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Implementation of endometrial cancer molecular subtyping into a hybrid community-academic practice.

Elizabeth O FerreiraAlexandra M SchefterAbby BrustadMolly E KleinMahmoud A KhalifaBoris WinterhoffAndrew Cook Nelson
Published in: American journal of clinical pathology (2024)
Our protocol identified 22 (14%) of 157 LR tumors that harbored incipient intermediate- to high-risk molecular aberrations in TP53, CTNNB1, or L1CAM. Moving forward, results of ongoing trials assessing adjuvant therapy decisions based on molecular classification are necessary to confirm protocol utility and identify appropriate modifications.
Keyphrases
  • endometrial cancer
  • healthcare
  • primary care
  • randomized controlled trial
  • machine learning
  • single molecule
  • mental health
  • deep learning
  • quality improvement
  • dna methylation
  • gene expression
  • medical students