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Epigenetic Profiling For The Molecular Classification Of Metastatic Brain Tumors., Javier I Orozco, Theo A Knijnenburg, Ayla O Manughian-Peter, Matthew P Salomon, Garni Barkhoudarian, John R Jalas, James S Wilmott, Parvinder Hothi, Xiaowen Wang, Yuki Takasumi, Michael E Buckland, John F Thompson, Georgina V Long, Charles S Cobbs, Ilya Shmulevich, Daniel F Kelly, Richard A Scolyer, Dave S B Hoon, Diego M Marzese

Daniel F. Kelly, MD

Optimal treatment of brain metastases is often hindered by limitations in diagnostic capabilities. To meet this challenge, here we profile DNA methylomes of the three most frequent types of brain metastases: melanoma, breast, and lung cancers (n = 96). Using supervised machine learning and integration of DNA methylomes from normal, primary, and metastatic tumor specimens (n = 1860), we unravel epigenetic signatures specific to each type of metastatic brain tumor and constructed a three-step DNA methylation-based classifier (BrainMETH) that categorizes brain metastases according to the tissue of origin and therapeutically relevant subtypes. BrainMETH predictions are supported by routine histopathologic evaluation. …