Hetzel Sara, Hodis Eran, Torlai Triglia Elena, Kovacsovics Alexander, Steinmann Kathleen, Gnirke Andreas, Cui Meiying, McQuaid Daniel, Weigert Raha, Pohl Georg, Muzumdar Mandar D, Leyvraz Serge, Keilholz Ulrich, Yaspo Marie-Laure, Regev Aviv, Kretzmer Helene, Smith Zachary D, Meissner Alexander
Max Planck Institute for Molecular Genetics, Berlin, Germany.
Present Address: Digital Health Cluster, Digital Engineering Faculty, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
Genome Biol. 2025 Jul 17;26(1):212. doi: 10.1186/s13059-025-03650-2.
Tumors represent dynamically evolving populations of mutant cells, and many advances have been made in understanding the biology of their progression. However, there are key unresolved questions about the conditions that support a cell's initial transformation, which cannot be easily captured in patient populations and are instead modeled using transgenic cellular or animal systems.
Here, we use extensive patient atlas data to define common features of the tumor DNA methylation landscape as they compare to healthy human cells and apply this benchmark to evaluate 21 engineered human and mouse models for their ability to reproduce these patterns. Notably, we find that genetically induced cellular transformation rarely recapitulates the widespread de novo methylation of Polycomb regulated promoter sequences as found in clinical samples, but can trigger global changes in DNA methylation levels that are consistent with extensive proliferation in vitro.
Our results raise pertinent questions about the relationship between genetic and epigenetic aspects of tumorigenesis as well as provide an important molecular reference for evaluating existing and emerging tumor models.
肿瘤代表了突变细胞动态演变的群体,在理解其进展生物学方面已经取得了许多进展。然而,关于支持细胞初始转化的条件仍存在关键的未解决问题,这些问题在患者群体中难以轻易捕捉,而是使用转基因细胞或动物系统进行建模。
在这里,我们使用大量患者图谱数据来定义肿瘤DNA甲基化景观与健康人类细胞相比的共同特征,并应用此基准来评估21种工程化的人类和小鼠模型再现这些模式的能力。值得注意的是,我们发现基因诱导的细胞转化很少能重现临床样本中发现的多梳调节启动子序列广泛的从头甲基化,但可以触发与体外广泛增殖一致的DNA甲基化水平的全局变化。
我们的结果提出了关于肿瘤发生的遗传和表观遗传方面之间关系的相关问题,并为评估现有和新兴肿瘤模型提供了重要的分子参考。