Molecular analysis for ovarian cancer detection in patient-friendly samples.

Birgit M M Wever Mirte SchaafsmaMaaike C G BleekerYara van den BurgtRianne van den HelderChristianne A R LokFrederike DijkYmke van der PolFlorent MouliereNorbert MoldovanNienke E van TrommelRenske D M Steenbergen

Published in: Communications medicine (2024)

Our study reveals increased methylation levels of ovarian cancer-associated genes and copy number aberrations in the urine of ovarian cancer patients. Our findings support continued research into urine biomarkers for ovarian cancer detection and highlight the importance of including benign ovarian masses in future studies to develop a clinically useful test.

Keyphrases

copy number
genome wide
mitochondrial dna
end stage renal disease
dna methylation
chronic kidney disease
newly diagnosed
ejection fraction
loop mediated isothermal amplification
peritoneal dialysis
prognostic factors
case report
real time pcr
magnetic resonance imaging
gene expression
current status
quantum dots