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A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging

机译:通过多路复用离子束成像显示的三重阴性乳腺癌中的结构化肿瘤免疫微环境

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摘要

The immune system is critical in modulating cancer progression, but knowledge of immune composition, phenotype, and interactions with tumor is limited. We used multiplexed ion beam imaging by time-of-flight (MIBI-TOF) to simultaneously quantify in situ expression of 36 proteins covering identity, function, and immune regulation at sub-cellular resolution in 41 triple-negative breast cancer patients. Multi-step processing, including deep-learning-based segmentation, revealed variability in the composition of tumor-immune populations across individuals, reconciled by overall immune infiltration and enriched co-occurrence of immune subpopulations and checkpoint expression. Spatial enrichment analysis showed immune mixed and compartmentalized tumors, coinciding with expression of PD1, PD-L1, and IDO in a cell-type- and location-specific manner. Ordered immune structures along the tumor-immune border were associated with compartmentalization and linked to survival. These data demonstrate organization in the tumor-immune microenvironment that is structured in cellular composition, spatial arrangement, and regulatory-protein expression and provide a framework to apply multiplexed imaging to immune oncology.
机译:免疫系统在调节癌症进展方面至关重要,但是对免疫组合物,表型和与肿瘤相互作用的知识有限。我们使用飞行时间(MIBI-TOF)使用多路复用离子束成像,以在41个三阴性乳腺癌患者的亚细胞分辨率下以26种蛋白质的原位表达量化36种蛋白质。多步骤加工,包括基于深度学习的分割,揭示了在各个人的肿瘤免疫群体的组成中的可变性,通过整体免疫浸润和富集免疫群和检查点表达的共同调整。空间富集分析显示免疫混合和分区化肿瘤,与细胞类型和位置特异性的PD1,PD-L1和IDO的表达重合。沿着肿瘤 - 免疫边界的有序免疫结构与分区化相关并与存活有关。这些数据在肿瘤 - 免疫微环境中展示组织,该组织在细胞组成,空间布置和调节蛋白表达中构成,并提供了一种框架,以将复用成像施加到免疫肿瘤学中。

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