Abstract

Aromatase inhibitors are the major first-line treatment of estrogen receptor-positive breast cancer, but resistance to treatment is common. To date, no biomarkers have been validated clinically to guide subsequent therapy in these patients. In this study, we mapped the genome-wide chromatin-binding profiles of estrogen receptor α (ERα), along with the epigenetic modifications H3K4me3 and H3K27me3, that are responsible for determining gene transcription (n = 12). Differential binding patterns of ERα, H3K4me3, and H3K27me3 were enriched between patients with good or poor outcomes after aromatase inhibition. ERα and H3K27me3 patterns were validated in an additional independent set of breast cancer cases (n = 10). We coupled these patterns to array-based proximal gene expression and progression-free survival data derived from a further independent cohort of 72 aromatase inhibitor-treated patients. Through this approach, we determined that the ERα and H3K27me3 profiles predicted the treatment outcomes for first-line aromatase inhibitors. In contrast, the H3K4me3 pattern identified was not similarly informative. The classification potential of these genes was only partially preserved in a cohort of 101 patients who received first-line tamoxifen treatment, suggesting some treatment selectivity in patient classification.

Highlights

  • Breast cancer is the most frequently diagnosed malignancy among women worldwide, with annually around 1.4 million new cases and half a million patients who die from the disease each year [1]

  • Poor outcome patients were defined as patients with a time to progression (TTP) < 12 months, whereas good outcome patients were defined as patients with a TTP > 24 months (Supplementary Tables S1 and S2)

  • The number of estrogen receptor a (ERa)/chromatin–binding events greatly exceeds the amount of estradiol-responsive genes [11, 36], suggesting a high level of complexity in ERa

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Summary

Introduction

Breast cancer is the most frequently diagnosed malignancy among women worldwide, with annually around 1.4 million new cases and half a million patients who die from the disease each year [1]. Inhibition of ERa by endocrine therapy is a major treatment modality for these tumors, either by tamoxifen or the state-ofthe-art aromatase inhibitors. Many studies have focused on defining predictive markers for tamoxifen resistance, relatively little is known about the molecular determinants of aromatase inhibitor response. Such knowledge is Authors' Affiliations: 1Department of Medical Oncology, Erasmus University Medical Center, Cancer Institute, Rotterdam; Departments of 2Molecular Carcinogenesis and 3Molecular Pathology, 4Central Genomic Facility, the Netherlands Cancer Institute; 5Agendia NV, Amsterdam, the Netherlands; and 6Translational Cancer Research Unit, Laboratory of Pathology, Antwerp University/Oncology Centre, GZA Hospitals StAugustinus, Antwerp, Belgium.

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