Corruption of the Intra-Gene DNA Methylation Architecture Is a Hallmark of Cancer

被引:17
作者
Bartlett, Thomas E. [1 ,2 ]
Zaikin, Alexey [2 ]
Olhede, Sofia C. [1 ,3 ]
West, James [1 ,4 ]
Teschendorff, Andrew E. [4 ]
Widschwendter, Martin [5 ]
机构
[1] UCL, CoMPLEX, London, England
[2] UCL, Dept Math, London, England
[3] UCL, Dept Stat Sci, London, England
[4] UCL, Stat Genom Grp, Inst Canc, London, England
[5] UCL, Elizabeth Garrett Anderson Inst Womens Hlth, Dept Womens Canc, London, England
来源
PLOS ONE | 2013年 / 8卷 / 07期
基金
英国工程与自然科学研究理事会;
关键词
HYPERMETHYLATION; EXPRESSION; SIGNATURE;
D O I
10.1371/journal.pone.0068285
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Epigenetic processes - including DNA methylation - are increasingly seen as having a fundamental role in chronic diseases like cancer. It is well known that methylation levels at particular genes or loci differ between normal and diseased tissue. Here we investigate whether the intra-gene methylation architecture is corrupted in cancer and whether the variability of levels of methylation of individual CpGs within a defined gene is able to discriminate cancerous from normal tissue, and is associated with heterogeneous tumour phenotype, as defined by gene expression. We analysed 270985 CpGs annotated to 18272 genes, in 3284 cancerous and 681 normal samples, corresponding to 14 different cancer types. In doing so, we found novel differences in intra-gene methylation pattern across phenotypes, particularly in those genes which are crucial for stem cell biology; our measures of intra-gene methylation architecture are a better determinant of phenotype than measures based on mean methylation level alone (K-S test p < 10(-3) in all 14 diseases tested). These per-gene methylation measures also represent a considerable reduction in complexity, compared to conventional per-CpG beta-values. Our findings strongly support the view that intra-gene methylation architecture has great clinical potential for the development of DNA-based cancer biomarkers.
引用
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页数:11
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