Urine cell-based DNA methylation classifier for monitoring bladder cancer.

Antoine G van der HeijdenLourdes MengualMercedes Ingelmo-TorresJuan J LozanoCindy C M van Rijt-van de WesterloMontserrat BaixauliBogdan GeavleteCristian MoldoveanudCosmin EneColin P DinneyBogdan CzerniakJack A SchalkenLambertus A L M KiemeneyMaria J RibalJ Alfred WitjesAntonio Alcaraz

Published in: Clinical epigenetics (2018)

The combination of the three-gene methylation classifier and cytology results has high sensitivity and high negative predictive value in a real clinical scenario (PFBC). The proposed classifier is a useful test for predicting BC recurrence and decrease the number of cystoscopies in the follow-up of BC patients. If only patients with a positive combined classifier result would be cystoscopied, 36% of all cystoscopies can be prevented.

Keyphrases

dna methylation
genome wide
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
gene expression
prognostic factors
peritoneal dialysis
high grade
stem cells
cell therapy
patient reported outcomes
mesenchymal stem cells
genome wide identification
neural network