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Prognostic discrimination for early chronic phase chronic myeloid leukemia in imatinib era: Comparison of Sokal, Euro, and EUTOS scores in Korean population

机译:伊马替尼时代早期慢性慢性粒细胞白血病的预后判断:韩国人群中Sokal,Euro和EUTOS评分的比较

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Beyond the conventional Sokal and Euro scores, a new prognostic risk classification, based on the European Treatment Outcome Study (EUTOS), has been developed to predict the outcome of treatment with tyrosine kinase inhibitors (TKI) in chronic myeloid leukemia (CML). In the present study, each risk score was validated by various endpoints in 206 Korean patients with early chronic-phase CML treated with up-front standard dose imatinib. In our analysis, all three scores were found to be valid. The 5-year event-free survival (EFS) was significantly discriminated using Sokal (P = 0.002), Euro (P = 0.003), and EUTOS (P = 0.029), with the worst probability by Euro high-risk (62 vs. 49 vs. 67 %) and better EFS in Sokal low-risk (89 vs. 86 vs. 82 %). Combining all scores identified 6 % of all patients having homogeneous high-risk with distinctively worse outcomes (5-year EFS of 41 %, cumulative complete cytogenetic response rate of 56 %, and cumulative major molecular response rate of 27 %), whereas the group of discordance in risk scores (60 %) had similar results to those of intermediate-risk groups of Sokal and Euro scores. Combining all risk scores for baseline risk assessment may be useful in clinical practice for identifying groups of patients who may benefit from treatment initiation with a more potent TKI among the currently available first-line TKIs.
机译:除常规的Sokal和Euro评分外,还基于欧洲治疗结果研究(EUTOS)开发了一种新的预后风险分类,以预测酪氨酸激酶抑制剂(TKI)治疗慢性粒细胞白血病(CML)的结果。在本研究中,每项风险评分均通过206例接受预先标准剂量伊马替尼治疗的早期慢性期CML的韩国患者的各种终点进行了验证。在我们的分析中,发现所有三个分数都是有效的。使用Sokal(P = 0.002),Euro(P = 0.003)和EUTOS(P = 0.029)可以明显地区分5年无事件生存(EFS),其中欧元高风险的发生概率最差(62 vs. P. 0.00)。索卡尔(Sokal)低风险患者的EFS分别为49%vs. 67%和89%vs.86%达到82%。综合所有评分,发现所有患者中有6%的患者具有均一的高风险,但结局明显较差(5年EFS为41%,累计完全细胞遗传学应答率为56%,累计主要分子应答率为27%),而该组风险分数不一致(60%)的结果与索卡尔和欧元分数的中等风险组的结果相似。将所有风险评分结合起来进行基线风险评估,可能在临床实践中很有用,可用于在当前可用的一线TKI中识别出可能受益于更有效TKI的治疗开始的患者群体。

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