Su Yanxun, Han Zhenxian, Ji Yutong, Liu Anqi, Zou Dong, Yan Lina, Liu Dan, Zhang Zhang, Wang Qian-Fei
China National Center for Bioinformation, 100101, Beijing, China.
Beijing Institute of Genomics, Chinese Academy of Sciences, 100101, Beijing, China.
Leukemia. 2025 Apr;39(4):827-836. doi: 10.1038/s41375-025-02514-9. Epub 2025 Feb 2.
Recent pan-cancer analysis revealed the global pattern and potential aetiologies of copy number variation signatures in human cancers, particularly those derived from non-hematopoietic tissues. In sharp contrast, the generally low CNV burden in leukemia leaves the CNV landscape and variations largely unexplored, impeding understanding of CNV in leukemia development. Through a comprehensive compilation of public datasets, we constructed LeukAtlas ( https://ngdc.cncb.ac.cn/leukemia ), a user-friendly database encompassing 12,597 CNVs from 1446 AML samples across diverse subtypes and age groups, providing tools for multidimensional CNV analysis. Our analyses suggested the CNV levels significantly varied among AML patients. We discovered two previously unknown CNV patterns in adult AML patients, dominated by segmental LOH and/or minor gain, which have been shown to be associated with chromosomal instability in solid tumors. Additionally, we defined two potential new AML subgroups based on CNVs status, providing new stratification markers within the existing karyotype framework. Representing the most extensive CNV collection in AML, LeukAtlas is a valuable resource for exploring the role of CNVs in the pathogenesis and prognosis stratification of leukemia. Interrogation of this database uncovers novel subclasses with unique CNV profiles and reveals heterogeneous CNV patterns in AML, demonstrating the potential role of chromosomal instability in AML progression.
最近的泛癌分析揭示了人类癌症中拷贝数变异特征的全球模式和潜在病因,特别是那些源自非造血组织的癌症。与之形成鲜明对比的是,白血病中普遍较低的拷贝数变异负担使得拷贝数变异格局和变异情况在很大程度上未被探索,这阻碍了我们对白血病发展过程中拷贝数变异的理解。通过全面汇编公共数据集,我们构建了LeukAtlas(https://ngdc.cncb.ac.cn/leukemia),这是一个用户友好型数据库,包含来自1446例不同亚型和年龄组急性髓系白血病样本的12597个拷贝数变异,提供了多维拷贝数变异分析工具。我们的分析表明,急性髓系白血病患者的拷贝数变异水平存在显著差异。我们在成年急性髓系白血病患者中发现了两种先前未知的拷贝数变异模式,以节段性杂合性缺失和/或微小增益为主,这些模式已被证明与实体瘤中的染色体不稳定性有关。此外,我们基于拷贝数变异状态定义了两个潜在的新急性髓系白血病亚组,在现有的核型框架内提供了新的分层标志物。LeukAtlas代表了急性髓系白血病中最广泛的拷贝数变异集合,是探索拷贝数变异在白血病发病机制和预后分层中作用的宝贵资源。对该数据库的查询揭示了具有独特拷贝数变异谱的新亚类,并揭示了急性髓系白血病中异质性的拷贝数变异模式,证明了染色体不稳定性在急性髓系白血病进展中的潜在作用。