Project description:Histologic diagnosis of sellar masses can be challenging, particularly in rare neoplasms and tumors without definitive biomarkers. DNA methylation has recently emerged as a useful diagnostic tool. To illustrate the clinical utility of machine-learning-based DNA methylation classifiers, we report a rare case of primary sellar esthesioneuroblastoma diagnosed by DNA methylation classificiation but histologically mimicking a nonfunctioning pituitary adenoma.
Project description:Recently, it has been proposed that local DNA methylation profiles might be dictated by cis-regulatory DNA sequences that mainly operate via DNA-binding factors. Combining blood genome-wide DNA methylation profiles (Illumina Infinium MethylationEPIC BeadChiP), whole genome sequencing-derived single nucleotide variants (SNVs) along with predicted transcription factor binding site (TFBS), we were able to observe that rare regulatory variants, i.e, SNVs that disrupt TFBSs, are associated with DNA methylation at both local and, to a lesser extent, broader locations. Interestingly, we also observed that this directed DNA methylation can have consequences on genome regulation by altering expression levels of nearby genes.