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使用五个免疫肿瘤多重免疫荧光面板对石蜡肿瘤组织进行免疫分析和细胞空间分析。

Immuno-profiling and cellular spatial analysis using five immune oncology multiplex immunofluorescence panels for paraffin tumor tissue.

机构信息

Department of Translational Molecular Pathology, Unit 951, The University of Texas MD Anderson Cancer Center, 2130 Holcombe Blvd., Houston, TX, 77030, USA.

Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

Sci Rep. 2021 Apr 19;11(1):8511. doi: 10.1038/s41598-021-88156-0.

Abstract

Multiplex immunofluorescence (mIF) has arisen as an important tool for immuno-profiling tumor tissues. We updated our manual protocol into an automated protocol that allows the use of up to seven markers in five mIF panels to apply to formalin-fixed paraffin-embedded tumor tissues. Using a tyramide signal amplification system, we optimized five mIF panels that included cytokeratin to characterize malignant cells (MCs), immune checkpoint markers (i.e., PD-L1, B7-H3, B7-H4, IDO-1, VISTA, LAG3, ICOS, TIM3, and OX40), tumor-infiltrating lymphocytic markers (i.e., CD3, CD8, CD45RO, granzyme B, PD-1, and FOXP3), and markers to characterize myeloid-derived suppressor cells (i.e., CD68, CD66b, CD14, CD33, Arg-1, and CD11b). To determine analytical reproducibility and the impact of those panels for immuno-profiling tumor tissues, we performed an exploratory analysis in a set of non-small cell lung cancer (NSCLC) samples. The slides were scanned, and the different cell phenotypes were quantified by simultaneous co-localizations with the markers using image analysis software. Comparison between the time points of staining showed high analytical reproducibility. The analysis of NSCLC cases showed an immunosuppressive microenvironment with PD-L1/PD-1 expression as a predominant axis. Interestingly, high density of MCs expressing B7-H4 was correlated with recurrence. Unexpectedly, MCs expressing OX40 were also detected, and those cells were a closer distance to CD3+T-cells than were MCs expressing other immune checkpoints. Two different cellular patterns of spatial distribution were determined according the CD3 distribution, and the predominant pattern was related with active immunosuppressive interaction with MCs. Our study shows that these five mIF panels can identify multiple targets in a single cell with high reproducibility. The study of different cell populations and their spatial relationship can open new ideas for therapeutic approaches.

摘要

多重免疫荧光(mIF)已成为免疫分析肿瘤组织的重要工具。我们将手动方案更新为自动方案,该方案允许在五个 mIF 面板中使用多达七种标记物来应用于福尔马林固定石蜡包埋的肿瘤组织。我们使用酪胺信号放大系统优化了五个 mIF 面板,其中包括角蛋白以鉴定恶性细胞(MCs)、免疫检查点标记物(即 PD-L1、B7-H3、B7-H4、IDO-1、VISTA、LAG3、ICOS、TIM3 和 OX40)、肿瘤浸润淋巴细胞标记物(即 CD3、CD8、CD45RO、颗粒酶 B、PD-1 和 FOXP3)以及鉴定髓系来源的抑制细胞的标记物(即 CD68、CD66b、CD14、CD33、Arg-1 和 CD11b)。为了确定分析重现性以及这些面板对肿瘤组织免疫分析的影响,我们对一组非小细胞肺癌(NSCLC)样本进行了探索性分析。通过使用图像分析软件,通过与标记物的同时共定位,对幻灯片进行扫描并定量不同的细胞表型。染色时间点之间的比较显示出高度的分析重现性。NSCLC 病例的分析显示出具有 PD-L1/PD-1 表达的免疫抑制微环境为主轴。有趣的是,高表达 B7-H4 的 MCs 密度与复发相关。出乎意料的是,还检测到表达 OX40 的 MCs,并且这些细胞与表达其他免疫检查点的 MCs相比,距离 CD3+T 细胞更近。根据 CD3 的分布确定了两种不同的空间分布细胞模式,主要模式与与 MCs 发生积极的免疫抑制相互作用有关。我们的研究表明,这五个 mIF 面板可以在单个细胞中以高重现性识别多个靶标。研究不同的细胞群及其空间关系可以为治疗方法开辟新的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6729/8055659/1213c3ff347f/41598_2021_88156_Fig1_HTML.jpg

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