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Recent advances in the histological and molecular classification of endometrial stromal neoplasms.

Joana FerreiraAna FélixJochen K LennerzEsther Oliva
Published in: Virchows Archiv : an international journal of pathology (2018)
This review addresses known features and recent developments in the histological, immunohistochemical, and molecular characterization of endometrial stromal neoplasms. We discuss the spectrum of these tumors, from the benign endometrial stromal nodule to low-grade endometrial stromal sarcoma to uterine undifferentiated sarcomas with a special emphasis on the expanding group of high-grade stromal sarcomas, recently added to the 2014 WHO classification, not only discussing the well-established YWHAE-FAM22 tumors but also two new groups, presenting with BCOR alterations including those with BCOR tandem internal duplications or NTRK fusions. It is likely that this high-grade category of endometrial stromal tumors will expand as increasing molecular data is available.
Keyphrases
  • high grade
  • low grade
  • bone marrow
  • endometrial cancer
  • machine learning
  • deep learning
  • electronic health record
  • big data
  • single molecule
  • artificial intelligence
  • data analysis