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数字空间分析技术在乳腺癌中的应用:用户视角。

Digital spatial profiling application in breast cancer: a user's perspective.

机构信息

Centre for Clinical Research, University of Queensland, Herston, Brisbane, Australia.

QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia.

出版信息

Virchows Arch. 2020 Dec;477(6):885-890. doi: 10.1007/s00428-020-02821-9. Epub 2020 May 26.

Abstract

The disciplines of oncology and pathology are at present experiencing a wave of changes as precision medicine becomes embedded as standard-of-care. Consequently, the need to assess increasing numbers of biomarkers simultaneously has become more urgent and recognising the vast intra-tumoural heterogeneity, including within the microenvironment, requires a complex dimensional understanding of the localisation of the biomarker expression. Digital spatial profiling (DSP; nanoString™) technology spatially resolves and digitally quantifies proteins in a highly multiplexed assay, underpinned by the nCounter® barcoding platform. We present the application of this technology to breast cancer samples. Applying the 'off the shelf' cancer panel and a custom-conjugated E-cadherin antibody, we quantify vast intra-tumoural heterogeneity in immunological and tumour markers, and demonstrate a need for focussed selection of target cell populations. The technology offers enormous potential not only for making research advances but also for improving standard operating procedures in diagnostic applications.

摘要

肿瘤学和病理学领域目前正在经历一场变革,因为精准医学已成为标准治疗方法。因此,同时评估越来越多生物标志物的需求变得更加迫切,并且认识到包括微环境在内的肿瘤内异质性,需要对生物标志物表达的定位有一个复杂的维度理解。数字空间分析(DSP;nanoString™)技术通过 nCounter® 条形码平台,以高多重化检测对蛋白质进行空间分辨和数字定量。我们介绍了该技术在乳腺癌样本中的应用。通过应用“即用型”癌症面板和定制缀合的 E-钙黏蛋白抗体,我们对免疫和肿瘤标志物的巨大肿瘤内异质性进行了定量,并证明需要集中选择靶细胞群。该技术不仅为研究进展提供了巨大的潜力,而且为诊断应用中的标准操作程序提供了改进。

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