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早期乳腺癌预后基因表达谱分析的指征

Indications for prognostic gene expression profiling in early breast cancer.

作者信息

Cobain Erin F, Hayes Daniel F

机构信息

University of Michigan Comprehensive Cancer Center, 6312 CCC, 1500 East Medical Center Drive, SPC5942, Ann Arbor, MI, 48109-5942, USA,

出版信息

Curr Treat Options Oncol. 2015 May;16(5):23. doi: 10.1007/s11864-015-0340-x.

Abstract

Breast cancer is a heterogeneous disease. While breast cancer mortality has dropped substantially over the past three decades due to early detection and adjuvant systemic therapy (AST), the risk of recurrence is highly dependent upon numerous factors including tumor size, involvement of regional lymph nodes, histologic grade, expression of hormone receptors (estrogen and progesterone), and human epidermal growth factor receptor 2 (HER2) amplification. We use these factors to determine which early breast cancer (EBC) patients should be treated with AST, including endocrine therapy (ET), chemotherapy, and HER2-directed treatments. While these factors aid in this determination, it remains challenging to identify those patients unlikely to benefit from adjuvant chemotherapy, resulting in over-treatment of patients. Given this dilemma, there has been great interest in the development of prognostic and predictive gene expression profiles. The most extensively studied profile, the 21-gene recurrence score (Oncotype Dx®), estimates 10-year risk of breast cancer recurrence in patients with estrogen receptor (ER)-positive, HER2-negative, node-negative EBC and is likely predictive of chemotherapy benefit. This assay has established analytic validity, clinical validity, and clinical utility for this patient group and, therefore, is indicated in this patient population to help inform decisions regarding administration of adjuvant chemotherapy. Several other assays may have utility in this clinical context or perhaps to identify patients who do not require extended adjuvant ET. These assays include the following: PAM 50 Risk of Recurrence (ROR) Score (Prosigna™), Breast Cancer Index, and EndoPredict®.

摘要

乳腺癌是一种异质性疾病。尽管由于早期检测和辅助全身治疗(AST),乳腺癌死亡率在过去三十年中大幅下降,但复发风险高度依赖于众多因素,包括肿瘤大小、区域淋巴结受累情况、组织学分级、激素受体(雌激素和孕激素)表达以及人表皮生长因子受体2(HER2)扩增。我们利用这些因素来确定哪些早期乳腺癌(EBC)患者应接受AST治疗,包括内分泌治疗(ET)、化疗和HER2靶向治疗。虽然这些因素有助于做出这一决定,但识别那些不太可能从辅助化疗中获益的患者仍然具有挑战性,导致患者过度治疗。鉴于这一困境,人们对开发预后和预测基因表达谱产生了浓厚兴趣。研究最广泛的谱,即21基因复发评分(Oncotype Dx®),可估计雌激素受体(ER)阳性、HER2阴性、淋巴结阴性EBC患者的10年乳腺癌复发风险,并且可能预测化疗获益。该检测方法已为此患者群体确立了分析有效性、临床有效性和临床实用性,因此,在此患者群体中使用该检测方法有助于为辅助化疗的给药决策提供依据。其他几种检测方法在这种临床背景下可能有用,或者可能用于识别不需要延长辅助ET的患者。这些检测方法包括:PAM 50复发风险(ROR)评分(Prosigna™)、乳腺癌指数和EndoPredict®。

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