Abstract 4295: Androgen receptor expression in normal breast TDLUs and subsequent breast cancer risk

Author(s):  
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Stuart Schnitt ◽  
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2018 ◽  
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2017 ◽  
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Maximiliano Cassilha Kneubil ◽  
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Rafael Grochot ◽  
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Oncotarget ◽  
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2020 ◽  
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pp. 182 ◽  
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Yaewon Yang ◽  
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Kyung-Hun Lee ◽  
Han Suk Ryu ◽  
Tae-Yong Kim ◽  
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Cancers ◽  
2020 ◽  
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Elissar Issa ◽  
Annick Michaud ◽  
Sue-Ling Chang ◽  
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Differential DNA methylation is a potential marker of breast cancer risk. Few studies have investigated DNA methylation changes in normal breast tissue and were largely confounded by cancer field effects. To detect methylation changes in normal breast epithelium that are causally associated with breast cancer occurrence, we used a nested case–control study design based on a prospective cohort of patients diagnosed with a primary invasive hormone receptor-positive breast cancer. Twenty patients diagnosed with a contralateral breast cancer (CBC) were matched (1:1) with 20 patients who did not develop a CBC on relevant risk factors. Differentially methylated Cytosine-phosphate-Guanines (CpGs) and regions in normal breast epithelium were identified using an epigenome-wide DNA methylation assay and robust linear regressions. Analyses were replicated in two independent sets of normal breast tissue and blood. We identified 7315 CpGs (FDR < 0.05), 52 passing strict Bonferroni correction (p < 1.22 × 10−7) and 43 mapping to known genes involved in metabolic diseases with significant enrichment (p < 0.01) of pathways involving fatty acids metabolic processes. Four differentially methylated genes were detected in both site-specific and regions analyses (LHX2, TFAP2B, JAKMIP1, SEPT9), and three genes overlapped all three datasets (POM121L2, KCNQ1, CLEC4C). Once validated, the seven differentially methylated genes distinguishing women who developed and who did not develop a sporadic breast cancer could be used to enhance breast cancer risk-stratification, and allow implementation of targeted screening and preventive strategies that would ultimately improve breast cancer prognosis.


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