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April 5, 2026Cancer Research0 citations

Abstract 3961: Identifying the molecular signature of infiltrating edge cells in glioblastoma as drivers of tumour invasion and recurrence

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AIAlyona IvanovaSAShamini AyyadhuryYMYanxia Ma

Key Points

  • To characterize infiltrating edge cells in glioblastoma and identify their role in tumor invasion and recurrence.
  • Utilized high-definition spatial transcriptomics and spatial proteomics for profiling edge cells.
  • Performed integrative spatial investigation to map the tumor-brain interface.
  • Analyzed patterns of gene expression and cellular hierarchies within the infiltrative compartment.
  • Identified novel, spatially defined biomarkers specific to edge-derived cells.
  • Revealed active gene programs linked to neuronal pathways in invasive cells.
  • Demonstrated the potential of using these biomarkers for personalized treatment strategies.

Abstract

Abstract Glioblastoma (GBM) is the most common malignant brain tumor in adults. Despite extensive research, there haven’t been remarkable gains in resolving the seeds of GBM recurrence, and the outcomes for many patients suffering from this devastating disease remain poor. Our knowledge on GBM heterogeneity is mostly restricted to the surgically resectable tumor core, while functional characterization of tumor cells at the infiltrating edge remains largely elusive due to the presence of normal functional brain tissue in the peritumoral lesion. Edge-derived cells exhibit larger capacity for infiltrative expansion and are the main drivers of treatment failure and tumor recurrence, making them action targets for novel treatment approaches.In this study, we present a first-of-its-kind integrative spatial investigation of GBM, combining two complementary spatial omics modalities high-definition spatial transcriptomics (ST - Visium HD) and spatial proteomics (SP - COMET) to achieve a comprehensive morphological, transcriptomic, and proteomic characterization of invasive tumor edge in situ. This multimodal spatial framework enabled to resolve the complex molecular landscape of the GBM periphery and to identify druggable biomarkers specific to edge-derived malignant cell populations.By integrating pathologically annotated H Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3961.

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Cite This Study

Ivanova et al. (2026) studied this question.

synapsesocial.com/papers/69d1fcc0a79560c99a0a259ahttps://doi.org/10.1158/1538-7445.am2026-3961
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1PATH-25. Identifying the molecular signature of infiltrating edge cells in glioblastoma as drivers of tumour invasion and recurrence2025
  2. 232 IDENTIFYING THE MOLECULAR SIGNATURE OF INFILTRATING EDGE CELLS IN GLIOBLASTOMA AS DRIVERS OF TUMOUR INVASION AND RECURRENCE2025
  3. 3Abstract 5666: Exploring spatially resolved intra-tumoral heterogeneity of glioblastoma and neuronal mechanisms facilitating brain invasion2024 · 1 citations
  4. 4Abstract 1997: Integrative single-nuclei spatial transcriptomic profiling of primary and recurrent human glioblastoma reveals cell-specific EGFRvIII expression and ANXA1 signaling axis.2026
  5. 5Abstract 6676: Spatial proteomics and AI-driven analysis uncover therapeutic landscapes within the glioblastoma microenvironment2026