Epigenomics · 2019 · 34 citations · 33 references
MedicineCancer BiologyOncologyEpigeneticsEpigenomicsGenomicsCancer EpigeneticsCancer EpigenomicsCancer GenomicsDna MethylationDna Methylation ProfilingEpigenomic ProfilingBisulfite SequencingBreast Cancer EpigeneticsCluster AnalysisDna Methylation HeterogeneityGenome-wide Methylation ProfilingHierarchical Cluster AnalysisMethylome ProfilingReduced Representation Bisulfite Sequencing
Aim: To provide a breast cancer (BC) methylotype classification by genome-wide CpG islands bisulfite DNA sequencing. Materials & methods: XmaI-reduced representation bisulfite sequencing DNA methylation sequencing method was used to profile DNA methylation of 110 BC samples and 6 normal breast samples. Intrinsic DNA methylation BC subtypes were elicited by unsupervised hierarchical cluster analysis, and cluster-specific differentially methylated genes were identified. Results & conclusion: Overall, six distinct BC methylotypes were identified. BC cell lines constitute a separate group extremely highly methylated at the CpG islands. In turn, primary BC samples segregate into two major subtypes, highly and moderately methylated. Highly and moderately methylated superclusters, each incorporate three distinct epigenomic BC clusters with specific features, suggesting novel perspectives for personalized therapy.
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Gene Ontology: tool for the unification of biology
Michael Ashburner, Catherine A. Ball, Judith A. Blake et al. · Nature Genetics · 2000 · 44.6K citations · Full text
Comprehensive molecular portraits of human breast tumours
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker, Michael E. Mullins, Maggie C.U. Cheang et al. · Journal of Clinical Oncology · 2009 · 4.9K citations · Full text
Medicine, Bioinformatics, Oncology +16