ArticleBreast cancer research : BCR2010
DNA methylation epigenotypes in breast cancer molecular subtypes.
Article in Breast cancer research : BCR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.
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84 citing papers in PubMed, 186 citations in OpenAlex.
- Combination Epigenetic Therapy in Advanced Breast Cancer with 5-Azacitidine and Entinostat: A Phase II National Cancer Institute/Stand Up to Cancer Study.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Trial
- Distinct biological and molecular characteristics of breast cancer in young women: a narrative review.Annals of medicine and surgery (2012) · 2026Review
- Mapping Non-Coding Epimutations in Breast Cancer: Advancing Epigenetics Towards Precision Medicine.Sub-cellular biochemistry · 2026Review
- Field cancerization, accelerated aging, and immunosuppression: the rapid rise of hormone-sensitive and early-onset breast cancer.NPJ breast cancer · 2025Review
- Review
- A review of the use of tumour DNA methylation for breast cancer subtyping and prediction of outcomes.Clinical epigenetics · 2025Review
- DNA Methylation and Transcript Variant Analysis ofInternational journal of molecular sciences · 2025Article
- Selective Estrogen Receptor Modulators' (SERMs) Influence onInternational journal of molecular sciences · 2024Article
- Methylation marks in blood DNA reveal breast cancer risk in patients fulfilling hereditary disease criteria.NPJ precision oncology · 2024Article
- Cutoff estimation and construction of their confidence intervals for continuous biomarkers under ternary umbrella and tree stochastic ordering settings.Statistics in medicine · 2024Article
- Aberrant DNA Methylation, Expression, and Occurrence of Transcript Variants of the ABC TransporterCells · 2023Article
- meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles.BMC bioinformatics · 2023Article
- Recent advances in understanding DNA methylation of prostate cancer.Frontiers in oncology · 2023Review
- Classification of Subgroups with Immune Characteristics Based on DNA Methylation in Luminal Breast Cancer.International journal of molecular sciences · 2022Article
- DNA methylation changes in response to neoadjuvant chemotherapy are associated with breast cancer survival.Breast cancer research : BCR · 2022Article
- The epigenetics of breast cancer - Opportunities for diagnostics, risk stratification and therapy.Epigenetics · 2022Article
- A Novel Prognostic Four-Gene Signature of Breast Cancer Identified by Integrated Bioinformatics Analysis.Disease markers · 2022Article
- One-carbon metabolism and global DNA methylation in mothers of individuals with Down syndrome.Human cell · 2021Article
- Gene-associated methylation status of ST14 as a predictor of survival and hormone receptor positivity in breast Cancer.BMC cancer · 2021Article
- Prediction of Disease Genes Based on Stage-Specific Gene Regulatory Networks in Breast Cancer.Frontiers in genetics · 2021Article
24 more citing papers are in PubMed but not listed here.
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Authors and funding
16 authors at 9 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIdentification of gene expression based breast cancer subtypes is considered as a critical means of prognostication. Genetic mutations along with epigenetic alterations contribute to gene expression changes occurring in breast cancer. So far, these epigenetic contributions to sporadic breast cancer subtypes have not been well characterized, and there is only a limited understanding of the epigenetic mechanisms affected in those particular breast cancer subtypes. The present study was undertaken to dissect the breast cancer methylome and deliver specific epigenotypes associated with particular breast cancer subtypes.
methodsUsing a microarray approach we analyzed DNA methylation in regulatory regions of 806 cancer related genes in 28 breast cancer paired samples. We subsequently performed substantial technical and biological validation by Pyrosequencing, investigating the top qualifying 19 CpG regions in independent cohorts encompassing 47 basal-like, 44 ERBB2+ overexpressing, 48 luminal A and 48 luminal B paired breast cancer/adjacent tissues. Using all-subset selection method, we identified the most subtype predictive methylation profiles in multivariable logistic regression analysis.
resultsThe approach efficiently recognized 15 individual CpG loci differentially methylated in breast cancer tumor subtypes. We further identify novel subtype specific epigenotypes which clearly demonstrate the differences in the methylation profiles of basal-like and human epidermal growth factor 2 (HER2)-overexpressing tumors.
conclusionsOur results provide evidence that well defined DNA methylation profiles enables breast cancer subtype prediction and support the utilization of this biomarker for prognostication and therapeutic stratification of patients with breast cancer.
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