DNA methylation array analysis identifies breast cancer associated RPTOR, MGRN1 and RAPSN hypomethylation in peripheral blood DNA

DNA methylation changes in peripheral blood DNA have been shown to be associated with solid tumors. We sought to identify methylation alterations in whole blood DNA that are associated with breast cancer (BC). Epigenome-wide DNA methylation profiling on blood DNA from BC cases and healthy controls was performed by applying Infinium HumanMethylation450K BeadChips. Promising CpG sites were selected and validated in three independent larger sample cohorts via MassARRAY EpiTyper assays. CpG sites located in three genes (cg06418238 in RPTOR, cg00736299 in MGRN1 and cg27466532 in RAPSN), which showed significant hypomethylation in BC patients compared to healthy controls in the discovery cohort (p < 1.00 × 10−6) were selected and successfully validated in three independent cohorts (validation I, n =211; validation II, n=378; validation III, n=520). The observed methylation differences are likely not cell-type specific, as the differences were only seen in whole blood, but not in specific sub cell-types of leucocytes. Moreover, we observed in quartile analysis that women in the lower methylation quartiles of these three loci had higher ORs than women in the higher quartiles. The combined AUC of three loci was 0.79 (95%CI 0.73-0.85) in validation cohort I, and was 0.60 (95%CI 0.54-0.66) and 0.62 (95%CI 0.57-0.67) in validation cohort II and III, respectively. Our study suggests that hypomethylation of CpG sites in RPTOR, MGRN1 and RAPSN in blood is associated with BC and might serve as blood-based marker supplements for BC if these could be verified in prospective studies.

[1]  C. Hudis,et al.  Invasive breast cancer version 1.2016 , 2016 .

[2]  M. Aittaleb,et al.  Failure of lysosome clustering and positioning in the juxtanuclear region in cells deficient in rapsyn , 2015, Journal of Cell Science.

[3]  A. Ashworth,et al.  Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis , 2015, Clinical Epigenetics.

[4]  A. Schneeweiss,et al.  DNA methylation array analyses identified breast cancer‐associated HYAL2 methylation in peripheral blood , 2015, International journal of cancer.

[5]  C. Mathers,et al.  Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012 , 2015, International journal of cancer.

[6]  Andrew Lonie,et al.  Epigenome-wide methylation in DNA from peripheral blood as a marker of risk for breast cancer , 2014, Breast Cancer Research and Treatment.

[7]  R. Bell Screening mammography – early detection or over-diagnosis? Contribution from Australian data , 2014, Climacteric : the journal of the International Menopause Society.

[8]  H. Brenner,et al.  F2RL3 methylation in blood DNA is a strong predictor of mortality. , 2014, International journal of epidemiology.

[9]  J. Issa,et al.  Examination of Whole Blood DNA Methylation as a Potential Risk Marker for Gastric Cancer , 2013, Cancer Prevention Research.

[10]  Peter Vogel,et al.  mTORC1 couples immune signals and metabolic programming to establish Treg cell function , 2013, Nature.

[11]  M. Goldacre,et al.  Screening , 2013, Huisarts en wetenschap.

[12]  Axel Benner,et al.  Circulating microRNAs in plasma as early detection markers for breast cancer , 2013, International journal of cancer.

[13]  R. Weksberg,et al.  Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray , 2013, Epigenetics.

[14]  D. Altman,et al.  The benefits and harms of breast cancer screening: an independent review , 2012, British Journal of Cancer.

[15]  K. Brennan,et al.  Is There a Link Between Genome-Wide Hypomethylation in Blood and Cancer Risk? , 2012, Cancer Prevention Research.

[16]  T. Spector,et al.  DNA methylation profiling in breast cancer discordant identical twins identifies DOK7 as novel epigenetic biomarker , 2012, Carcinogenesis.

[17]  Keitaro Matsuo,et al.  DNA Methylation in Peripheral Blood: A Potential Biomarker for Cancer Molecular Epidemiology , 2012, Journal of epidemiology.

[18]  J. Kere,et al.  Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility , 2012, PloS one.

[19]  Margaret R Karagas,et al.  Peripheral Blood Immune Cell Methylation Profiles Are Associated with Nonhematopoietic Cancers , 2012, Cancer Epidemiology, Biomarkers & Prevention.

[20]  Y. Bignon,et al.  BRCA1 promoter methylation in peripheral blood DNA was identified in sporadic breast cancer and controls. , 2012, Cancer epidemiology.

[21]  Devin C. Koestler,et al.  DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.

[22]  Michael Jones,et al.  Intragenic ATM methylation in peripheral blood DNA as a biomarker of breast cancer risk. , 2012, Cancer research.

[23]  A. Neugut,et al.  DNA methylation in peripheral blood measured by LUMA is associated with breast cancer in a population‐based study , 2012, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[24]  K. Gunderson,et al.  High density DNA methylation array with single CpG site resolution. , 2011, Genomics.

[25]  T. Taguchi,et al.  BRCA1 promoter methylation in peripheral blood cells is associated with increased risk of breast cancer with BRCA1 promoter methylation , 2011, Breast Cancer Research and Treatment.

[26]  M. Esteller,et al.  Validation of a DNA methylation microarray for 450,000 CpG sites in the human genome , 2011, Epigenetics.

[27]  Mariza de Andrade,et al.  Leukocyte DNA Methylation Signature Differentiates Pancreatic Cancer Patients from Healthy Controls , 2011, PloS one.

[28]  Margaret R Karagas,et al.  DNA methylation array analysis identifies profiles of blood-derived DNA methylation associated with bladder cancer. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  D. Hanahan,et al.  Hallmarks of Cancer: The Next Generation , 2011, Cell.

[30]  M. Thun,et al.  Performance of Common Genetic Variants in Breast-cancer Risk Models , 2022 .

[31]  C. Compton,et al.  The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM , 2010, Annals of Surgical Oncology.

[32]  Rondi A. Butler,et al.  Implications of LINE1 Methylation for Bladder Cancer Risk in Women , 2010, Clinical Cancer Research.

[33]  A. Teschendorff,et al.  An Epigenetic Signature in Peripheral Blood Predicts Active Ovarian Cancer , 2009, PloS one.

[34]  J. Peto,et al.  Gene-body hypermethylation of ATM in peripheral blood DNA of bilateral breast cancer patients , 2009, Human molecular genetics.

[35]  A. Bird,et al.  DNA methylation landscapes: provocative insights from epigenomics , 2008, Nature Reviews Genetics.

[36]  Lester L. Peters,et al.  Genome-wide association study identifies novel breast cancer susceptibility loci , 2007, Nature.

[37]  Monica Morrow,et al.  Local therapy and survival in breast cancer. , 2007, The New England journal of medicine.

[38]  Peter A. Jones,et al.  The Epigenomics of Cancer , 2007, Cell.

[39]  E. Andres Houseman,et al.  Global DNA Methylation Level in Whole Blood as a Biomarker in Head and Neck Squamous Cell Carcinoma , 2007, Cancer Epidemiology Biomarkers & Prevention.

[40]  Stefano Calza,et al.  Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort. , 2006, Journal of the National Cancer Institute.

[41]  Hanns Lochmüller,et al.  Impaired receptor clustering in congenital myasthenic syndrome with novel RAPSN mutations , 2006, Neurology.

[42]  D. Hayes,et al.  New guidelines for reporting of tumor marker studies in breast cancer research and treatment: REMARK , 2006, Breast Cancer Research and Treatment.

[43]  J. Weinstein,et al.  Biomarkers in Cancer Staging, Prognosis and Treatment Selection , 2005, Nature Reviews Cancer.

[44]  W. Sauerbrei,et al.  Reporting recommendations for tumor marker prognostic studies (REMARK). , 2005, Journal of the National Cancer Institute.

[45]  G. Barsh,et al.  Spongiform Degeneration in mahoganoid Mutant Mice , 2003, Science.

[46]  J. Avruch,et al.  Raptor, a Binding Partner of Target of Rapamycin (TOR), Mediates TOR Action , 2002, Cell.

[47]  Douglas F. Easton,et al.  Polygenic susceptibility to breast cancer and implications for prevention , 2002, Nature Genetics.

[48]  A. Meindl,et al.  Comprehensive analysis of 989 patients with breast or ovarian cancer provides BRCA1 and BRCA2 mutation profiles and frequencies for the German population , 2002, International journal of cancer.

[49]  R. Bast,et al.  2000 update of recommendations for the use of tumor markers in breast and colorectal cancer: clinical practice guidelines of the American Society of Clinical Oncology. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[50]  B. Weber,et al.  Genetic and hormonal risk factors in breast cancer. , 2000, Journal of the National Cancer Institute.

[51]  C. Hudis,et al.  Invasive Breast Cancer Version 1.2016, NCCN Clinical Practice Guidelines in Oncology. , 2016, Journal of the National Comprehensive Cancer Network : JNCCN.