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临床试验中的全面免疫监测以推进人类免疫疗法。

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy.

机构信息

Department of Pathology, School of Medicine, Stanford University, Palo Alto, CA 94305, USA.

Departments of Otolaryngology-Head and Neck Surgery and Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA.

出版信息

Cell Rep. 2019 Jul 16;28(3):819-831.e4. doi: 10.1016/j.celrep.2019.06.049.

Abstract

The success of immunotherapy has led to a myriad of clinical trials accompanied by efforts to gain mechanistic insight and identify predictive signatures for personalization. However, many immune monitoring technologies face investigator bias, missing unanticipated cellular responses in limited clinical material. We present here a mass cytometry (CyTOF) workflow for standardized, systems-level biomarker discovery in immunotherapy trials. To broadly enumerate immune cell identity and activity, we established and extensively assessed a reference panel of 33 antibodies to cover major cell subsets, simultaneously quantifying activation and immune checkpoint molecules in a single assay. This assay enumerates ≥98% of peripheral immune cells with ≥4 positively identifying antigens. Robustness and reproducibility are demonstrated on multiple samples types, across two research centers and by orthogonal measurements. Using automated analysis, we identify stratifying immune signatures in bone marrow transplantation-associated graft-versus-host disease. Together, this validated workflow ensures comprehensive immunophenotypic analysis and data comparability and will accelerate biomarker discovery.

摘要

免疫疗法的成功导致了大量临床试验的开展,同时也努力深入了解其机制,并确定个性化治疗的预测标志物。然而,许多免疫监测技术面临着研究人员的偏见,在有限的临床标本中错过了未预料到的细胞反应。在这里,我们提出了一种用于免疫疗法临床试验的标准化、系统水平生物标志物发现的质谱流式细胞术(CyTOF)工作流程。为了广泛地描述免疫细胞的特征和活性,我们建立并广泛评估了一个包含 33 种抗体的参考面板,以涵盖主要的细胞亚群,同时在单次测定中定量测定激活和免疫检查点分子。该测定方法能够对≥98%的外周免疫细胞进行≥4 个阳性鉴定抗原的计数。在两个研究中心和通过正交测量证明了该测定方法的稳健性和重现性。使用自动化分析,我们确定了骨髓移植相关移植物抗宿主病的分层免疫特征。总之,这种经过验证的工作流程确保了全面的免疫表型分析和数据可比性,并将加速生物标志物的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7c0/6656694/af873abcb0b8/fx1.jpg

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