PO.CL01.14 · 临床研究
空间蛋白质组学与AI驱动的分析揭示胶质母细胞瘤微环境内的治疗图景
Spatial proteomics and AI-driven analysis uncover therapeutic landscapes within the glioblastoma microenvironment
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
胶质母细胞瘤（GBM）是一种高度侵袭性且空间异质的脑肿瘤，治疗选择有限且预后不良。有效的治疗靶向需要更深入地理解肿瘤微环境（TME），尤其是恶性、免疫和基质区室之间的空间关系。为此，我们采用Cell DIVE™多重免疫荧光平台，对FFPE胶质母细胞瘤组织切片进行高重数空间蛋白质组学分析。我们优化了一个来自Abcam的直接偶联重组抗体定制panel，用于探究与肿瘤生物学、免疫调节和基质结构相关的标志物。经过迭代染色和成像循环后，使用AI驱动的图像分析平台Aivia对多通道高分辨率图像进行分析。该工作流程实现了对组织区域的准确分割，以及对GBM内不同解剖区带间空间蛋白表达模式的量化。蛋白表达模式间的空间关系揭示了区域特异性的免疫浸润以及肿瘤-基质界面处的表型转变。共定位和邻近分析进一步识别出潜在的免疫逃逸特征以及与耐药表型相关的微环境结构。这一整合方法为复杂肿瘤组织的空间解析蛋白质组学分析提供了一种可扩展且与临床兼容的方法。Cell DIVE™多重成像、Abcam直接偶联抗体和基于Aivia的分析相结合，提供了一个强大的平台，用于剖析胶质母细胞瘤的空间生物学。本研究的转化意义在于其为生物标志物开发提供信息、指导空间靶向治疗以及支持GBM精准医学策略的潜力。该方法学非常适合整合到临床研究工作流程和大规模转化研究中，有望为神经肿瘤学及其他实体瘤的个性化治疗策略提供信息。
查看英文原文 English abstract
Glioblastoma (GBM) is a highly aggressive and spatially heterogeneous brain tumor with limited treatment options and poor prognosis. Effective therapeutic targeting requires a deeper understanding of the tumor microenvironment (TME), particularly the spatial relationships between malignant, immune, and stromal compartments. To address this, we employed the Cell DIVE™ multiplex immunofluorescence platform to perform high-plex spatial proteomic profiling of FFPE glioblastoma tissue section. A customized panel of directly conjugated recombinant antibodies from Abcam was optimized to interrogate markers relevant to tumor biology, immune modulation, and stromal architecture. Following iterative staining and imaging cycles, multi-channel, high-resolution images were analyzed using Aivia, an AI-powered image analysis platform. The workflow enabled accurate segmentation of tissue regions and quantification of spatial protein expression patterns across distinct anatomical zones within GBM. Spatial relationships among protein expression patterns revealed region-specific immune infiltration and phenotypic transitions at tumor-stromal interfaces. Co-localization and proximity analysis further identified potential immune evasion signatures and microenvironmental structures associated with resistance phenotypes. This integrative approach provides a scalable and clinically compatible method for spatially resolved proteomic analysis of complex tumor tissues. The combination of Cell DIVE™ multiplex imaging, Abcam direct-conjugate antibodies, and Aivia-based analysis offers a powerful platform for dissecting the spatial biology of glioblastoma. The translational relevance of this study lies in its potential to inform biomarker development, guide spatially targeted therapies, and support precision medicine strategies in GBM. This methodology is well positioned for integration into clinical research workflows and large-scale translational studies, with potential to inform personalized treatment strategies across neuro-oncology and other solid tumors.
利益披露 Disclosure
N. Nelson, None..
H. Lai, None..
S. Struble, None..
R. A. Heil-Chapdelaine, None..
N. F. Diaz Granados, None..
A. Bose, None.