Abstract

IntroductionBreast cancer is a heterogeneous disease, with several intrinsic subtypes differing by hormone receptor (HR) status, molecular profiles, and prognosis. However, the role of DNA methylation in breast cancer development and progression and its relationship with the intrinsic tumor subtypes are not fully understood.MethodsA microarray targeting promoters of cancer-related genes was used to evaluate DNA methylation at 935 CpG sites in 517 breast tumors from the Carolina Breast Cancer Study, a population-based study of invasive breast cancer.ResultsConsensus clustering using methylation (β) values for the 167 most variant CpG loci defined four clusters differing most distinctly in HR status, intrinsic subtype (luminal versus basal-like), and p53 mutation status. Supervised analyses for HR status, subtype, and p53 status identified 266 differentially methylated CpG loci with considerable overlap. Genes relatively hypermethylated in HR+, luminal A, or p53 wild-type breast cancers included FABP3, FGF2, FZD9, GAS7, HDAC9, HOXA11, MME, PAX6, POMC, PTGS2, RASSF1, RBP1, and SCGB3A1, whereas those more highly methylated in HR-, basal-like, or p53 mutant tumors included BCR, C4B, DAB2IP, MEST, RARA, SEPT5, TFF1, THY1, and SERPINA5. Clustering also defined a hypermethylated luminal-enriched tumor cluster 3 that gene ontology analysis revealed to be enriched for homeobox and other developmental genes (ASCL2, DLK1, EYA4, GAS7, HOXA5, HOXA9, HOXB13, IHH, IPF1, ISL1, PAX6, TBX1, SOX1, and SOX17). Although basal-enriched cluster 2 showed worse short-term survival, the luminal-enriched cluster 3 showed worse long-term survival but was not independently prognostic in multivariate Cox proportional hazard analysis, likely due to the mostly early stage cases in this dataset.ConclusionsThis study demonstrates that epigenetic patterns are strongly associated with HR status, subtype, and p53 mutation status and may show heterogeneity within tumor subclass. Among HR+ breast tumors, a subset exhibiting a gene signature characterized by hypermethylation of developmental genes and poorer clinicopathologic features may have prognostic value and requires further study. Genes differentially methylated between clinically important tumor subsets have roles in differentiation, development, and tumor growth and may be critical to establishing and maintaining tumor phenotypes and clinical outcomes.Electronic supplementary materialThe online version of this article (doi:10.1186/s13058-014-0450-6) contains supplementary material, which is available to authorized users.

Highlights

  • Breast cancer is a heterogeneous disease, with several intrinsic subtypes differing by hormone receptor (HR) status, molecular profiles, and prognosis

  • We describe the results of this DNA methylation profiling analysis, focusing on the identification of tumor subclasses and the differentially methylated genes distinguishing them, survival differences among these tumor clusters, and characterization of hypermethylated breast tumors that may be manifestations of the cytosine preceding a guanosine (CpG) island methylator phenotype (CIMP) originally observed in colorectal cancer [14]

  • Identification of genes differentially methylated according to clinicopathologic characteristics In addition to unsupervised analysis, we looked for patterns that varied as a function of specific clinical characteristics across all 935 CpG loci

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Summary

Introduction

Breast cancer is a heterogeneous disease, with several intrinsic subtypes differing by hormone receptor (HR) status, molecular profiles, and prognosis. Basal-like tumors exhibit the highest and the luminal A tumors exhibit the lowest prevalence of p53 mutations [7] These intrinsic subtypes differ in incidence by race and menopausal status [7] and show differences in risk factors [8], outcomes [7,9], and responsiveness to chemotherapy [10]. Genetic alterations such as mutations, rearrangements, and copy number changes are established contributors to carcinogenesis, epigenetic alterations, including DNA methylation, play an integral role. Because alterations in DNA methylation often occur early in cancer development, candidate methylation markers may be valuable for early, specific cancer detection or for predicting clinical response to therapeutic agents or cancer prognosis

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