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[Endometrial carcinoma: molecular classification in routine pathology].

Udo SieboltsBirgid Schömig-MarkiefkaJanna Siemanowski-HrachSabine Merkelbach-Bruse
Published in: Pathologie (Heidelberg, Germany) (2024)
The molecular classification of endometrial carcinoma defines four main groups: polymerase‑ɛ(PolE) gene mutated, microsatellite unstable (MSI), p53 abnormal tumors and tumors with no specific molecular profile (NSMP). This classification provides significant insights into the prognosis and therapeutic decisions. Each group exhibits unique genetic profiles identified through immunohistochemistry and molecular diagnostics, enabling personalized treatment. The identification of these molecular signatures necessitates precise analytical methods, selected based on the local circumstances at each site. The approach to molecular classification highlights the critical role of pathology in the diagnosis and emphasizes the necessity of collaboration between the clinic and pathology.
Keyphrases
  • machine learning
  • deep learning
  • single molecule
  • genome wide
  • primary care
  • transcription factor
  • clinical practice
  • mass spectrometry