G. Gerotziafas, D. Fotiou, T. Sergentanis, L. Papageorgiou, J. Fareed, A. Falanga, M. Sabbah, L. Garderet, E. Terpos, I. Elalamy, P. Van Dreden, M. Dimopoulos
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引用次数: 0
摘要
高凝性生物标志物是评估新诊断多发性骨髓瘤(NDMM)患者初级治疗耐药风险的潜在候选者。本研究旨在确定最具临床相关性的生物标志物,以评估治疗耐药风险。NDMM患者(n = 144)在治疗开始前入组。3个月时评估治疗效果。测定sta - procoagulation - ppl®,factor VIIa - factor V,抗凝血酶,纤维蛋白单体,可溶性血栓调节蛋白(TM),游离TFPI, d -二聚体,p -选择素,肝素酶和凝血酶生成(校准的自动血栓成像®和PPP-Reagent®)。总共有23% (n = 33)的患者对治疗反应差/耐药(定义为疾病稳定、反应轻微、疾病进展)。不良反应/治疗抵抗与较长的促凝ppl®凝血时间、较高的凝血酶峰值和较高的d -二聚体水平有关。这些生物标志物包括在通过多变量分析得出的预后模型中。该模型识别耐药高危患者的敏感性为84%,特异性为59%。该模型的ROC分析AUC为0.75。总之,procoagulate - ppl®、D-Dimer和凝血酶生成峰值与识别抗骨髓瘤治疗反应不良风险的NDMM患者具有临床相关性。一项前瞻性的多中心研究是验证这种新方法的必要条件。
Treatment Resistance Risk in Patients with Newly Diagnosed Multiple Myeloma Is Associated with Blood Hypercoagulability: The ROADMAP-MM Study
Biomarkers of hypercoagulability are potential candidates for the evaluation of risk for primary treatment resistance in patients with newly diagnosed multiple myeloma (NDMM). This study aimed to identify the most clinically relevant biomarkers for the evaluation of treatment-resistance risk. NDMM patients (n = 144) were enrolled prior to treatment initiation. Response to treatment was assessed at 3 months. STA-Procoag-PPL®, factor VIIa factor V, antithrombin, fibrin monomers, soluble thrombomodulin (TM), free TFPI, D-Dimer, P-selectin, heparanase, and thrombin generation (Calibrated Automated Thrombogram® and PPP-Reagent®) were measured. In total, 23% (n = 33) of the patients showed a poor response/resistance to treatment (defined as stable disease, minor response, progressive disease). Poor response/treatment resistance was associated with longer Procoag-PPL® clotting time, higher Peak of thrombin, and higher D-Dimer levels. These biomarkers were included in a prognostic model derived via multivariate analysis. The model had 84% sensitivity and 59% specificity to identify patients at high risk of treatment resistance. The AUC of the ROC analysis for the model was 0.75. In conclusion, Procoag-PPL®, D-Dimer, and Peak of thrombin generation are clinically relevant for the identification of NDMM patients at risk for poor response to antimyeloma treatment. A prospective multicenter study is necessary for the validation of this new approach.