Gupta, Pravesh

Glioma-associated microglia/macrophages (GAMs) have traditionally been described as immunosuppressive. However, within their highly heterogeneous repertoire, pro-phagocytic and cytotoxic subsets with anti-tumoral properties exist. Although macrophages (MACs) can exhibit tumor-suppressive functions, their anti-glioma properties largely remain elusive. To identify anti-glioma myeloid cell effectors, we performed directionally concatenated ligand-receptor (L-R) interactome analyses from dendritic cells (DCs) and microglia (MG) to lymphoid (CD4 + T, Tregs, CD8 + T, NK, and NKT) cells identified by our recent single-cell transcriptomics interrogation of tumor-associated CD45 + leukocytes from tumor brains of eighteen isocitrate dehydrogenase (IDH)–stratified glioma patients. Within DC-specific and MG-specific interactomes, we identified LGALS9 , which encodes Galectin-9, as a key mediator of cell–cell interactions in IDH-wild type (IDH-wt) gliomas. Spectral cytometry, immunohistochemistry, and Western blotting analyses confirmed the abundant expression of Galectin-9 in glioma-associated MG, but not in tumor cells. Furthermore, differential gene enrichment analyses revealed transcripts associated with cellular adhesion (coronin 1A, integrin) and phagocytosis (FcγR, phospholipase D, Rab family proteins, etc.) pathways that were significantly upregulated in Galectin-9 + compared to Galectin-9 − MG and MACs. Using an ex-vivo primary human microglia (pMG) and patient-derived glioma stem cells (GSCs) co-culture system, we evaluated the functional role of Galectin-9. Confocal imaging analyses of co-cultured pMG with GSCs revealed that siRNA-mediated knockdown or antibody-based neutralization of Galectin-9 significantly impaired pMG–GSC adhesion. In addition to reduced adhesion, phagocytosis of GSCs was dramatically attenuated across all Galectin-9 silenced or neutralized pMG. Altogether, our study underscores the unappreciated non-canonical role of Galectin-9 in MG as a regulator of glioma cell adhesion and phagocytosis that can be harnessed for glioblastoma immunotherapy.

Abstract Innate immune cells of macrophage family predominate tumor immune microenvironment of CNS malignancies. Although macrophages exhibit myriads of protective functions such as clearance of malignant cells, immune surveillance, inflammation resolution and tissue repair, they are generally linked to immunosuppression in gliomas. To identify anti-glioma myeloid cell effectors, we performed directionally concatenated ligand-receptor (L-R) interactome analyses from dendritic cells (DC) and microglia (MG) to lymphoid (CD4+T, Tregs, CD8+T, NK and NKT) cells identified by single cell transcriptomics analyses of ~145,000 tumor-associated CD45+ leukocytes from tumor brains of eighteen high-grade and low-grade glioma patients. Amongst DC-specific (e.g. adhesion molecules) and MG-specific (e.g. chemokine family) interactomes, we identified LGALS9 encoding Galectin-9 as the most pertinent interactions (e.g. SORL1 encoding sortilin-related receptor 1) in MG of IDH-wild type gliomas. Spectral cytometry, immunohistochemistry and western blotting analyses of MG, macrophage, DC, lymphoid cells and tumor cells confirmed abundant expression of Galectin-9 in glioma-associated MG and not in Nestin+ tumor cells. Furthermore, differential gene enrichment analyses revealed transcripts associated with cellular adhesion (coronin 1A, integrin) and phagocytosis (FcγR, phospholipase D, Rab family proteins etc.) was significantly upregulated in Galectin-9hi compared to Galectin-9lo/- MG and macrophages predicting putative role of Galectin-9 in tumor cell adhesion and phagocytosis. Using glioblastoma relevant patient derived ex vivo primary microglia (pMGs; 707, 2103, 1805) and glioma stem cell (GSC) co-culture model system, we evaluated the functional role of Galectin-9. Confocal imaging analyses of co-cultured pMGs with GSC revealed that siRNA or neutralizing antibody mediated downregulation of Galectin-9 led to significantly impaired adhesion (p<0.001) between pMGs and GSC. Not only adhesion but even phagocytosis of GSC was dramatically attenuated (p<0.0001) across all Galectin-9 silenced or neutralized pMGs. Altogether, our study underscores unappreciated role of Galectin-9 in MG as regulator of glioma cell adhesion and phagocytosis that can be harnessed for glioblastoma immunotherapy.

Abstract Effective immune synapses are a prerequisite for desirable immune surveillance and control of tumour growth. Cell-to-cell interactions form the basis of immune synapses, resulting in either immunoprotected or immunosuppressed manifestations in the tumour brain that could explain glioblastoma (GBM) recurrence. Using state-of-the-art multiplex imaging, spatial statistics, and spatially aware deep learning tools in 14 patient-matching tissues from primary and recurrent GBM, we detected spatial immune networks (SINets). SINets across 105 regions of interest comprising 2.3 million cells show stronger spatial engagement between myeloid and lymphoid lineages at recurrence. SINets’ architecture in primary tumours is associated with relapse timing. Patients, where the SINets are more modular, recur sooner than patients with denser SiNets. In addition, this association presents sexual dimorphism in our cohort (N=3 females, and N=4 males). Phenotype-to-phenotype spatial coexistence also contributes to enhancing phenotype prediction. A spatial-aware deep learning model trained with single-cell data from primary tumours reaches an average balanced accuracy of 0.76 in primary tumour cellular communities unseen during training, compared to a spatial-agnostic model that reached an average balanced accuracy of 0.69. In summary, we detected a distinct spatial engagement in glioblastoma undergoing chemo-radiation treatment. The spatial patterns of coexistence represent ecological niches that contribute to defining cell occurrence and may underpin effective immune synapses. Overall, the spatiotemporal elements provide a newer approach for dissecting glioblastoma’s complexity and discovering opportunities for stratifying patients by harnessing spatial information encoded in multicellular niches.

Abstract Despite exhibiting longer overall survival that IDH-wt counterparts, IDH-mutant gliomas remain uniformly deadly and impact patients in the prime of adult life. The immune microenvironment of IDH-mutant gliomas remains incompletely characterized, particularly with regard to distinctions between IDH-mutant astrocytoma and IDH-mutant, 1p/19q codeleted oligodendroglioma. To address this knowledge gap, we subjected dissociated tumor suspensions derived from 7 astrocytoma and 7 oligodendroglioma clinical samples to flow cytometry-based sorting for the pan-immune marker, CD45, and the microglial marker, P2RY12. This process yielded both microglial and non-microglial immune cell populations, which were then analyzed by scRNA sequencing. This workflow revealed a single large cluster of microglia, characterized by expression of Galectin-1 and lysosomal Lipase A, which was present at a significantly higher level in oligodendroglioma. While the biological significance of this cluster is unclear, gene set enrichment analysis exploring phenotypic differences between microglia in astrocytoma and oligodendroglioma revealed significant increases in expression of gene sets related to antigen presentation in astrocytoma. Parallel analysis of the non-microglial immune fraction showed an increase in the expression of pro-inflammatory gene sets, such as genes related to cytokine secretion, within the CD8 T-cell compartment of astrocytomas. We also observed upregulation of the expression of inflammatory gene sets within the dendritic cells of astrocytomas. Taken together, these changes suggest that the immune compartment of astrocytoma is more active and inflamed, and targeting the immune system in these tumors may represent a potential therapeutic avenue.

Abstract BACKGROUND CODEX (CO-Detection by indEXing) imaging has emerged as a pivotal tool in cellular biology, providing unprecedented insights into cellular distributions and interactions within the tissue microenvironment, crucial for advancing computational pathology. Despite its advantages, CODEX is susceptible to stitching errors during the merging of image tiles, which can significantly distort spatial analysis by introducing artifacts that obscure true cellular architecture. METHODS Addressing this challenge, we introduce CISD (CODEX Image Stitch Detection), a novel, user-friendly algorithm optimized for the detection of stitching artifacts in large-scale CODEX datasets. Developed and validated using a comprehensive dataset from 7 matched glioblastoma patients—encompassing over 2800 images across 29 immune protein markers—CISD utilizes a combination of image preprocessing, statistical measures, and thresholding to detect stitching errors. RESULTS CISD demonstrates robust performance, achieving a median Area Under Curve (AUC) value in the gold standard dataset where 73% of markers exceed 70% AUC, and 17% surpass 90%. Further validation shows that in a secondary dataset, 45% of markers maintain AUC values over 70% with 38% exceeding 90%, validating the algorithm’s consistent efficacy across varied datasets. CONCLUSION CISD’s significance lies not only in its computational achievements but also in its accessibility, facilitating high-quality analysis of extensive datasets without complex pattern recognition requirements. This democratizes high-precision computational pathology, enabling more researchers to accurately analyze spatial data. By reducing technical barriers, CISD sets a new benchmark in CODEX imaging, enhancing data reliability and accelerating research discoveries in cellular biology. This innovation stands to substantially refine spatial analysis in digital pathology, ensuring dependable interpretation of complex biological data.