1] Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA [2] Hematology and Hemotherapy Center - INCT do Sangue, University of Campinas - UNICAMP, Campinas, SP, Brazil [3] Department of Internal Medicine, University of São Paulo at Ribeirão Preto Medical School, Ribeirão Preto, SP, Brazil.
Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
Leukemia. 2014 Jan;28(1):78-87. doi: 10.1038/leu.2013.269. Epub 2013 Sep 18.
We hypothesized that specific molecular mutations are important biomarkers for response to DNA methyltransferase inhibitors (DNMT inhibitors) and may have prognostic value in patients with myelodysplastic syndromes (MDS). Mutational analysis was performed in 92 patients with MDS and related disorders who received 5-azacytidine (n=55), decitabine (n=26) or both (n=11). Mutational status was correlated with overall response rate (ORR), progression-free survival (PFS) and overall survival (OS) by univariate and multivariate analysis. Risk stratification models were created. TET2, DNMT3A, IDH1/IDH2, ASXL1, CBL, RAS and SF3B1 mutations were found in 18, 9, 8, 26, 3, 2 and 13% of patients, respectively. In multivariate analysis, TET2(MUT) and/or DNMT3A(MUT) (P=0.03), platelets > or = 100 × 10(9)/l (P=0.007) and WBC<3.0 × 10(9)/l (P=0.03) were independent predictors of better response. TET2(MUT) and/or DNMT3A(MUT) (P=0.04) status was also independently prognostic for improved PFS, as were good or intermediate cytogenetic risk (P<0.0001), age<60 (P=0.0001), treatment with both 5-azacytidine and decitabine (P=0.02) and hemoglobin > or = 10 g/dl (P=0.01). Better OS was associated with ASXL1(WT) (P=0.008) and SF3B1(MUT) (P=0.01), and, similar to PFS, cytogenetic risk (P=0.0002), age (P=0.02) and hemoglobin (P=0.04). These data support the role of molecular mutations as predictive biomarkers for response and survival in MDS patients treated with DNMT inhibitors.
我们假设特定的分子突变是对 DNA 甲基转移酶抑制剂(DNMT 抑制剂)反应的重要生物标志物,并且可能在骨髓增生异常综合征(MDS)患者中具有预后价值。对 92 名接受 5-氮杂胞苷(n=55)、地西他滨(n=26)或两者(n=11)治疗的 MDS 和相关疾病患者进行了突变分析。通过单变量和多变量分析,将突变状态与总反应率(ORR)、无进展生存期(PFS)和总生存期(OS)相关联。创建了风险分层模型。在患者中分别发现 TET2、DNMT3A、IDH1/IDH2、ASXL1、CBL、RAS 和 SF3B1 突变 18%、9%、8%、26%、3%、2%和 13%。在多变量分析中,TET2(MUT)和/或 DNMT3A(MUT)(P=0.03)、血小板>或=100×10(9)/l(P=0.007)和白细胞<3.0×10(9)/l(P=0.03)是更好反应的独立预测因子。TET2(MUT)和/或 DNMT3A(MUT)(P=0.04)状态也与 PFS 改善独立相关,良好或中等细胞遗传学风险(P<0.0001)、年龄<60 岁(P=0.0001)、接受 5-氮杂胞苷和地西他滨联合治疗(P=0.02)和血红蛋白>或=10g/dl(P=0.01)也是如此。更好的 OS 与 ASXL1(WT)(P=0.008)和 SF3B1(MUT)(P=0.01)相关,与 PFS 相似,细胞遗传学风险(P=0.0002)、年龄(P=0.02)和血红蛋白(P=0.04)也是如此。这些数据支持分子突变作为预测生物标志物,可用于预测接受 DNMT 抑制剂治疗的 MDS 患者的反应和生存。