DNA methylation-based profiling of uterine neoplasms: a novel tool to improve gynecologic cancer diagnostics.

Felix K F KommossDamian StichelDaniel SchrimpfMark KriegsmannBasile Tessier-CloutierAline TalhoukJessica N McAlpineKenneth T E ChangDominik SturmStefan M PfisterLaura Romero-PérezThomas KirchnerThomas G P GrünewaldRolf BusleiHans-Peter SinnGunhild MechtersheimerPeter SchirmacherDietmar SchmidtHans-Anton LehrFelix SahmDavid G HuntsmanC Blake GilksFriedrich KommossAndreas von DeimlingChristian Kölsche

Published in: Journal of cancer research and clinical oncology (2019)

Herein, we describe distinct DNA methylation signatures in uterine neoplasms and show that array-based DNA methylation analysis holds promise as an ancillary tool to further characterize uterine neoplasms, especially in cases which are diagnostically challenging by conventional techniques.

Keyphrases

dna methylation
genome wide
gene expression
papillary thyroid
copy number
high resolution
high throughput
squamous cell
machine learning
endometrial cancer
deep learning