Login / Signup

Endometrial Cancer Molecular Risk Stratification is Equally Prognostic for Endometrioid Ovarian Carcinoma.

Pauline KrämerAline TalhoukMary Anne BrettDerek S ChiuEvan S CairnsDaniëlla A ScheunhageRory F L HammondDavid A FarnellTayyebeh M NazeranMarcel GrubeZhouchunyang XiaJanine SenzSamuel LeungLukas FeilJana PasternakKatherine DixonAndreas HartkopfSara BruckerFlorian HeitzAndreas du BoisPhilipp HarterFelix K F KommossHans-Peter SinnSabine HeubleinHans-Walter VollertRanjit ManchandaCornelis D de KroonHans W NijmanMarco de BruynEmily F ThompsonAli BashashatiJessica N McAlpineNaveena SinghSarah A CookAnnette StaeblerTjalling BosseMartin KoebelMichael S Anglesio
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2020)
EC-inspired molecular classification provides independent prognostic information in ENOC. Our findings support investigating molecular subtype-specific management recommendations for patients with ENOC; for example, subtypes may provide guidance when fertility-sparing treatment is desired. Similarities between ENOC and EC suggest that patients with ENOC may benefit from management strategies applied to EC and the opportunity to study those in umbrella trials.
Keyphrases
  • endometrial cancer
  • machine learning
  • single molecule
  • healthcare
  • systematic review
  • health information
  • combination therapy
  • social media
  • replacement therapy