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芳香酶抑制剂治疗对绝经后雌激素受体阳性乳腺癌患者的全局基因表达及其与抗增殖反应的关系的影响。

Impact of aromatase inhibitor treatment on global gene expression and its association with antiproliferative response in ER+ breast cancer in postmenopausal patients.

机构信息

Breast Cancer Now Research Centre, ICR, London, UK.

Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK.

出版信息

Breast Cancer Res. 2019 Dec 31;22(1):2. doi: 10.1186/s13058-019-1223-z.

Abstract

BACKGROUND

Endocrine therapy reduces breast cancer mortality by 40%, but resistance remains a major clinical problem. In this study, we sought to investigate the impact of aromatase inhibitor (AI) therapy on gene expression and identify gene modules representing key biological pathways that relate to early AI therapy resistance.

METHODS

Global gene expression was measured on pairs of core-cut biopsies taken at baseline and at surgery from 254 patients with ER-positive primary breast cancer randomised to receive 2-week presurgical AI (n = 198) or no presurgical treatment (control n = 56) from the POETIC trial. Data from the AI group was adjusted to eliminate artefactual process-related changes identified in the control group. The response was assessed by changes in the proliferation marker, Ki67.

RESULTS

High baseline ESR1 expression associated with better AI response in HER2+ tumours but not HER2- tumours. In HER2- tumours, baseline expression of 48 genes associated with poor antiproliferative response (p < 0.005) including PERP and YWHAQ, the two most significant, and the transcription co-regulators (SAP130, HDAC4, and NCOA7) which were among the top 16 most significant. Baseline gene signature scores measuring cell proliferation, growth factor signalling (ERBB2-GS, RET/GDNF-GS, and IGF-1-GS), and immune activity (STAT1-GS) were significantly higher in poor AI responders. Two weeks of AI caused downregulation of genes involved in cell proliferation and ER signalling, as expected. Signature scores of E2F activation and TP53 dysfunction after 2-week AI were associated with poor AI response in both HER2- and HER2+ patients.

CONCLUSIONS

There is a high degree of heterogeneity in adaptive mechanisms after as little as 2-week AI therapy; however, all appear to converge on cell cycle regulation. Our data support the evaluation of whether an E2F signatures after short-term exposure to AI may identify those patients most likely to benefit from the early addition of CDK4/6 inhibitors.

TRIAL REGISTRATION

ISRCTN, ISRCTN63882543, registered on 18 December 2007.

摘要

背景

内分泌治疗可使乳腺癌死亡率降低 40%,但耐药仍是一个主要的临床问题。本研究旨在探讨芳香化酶抑制剂(AI)治疗对基因表达的影响,并确定代表与早期 AI 治疗耐药相关的关键生物学途径的基因模块。

方法

我们对 254 例 ER 阳性原发性乳腺癌患者进行了研究,这些患者被随机分配接受 2 周术前 AI 治疗(n=198)或无术前治疗(对照组 n=56),并在 POETIC 试验中从基线和手术时采集核心活检对患者进行了配对。AI 组的数据经过调整,以消除对照组中发现的与人为过程相关的变化。通过增殖标志物 Ki67 的变化来评估反应。

结果

高基线 ESR1 表达与 HER2+肿瘤的 AI 反应较好相关,但与 HER2-肿瘤无关。在 HER2-肿瘤中,有 48 个基因的基线表达与不良抗增殖反应相关(p<0.005),包括 PERP 和 YWHAQ,这两个基因最为显著,以及转录共调节因子(SAP130、HDAC4 和 NCOA7),它们是前 16 个最显著的基因。基线基因特征评分可测量细胞增殖、生长因子信号(ERBB2-GS、RET/GDNF-GS 和 IGF-1-GS)和免疫活性(STAT1-GS),在 AI 反应差的患者中显著更高。正如预期的那样,2 周的 AI 治疗导致参与细胞增殖和 ER 信号的基因下调。在 HER2-和 HER2+患者中,2 周 AI 后 E2F 激活和 TP53 功能障碍的特征评分与 AI 反应不良相关。

结论

即使在接受 2 周 AI 治疗后,适应性机制也存在高度异质性;然而,所有这些机制似乎都集中在细胞周期调控上。我们的数据支持评估短期暴露于 AI 后 E2F 特征是否可以识别最有可能从早期添加 CDK4/6 抑制剂中获益的患者。

试验注册

ISRCTN,ISRCTN63882543,于 2007 年 12 月 18 日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd7c/6938628/ecab1afc6164/13058_2019_1223_Fig1_HTML.jpg

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