Background
Brain cancer research presents challenges that require comprehensive assessment of the structural and cellular organization of the tumor microenvironment (TME). Imaging Mass Cytometry™ (IMC™) offers unprecedented insight into the TME by uncovering the spatial distribution of 40-plus distinct molecular markers without data artifacts caused by autofluorescence. We developed high-plex proteomic analysis tools to thoroughly characterize the TME of both human and mouse brain tissues using IMC. Here we present a deep phenotypic spatial analysis of various mouse and human brain tumors and identify cellular composition and activation of immuno-oncological processes within the TME.
Methods
The Maxpar® Neuro Phenotyping IMC Panel Kit (PN 201337) is designed for imaging application on formalin-fixed, paraffin-embedded tissues. This neural research-specific panel consists of human and mouse cross-reactive clones and is compatible with Maxpar Human and Maxpar OnDemand™ Mouse Immuno-Oncology IMC Panel Kits. It enables flexible panel design for brain-specific research goals, such as brain tumor classification, and assessment of inflammation and degeneration of specific brain resident and infiltrating cells. We assembled and applied a 39-plex antibody panel on human tissue microarrays containing a variety of brain tumors including glioblastoma, astrocytoma, gliosarcoma, and transitional meningioma. In addition, we assembled and applied a 36-plex antibody panel on mouse glioblastoma and neuroblastoma tissues. The Hyperion™ Imaging System was utilized to digitize images from the tissues followed by quantitative single-cell analysis to assess the cellular composition of cancerous brain TME.
Results
We identified major cell populations that make up human and mouse brain matter, such as neurons, astrocytes, microglia, and oligodendrocytes. We detected presence of extensive astrogliosis and microgliosis with a pattern of infiltration of lymphoid and myeloid immune cells such as T cells, B cells, and macrophages. We also detected antigen-presenting cells as well as tumor cells exhibiting expression of key cell differentiation markers. Additionally, we assessed vascular coverage and extracellular matrix composition within the TME. Subsequent single-cell analysis provided a comprehensive and quantitative assessment of the brain TME in our human and mouse samples. Our phenotypic analysis resolved the brain TME to the single-cell level and provided insights into the spatial complexity of neuronal neoplasms.
Conclusions
Empowered by high-plex neuro-oncology panels, IMC can accelerate translational brain tumor research and provide multiparametric insights into the spatial complexity of neuronal neoplasms.
Ethics Approval
The samples obtained for this study were sourced from an accredited commercial provider.