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乳腺癌内分泌治疗反应预测标志物定义中的挑战。

Challenges in defining predictive markers for response to endocrine therapy in breast cancer.

机构信息

Edinburgh Breakthrough Breast Research Unit, University of Edinburgh, Edinburgh, UK.

出版信息

Future Oncol. 2009 Nov;5(9):1415-28. doi: 10.2217/fon.09.113.

Abstract

Endocrine therapy is a major treatment modality for hormone-dependent breast cancer. It has a relatively low morbidity, and there is evidence that antihormonal treatments have had a significant effect in reducing mortality for breast cancer. Despite this, resistance to endocrine therapy, either primary or acquired during treatment, occurs in the majority of patients, and is a major obstacle to optimal clinical management. There is therefore an urgent need to identify, on an individual basis, those tumors that are most likely to respond to endocrine therapy (so sparing patients with resistant tumors the needless side effects of ineffective therapy), and the mechanisms of resistance in tumors that are nonresponsive to treatment (so these can be bypassed). These needs are the focus of this review, which discusses the particular issues encountered when investigating the potential of multigene expression signatures as predictive factors for response to aromatase inhibitors, which have recently become front-line endocrine therapies for postmenopausal patients with breast cancer.

摘要

内分泌治疗是激素依赖性乳腺癌的主要治疗方式之一。它具有相对较低的发病率,有证据表明,抗激素治疗在降低乳腺癌死亡率方面具有显著效果。尽管如此,大多数患者在治疗过程中或治疗后会出现对内分泌治疗的耐药,这是优化临床管理的主要障碍。因此,迫切需要根据个体情况,确定哪些肿瘤最有可能对内分泌治疗有反应(从而避免对耐药肿瘤患者进行无效治疗的不必要的副作用),以及那些对治疗无反应的肿瘤的耐药机制(从而可以绕过这些机制)。这些需求是本综述的重点,讨论了在研究多基因表达谱作为芳香化酶抑制剂反应预测因素的潜力时遇到的特殊问题,这些预测因素最近已成为绝经后乳腺癌患者一线内分泌治疗药物。

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