医学
分级(工程)
子宫内膜癌
肿瘤科
分子病理学
辅助化疗
内科学
生物标志物
病理
癌症
生物信息学
基因
生物化学
化学
土木工程
生物
乳腺癌
工程类
作者
Joshua Li,Philip P.C. Ip
标识
DOI:10.1016/j.path.2022.02.006
摘要
The prognosis of endometrial cancers has historically been determined by the evaluation of histologic typing, grading, and staging. Recently, molecular classification, pioneered by the 4 prognostic categories from The Cancer Genome Atlas Research Network, has been shown to independently predict the outcome, correlate with biomarker expression, and predict response to adjuvant chemotherapy. In modern-day pathology practice, it has become necessary to integrate the time-honored prognostic pathologic features with molecular classification to optimize patient management. In this review, the significance of the molecular classification of endometrioid carcinomas, the application of practical diagnostic surrogate algorithms, and interpretation of test results will be addressed. Histologic features and theragnostic biomarkers will also be discussed in relation to the molecular subtypes of endometrial cancers.
科研通智能强力驱动
Strongly Powered by AbleSci AI