AI Article Synopsis
- The study focused on classifying breast cancer (BC) methylotypes using advanced DNA sequencing techniques to analyze DNA methylation in 110 BC samples and 6 normal breast samples.
- Researchers found six distinct BC methylotypes through unsupervised analysis and identified specific genes that show different methylation patterns across these types.
- The results suggest that BC can be categorized into highly and moderately methylated subtypes, indicating potential new strategies for personalized treatment based on these epigenomic features.
Article Abstract
To provide a breast cancer (BC) methylotype classification by genome-wide CpG islands bisulfite DNA sequencing. 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. 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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| http://dx.doi.org/10.2217/epi-2018-0213 | DOI Listing |
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