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The interaction between cytosine methylation and processes of DNA replication and repair shape the mutational landscape of cancer genomes

机译:胞嘧啶甲基化与DNA复制过程的相互作用和癌症基因组的突变景观

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摘要

Methylated cytosines (5mCs) are frequently mutated in the genome. However, no studies have yet comprehensively analysed mutation-methylation associations across cancer types. Here we analyse 916 cancer genomes, together with tissue type-specific methylation and replication timing data. We describe a strong mutation-methylation association across colorectal cancer subtypes, most interestingly in samples with microsatellite instability (MSI) or Polymerase epsilon (POLE) exonuclease domain mutations. By analysing genomic regions with differential mismatch repair (MMR) efficiency, we suggest a possible role for MMR in the correction of 5mC deamination events, potentially accounting for the high rate of 5mC mutation accumulation in MSI tumours. Additionally, we propose that mutant POLE asserts a mutator phenotype specifically at 5mCs, and we find coding mutation hotspots in POLE-mutant cancers at highly-methylated CpGs in the tumour-suppressor genes APC and TP53. Finally, using multivariable regression models, we demonstrate that different cancers exhibit distinct mutation-methylation associations, with DNA repair influencing such associations in certain cancer genomes. Taken together, we find differential associations with methylation that are vital for accurately predicting expected mutation loads across cancer types. Our findings reveal links between methylation and common mutation and repair processes, with these mechanisms defining a key part of the mutational landscape of cancer genomes.
机译:甲基化胞嘧啶(5MC)经常在基因组中突变。然而,在癌症类型上尚无研究尚未进行全面分析突变 - 甲基化关联。在这里,我们将916个癌症基因组分析,以及组织类型的甲基化和复制定时数据。我们描述了整数癌亚型的强突变 - 甲基化关联,最有趣的是在具有微卫星不稳定性(MSI)或聚合酶ε(极)外切核酸酶突变的样品中。通过分析具有微分失配修复(MMR)效率的基因组区域,我们提示MMR在校正5MC脱胺发生事件中的可能作用,可能占MSI肿瘤中的5MC突变积累的高速率。另外,我们提出突变极在5MCS上致力于特异性的突变体表型,并且在肿瘤抑制基因APC和TP53中的高甲基化CPG中,我们在极突变癌中发现了编码突变热点。最后,使用多变量回归模型,我们证明了不同的癌症表现出不同的突变 - 甲基化关联,DNA修复影响某些癌症基因组中的这种关联。一起服用,我们发现甲基化的差异关联对于准确地预测癌症类型的预期突变载荷至关重要。我们的研究结果揭示了甲基化与常见突变和修复过程之间的联系,这些机制定义了癌症基因组的突变景观的关键部分。

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