An NRG Oncology/GOG study of molecular classification for risk prediction in endometrioid endometrial cancer.

Citation data:

Gynecologic oncology, ISSN: 1095-6859, Vol: 148, Issue: 1, Page: 174-180

Publication Year:
2018
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PMID:
29132872
DOI:
10.1016/j.ygyno.2017.10.037
Author(s):
Cosgrove, Casey M; Tritchler, David L; Cohn, David E; Mutch, David G; Rush, Craig M; Lankes, Heather A; Creasman, William T; Miller, David S; Ramirez, Nilsa C; Geller, Melissa A; Powell, Matthew A; Backes, Floor J; Landrum, Lisa M; Timmers, Cynthia; Suarez, Adrian A; Zaino, Richard J; Pearl, Michael L; DiSilvestro, Paul A; Lele, Shashikant B; Goodfellow, Paul J Show More Hide
Publisher(s):
Elsevier BV
Tags:
Medicine
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article description
The purpose of this study was to assess the prognostic significance of a simplified, clinically accessible classification system for endometrioid endometrial cancers combining Lynch syndrome screening and molecular risk stratification.