Improving Risk Assessment for Metastatic Disease in Endometrioid Endometrial Cancer Patients Using Molecular and Clinical Features: An NRG Oncology/Gynecologic Oncology Group Study

Overview

cited authors

Casablanca, Yovanni; Wang, Guisong; Lankes, Heather A.; Tian, Chunqiao; Bateman, Nicholas W.; Miller, Caela R.; Chappell, Nicole P.; Havrilesky, Laura J.; Wallace, Amy Hooks; Ramirez, Nilsa C.; Miller, David S.; Oliver, Julie; Mitchell, Dave; Litzi, Tracy; Blanton, Brian E.; Lowery, William J.; Risinger, John, I; Hamilton, Chad A.; Phippen, Neil T.; Conrads, Thomas P.; Mutch, David; Moxley, Katherine; Lee, Roger B.; Backes, Floor; Birrer, Michael J.; Darcy, Kathleen M.; Maxwell, George Larry

authors

Phippen, Neil, MD, FACOG

Publication Date

September 1, 2022

webpage

Web of Science

published in

CANCERS Journal

Research

keywords

endometrial cancer
metastasis
molecular classifier
prediction
risk assessment

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