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
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
收藏
页数:11
相关论文
共 27 条
[1]   An embryonic stem cell-like gene expression signature in poorly differentiated aggressive human tumors [J].
Ben-Porath, Ittai ;
Thomson, Matthew W. ;
Carey, Vincent J. ;
Ge, Ruping ;
Bell, George W. ;
Regev, Aviv ;
Weinberg, Robert A. .
NATURE GENETICS, 2008, 40 (05) :499-507
[2]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[3]   The mammalian epigenome [J].
Bernstein, Bradley E. ;
Meissner, Alexander ;
Lander, Eric S. .
CELL, 2007, 128 (04) :669-681
[4]   Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island Context [J].
Christensen, Brock C. ;
Houseman, E. Andres ;
Marsit, Carmen J. ;
Zheng, Shichun ;
Wrensch, Margaret R. ;
Wiemels, Joseph L. ;
Nelson, Heather H. ;
Karagas, Margaret R. ;
Padbury, James F. ;
Bueno, Raphael ;
Sugarbaker, David J. ;
Yeh, Ru-Fang ;
Wiencke, John K. ;
Kelsey, Karl T. .
PLOS GENETICS, 2009, 5 (08)
[5]   Mapping the cancer genome - Pinpointing the genes involved in cancer will help chart a new course across the complex landscape of human malignancies [J].
Collins, Francis S. ;
Barker, Anna D. .
SCIENTIFIC AMERICAN, 2007, 296 (03) :50-57
[6]   Epigenelics - DNA-based mirror of our environment? [J].
Cooney, Craig A. .
DISEASE MARKERS, 2007, 23 (1-2) :121-137
[7]   A DNA hypermethylation module for the stem/progenitor cell signature of cancer [J].
Easwaran, Hariharan ;
Johnstone, Sarah E. ;
Van Neste, Leander ;
Ohm, Joyce ;
Mosbruger, Tim ;
Wang, Qiuju ;
Aryee, Martin J. ;
Joyce, Patrick ;
Ahuja, Nita ;
Weisenberger, Dan ;
Collisson, Eric ;
Zhu, Jingchun ;
Yegnasubramanian, Srinivasan ;
Matsui, William ;
Baylin, Stephen B. .
GENOME RESEARCH, 2012, 22 (05) :837-849
[8]   Gene Expression Omnibus: NCBI gene expression and hybridization array data repository [J].
Edgar, R ;
Domrachev, M ;
Lash, AE .
NUCLEIC ACIDS RESEARCH, 2002, 30 (01) :207-210
[9]   An introduction to ROC analysis [J].
Fawcett, Tom .
PATTERN RECOGNITION LETTERS, 2006, 27 (08) :861-874
[10]   The epigenetic progenitor origin of human cancer [J].
Feinberg, AP ;
Ohlsson, R ;
Henikoff, S .
NATURE REVIEWS GENETICS, 2006, 7 (01) :21-33