ArticleBreast cancer research and treatment2013
Differential methylation relative to breast cancer subtype and matched normal tissue reveals distinct patterns.
Article in Breast cancer research and treatment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- MammaTrace - a tumor naïve cell-free DNA methylation test for minimal residual disease in breast cancer.NPJ precision oncology · 2026Article
- A supervised Bayesian factor model for the identification of multi-omics signatures.Bioinformatics (Oxford, England) · 2024Article
- Article
- Methylome and transcriptome analyses reveal insights into the epigenetic basis for the good survival of hypomethylated ER-positive breast cancer subtype.Clinical epigenetics · 2020Article
- Acceleration in the DNA methylation age in breast cancer tumours from very young women.Scientific reports · 2019Article
- Reproductive characteristics are associated with gene-specific promoter methylation status in breast cancer.BMC cancer · 2019Article
- Immune Landscape of Breast Cancers.Biomedicines · 2018Review
- Article
- Breast tumor DNA methylation patterns associated with smoking in the Carolina Breast Cancer Study.Breast cancer research and treatment · 2017Article
- Integrated analysis of promoter methylation and expression of telomere related genes in breast cancer.Oncotarget · 2017Article
- DNA Methylation Patterns in Rat Mammary Carcinomas Induced by Pre- and Post-Pubertal Irradiation.PloS one · 2016Article
- DNA methylation and hormone receptor status in breast cancer.Clinical epigenetics · 2016Article
- Exploring DNA methylation changes in promoter, intragenic, and intergenic regions as early and late events in breast cancer formation.BMC cancer · 2015Article
- Racial variation in breast tumor promoter methylation in the Carolina Breast Cancer Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015Article
- Promoter hypermethylation profiling of distant breast cancer metastases.Breast cancer research and treatment · 2015Article
- CHST11 gene expression and DNA methylation in breast cancer.International journal of oncology · 2015Article
- Body mass index is associated with gene methylation in estrogen receptor-positive breast tumors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015Article
- Epigenetics in breast and prostate cancer.Methods in molecular biology (Clifton, N.J.) · 2015Review
- Immunohistochemical, genetic and epigenetic profiles of hereditary and triple negative breast cancers. Relevance in personalized medicine.American journal of cancer research · 2015Article
- Methylation of tumor suppressor genes is related with copy number aberrations in breast cancer.American journal of cancer research · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Due to the heterogeneous nature of breast cancer and the widespread use of single-gene studies, there is limited knowledge of multi-gene, locus-specific DNA methylation patterns in relation to molecular subtype and clinical features. We, therefore, quantified DNA methylation of 70 candidate gene loci in 140 breast tumors and matched normal tissues and determined associations with gene expression and tumor subtype. Using Sequenom's EpiTYPER platform, approximately 1,200 CpGs were interrogated and revealed six DNA methylation patterns in breast tumors relative to matched normal tissue. Differential methylation of several gene loci was observed within all molecular subtypes, while other patterns were subtype-dependent. Methylation of numerous gene loci was inversely correlated with gene expression, and in some cases, this correlation was only observed within specific breast tumor subtypes. Our findings were validated on a larger set of tumors and matched adjacent normal tissue from The Cancer Genome Atlas dataset, which utilized methylation data derived from both Illumina Infinium 27 and 450 k arrays. These findings highlight the need to control for subtype when interpreting DNA methylation results, and the importance of interrogating multiple CpGs across varied gene regions.
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