Ma Cynthia X, Ellis Matthew J
Department of Oncology, Siteman Comprehensive Cancer Center, Washington University School of Medicine, St Louis, MO 63110, USA.
Semin Oncol. 2006 Dec;33(6):650-6. doi: 10.1053/j.seminoncol.2006.08.013.
Patients with locally advanced breast cancer are frequently treated with preoperative (neoadjuvant) systemic therapy to downstage the tumor and improve surgical outcomes. The conventional approach has been to administer chemotherapy but for estrogen receptor-positive (ER+) tumors endocrine therapy is a logical alternative. Neoadjuvant endocrine therapy was initially investigated in older or medically frail individuals who were poor candidates for cytotoxic drugs. However, indirect comparisons suggest that preoperative endocrine therapy with an aromatase inhibitor promotes breast conservation probably as frequently as chemotherapy. As a result, primary systemic therapy with an aromatase inhibitor is now being explored in a younger, healthier population. A key advance would be the development of predictive biomarkers so that this treatment can be more confidently incorporated into routine clinical practice. Interestingly, it seems logical that such a test also would identify patients with highly endocrine therapy-responsive tumors that do not derive much benefit from adjuvant chemotherapy. The American College of Surgeons Oncology Group and the Central Clinical Trials Unit recently activated a neoadjuvant aromatase inhibitor trial with these aims in mind. In this review, we outline the rationale for preoperative endocrine therapy, and consider predictive models for endocrine therapy responsiveness in this setting.
局部晚期乳腺癌患者常接受术前(新辅助)全身治疗,以缩小肿瘤分期并改善手术效果。传统方法是进行化疗,但对于雌激素受体阳性(ER+)肿瘤,内分泌治疗是一种合理的替代方案。新辅助内分泌治疗最初是在年龄较大或身体虚弱、不适合使用细胞毒性药物的患者中进行研究的。然而,间接比较表明,使用芳香化酶抑制剂进行术前内分泌治疗促进保乳的可能性与化疗相当。因此,目前正在更年轻、更健康的人群中探索使用芳香化酶抑制剂进行一线全身治疗。一个关键的进展将是开发预测性生物标志物,以便这种治疗能够更有信心地纳入常规临床实践。有趣的是,这样一种检测似乎也能识别出那些对内分泌治疗反应高度敏感、但从辅助化疗中获益不多的患者,这似乎是合乎逻辑的。美国外科医师学会肿瘤学组和中央临床试验单位最近启动了一项新辅助芳香化酶抑制剂试验,正是出于这些目的。在这篇综述中,我们概述了术前内分泌治疗的基本原理,并考虑了这种情况下内分泌治疗反应性的预测模型。