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微卫星不稳定性在妇科癌症(子宫内膜癌和卵巢癌)中的预测和预后价值

Predictive and Prognostic Value of Microsatellite Instability in Gynecologic Cancer (Endometrial and Ovarian).

作者信息

Evrard Camille, Alexandre Jérôme

机构信息

Service d'Oncologie Médicale, CHU de Poitiers, 86021 Poitiers, France.

Service d'Oncologie Médicale, AP-HP, CARPEM, Cochin-Hospital, Université de Paris, 75014 Paris, France.

出版信息

Cancers (Basel). 2021 May 18;13(10):2434. doi: 10.3390/cancers13102434.

Abstract

For endometrial cancer, a new classification is now available from ESMO, ESGO, and ESTRO based on clinical and molecular characteristics to determine adjuvant therapy. The contribution of molecular biology is major for this pathology mainly by the intermediary of deficient mismatch repair/microsatellite instability. Detection techniques for this phenotype have many peculiarities in gynecologic cancers (endometrial and ovarian) because it has been initially validated in colorectal cancer only. Endometrial cancer is the most common tumor with deficient mismatch repair, which is an important prognostic factor and a predictor of the benefit of adjuvant treatments. Concerning advanced stages, this phenotype is a theragnostic marker for using immunotherapy. Among ovarian cancer, microsatellite instability is less described in literature but exists, particularly in endometrioid type ovarian cancer. This review aims to provide an overview of the publications concerning deficient mismatch repair/microsatellite instability in endometrial and ovarian cancers, detection techniques, and clinical implications of these molecular characteristics.

摘要

对于子宫内膜癌,欧洲肿瘤内科学会(ESMO)、欧洲妇科肿瘤学会(ESGO)和欧洲放射肿瘤学会(ESTRO)现已根据临床和分子特征发布了一种新的分类方法,以确定辅助治疗方案。分子生物学对这种病理类型的贡献很大,主要是通过错配修复缺陷/微卫星不稳定性来实现的。这种表型的检测技术在妇科癌症(子宫内膜癌和卵巢癌)中有许多独特之处,因为它最初仅在结直肠癌中得到验证。子宫内膜癌是错配修复缺陷最常见的肿瘤,这是一个重要的预后因素和辅助治疗获益的预测指标。对于晚期病例,这种表型是使用免疫疗法的治疗诊断标志物。在卵巢癌中,微卫星不稳定性在文献中的描述较少,但确实存在,尤其是在子宫内膜样型卵巢癌中。本综述旨在概述有关子宫内膜癌和卵巢癌中错配修复缺陷/微卫星不稳定性的出版物、检测技术以及这些分子特征的临床意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d46/8157359/44434de34701/cancers-13-02434-g001.jpg

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