选择性破坏DNMT1/ELK1相互作用诱导DGKI重新表达,并促进mgmt甲基化/ dgki甲基化胶质母细胞瘤的替莫唑胺敏感性。

IF 4.4 2区 医学 Q1 GENETICS & HEREDITY
Jean-Maxime Besson, Amandine Etcheverry, Arulraj Nadaradjane, Gwenola Bougras-Cartron, Marc Aubry, Jean-Sebastien Frenel, Alain Chevanieu, Marie Lopez, Jean Mosser, Pierre-François Cartron
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引用次数: 0

摘要

背景:DNA甲基转移酶(DNMT)抑制剂正在成为一种有前景的药物,用于个性化和靶向癌症治疗,特别是治疗选择有限的恶性肿瘤,如胶质母细胞瘤(GB)。在GB中,MGMT/DGKI甲基化谱可作为根据治疗反应对患者进行分层的生物标志物。具体来说,MGMTmethylated/DGKIunmethylated基因与良好的预后相关,而MGMTmethylated/DGKImethylated基因与不良的预后相关。这些发现表明,在不改变MGMT或诱导广泛的基因组低甲基化的情况下,DGKI的选择性去甲基化可能会促进肿瘤的发生,这可能是一种新的更有效的治疗策略。结果:目前的DNMT抑制剂缺乏对胶质母细胞瘤相关甲基化谱的特异性,从而限制了它们的治疗效果。为了解决这一挑战,基于alphafold的蛋白质-蛋白质相互作用预测与序列染色质免疫沉淀测定相结合,并建立了DNMT1相互作用组数据。这种综合方法鉴定出DNMT1/ELK1复合物是DGKI甲基化的关键调节因子。设计了一种模拟DNMT1/ELK1界面的肽,命名为EXDDNMT1/ELK1,并显示其诱导DGKI选择性去甲基化,而不改变MGMT或诱导全局DNA低甲基化。值得注意的是,EXDDNMT1/ELK1并未促进细胞增殖或侵袭,并在细胞和体内模型中成功恢复了对标准胶质母细胞瘤治疗的敏感性。这些发现也支持使用无细胞DNA中的MGMT和DGKI甲基化水平作为潜在的生物标志物来识别可能从EXDDNMT1/ELK1治疗中获益的患者。结论:本研究确定了一种临床可操作的生物标志物(MGMTMethylated/DGKIMethylated),可在固体和液体活检中检测到,从而实现患者分层。此外,EXDDNMT1/ELK1作为一种高选择性表观遗传治疗剂治疗GB患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Selective disruption of DNMT1/ELK1 interactions induces DGKI re-expression and promotes temozolomide sensitivity of MGMT<sup>methylated</sup>/DGKI<sup>methylated</sup> glioblastoma.

Selective disruption of DNMT1/ELK1 interactions induces DGKI re-expression and promotes temozolomide sensitivity of MGMT<sup>methylated</sup>/DGKI<sup>methylated</sup> glioblastoma.

Selective disruption of DNMT1/ELK1 interactions induces DGKI re-expression and promotes temozolomide sensitivity of MGMT<sup>methylated</sup>/DGKI<sup>methylated</sup> glioblastoma.

Selective disruption of DNMT1/ELK1 interactions induces DGKI re-expression and promotes temozolomide sensitivity of MGMTmethylated/DGKImethylated glioblastoma.

Background: DNA methyltransferase (DNMT) inhibitors are emerging as a promising class of agents for personalized and targeted cancer therapy, particularly in malignancies with limited therapeutic options such as glioblastoma (GB). In GB, the MGMT/DGKI methylation profile serves as a biomarker for stratifying patients by treatment response. Specifically, the MGMTmethylated/DGKIunmethylated profile is associated with favorable outcomes, whereas the MGMTmethylated/DGKImethylated profile correlates with poor outcome. These findings suggest that selective demethylation of DGKI without altering MGMT or inducing widespread genomic hypomethylation, which may promote tumorigenesis, could represent a novel and more effective therapeutic strategy.

Results: Current DNMT inhibitors lack specificity for glioblastoma relevant methylation profiles, thereby limiting their therapeutic efficacy. To address this challenge, AlphaFold-based protein-protein interaction predictions were integrated with sequential chromatin immunoprecipitation assays and established DNMT1 interactome data. This integrative approach led to the identification of a DNMT1/ELK1 complex as a critical regulator of DGKI methylation. A peptide mimicking the DNMT1/ELK1 interface, designated EXDDNMT1/ELK1, was designed and shown to induce selective DGKI demethylation without altering MGMT or inducing global DNA hypomethylation. Notably, EXDDNMT1/ELK1 did note promote cellular proliferation or invasion, and successfully restored sensitivity to standard glioblastoma therapy in both cellular and in vivo models. These findings also support the use of MGMT and DGKI methylation levels in cell-free DNA as potential biomarkers to identify patients likely to benefit from EXDDNMT1/ELK1 treatment.

Conclusion: This study identifies a clinically actionable biomarker (MGMTMethylated/DGKIMethylated), detectable in both solid and liquid biopsies, enabling patient stratification. Furthermore, it establishes EXDDNMT1/ELK1 as a highly selective epigenetic therapeutic agent to treat GB patients.

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来源期刊
自引率
5.30%
发文量
150
期刊介绍: Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.
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