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解析特定部位乳腺癌转移:一项微小RNA表达谱研究。

Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study.

作者信息

Schrijver Willemijne A M E, van Diest Paul J, Moelans Cathy B

机构信息

Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.

出版信息

Oncotarget. 2017 Jan 10;8(2):3111-3123. doi: 10.18632/oncotarget.13623.

Abstract

Distant metastasis is still the main cause of death from breast cancer. MicroRNAs (miRs) are important regulators of many physiological and pathological processes, including metastasis. Molecular breast cancer subtypes are known to show a site-specific pattern of metastases formation. In this study, we set out to determine the underlying molecular mechanisms of site-specific breast cancer metastasis by microRNA expression profiling.To identify a miR signature for metastatic breast carcinoma that could predict metastatic localization, we compared global miR expression in 23 primary breast cancer specimens with their corresponding multiple distant metastases to ovary (n=9), skin (n=12), lung (n=10), brain (n=4) and gastrointestinal tract (n=10) by miRCURY microRNA expression arrays. For validation, we performed quantitative real-time (qRT) PCR on the discovery cohort and on an independent validation cohort of 29 primary breast cancer specimens and their matched metastases.miR expression was highly patient specific and miR signatures in the primary tumor were largely retained in the metastases, with the exception of several differentially expressed, location specific miRs. Validation with qPCR demonstrated that hsa-miR-106b-5p was predictive for the development of lung metastases. In time, the second metastasis often showed a miR upregulation compared to the first metastasis.This study discovered a metastatic site-specific miR and found miR expression to be highly patient specific. This may lead to novel biomarkers predicting site of distant metastases, and to adjuvant, personalized targeted therapy strategies that could prevent such metastases from becoming clinically manifest.

摘要

远处转移仍然是乳腺癌死亡的主要原因。微小RNA(miRs)是包括转移在内的许多生理和病理过程的重要调节因子。已知分子型乳腺癌亚型表现出特定部位的转移形成模式。在本研究中,我们通过微小RNA表达谱分析来确定特定部位乳腺癌转移的潜在分子机制。为了确定能够预测转移部位的转移性乳腺癌的miR特征,我们通过miRCURY微小RNA表达芯片比较了23例原发性乳腺癌标本及其相应的多个远处转移至卵巢(n = 9)、皮肤(n = 12)、肺(n = 10)、脑(n = 4)和胃肠道(n = 10)的转移灶中的整体miR表达。为了进行验证,我们在发现队列以及由29例原发性乳腺癌标本及其匹配转移灶组成的独立验证队列中进行了定量实时(qRT)PCR。miR表达具有高度的患者特异性,原发性肿瘤中的miR特征在转移灶中大多得以保留,但有几个差异表达的、部位特异性的miRs除外。qPCR验证表明,hsa-miR-106b-5p可预测肺转移的发生。随着时间推移,与首次转移相比,第二次转移时miR常出现上调。本研究发现了一种转移部位特异性的miR,并发现miR表达具有高度的患者特异性。这可能会产生预测远处转移部位的新型生物标志物,以及可预防此类转移灶发展至临床显性阶段的辅助性、个性化靶向治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8af/5356868/6190a34c3a05/oncotarget-08-3111-g001.jpg

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