Dynamic changes in blood-derived inflammatory and bone metabolic markers for disease monitoring and prognostic assessment in multiple myeloma.

IF 1.8 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2026-08-15 eCollection Date: 2026-01-01 DOI:10.62347/JCWP2716
Ruili Yuan, Jingjing Yin, Juan Liu, Ni Liu, Xuan Guo, Xiaoqin Wang
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引用次数: 0

Abstract

Objective: To investigate the clinical value of dynamic changes in inflammatory (NLR, PLR, LMR) and bone metabolic markers (β-CTX, PINP, BALP, serum calcium) before and after treatment for disease monitoring and prognosis in multiple myeloma (MM), and to validate these indicators in an independent cohort.

Methods: A derivation cohort (2018-2021, n = 402) and a temporal validation cohort (2021-2023, n = 218) were retrospectively enrolled. Patients were stratified into remission (n = 260) and non-remission (n = 142) groups. Dynamic changes (Δ) in inflammatory and bone metabolic markers were compared between groups. ANC and ALC were analyzed to elucidate NLR dynamics. Univariate Cox regression, collinearity diagnostics, and time-varying Cox regression were used to identify prognostic variables. Sensitivity analyses and external validation were performed.

Results: ΔPLR, ΔLMR, Δβ-CTX, ΔPINP, ΔBALP, and Δserum calcium differed significantly between groups (all P < 0.001), while ΔNLR did not (P = 0.616). Δβ-CTX showed the largest effect size. The derived neutrophil-to-lymphocyte ratio (dNLR) (HR 0.691, P < 0.001) and derived β-C-terminal telopeptide of type I collagen (dBCTX) (HR 4.205, P < 0.001) were independently associated with overall survival (OS). dNLR exhibited a time-dependent effect strengthening over follow-up, with pronounced prognostic value in R-ISS stage III patients (P < 0.001). Post-treatment ALC was also associated with OS (HR 0.767, P < 0.001). Results were confirmed in the validation cohort (dNLR: HR 0.595; dBCTX: HR 3.911; both P < 0.001).

Conclusion: Dynamic changes in inflammatory and bone metabolic markers effectively reflect treatment response in MM. The dNLR and dBCTX were identified as independent prognostic factors of OS that represent immune function and bone repair. In a temporally independent cohort, the blood-derived markers were validated, supporting their clinical utility for disease monitoring and risk stratification.

多发性骨髓瘤疾病监测和预后评估中血源性炎症和骨代谢标志物的动态变化
目的:探讨多发性骨髓瘤(MM)治疗前后炎性指标(NLR、PLR、LMR)和骨代谢指标(β-CTX、PINP、BALP、血清钙)的动态变化对疾病监测和预后的临床价值,并通过独立队列验证这些指标。方法:回顾性纳入衍生队列(2018-2021年,n = 402)和时间验证队列(2021-2023年,n = 218)。患者被分为缓解组(n = 260)和非缓解组(n = 142)。比较两组间炎症和骨代谢指标的动态变化(Δ)。通过分析ANC和ALC来阐明NLR的动态。采用单变量Cox回归、共线性诊断和时变Cox回归来确定预后变量。进行敏感性分析和外部验证。结果:ΔPLR、ΔLMR、Δβ-CTX、ΔPINP、ΔBALP、Δserum组间钙含量差异有统计学意义(P < 0.001), ΔNLR组间无统计学意义(P = 0.616)。Δβ-CTX的效应量最大。衍生性中性粒细胞与淋巴细胞比值(dNLR) (HR 0.691, P < 0.001)和衍生性I型胶原β- c末端末端肽(dBCTX) (HR 4.205, P < 0.001)与总生存期(OS)独立相关。dNLR在随访中表现出时间依赖性效应,在R-ISS III期患者中具有显著的预后价值(P < 0.001)。治疗后ALC也与OS相关(HR 0.767, P < 0.001)。结果在验证队列中得到证实(dNLR: HR 0.595; dBCTX: HR 3.911;均P < 0.001)。结论:炎症和骨代谢标志物的动态变化有效地反映了MM的治疗反应,dNLR和dBCTX被确定为OS的独立预后因素,代表免疫功能和骨修复。在一个暂时独立的队列中,血液来源的标记物得到了验证,支持其在疾病监测和风险分层方面的临床应用。
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
American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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552
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