Lee Jong-Mi, Lee Ginkyeng, Kim Taeksang, Ahn Ari, Jung Jin, Kim Yoo-Jin, Park Silvia, Kwag Daehun, Lee Sung-Eun, Park Sung-Soo, Kim Tong-Yoon, Cho Bin, Chung Nack-Gyun, Lee Jae Wook, Yoo Jae Won, Jo Suejung, Kim Yonggoo, Kim Myungshin
Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Catholic Genetic Laboratory Centre, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Cancers (Basel). 2024 Dec 9;16(23):4121. doi: 10.3390/cancers16234121.
: Myeloid neoplasms encompass a diverse group of disorders. In this study, we aimed to analyze the clinical and genomic data of patients with myeloproliferative neoplasm (MPN), myelodysplastic neoplasm (MDS), and their overlapping conditions, such as MDS/MPN and aplastic anemia (AA), to help redefine the disease classification. : Clinico-genomic data of 1585 patients diagnosed with MPN ( = 715), MDS ( = 698), MDS/MPN ( = 78), and AA ( = 94) were collected. Patterns of 53 recurrent genomic abnormalities were compartmentalized into 10 groups using a Dirichlet process (DP). These genomic groups were correlated with specific genomic features, survival outcomes, and disease subtypes. Groups DP1 and DP5, characterized by and mutations, respectively, showed very favorable prognoses among the patients with MPN. Groups DP2, DP7, and DP9 demonstrated very adverse prognoses across the disease subtypes. DP2 included patients with MDS harboring mutations and complex karyotypes; DP9 comprised patients with acute myeloid leukemia-related mutations, including ; and DP7 included patients with mutations. Groups DP10 and DP8, linked to and mutations or chromosome 1q derivatives, presented a favorable risk profile. Improved survival was observed with transplantation in groups DP2, DP7, and DP9. : These findings highlight the role of genomic classifications in guiding personalized treatment strategies, ultimately enhancing the understanding and management of myeloid neoplasms.
骨髓肿瘤包括多种不同的疾病。在本研究中,我们旨在分析骨髓增殖性肿瘤(MPN)、骨髓增生异常综合征(MDS)及其重叠情况(如MDS/MPN和再生障碍性贫血(AA))患者的临床和基因组数据,以帮助重新定义疾病分类。收集了1585例诊断为MPN(n = 715)、MDS(n = 698)、MDS/MPN(n = 78)和AA(n = 94)患者的临床基因组数据。使用狄利克雷过程(DP)将53种复发性基因组异常模式划分为10组。这些基因组组与特定的基因组特征、生存结果和疾病亚型相关。分别以JAK2和MPL突变特征的DP1和DP5组在MPN患者中显示出非常好的预后。DP组2、7和9在所有疾病亚型中均显示出非常差的预后。DP2包括携带RUNX1突变和复杂核型的MDS患者;DP9包括患有急性髓系白血病相关突变(包括FLT3-ITD)的患者;DP7包括携带TP53突变的患者。与ASXL1和ETV6突变或1号染色体q臂衍生物相关的DP10和DP8组呈现出良好的风险特征。在DP2、DP7和DP9组中,移植后观察到生存率提高。这些发现突出了基因组分类在指导个性化治疗策略中的作用,最终增进了对骨髓肿瘤的理解和管理。