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使用空间高多重技术进行免疫分析的挑战与机遇:NanoString GeoMx数字空间分析系统

Challenges and Opportunities for Immunoprofiling Using a Spatial High-Plex Technology: The NanoString GeoMx Digital Spatial Profiler.

作者信息

Hernandez Sharia, Lazcano Rossana, Serrano Alejandra, Powell Steven, Kostousov Larissa, Mehta Jay, Khan Khaja, Lu Wei, Solis Luisa M

机构信息

Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.

出版信息

Front Oncol. 2022 Jun 29;12:890410. doi: 10.3389/fonc.2022.890410. eCollection 2022.

Abstract

Characterization of the tumor microenvironment through immunoprofiling has become an essential resource for the understanding of the complex immune cell interactions and the assessment of biomarkers for prognosis and prediction of immunotherapy response; however, these studies are often limited by tissue heterogeneity and sample size. The nanoString GeoMx Digital Spatial Profiler (DSP) is a platform that allows high-plex profiling at the protein and RNA level, providing spatial and temporal assessment of tumors in frozen or formalin-fixed paraffin-embedded limited tissue sample. Recently, high-impact studies have shown the feasibility of using this technology to identify biomarkers in different settings, including predictive biomarkers for immunotherapy in different tumor types. These studies showed that compared to other multiplex and high-plex platforms, the DSP can interrogate a higher number of biomarkers with higher throughput; however, it does not provide single-cell resolution, including co-expression of biomarker or spatial information at the single-cell level. In this review, we will describe the technical overview of the platform, present current evidence of the advantages and limitations of the applications of this technology, and provide important considerations for the experimental design for translational immune-oncology research using this tissue-based high-plex profiling approach.

摘要

通过免疫分析对肿瘤微环境进行表征,已成为理解复杂免疫细胞相互作用以及评估预后生物标志物和预测免疫治疗反应的重要资源;然而,这些研究常常受到组织异质性和样本量的限制。纳斯特林GeoMx数字空间分析平台(DSP)是一个能够在蛋白质和RNA水平进行高多重分析的平台,可对冷冻或福尔马林固定石蜡包埋的有限组织样本中的肿瘤进行空间和时间评估。最近,一些具有重大影响力的研究表明,使用该技术在不同场景下识别生物标志物是可行的,包括不同肿瘤类型免疫治疗的预测生物标志物。这些研究表明,与其他多重和高多重平台相比,DSP能够以更高的通量检测更多的生物标志物;然而,它无法提供单细胞分辨率,包括生物标志物的共表达或单细胞水平的空间信息。在本综述中,我们将描述该平台的技术概述,展示该技术应用的优势和局限性的当前证据,并为使用这种基于组织的高多重分析方法进行转化性免疫肿瘤学研究的实验设计提供重要考虑因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/9277770/a90b0ceb75d1/fonc-12-890410-g001.jpg

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