,L1CAM

Andreas Kleppe1, Kristina Lindemann2, Wanja Kildal3

  • 1Institute for Cancer Genetics and Informatics, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway; Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway; Centre for Research-based Innovation Visual Intelligence, UiT The Arctic University of Norway, Tromsø, Norway.

Gynecologic oncology
|November 16, 2024
PubMed
概括

分子造型和L1CAM表达对于预测高风险子宫内膜癌复发和存活率至关重要. L1CAM是一个重要的预后因素,特别是在p53异常和NSMP组.