Abstract A074: Spatially resolved deep antigen profiling of single cells in FFPE tissue samples through CODEXTM

M. Gallina, Atri Choksi, N. Nikulina, Jaskirat Singh, G. Dakshinamoorthy, Joseph Kim, S. Mistry, J. Kennedy‐Darling
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引用次数: 2

Abstract

Spatially resolved, deep antigen profiling of tissue specimens is crucial for investigating the architecture and cell diversity in complex matrices, such as the tumor microenvironment (TME). The correlation of these two parameters with the progression of a variety of pathologies, ranging from cancer to autoimmune diseases, is still vastly unknown due to the lack of technologies that enable the detection of both high content and spatial resolution. Formalin-fixed, paraffin-embedded (FFPE) tissues constitute the ideal sample for these investigations as they retain tissue morphology at room temperature for long periods of time, which is convenient and cost-effective, and are available in vast specimen archives. Akoya Biosciences, Inc., is commercializing CODEXTM (CO-Detection by indEXing), a multiparameteric imaging platform that performs the concurrent detection and quantification of dozens of antigens with single cell resolution within a tissue specimen. The CODEX platform uses a DNA-based barcode library to label antibodies and iterative cycles of adding and removing cognate dye-labeled oligonucleotides to reveal the staining pattern for a subset of the target markers per cycle. The entire data acquisition process is fully automated using the CODEX instrument, which integrates with existing microscopes. To support high-multiplexing capabilities, more than 45 different antibody clones have been screened and validated for the detection of target epitopes in human FFPE secondary lymphoid tissues for both healthy and cancerous specimens using the CODEX platform. Proof-of-concept data have also been obtained for different cancer types, including melanoma and head and neck cancer in both normal and TMA formats. Analysis software has been developed to extract meaning from CODEX datasets and is included as part of the CODEX platform. The analysis pipeline includes image drift compensation, deconvolution and segmentation to measure integrated fluorescence intensity for each cell across tens of parameters. In this manner, infiltrating lymphocytes and other immune cells have been identified within the TME. With the high multiplexing capabilities, a variety of T-cells can be identified to detect the ratios of both immunosuppressive and immune-activating subtypes. Analysis of FFPE tissues using the CODEX platform demonstrates the unparalleled opportunities for simultaneously detecting tens of antigens with single-cell resolution within a tissue specimen. Citation Format: Maria Elena Gallina, Atri Choksi, Nadya Nikulina, Jaskirat Singh, Gajalakshmi Dakshinamoorthy, Joseph Kim, Sejal Mistry, Julia Kennedy-Darling. Spatially resolved deep antigen profiling of single cells in FFPE tissue samples through CODEXTM [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr A074.
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摘要/ Abstract A074:利用CODEXTM对FFPE组织样品中单细胞进行空间分辨深度抗原谱分析
在空间分辨率上,组织标本的深层抗原谱分析对于研究复杂基质(如肿瘤微环境(TME))中的结构和细胞多样性至关重要。由于缺乏能够同时检测高含量和空间分辨率的技术,这两个参数与从癌症到自身免疫性疾病等各种病理进展的相关性仍然非常未知。福尔马林固定石蜡包埋(FFPE)组织是这些研究的理想样本,因为它们在室温下长时间保持组织形态,这是方便和经济有效的,并且可以在大量的标本档案中获得。Akoya Biosciences, Inc.正在商业化CODEXTM (CO-Detection by indEXing),这是一种多参数成像平台,可以在组织标本中以单细胞分辨率同时检测和定量数十种抗原。CODEX平台使用基于dna的条形码文库来标记抗体和添加和去除同源染料标记的寡核苷酸的迭代循环,以揭示每个循环中目标标记物子集的染色模式。整个数据采集过程使用CODEX仪器完全自动化,该仪器与现有显微镜集成。为了支持高复用能力,使用CODEX平台对超过45种不同的抗体克隆进行了筛选和验证,以检测健康和癌变标本的人FFPE二级淋巴组织中的目标表位。对于不同类型的癌症,包括正常和TMA两种形式的黑色素瘤和头颈癌,也获得了概念验证数据。已经开发了分析软件,从CODEX数据集中提取意义,并作为CODEX平台的一部分纳入其中。分析管道包括图像漂移补偿、反卷积和分割,以测量每个细胞在数十个参数中的综合荧光强度。通过这种方式,浸润淋巴细胞和其他免疫细胞已经在TME中被识别出来。由于具有高复用能力,可以识别各种t细胞以检测免疫抑制和免疫激活亚型的比例。使用CODEX平台对FFPE组织进行分析表明,在组织标本中以单细胞分辨率同时检测数十种抗原具有无与伦比的机会。引文格式:Maria Elena Gallina, Atri Choksi, Nadya Nikulina, Jaskirat Singh, Gajalakshmi Dakshinamoorthy, Joseph Kim, Sejal Mistry, Julia Kennedy-Darling。利用CODEXTM对FFPE组织样本中单细胞进行空间分辨深度抗原谱分析[摘要]。第四届CRI-CIMT-EATI-AACR国际癌症免疫治疗会议:将科学转化为生存;2018年9月30日至10月3日;纽约,纽约。费城(PA): AACR;癌症免疫学杂志2019;7(2增刊):摘要nr A074。
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