DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features.

Maritza S MosellaThais S SabedotTiago C SilvaTathiane M MaltaFelipe Segato DezemKaram P AsmaroMichael WellsAbir MukherjeeLaila M PoissonJames SnyderAna C deCarvalhoTobias WalbertTodd AhoSteven KalkanisPaula C EliasSonir R AntoniniJack RockHoutan NoushmehrMargaret CastroAna Valeria Castro

Published in: Neuro-oncology (2021)

We identified and validated methylation signatures, mainly annotated in enhancer regions that distinguished PitNETs by distinct adenohypophyseal cell lineages and functional status. These signatures provide the groundwork to develop an unbiased approach to classifying PitNETs according to the most recent classification recommended by the 2017 WHO and to explore their biological and clinical relevance in these tumors.

Keyphrases

genome wide
dna methylation
gene expression
machine learning
single cell
copy number
deep learning
transcription factor
late onset
cell therapy
stem cells
binding protein
bone marrow