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无症状单克隆丙种球蛋白血症进展为骨髓瘤的临床、基因组和影像学预测因素(SWOG S0120)。

Clinical, genomic, and imaging predictors of myeloma progression from asymptomatic monoclonal gammopathies (SWOG S0120).

机构信息

Yale Cancer Center, Yale University, New Haven, CT;

出版信息

Blood. 2014 Jan 2;123(1):78-85. doi: 10.1182/blood-2013-07-515239. Epub 2013 Oct 21.

Abstract

All cases of clinical myeloma (CMM) are preceded by an asymptomatic monoclonal gammopathy (AMG), classified as either monoclonal gammopathy of undetermined significance (MGUS) or asymptomatic multiple myeloma (AMM). We analyzed data from AMG patients (n = 331) enrolled in a prospective, observational clinical trial (S0120). Baseline data from clinical variables, gene expression profiles (GEP) of purified tumor cells, and findings of magnetic resonance imaging (MRI) were correlated with the risk of progression to CMM requiring therapy. GEP of purified tumor cells revealed that all molecular subtypes of CMM are also represented in the AMG phase. An increased risk score (>-0.26) (based on a 70-gene signature, GEP70) was an independent predictor of the risk of progression to CMM. Combination of elevated serum free light chain, M-spike, and GEP70 risk score identified a subset with high risk (67% at 2 years) of progression to CMM requiring therapy. Importantly, absence of these factors in AMM patients predicted low risk similar to MGUS. Detection of multiple (>1) focal lesions by MRI also conferred an increased risk of progression. These data demonstrate that signatures associated with high-risk CMM impact disease risk and support inclusion of genomic analysis in the clinical management of AMGs.

摘要

所有临床多发性骨髓瘤(CMM)病例均以前无症状单克隆丙种球蛋白血症(AMG)为前驱,分为意义未明单克隆丙种球蛋白血症(MGUS)或无症状多发性骨髓瘤(AMM)。我们分析了前瞻性观察性临床试验(S0120)中 AMG 患者(n=331)的基线数据。从临床变量、纯化肿瘤细胞的基因表达谱(GEP)和磁共振成像(MRI)的发现中,我们对与需要治疗的 CMM 进展风险相关的基线数据进行了分析。纯化肿瘤细胞的 GEP 显示,CMM 的所有分子亚型在 AMG 期也有表现。风险评分增加(>-0.26)(基于 70 个基因特征,GEP70)是 CMM 进展风险的独立预测因子。升高的血清游离轻链、M 峰和 GEP70 风险评分的组合,确定了一个具有高进展风险(2 年内为 67%)需要治疗的 CMM 亚组。重要的是,在 AMM 患者中缺乏这些因素预测的风险与 MGUS 相似为低风险。MRI 检测到多个(>1)局灶性病变也增加了进展的风险。这些数据表明,与高危 CMM 相关的特征会影响疾病风险,并支持在 AMG 的临床管理中纳入基因组分析。

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