PO.CL01.14 · 临床研究
两种黑色素瘤生物标志物及两组新型即用型多重免疫荧光panel的验证,用于肿瘤微环境中基质与血管区室的空间分析
Validation of two melanoma biomarkers and two novel ready-to-use multiplex immunofluorescence panels for spatial profiling of the stromal and vascular compartments in the tumor microenviroment
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
利用多重免疫荧光(mIF)研究肿瘤微环境(TME)已显著推进了我们对肿瘤内部空间动态的理解。该技术已成为识别生物标志物和治疗靶点的重要工具。尽管其应用日益广泛,但mIF方案仍然复杂且技术要求高。其手动操作和对专用试剂的依赖使其耗时且昂贵。此外,人们对其在不同组织类型间的可重复性和可移植性仍存在担忧。即用型、经验证的抗体panel(如SPYRE™ Core Panels)有助于应对这些挑战。
本研究中,我们展示了两组新抗体panel的开发与验证,涵盖相关的基质和血管生物标志物,以便在COMET™平台上对多种组织类型的TME进行空间分析,另外还包括两种针对SOX10和S100B、经黑色素瘤研究优化的抗体。基质panel可同时检测Vimentin、E-Cadherin、Collagen I和FAP,而血管panel则包含CD31、CD34、Podoplanin和LYVE-1。取自24芯多器官组织芯片的福尔马林固定石蜡包埋人体组织切片及全切片黑色素瘤样本,采用全自动顺序免疫荧光(seqIF™,PMID: 37813886)在COMET™上进行染色。染色与检测通过间接免疫荧光完成,使用未标记的一抗和荧光基团偶联的二抗。两组panel均在多种肿瘤及非肿瘤组织上同时开发和验证。经seqIF™后从COMET™取回的切片,由组织学实验室采用为病理诊断建立的标准免疫组织化学(IHC)进行染色,以比较seqIF™与IHC的染色模式并验证抗体特异性。所有标志物均展示出准确的检测和特异性的seqIF™染色,与金标准IHC对照物相当,并在多种组织中表现稳健。方案经优化,使全部十种标志物在灵敏度和信噪比方面均达到高染色质量。COMET™平台上自动化染色的可重复性和再现性,通过在同一仪器上的逐日测试以及多台仪器间的测试得到验证。
我们经验证的SPYRE™ Stroma和Vessel Focus panel,连同黑色素瘤特异性抗体,可在多种组织中提供高特异性和可重复的结果。它们在COMET™平台上即用,并设计为SPYRE™ Core Panels的模块化扩展,可实现定量标志物检测、与自定义抗体的组合,并为研究人员提供稳健、可扩展的工作流程,用于高级空间生物学研究。
查看英文原文 English abstract
The use of multiplex immunofluorescence (mIF) to study the tumor microenvironment (TME) has significantly advanced our understanding of spatial dynamics within tumors. This technique has emerged as a valuable tool for identifying biomarkers and therapeutic targets. Despite its growing adoption, mIF protocols remain complex and technically demanding. Their manual execution and reliance on dedicated reagents make them time-consuming and expensive. Additionally, concerns persist regarding their reproducibility and transferability across different tissue types. Ready-to-use, validated antibody panels, such as the SPYRE™ Core Panels, help address these challenges.
In this study, we demonstrate the development and validation of two new antibody panels covering relevant stromal and vessel biomarkers to enable spatial analysis of the TME on the COMET™ platform across various tissue types as well as two additional antibodies against SOX10 and S100B optimized for melanoma studies. The stroma panel enables simultaneous detection of Vimentin, E-Cadherin, Collagen I, and FAP, while the vessel panel contains CD31, CD34, Podoplanin, and LYVE-1. Formalin-fixed paraffin-embedded human tissue sections from a 24-cores multi-organ tissue microarray and whole-section melanoma samples were stained on COMET™ by fully automated sequential immunofluorescence (seqIF™, PMID: 37813886). Staining and detection are done via indirect immunofluorescence using unlabeled primary antibodies and fluorophore conjugated secondary antibodies. Both panels were developed and validated on several tumoral and non-tumoral tissues at the same time. The sections retrieved from COMET™ after seqIF™, were stained by a histology facility with standard immunohistochemistry (IHC) established for pathological diagnosis to compare seqIF™ and IHC staining patterns and verify antibody specificity. All markers demonstrate accurate detection with specific seqIF™ staining, comparable to gold-standard IHC counterparts, as well as robust performance across multiple tissues. Protocols were optimized to achieve high staining quality for all ten markers in terms of sensitivity and signal-to-background ratio. The repeatability and reproducibility of the automated stainings on the COMET ™ platform was verified by day-to-day tests on one instrument and tests among multiple ones.
Our validated SPYRE™ Stroma and Vessel Focus panels, along with melanoma-specific antibodies, deliver highly specific and reproducible results across diverse tissues. Ready-to-use on the COMET™ platform and designed as modular extensions of the SPYRE™ Core Panels, they enable quantitative marker detection, combination with custom antibodies, and empower researchers with robust and scalable workflows for advanced spatial biology studies.
利益披露 Disclosure
P. Juricic, None..
F. Rivest, None..
C. Sinthon, None..
J. Nguyen, None..
I. Blanc, None..
B. Nicolai, None..
A. Kehren, None..
S. Brajkovic, None.