Tefferi Ayalew, Fathima Saubia, Abdelmagid Maymona, Alsugair Ali Khalid A, Aperna Fnu, Rezasoltani Mahsa, Yousuf Muhammad, Natu Anuya, Csizmar Clifford M, Gurney Mark, Lasho Terra L, Finke Christy M, Kangal-Shamanna Rashmi, Hammond Danielle, Chien Kelly, Bazinet Alexandre, DiNardo Courtney D, Kadia Tapan M, Mangaonkar Abhishek A, Daver Naval, Pardanani Animesh, Borthakur Gautam, Zepeda-Mendoza Cinthya, Reichard Kaaren K, He Rong, Loghavi Sanam, Passamonti Francesco, Ravandi Farhad, Sasaki Koji, Larson Dirk R, Garcia-Manero Guillermo, Onida Francesco, Gangat Naseema, Montalban-Bravo Guillermo, Patnaik Mrinal M
Division of Hematology, Mayo Clinic, Rochester, MN.
Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.
Blood. 2025 Aug 14;146(7):874-886. doi: 10.1182/blood.2024027170.
We sought to develop a survival model in chronic myelomonocytic leukemia (CMML) that is primarily based on clinical variables and examine additional impact from mutations and karyotype. A total of 457 molecularly annotated patients were considered. Multivariable analysis identified circulating blasts ≥2% (1 point), leukocytes ≥13 × 109/L (1 point), and severe (2 points) or moderate (1 point) anemia as preferred risk variables in developing a clinical risk stratification tool for overall survival (OS), acronymized to "BLAST": low risk (0 points; median, 63 months); intermediate risk (1 point; median, 28 months; hazard ratio [HR], 2.2; 95% confidence interval [CI], 1.6-3.0), and high risk (2-4 points; median, 13 months; HR, 5.4; 95% CI, 4.1-7.3); the corresponding 3/5-year OS rates were 68%/53%, 43%/18%, and 12%/1%. BLAST model performance (area under the receiver operating characteristic curve [AUC] 0.77/0.85 at 3/5 years) was shown to be comparable to that of the molecular CMML-specific prognostic scoring system (AUC 0.73/0.75) and the international prognostic scoring system-molecular (AUC 0.73/0.74). Multivariable analysis of mutations and karyotype identified PHF6MUT and TET2MUT as being "favorable" and DNMT3AMUT, U2AF1MUT, BCORMUT, SETBP1MUT, ASXL1MUT, NRASMUT, PTPN11MUT, RUNX1MUT, TP53MUT, and adverse karyotype, "unfavorable." Molecular information was subsequently encoded in a combined clinical-molecular risk model (BLAST-mol; AUC 0.80/0.86 at 3/5 years) that included the aforementioned BLAST clinical risk variables and a 3-tiered molecular risk score. BLAST and BLAST-mol were subsequently validated by 2 separate external cohorts. Independent risk factors for blast transformation included DNMT3AMUT, ASXL1MUT, PHF6WT, leukocytes ≥13 × 109/L, and ≥2% circulating or ≥10% bone marrow blasts. The current study proposes an easy-to-implement, globally applicable, and molecularly adaptive risk model for CMML.
我们试图建立一种主要基于临床变量的慢性粒单核细胞白血病(CMML)生存模型,并研究突变和核型的额外影响。共纳入457例有分子注释的患者。多变量分析确定循环原始细胞≥2%(1分)、白细胞≥13×10⁹/L(1分)以及重度(2分)或中度(1分)贫血是构建总生存(OS)临床风险分层工具的优选风险变量,简称为“BLAST”:低风险(0分;中位数,63个月);中风险(1分;中位数,28个月;风险比[HR],2.2;95%置信区间[CI],1.6 - 3.0),高风险(2 - 4分;中位数,13个月;HR,5.4;95% CI,4.1 - 7.3);相应的3/5年OS率分别为68%/53%、43%/18%和12%/1%。BLAST模型性能(3/5年时受试者工作特征曲线下面积[AUC]为0.77/0.85)与分子CMML特异性预后评分系统(AUC 0.73/0.75)和国际预后评分系统 - 分子版(AUC 0.73/0.74)相当。对突变和核型的多变量分析确定PHF6突变和TET2突变是“有利的”,而DNMT3A突变、U2AF1突变、BCOR突变、SETBP1突变、ASXL1突变、NRAS突变、PTPN11突变、RUNX1突变、TP53突变以及不良核型是“不利的”。随后,分子信息被编码到一个联合临床 - 分子风险模型(BLAST - mol;3/5年时AUC为0.80/0.86)中,该模型包括上述BLAST临床风险变量和一个三级分子风险评分。BLAST和BLAST - mol随后在两个独立的外部队列中得到验证。原始细胞转化的独立危险因素包括DNMT3A突变、ASXL1突变、PHF6野生型、白细胞≥13×10⁹/L以及循环原始细胞≥2%或骨髓原始细胞≥10%。本研究提出了一种易于实施、全球适用且分子适应性强的CMML风险模型。