Literature DB >> 26181258

Correlation of Smoking-Associated DNA Methylation Changes in Buccal Cells With DNA Methylation Changes in Epithelial Cancer.

Andrew E Teschendorff1, Zhen Yang2, Andrew Wong3, Christodoulos P Pipinikas4, Yinming Jiao2, Allison Jones5, Shahzia Anjum5, Rebecca Hardy3, Helga B Salvesen6, Christina Thirlwell4, Samuel M Janes7, Diana Kuh3, Martin Widschwendter5.   

Abstract

IMPORTANCE: The utility of buccal cells as an epithelial source tissue for epigenome-wide association studies (EWASs) remains to be demonstrated. Given the direct exposure of buccal cells to potent carcinogens such as smoke, epigenetic changes in these cells may provide insights into the development of smoke-related cancers.
OBJECTIVE: To perform an EWAS in buccal and blood cells to assess the relative effect of smoking on the DNA methylation (DNAme) patterns in these cell types and to test whether these DNAme changes are also seen in epithelial cancer. DESIGN, SETTING, AND PARTICIPANTS: In 2013, we measured DNAme at more than 480,000 CpG sites in buccal samples provided in 1999 by 790 women (all aged 53 years in 1999) from the United Kingdom Medical Research Council National Survey of Health and Development. This included matched blood samples from 152 women. We constructed a DNAme-based smoking index and tested its sensitivity and specificity to discriminate normal from cancer tissue in more than 5000 samples. MAIN OUTCOMES AND MEASURES: CpG sites whose DNAme level correlates with smoking pack-years, and construction of an associated sample-specific smoking index, which measures the mean deviation of DNAme at smoking-associated CpG sites from a normal reference.
RESULTS: In a discovery set of 400 women, we identified 1501 smoking-associated CpG sites at a genome-wide significance level of P < 10-7, which were validated in an independent set of 390 women. This represented a 40-fold increase of differentially methylated sites in buccal cells compared with matched blood samples. Hypermethylated sites were enriched for bivalently marked genes and binding sites of transcription factors implicated in DNA repair and chromatin architecture (P < 10-10). A smoking index constructed from the DNAme changes in buccal cells was able to discriminate normal tissue from cancer tissue with a mean receiver operating characteristic area under the curve of 0.99 (range, 0.99-1.00) for lung cancers and of 0.91 (range, 0.71-1.00) for 13 other organs. The corresponding area under the curve of a smoking signature derived from blood cells was lower than that derived from buccal cells in 14 of 15 cancer types (Wilcoxon signed rank test, P = .001). CONCLUSIONS AND RELEVANCE: These data point toward buccal cells as being a more appropriate source of tissue than blood to conduct EWASs for smoking-related epithelial cancers.

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Year:  2015        PMID: 26181258     DOI: 10.1001/jamaoncol.2015.1053

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  94 in total

1.  Cigarette smoking significantly alters sperm DNA methylation patterns.

Authors:  T G Jenkins; E R James; D F Alonso; J R Hoidal; P J Murphy; J M Hotaling; B R Cairns; D T Carrell; K I Aston
Journal:  Andrology       Date:  2017-09-26       Impact factor: 3.842

2.  Don't brush off buccal data heterogeneity.

Authors:  Andrei L Turinsky; Darci T Butcher; Sanaa Choufani; Rosanna Weksberg; Michael Brudno
Journal:  Epigenetics       Date:  2019-03-01       Impact factor: 4.528

3.  Tobacco smoking and smoking-related DNA methylation are associated with the development of frailty among older adults.

Authors:  Xu Gao; Yan Zhang; Kai-Uwe Saum; Ben Schöttker; Lutz Philipp Breitling; Hermann Brenner
Journal:  Epigenetics       Date:  2016-12-21       Impact factor: 4.528

4.  DNA methylation changes in response to active smoking exposure are associated with leukocyte telomere length among older adults.

Authors:  Xu Gao; Ute Mons; Yan Zhang; Lutz Philipp Breitling; Hermann Brenner
Journal:  Eur J Epidemiol       Date:  2016-11-10       Impact factor: 8.082

5.  Relationships of Long-Term Smoking and Moist Snuff Consumption With a DNA Methylation Age Relevant Smoking Index: An Analysis in Buccal Cells.

Authors:  Jamaji C Nwanaji-Enwerem; Andres Cardenas; Peter R Chai; Marc G Weisskopf; Andrea A Baccarelli; Edward W Boyer
Journal:  Nicotine Tob Res       Date:  2019-08-19       Impact factor: 4.244

6.  Vitamin C Prevents Offspring DNA Methylation Changes Associated with Maternal Smoking in Pregnancy.

Authors:  Lyndsey E Shorey-Kendrick; Cindy T McEvoy; Betsy Ferguson; Julja Burchard; Byung S Park; Lina Gao; Brittany H Vuylsteke; Kristin F Milner; Cynthia D Morris; Eliot R Spindel
Journal:  Am J Respir Crit Care Med       Date:  2017-09-15       Impact factor: 21.405

Review 7.  Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity.

Authors:  Thomas R Pisanic; Pornpat Athamanolap; Tza-Huei Wang
Journal:  Semin Cell Dev Biol       Date:  2016-08-28       Impact factor: 7.727

8.  Associations of self-reported smoking, cotinine levels and epigenetic smoking indicators with oxidative stress among older adults: a population-based study.

Authors:  Xu Gao; Xīn Gào; Yan Zhang; Lutz Philipp Breitling; Ben Schöttker; Hermann Brenner
Journal:  Eur J Epidemiol       Date:  2017-04-22       Impact factor: 8.082

9.  Down-regulation of BRMS1 by DNA hypermethylation and its association with metastatic progression in triple-negative breast cancer.

Authors:  Bin Kong; Zhi-Dong Lv; Yu Wang; Li-Ying Jin; Lei Ding; Zhao-Chuan Yang
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

10.  Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers.

Authors:  Theresa Ryan Stueve; Wen-Qing Li; Jianxin Shi; Crystal N Marconett; Tongwu Zhang; Chenchen Yang; Daniel Mullen; Chunli Yan; William Wheeler; Xing Hua; Beiyun Zhou; Zea Borok; Neil E Caporaso; Angela C Pesatori; Jubao Duan; Ite A Laird-Offringa; Maria Teresa Landi
Journal:  Hum Mol Genet       Date:  2017-08-01       Impact factor: 6.150

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