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首页> 外文期刊>Cancer: A Journal of the American Cancer Society >Predicting response and resistance to endocrine therapy: profiling patients on aromatase inhibitors.
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Predicting response and resistance to endocrine therapy: profiling patients on aromatase inhibitors.

机译:预测对内分泌治疗的反应和耐药性:使用芳香化酶抑制剂对患者进行分析。

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摘要

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 In this report, the authors review their published work and abstract results from an unpublished study to illustrate the potential of RNA microarrays from sequential tumor biopsies from patients who were offered neoadjuvant endocrine therapy treatment to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.
机译:内分泌治疗的选择需要识别可准确预测反应/耐药性的标志物。在本报告中,作者回顾了他们发表的工作和未发表研究的抽象结果,以说明接受序贯性肿瘤活检的RNA微阵列的潜力,这些患者接受了新辅助内分泌治疗,以鉴定与肿瘤敏感性/耐药性相关的分子特征。通过连续超声测量,对接受来曲唑新辅助治疗3个月,患有大型,原发性,富含雌激素受体的乳腺癌的绝经后妇女进行临床超声评估。在治疗14天之前和之后从活组织检查中获得的肿瘤RNA在Affymetrix U133A芯片上杂交以确定表达谱。在大多数肿瘤中,经典的雌激素依赖性基因和增殖标志物随治疗而改变,但与临床反应的相关性较弱(在来曲唑耐药的肿瘤中经常发生改变)。差异表达模式可用于鉴定临床耐药肿瘤中的异质性。结果表明,用来曲唑治疗的早期变化的分子概况分析提供了区分临床反应性和非反应性肿瘤的机会,并提供了有关内分泌耐药性异质性的重要信息。

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