Open AccessDevelopment of prediction models for lymph node metastasis in endometrioid endometrial carcinoma
Author(s) -
Hege Fredriksen Berg,
Ju Zhang,
Madeleine Myrvold,
Kristine Eldevik Fasmer,
Mari K. Halle,
Erling A. Høivik,
Shan N. Westin,
Jone Trovik,
Ingfrid S. Haldorsen,
Gordon B. Mills,
Camilla Krakstad,
Henrica M.J. Werner
Publication year - 2020
Publication title -
british journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.833
H-Index - 236
eISSN - 1532-1827
pISSN - 0007-0920
DOI - 10.1038/s41416-020-0745-6
Subject(s) - lymphadenectomy , endometrial cancer , metastasis , cyclin d1 , medicine , oncology , carcinoma , cancer , lymph node , downregulation and upregulation , cancer research , pathology , biology , cell cycle , gene , biochemistry
In endometrioid endometrial cancer (EEC), current clinical algorithms do not accurately predict patients with lymph node metastasis (LNM), leading to both under- and over-treatment. We aimed to develop models that integrate protein data with clinical information to identify patients requiring more aggressive surgery, including lymphadenectomy.