification and individualized patient management.

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诊断时的全身性炎症负担预测霍奇金淋巴瘤的生存：全血细胞计数评分模型的综合评估。

背景：尽管全身性炎症是恶性肿瘤中一个公认的预后因素，但基于炎症的复合模型在霍奇金淋巴瘤（HL）中的应用仍不充分。我们研究了全血细胞计数（CBC）衍生的炎症指数和一种新的全血细胞计数评分模型（CBCSM）在h患者中的预后意义。诊断时计算中性粒细胞与淋巴细胞比值（NLR）、血小板与淋巴细胞比值（PLR）、全身免疫炎症指数（SII）、全身炎症反应指数（SIRI）。通过受试者工作特征分析确定无进展生存期（PFS）和总生存期（OS）的最佳临界值。使用Kaplan-Meier分析评估生存结果。结果：NLR、PLR、SII和SIRI值越高，PFS和OS越短（p < 0.01）。虽然临床病理因素、年龄、疾病分期和B症状主要影响总生存，但在生存分析中，cbc衍生的炎症指数也与PFS和OS相关。复合CBCSM可以进行额外的风险分层，在增加的风险类别中观察到逐渐恶化的结果。结论：基线cbc衍生炎症指数和复合CBCSM可能为HL的预后提供有临床意义的信息。它们的简单性、成本效益和常规可用性使其成为风险分层和个体化患者管理的传统预后因素的潜在有用辅助手段。

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

Biomarkers 医学-毒理学

CiteScore

5.00

自引率

3.80%

发文量

140

审稿时长

3 months

期刊介绍： The journal Biomarkers brings together all aspects of the rapidly growing field of biomarker research, encompassing their various uses and applications in one essential source. Biomarkers provides a vital forum for the exchange of ideas and concepts in all areas of biomarker research. High quality papers in four main areas are accepted and manuscripts describing novel biomarkers and their subsequent validation are especially encouraged: • Biomarkers of disease • Biomarkers of exposure • Biomarkers of response • Biomarkers of susceptibility Manuscripts can describe biomarkers measured in humans or other animals in vivo or in vitro. Biomarkers will consider publishing negative data from studies of biomarkers of susceptibility in human populations.