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预测内分泌治疗的反应和耐药性:对使用芳香化酶抑制剂的患者进行分析。

Predicting response and resistance to endocrine therapy: profiling patients on aromatase inhibitors.

作者信息

Miller William R, Larionov Alexey, Anderson Thomas J, Walker John R, Krause Andreas, Evans Dean B, Dixon J Michael

机构信息

Breast Research Group, University of Edinburgh, Edinburgh, United Kingdom.

Genomics Institute of the Novartis Research Foundation, San Diego, California.

出版信息

Cancer. 2008 Feb 1;112(3 Suppl):689-694. doi: 10.1002/cncr.23187.

Abstract

Selection for endocrine therapy requires the identification of markers that accurately predict response/resistance. In this report, the authors review their published work and abstract results from an unpublished study to illustrate the potential of RNA microarrays from sequential tumor biopsies from patients who were offered neoadjuvant endocrine therapy treatment to identify the molecular signatures associated with tumor sensitivity/resistance. Clinical response was assessed by serial ultrasound measurements in postmenopausal women with large, primary, estrogen receptor-rich breast cancers who received neoadjuvant treatment with letrozole for 3 months. Tumor RNA from biopsies that were taken before and after 14 days of treatment was hybridized on Affymetrix U133A chips to determine expression profiles. Classic estrogen-dependent genes and markers of proliferation were changed with treatment in most tumors but were poorly associated with clinical response (they frequently were changed in letrozole-resistant tumors). Differential expression patterns could be used to identify heterogeneity in clinically resistant tumors. The results indicated that molecular profiling of early changes with letrozole treatment offers the opportunity to distinguish between clinically responsive and nonresponsive tumors and provides important information about the heterogeneity of endocrine resistance.

摘要

内分泌治疗的选择需要识别能够准确预测反应/耐药性的标志物。在本报告中,作者回顾了他们已发表的研究工作,并摘要介绍了一项未发表研究的结果,以说明对接受新辅助内分泌治疗的患者进行序贯肿瘤活检的RNA微阵列识别与肿瘤敏感性/耐药性相关分子特征的潜力。通过对接受来曲唑新辅助治疗3个月的绝经后、患有大型原发性、富含雌激素受体乳腺癌的女性进行系列超声测量来评估临床反应。将治疗14天前后活检获得的肿瘤RNA与Affymetrix U133A芯片杂交以确定表达谱。大多数肿瘤中,经典的雌激素依赖性基因和增殖标志物随治疗发生变化,但与临床反应的相关性较差(它们在来曲唑耐药肿瘤中经常发生变化)。差异表达模式可用于识别临床耐药肿瘤中的异质性。结果表明,来曲唑治疗早期变化的分子谱分析有机会区分临床反应性和无反应性肿瘤,并提供有关内分泌耐药异质性的重要信息。

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