1306例原发性骨髓纤维化患者中白血病转化的风险因素及预测模型构建
Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
原文发布日期:2019-01-25
DOI: 10.1038/s41408-019-0175-y
类型: Article
开放获取: 是
英文摘要:
摘要翻译:
原文链接:
Among 1306 patients with primary myelofibrosis (PMF), we sought to identify risk factors that predicted leukemic transformation (LT) in the first 5 years of disease and also over the course of the disease. 149 (11%) LT were documented; patients who subsequently developed LT (n = 149), compared to those who remained in chronic phase disease (n = 1,157), were more likely to be males (p = 0.02) and display higher circulating blasts (p = 0.03), ASXL1 (p = 0.01), SRSF2 (p = 0.001) and IDH1 (p = 0.02) mutations. Logistic regression analysis identified IDH1, ASXL1 and SRSF2 mutations, very high-risk karyotype, age > 70 years, male sex, circulating blasts ≥ 3%, presence of moderate or severe anemia and constitutional symptoms, as predictors of LT in the first 5 years of diagnosis. Time-to-event Cox analysis confirmed LT prediction for IDH1 mutation (HR 4.3), circulating blasts ≥ 3% (HR 3.3), SRSF2 mutation (HR 3.0), age > 70 years (HR 2.1), ASXL1 mutation (HR 2.0) and presence of moderate or severe anemia (HR 1.9). HR-based risk point allocation resulted in a three-tiered LT risk model: high-risk (LT incidence 57%; HR 39.3, 95% CI 10.8–114), intermediate-risk (LT incidence 17%; HR 4.1, 95% CI 2.4–7.3) and low-risk (LT incidence 8%). The current study provides a highly discriminating LT predictive model for PMF.
在1306例原发性骨髓纤维化(PMF)患者中,我们试图识别在疾病前5年及整个病程中预测白血病转化(LT)的风险因素。共记录到149例(11%)LT发生;与维持在慢性期的患者(n=1157)相比,后续发生LT的患者(n=149)更可能为男性(p=0.02),并表现出更高的外周血原始细胞比例(p=0.03)以及ASXL1(p=0.01)、SRSF2(p=0.001)和IDH1(p=0.02)基因突变。逻辑回归分析确定IDH1、ASXL1和SRSF2突变、极高危核型、年龄>70岁、男性、外周血原始细胞≥3%、中重度贫血及体质性症状是诊断前5年内预测LT的因素。事件时间 Cox分析证实了以下因素对LT的预测作用:IDH1突变(HR 4.3)、外周血原始细胞≥3%(HR 3.3)、SRSF2突变(HR 3.0)、年龄>70岁(HR 2.1)、ASXL1突变(HR 2.0)以及中重度贫血(HR 1.9)。基于HR的风险评分分配形成了三级LT风险模型:高风险(LT发生率57%;HR 39.3,95%CI 10.8-114)、中风险(LT发生率17%;HR 4.1,95%CI 2.4-7.3)和低风险(LT发生率8%)。本研究为PMF建立了一个具有高度区分度的LT预测模型。
……