Queensland Centre for Gynaecological Cancer Research, The University of Queensland, Brisbane, Queensland, Australia
Department of Gynaecological Oncology, UCD School of Medicine, Mater Misericordiae University Hospital, Dublin, Ireland.
Int J Gynecol Cancer. 2020 Nov;30(11):1811-1823. doi: 10.1136/ijgc-2020-001309. Epub 2020 May 6.
This review examines how response rates to progestin treatment of low-grade endometrial cancer can be improved. In addition to providing a brief overview of the pathogenesis of low-grade endometrial cancer, we discuss limitations in the current classification of endometrial cancer and how stratification may be refined using molecular markers to reproducibly identify 'low-risk' cancers which may represent the best candidates for progestin therapy. We also discuss constraints in current approaches to progestin treatment of low-grade endometrial cancer and perform a systematic review of predictive biomarkers.
PubMed, ClinicalTrials.gov, and Cochrane Library were searched for studies reporting pre-treatment biomarkers associated with outcome in women with low-grade endometrial cancer or endometrial hyperplasia with an intact uterus who received progestin treatment. Studies of fewer than 50 women were excluded. The study protocol was registered in PROSPERO (ID 152374). A descriptive synthesis of pre-treatment predictive biomarkers reported in the included studies was conducted.
Of 1908 records reviewed, 19 studies were included. Clinical features such as age or body mass index cannot predict progestin response. Lesions defined as 'low-risk' by FIGO criteria (stage 1A, grade 1) can respond well; however, the reproducibility and prognostic ability of the current histopathological classification system is suboptimal. Molecular markers can be reproducibly assessed, have been validated as prognostic biomarkers, and may inform patient selection for progestin treatment. DNA polymerase epsilon (POLE)-ultramutated tumors and a subset of p53 wild-type or DNA mismatch repair (MMR)-deficient tumors with 'low-risk' features (eg, progesterone and estrogen receptor-positive) may have improved response rates, though this needs to be validated.
Molecular markers can identify cases which may be candidates for progestin treatment. More work is needed to validate these biomarkers and potentially identify new ones. Predictive biomarkers are anticipated to inform future research into progestin treatment of low-grade endometrial cancer and ultimately improve patient outcomes.
本综述旨在探讨如何提高孕激素治疗低级别子宫内膜癌的反应率。除了简要概述低级别子宫内膜癌的发病机制外,我们还讨论了当前子宫内膜癌分类的局限性,以及如何使用分子标志物对其进行分层,以重现性地识别可能是孕激素治疗最佳候选者的“低风险”癌症。我们还讨论了当前孕激素治疗低级别子宫内膜癌方法的局限性,并对预测性生物标志物进行了系统评价。
在 PubMed、ClinicalTrials.gov 和 Cochrane Library 中检索了报道与接受孕激素治疗的低级别子宫内膜癌或有完整子宫的子宫内膜增生患者的治疗前生物标志物与结局相关的研究。排除了纳入研究少于 50 名患者的研究。本研究方案已在 PROSPERO(ID 152374)中注册。对纳入研究中报道的治疗前预测性生物标志物进行了描述性综合分析。
在综述的 1908 条记录中,有 19 项研究被纳入。临床特征(如年龄或体重指数)不能预测孕激素反应。FIGO 标准定义为“低风险”的病变(IA 期,1 级)可以很好地反应;然而,当前的组织病理学分类系统的可重复性和预后能力并不理想。分子标志物可以进行可重复评估,已被验证为预后生物标志物,并且可能为孕激素治疗的患者选择提供信息。DNA 聚合酶 epsilon(POLE)-超突变肿瘤和一组 p53 野生型或 DNA 错配修复(MMR)缺陷肿瘤,具有“低风险”特征(如孕激素和雌激素受体阳性),可能具有更好的反应率,但这需要验证。
分子标志物可以识别可能是孕激素治疗候选者的病例。需要进一步验证这些生物标志物并可能发现新的生物标志物。预测性生物标志物有望为孕激素治疗低级别子宫内膜癌的未来研究提供信息,并最终改善患者结局。