Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
e23562 Background: Tenascin-C (TNC) is an extracellular matrix glycoprotein highly expressed during embryogenesis but largely silent in adult tissues and re-activated in cancer and inflammation. We hypothesized that TNC shapes an immunosuppressive sarcoma microenvironment by organizing ECM–macrophage spatial relationships. Methods: We profiled a commercial soft-tissue sarcoma TMA (64 cases/192 FFPE cores) including liposarcoma, angiosarcoma, leiomyosarcoma, MPNST, and synovial sarcoma. Multiplex OPAL IF assessed TNC, Fibronectin, NRP1, CD68, and CD163. HALO analytics included segmentation, heatmaps, nearest-neighbor (NN) distances, proximity metrics, and neighborhood analysis. Heatmaps localized ECM/immune hotspots; area quantification measured TNC-ECM burden; proximity tested per-cell macrophage distances to TNC; NN captured shortest intercellular coupling. We also established 18 custom TMAs from 180 samples (90 first diagnosis and 90 paired metastasis/progression). A 37-plex COMET panel was optimized for these TMAs, covering ECM macrophage phenotypes, EMT/plasticity, stemness, angiogenesis, TLS/immune architecture, and proliferation. COMET image analysis and survival correlations are ongoing. The targeting peptide PL1 (binding to TNC/fibronectin) was tested in JBT-19 cells. JBT-19 xenografts were examined by multiplex staining. Results: In the commercial TMA, multiplex imaging revealed distinct TNC-rich ECM architectures across sarcoma types. HALO heatmaps demonstrated that TNC-dense ECM micro-domains frequently co-localized with macrophage-rich clusters. Spatial metrics showed preferential accumulation of CD68⁺ macrophages along TNC-positive boundaries, whereas CD163⁺ and NRP1⁺ TAMs were enriched within the core of TNC-rich niches. NN and proximity analyses revealed significantly shorter macrophage–ECM distances (~10–20 µm) in these regions, suggesting directed positioning rather than random infiltration. Neighborhood mapping highlighted stable CD163⁺/NRP1⁺ TAM communities associated with TNC-structured ECM. JBT-19 xenografts recapitulated strong TNC and Fibronectin expression. PL1 peptide bound robustly to JBT-19 cells. COMET staining across 18 TMAs is fully established; quantitative spatial metrics and clinical-outcome mapping will be finalized before the congress. Conclusions: TNC-structured, TAM-enriched ECM niches constitute an immune-exclusion architecture that likely impedes T-cell trafficking and cytotoxicity in sarcoma. This stromal configuration may underpin resistance to immune-checkpoint therapies and contribute to suboptimal responses to cell therapies such as TCR-T. Xenograft staining corroborates the presence of TNC-rich matrix domains in vivo, and robust PL1 binding in JBT-19 cells underscores their tractability as therapeutic targets. Final COMET-based spatial metrics and outcome correlations will be presented at the meeting.