Gregoricchio Sebastian, Kojic Aleksandar, Hoogstraat Marlous, Schuurman Karianne, Stelloo Suzan, Severson Tesa M, O'Mara Tracy A, Droog Marjolein, Singh Abhishek A, Glubb Dylan M, Wessels Lodewyk F A, Vermeulen Michiel, van Leeuwen Flora E, Zwart Wilbert
Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Division of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Genome Biol. 2025 May 9;26(1):124. doi: 10.1186/s13059-025-03596-5.
The incidence and mortality of endometrial cancer (EC) is on the rise. Eighty-five percent of ECs depend on estrogen receptor alpha (ERα) for proliferation, but little is known about its transcriptional regulation in these tumors.
We generate epigenomics, transcriptomics, and Hi-C datastreams in healthy and tumor endometrial tissues, identifying robust ERα reprogramming and profound alterations in 3D genome organization that lead to a gain of tumor-specific enhancer activity during EC development. Integration with endometrial cancer risk single-nucleotide polymorphisms and whole-genome sequencing data from primary tumors and metastatic samples reveals a striking enrichment of risk variants and non-coding somatic mutations at tumor-enriched ERα sites. Through machine learning-based predictions and interaction proteomics analyses, we identify an enhancer mutation which alters 3D genome conformation, impairing recruitment of the transcriptional repressor EHMT2/G9a/KMT1C, thereby alleviating transcriptional repression of ESR1 in EC.
In summary, we identify a complex genomic-epigenomic interplay in EC development and progression, altering 3D genome organization to enhance expression of the critical driver ERα.
子宫内膜癌(EC)的发病率和死亡率正在上升。85%的子宫内膜癌依赖雌激素受体α(ERα)进行增殖,但对于其在这些肿瘤中的转录调控知之甚少。
我们在健康和肿瘤子宫内膜组织中生成了表观基因组学、转录组学和Hi-C数据流,确定了在子宫内膜癌发生过程中,ERα存在显著的重编程以及三维基因组组织发生深刻改变,导致肿瘤特异性增强子活性增加。将其与子宫内膜癌风险单核苷酸多态性以及来自原发性肿瘤和转移样本的全基因组测序数据相结合,发现富含肿瘤的ERα位点处风险变异和非编码体细胞突变显著富集。通过基于机器学习的预测和相互作用蛋白质组学分析,我们鉴定出一种增强子突变,该突变改变了三维基因组构象,损害了转录抑制因子EHMT2/G9a/KMT1C的招募,从而减轻了子宫内膜癌中ESR1的转录抑制。
总之,我们在子宫内膜癌的发生和进展中鉴定出一种复杂的基因组 - 表观基因组相互作用,改变三维基因组组织以增强关键驱动因子ERα的表达。