Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
Division of Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy.
Clin Cancer Res. 2024 Jul 15;30(14):2884-2894. doi: 10.1158/1078-0432.CCR-23-4020.
Adjuvant endocrine therapy (ET) represents the standard of care for almost all hormone receptor (HR)+/HER2- breast cancers, and different agents and durations are currently available. In this context, the tailoring and optimization of adjuvant endocrine treatment by reducing unnecessary toxic treatment while taking into account the biological heterogeneity of HR+/HER2- breast cancer represents a clinical priority. There is therefore a significant need for the integration of biological biomarkers in the choice of adjuvant ET beyond currently used clinicopathological characteristics. Several gene expression assays have been developed to identify patients with HR+/HER2- breast cancer who will not derive benefit from the addition of adjuvant chemotherapy. By enhancing risk stratification and predicting therapeutic response, genomic assays have also shown to be a promising tool for optimizing endocrine treatment decisions. In this study, we review evidence supporting the use of most common commercially available gene expression assays [Oncotype DX, MammaPrint, Breast Cancer Index (BCI), Prosigna, and EndoPredict] in tailoring adjuvant ET. Available data on the use of genomic tests to inform extended adjuvant treatment choice based on the risk of late relapse and on the estimated benefit of a prolonged ET are discussed. Moreover, preliminary evidence regarding the use of genomic assays to inform de-escalation of endocrine treatment, such as shorter durations or omission, for low-risk patients is reviewed. Overall, gene expression assays are emerging as potential tools to further personalize adjuvant treatment for patients with HR+/HER2- breast cancers.
辅助内分泌治疗(ET)是几乎所有激素受体(HR)+/HER2-乳腺癌的标准治疗方法,目前有不同的药物和治疗时长可供选择。在这种情况下,通过考虑 HR+/HER2-乳腺癌的生物学异质性,调整和优化辅助内分泌治疗,减少不必要的毒性治疗,这是临床的重点。因此,除了目前使用的临床病理特征外,在选择辅助 ET 时,需要将生物标志物整合到其中。已经开发了几种基因表达检测方法,以确定不会从辅助化疗中获益的 HR+/HER2-乳腺癌患者。通过增强风险分层和预测治疗反应,基因组检测也已成为优化内分泌治疗决策的有前途的工具。在这项研究中,我们回顾了支持使用最常见的商业上可用的基因表达检测(Oncotype DX、MammaPrint、Breast Cancer Index(BCI)、Prosigna 和 EndoPredict)来调整辅助 ET 的证据。讨论了基于晚期复发风险和延长 ET 估计获益来使用基因组测试来告知扩展辅助治疗选择的可用数据。此外,还回顾了关于使用基因组检测来告知低风险患者降低内分泌治疗强度(如缩短治疗时长或省略)的初步证据。总的来说,基因表达检测作为一种潜在的工具,正在为 HR+/HER2-乳腺癌患者的辅助治疗个体化提供新的可能。
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