INSERM U1170, Gustave Roussy Cancer Center, Villejuif, France.
Division of Hematology, Mayo Clinic, Rochester, MN, USA.
EBioMedicine. 2018 May;31:174-181. doi: 10.1016/j.ebiom.2018.04.018. Epub 2018 Apr 25.
Somatic mutations contribute to the heterogeneous prognosis of chronic myelomonocytic leukemia (CMML). Hypomethylating agents (HMAs) are active in CMML, but analyses of small series failed to identify mutations predicting response or survival. We analyzed a retrospective multi-center cohort of 174 CMML patients treated with a median of 7 cycles of azacitidine (n = 68) or decitabine (n = 106). Sequencing data before treatment initiation were available for all patients, from Sanger (n = 68) or next generation (n = 106) sequencing. Overall response rate (ORR) was 52%, including complete response (CR) in 28 patients (17%). In multivariate analysis, ASXL1 mutations predicted a lower ORR (Odds Ratio [OR] = 0.85, p = 0.037), whereas TET2/ASXL1 genotype predicted a higher CR rate (OR = 1.18, p = 0.011) independently of clinical parameters. With a median follow-up of 36.7 months, overall survival (OS) was 23.0 months. In multivariate analysis, RUNX1 (Hazard Ratio [HR] = 2.00, p = .011), CBL (HR = 1.90, p = 0.03) genotypes and higher WBC (log(WBC) HR = 2.30, p = .005) independently predicted worse OS while the TET2/ASXL1 predicted better OS (HR = 0.60, p = 0.05). CMML-specific scores CPSS and GFM had limited predictive power. Our results stress the need for robust biomarkers of HMA activity in CMML and for novel treatment strategies in patients with myeloproliferative features and RUNX1 mutations.
体细胞突变导致慢性粒单核细胞白血病 (CMML) 的预后存在异质性。低甲基化药物(HMAs)在 CMML 中具有活性,但对小系列的分析未能确定预测反应或生存的突变。我们分析了 174 例接受中位数为 7 个周期阿扎胞苷(n=68)或地西他滨(n=106)治疗的 CMML 患者的回顾性多中心队列。所有患者均在治疗前获得了 Sanger(n=68)或下一代(n=106)测序的测序数据。总缓解率(ORR)为 52%,包括 28 例患者(17%)完全缓解(CR)。多变量分析表明,ASXL1 突变预测 ORR 较低(优势比 [OR] = 0.85,p = 0.037),而 TET2/ASXL1 基因型独立于临床参数预测更高的 CR 率(OR = 1.18,p = 0.011)。中位随访 36.7 个月,总生存期(OS)为 23.0 个月。多变量分析表明,RUNX1(风险比 [HR] = 2.00,p = 0.011)、CBL(HR = 1.90,p = 0.03)基因型和较高的白细胞计数(log(白细胞计数)HR = 2.30,p = 0.005)独立预测 OS 更差,而 TET2/ASXL1 预测 OS 更好(HR = 0.60,p = 0.05)。CMML 特异性评分 CPSS 和 GFM 预测能力有限。我们的研究结果强调了在 CMML 中需要稳健的 HMA 活性生物标志物以及在具有骨髓增生特征和 RUNX1 突变的患者中需要新的治疗策略。