意义不确定的单克隆伽玛病患者的预后标志物

Silvia Medina , Mercedes Espiño , María J. Blanchard , Raquel Alenda , Ernesto Roldán , Luisa M. Villar
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引用次数: 2

摘要

目的:由于向多发性骨髓瘤(MM)的转化率较低,评估不确定意义单克隆γ病变(MGUS)的预后生物标志物需要使用大队列和长时间随访。本文的目的是开发一个模型,该模型允许较小的队列和较短的随访以高可靠性使用。患者与方法对64例MGUS患者进行前瞻性随访,随访时间为6±0.24年。根据单克隆蛋白水平是否随时间升高,将患者分为进化型或非进化型。根据这些表型测试了MM转化的风险,以及预测MM转化的因素是否也与进化表型的出现有关。结果18例患者表型为进化型,53例为非进化型。所有先前转化为MM的患者均表现出进化表型(P = 0.003)。在诊断时,进化表型与IgA同型单克隆伽玛病相关(27比9%),单克隆IgG水平高于1,500 mg/dl (P = 0.007, OR 9.8), kappa/lambda比率改变相关(P = 0.001, OR 11.7)。结论MGUS患者表型进化的危险因素与MM发展的危险因素相同,这些数据表明了进化/非进化模型研究标记物预测MGUS患者预后的有效性,并证实了单克隆IgG水平和轻链比例在该病预后中的作用。
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Marcadores pronósticos en pacientes con gammapatía monoclonal de significado incierto

Objective

The assessment of prognostic biomarkers in monoclonal gammopathies of uncertain significance (MGUS) requires using large cohorts and long follow-ups, due to the low rate of conversion to multiple myeloma (MM). The aim of this article is to develop a model that allows smaller cohorts and shorter follow-ups to be used with high reliability.

Patients and methods

A total of 64 MGUS patients were studied and followed-up prospectively for 6 ± 0.24 years. Patients were classified as evolving or non-evolving, depending on whether the monoclonal protein levels increased or not over time. The risk of conversion to MM was tested based on these phenotypes, and whether the factors that predict conversion to MM are also associated with the appearance of an evolving phenotype.

Results

Eleven patients showed an evolving phenotype, and 53 a non-evolving one. All patients who converted to MM previously showed evolving phenotype (P = .003). At diagnosis, evolving phenotype associated with monoclonal gammopathies of IgA isotype (27 vs. 9%), monoclonal IgG levels above 1,500 mg/dl (P = .007, OR 9.8) and altered kappa/lambda ratios (P = .001, OR 11.7).

Conclusions

Risk factors for developing an evolving phenotype in MGUS patients are the same as those already described for the development of MM. These data show the validity of the evolving/non-evolving model to study markers to predict the outcome of MGUS patients, and confirm the role of the levels of monoclonal IgG and the light chains ratio in the prognosis of this disease.

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