ArticleBreast cancer research : BCR2014
Methylation profiling of ductal carcinoma in situ and its relationship to histopathological features.
Article in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Pooled it
- Quantitative assessment of the association between APC promoter methylation and breast cancer.Oncotarget · 2016Pooled it
- Pooled it
- Effects of Helicobacter pylori eradication on the development of metachronous gastric cancer after endoscopic treatment: analysis of molecular alterations by a randomised controlled trial.British journal of cancer · 2016Trial
- T‑cadherin and its impact on human diseases (Review).Molecular medicine reports · 2026Review
- Droplet digital PCR analysis of CDH13 methylation status in Slovak women with invasive ductal breast cancer.Scientific reports · 2024Article
- Methylation Profiles of BRCA1, RASSF1A and GSTP1 in Vietnamese Women with Breast CancerAsian Pacific journal of cancer prevention : APJCP · 2018Article
- Article
- Breast ductal carcinoma in situ carry mutational driver events representative of invasive breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017Article
- Ductal CarcinomaFrontiers in oncology · 2017Review
- Aberrant promoter methylation of cancer-related genes in human breast cancer.Oncology letters · 2016Article
- Methylation in promoter regions of PITX2 and RASSF1A genes in association with clinicopathological features in breast cancer patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Article
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDNA methylation is a well-studied biomarker in invasive breast cancer, but its role in ductal carcinoma in situ (DCIS) is less well characterized. The aims of this study are to assess the methylation profile in DCIS for a panel of well-characterized genes that are frequently methylated in breast cancer, to investigate the relationship of methylation with pathological features, and to perform a proof-of-principle study to evaluate the practicality of methylation as a biomarker in diagnostic DCIS material.
methodsPromoter CpG island methylation for a panel of 11 breast cancer-related genes was performed by methylation-sensitive high resolution melting (MS-HRM). Formalin-fixed, paraffin-embedded (FFPE) biopsies from 72 samples of pure DCIS (DCIS occurring in the absence of synchronous invasive carcinoma), 10 samples of mixed DCIS (DCIS adjacent to invasive carcinoma), and 18 samples of normal breast epithelium adjacent to a DCIS lesion were micro-dissected prior to DNA extraction.
resultsMethylation was seen for all the tested genes except BRCA1. RASSF1A was the most frequently methylated gene (90% of DCIS samples) and its methylation was associated with comedo necrosis (p = 0.018). Cluster analysis based on the methylation profile revealed four groups, the highly methylated cluster being significantly associated with high nuclear grade, HER2 amplification, negative estrogen receptor (ER) α status, and negative progesterone receptor (PgR) status, (p = 0.038, p = 0.018, p <0.001, p = 0.001, respectively). Methylation of APC (p = 0.017), CDH13 (p = 0.017), and RARβ (p <0.001) was associated with negative ERα status. Methylation of CDH13 (p <0.001), and RARβ (p = 0.001) was associated with negative PgR status. Methylation of APC (p = 0.013) and CDH13 (p = 0.026) was associated with high nuclear grade. Methylation of CDH13 (p = 0.009), and RARβ (p = 0.042) was associated with HER2-amplification.
conclusionsDNA methylation can be assessed in FFPE-derived samples using suitable methodologies. Methylation of a panel of genes that are known to be methylated in invasive breast cancer was able to classify DCIS into distinct groups and was differentially associated with phenotypic features in DCIS.
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