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Prognostic Role of Gene Mutations in Chronic Myelomonocytic Leukemia Patients Treated With Hypomethylating Agents

机译:基因突变在低甲基化剂治疗的慢性粒细胞性白血病患者中的预后作用

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摘要

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 TET2mut/ASXL1wt 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, RUNX1mut (Hazard Ratio [HR] = 2.00, p = .011), CBLmut (HR = 1.90, p = 0.03) genotypes and higher WBC (log10(WBC) HR = 2.30, p = .005) independently predicted worse OS while the TET2mut/ASXL1wt 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.
机译:体细胞突变有助于慢性粒细胞性白血病(CMML)的异质预后。次甲基化剂(HMA)在CMML中很活跃,但是对小系列药物的分析未能识别出预测反应或存活的突变。我们分析了回顾性多中心队列研究,对174名接受7个周期的阿扎胞苷(n = 68)或地西他滨(n = 106)治疗的CMML患者进行了回顾性研究。从Sanger(n = 68)或下一代(n = 106)的测序开始,所有患者均可获得治疗开始前的测序数据。总体缓解率(ORR)为52%,包括28例患者的完全缓解(CR)(17%)。在多变量分析中,ASXL1突变预测ORR较低(几率[OR] = 0.85,p = 0.037),而TET2 mut / ASXL1 wt 基因型则预测CR率较高。 (OR = 1.18,p = 0.011)与临床参数无关。平均随访36.7个月,总生存(OS)为23.0个月。在多变量分析中,RUNX1 mut (危险比[HR] = 2.00,p = .011),CBL mut (HR = 1.90, p = 0.03)基因型和更高的WBC(log10(WBC)HR = .2.30, p = .005)独立预测更差的OS,而 TET2 mut < / em> / ASXL1 wt 预测更好的操作系统(HR = 0.60, p = 0.05) 。 CMML特定得分CPSS和GFM具有有限的预测能力。我们的结果强调,对于具有骨髓增生特征和 RUNX1 突变的患者,需要有强有力的CMML HMA生物标志物以及新颖的治疗策略。

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