医学
子宫内膜癌
危险分层
分类
肿瘤科
辅助治疗
临床试验
精密医学
内科学
癌症
生物信息学
病理
人工智能
计算机科学
生物
作者
Amy Jamieson,Lisa Barroilhet,Jessica N. McAlpine
出处
期刊:Cancer
[Wiley]
日期:2022-06-03
卷期号:128 (15): 2853-2857
被引量:15
摘要
Endometrial carcinoma (EC) classification and risk stratification have undergone a global transformation in the last decade, shifting from a reliance on poorly reproducible histomorphological parameters such as grade and histotype, toward a molecular classification that is consistent and biologically informative. Molecular classification enables reliable categorization of ECs, provides prognostic information, and is now beginning to drive clinical management, including surgery and adjuvant therapy. Within this framework, we now have the ability to further refine both the prognostic and predictive value of molecular classification. As we move toward the routine implementation of this classification system as a stratification tool for research, clinical trials, and patient care, it is imperative that access to these tests be equitable. Furthermore, continued education will be critical for patients and providers to understand the value that this molecular information provides.
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