Title |
DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility
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Published in |
European Journal of Cancer (1965), February 2017
|
DOI | 10.1016/j.ejca.2017.01.014 |
Pubmed ID | |
Authors |
Srikant Ambatipudi, Steve Horvath, Flavie Perrier, Cyrille Cuenin, Hector Hernandez-Vargas, Florence Le Calvez-Kelm, Geoffroy Durand, Graham Byrnes, Pietro Ferrari, Liacine Bouaoun, Athena Sklias, Véronique Chajes, Kim Overvad, Gianluca Severi, Laura Baglietto, Françoise Clavel-Chapelon, Rudolf Kaaks, Myrto Barrdahl, Heiner Boeing, Antonia Trichopoulou, Pagona Lagiou, Androniki Naska, Giovanna Masala, Claudia Agnoli, Silvia Polidoro, Rosario Tumino, Salvatore Panico, Martijn Dollé, Petra H.M. Peeters, N. Charlotte Onland-Moret, Torkjel M. Sandanger, Therese H. Nøst, Elisabete Weiderpass, J. Ramón Quirós, Antonio Agudo, Miguel Rodriguez-Barranco, José María Huerta Castaño, Aurelio Barricarte, Ander Matheu Fernández, Ruth C. Travis, Paolo Vineis, David C. Muller, Elio Riboli, Marc Gunter, Isabelle Romieu, Zdenko Herceg |
Abstract |
A vast majority of human malignancies are associated with ageing, and age is a strong predictor of cancer risk. Recently, DNA methylation-based marker of ageing, known as 'epigenetic clock', has been linked with cancer risk factors. This study aimed to evaluate whether the epigenetic clock is associated with breast cancer risk susceptibility and to identify potential epigenetics-based biomarkers for risk stratification. Here, we profiled DNA methylation changes in a nested case-control study embedded in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (n = 960) using the Illumina HumanMethylation 450K BeadChip arrays and used the Horvath age estimation method to calculate epigenetic age for these samples. Intrinsic epigenetic age acceleration (IEAA) was estimated as the residuals by regressing epigenetic age on chronological age. We observed an association between IEAA and breast cancer risk (OR, 1.04; 95% CI, 1.007-1.076, P = 0.016). One unit increase in IEAA was associated with a 4% increased odds of developing breast cancer (OR, 1.04; 95% CI, 1.007-1.076). Stratified analysis based on menopausal status revealed that IEAA was associated with development of postmenopausal breast cancers (OR, 1.07; 95% CI, 1.020-1.11, P = 0.003). In addition, methylome-wide analyses revealed that a higher mean DNA methylation at cytosine-phosphate-guanine (CpG) islands was associated with increased risk of breast cancer development (OR per 1 SD = 1.20; 95 %CI: 1.03-1.40, P = 0.02) whereas mean methylation levels at non-island CpGs were indistinguishable between cancer cases and controls. Epigenetic age acceleration and CpG island methylation have a weak, but statistically significant, association with breast cancer susceptibility. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 4 | 33% |
India | 1 | 8% |
United Kingdom | 1 | 8% |
Germany | 1 | 8% |
France | 1 | 8% |
Ireland | 1 | 8% |
Unknown | 3 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 11 | 92% |
Scientists | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 197 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 33 | 17% |
Researcher | 26 | 13% |
Student > Master | 24 | 12% |
Student > Bachelor | 13 | 7% |
Professor | 10 | 5% |
Other | 35 | 18% |
Unknown | 56 | 28% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 50 | 25% |
Medicine and Dentistry | 32 | 16% |
Agricultural and Biological Sciences | 13 | 7% |
Nursing and Health Professions | 10 | 5% |
Psychology | 3 | 2% |
Other | 23 | 12% |
Unknown | 66 | 34% |