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A smoking score based on methylation profile was constructed.
Unsupervised hierarchical cluster analysis based on methylation profile of this panel of genes demonstrated four main groups.
Using a subset of the 3000 most variable probes, unsupervised hierarchical cluster analysis highlighted 4 distinct subgroups based on methylation profile.
Cluster analysis based on methylation profile divided our DCIS cohort into four groups, which were phenotypically distinguished by nuclear grade, and in particular, the high-methylation cluster (cluster 4), being associated with additional aggressive phenotypic features including negative hormone receptor status, HER2 amplification, and non-luminal intrinsic subtype.
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These do not demonstrate a consistent pattern, suggesting around 3-4 sub-types based on mRNA profiling but a larger number of sub-types based on methylation profiling.
Nevertheless, while both methods had similar NPV, the empirical approach showed a better representation and PPV suggesting is the better predictor for tumor relatedness based on methylation profiling.
Comparisons between EcoRI/MspI and EcoRI/HpaII profiles for each sample allowed us to identify non-methylated, methylated and hemimethylated loci based on methylation sensitivities of both isoschizomers [32].
Two additional filters are based on methylation rates.
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).
Among the studies quoted above, those including more than 400 ALL patients have shown that certain genetic subtypes maybe distinguished based on their methylation profile [25] while others have focused on specific subgroups of ALL such as MLL leukemia, demonstrating that hypermethylation is associated with a worse prognosis [24].
Furthermore, we revealed that hip OA samples can be separated into 2 groups based on their methylation profile.
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