AID/APOBEC-network reconstruction identifies pathways associated with survival in ovarian cancer.

Martin SvobodaAnastasia MeshcheryakovaGeorg HeinzeMarkus JaritzDietmar PilsDan Cacsire Castillo-TongGudrun HagerTheresia ThalhammerErika Jensen-JarolimPeter BirnerIoana BraicuJalid SehouliSandrina LambrechtsIgnace VergoteSven MahnerPhilip ZimmermannRobert ZeillingerAnastasia Meshcheryakova

Published in: BMC genomics (2016)

The herein study is, to our knowledge, the first one linking expression of entire AID/APOBECs and interacting genes with clinical outcome with respect to survival of cancer patients. Overall, data propose a novel AID/APOBEC-derived survival model for patient risk assessment and reconstitute mapping to molecular pathways. The established study algorithm can be applied further for any biologically relevant signature and any type of diseased tissue.

Keyphrases

risk assessment
genome wide
poor prognosis
machine learning
gene expression
high resolution
heavy metals
dna methylation
mass spectrometry
long non coding rna