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Updated: Dec 13, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
Temporospatial genomic profiling in glioblastoma identifies commonly altered core pathways underlying tumor
Mylan R Blomquist1,2, Shannon Fortin Ensign3, Fulvio D'Angelo4
1Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, Arizona, USA.
Background:
Tumor heterogeneity underlies resistance and disease progression in glioblastoma (GBM), and tumors most commonly recur adjacent to the surgical resection margins in contrast non-enhancing (NE) regions. To date, no targeted therapies have meaningfully altered overall patient survival in the up-front setting. The aim of this study was to characterize intratumoral heterogeneity in recurrent GBM using bulk samples from primary resection and recurrent samples taken from contrast-enhancing (EN) and contrast NE regions.
Methods:
Whole exome and RNA sequencing were performed on matched bulk primary and multiple recurrent EN and NE tumor samples from 16 GBM patients who received standard of care treatment alone or in combination with investigational clinical trial regimens.
Results:
Private mutations emerge across multi-region sampling in recurrent tumors. Genomic clonal analysis revealed increased enrichment in gene alterations regulating the G2M checkpoint, Kras signaling, Wnt signaling, and DNA repair in recurrent disease. Subsequent functional studies identified augmented PI3K/AKT transcriptional and protein activity throughout progression, validated by phospho-protein levels. Moreover, a mesenchymal transcriptional signature was observed in recurrent EN regions, which differed from the proneural signature in recurrent NE regions.
Conclusions:
Subclonal populations observed within bulk resected primary GBMs transcriptionally evolve across tumor recurrence (EN and NE regions) and exhibit aberrant gene expression of common signaling pathways that persist despite standard or targeted therapy. Our findings provide evidence that there are both adaptive and clonally mediated dependencies of GBM on key pathways, such as the PI3K/AKT axis, for survival across recurrences.
Insights
Tumor heterogeneity in glioblastoma (GBM) drives resistance and recurrence. Recurrent GBM shows evolving subclonal populations and altered signaling pathways, like PI3K/AKT, persisting despite therapy.
Area of Science:
- Neuro-oncology
- Cancer Genomics
- Molecular Biology
Background:
- Glioblastoma (GBM) exhibits tumor heterogeneity, leading to treatment resistance and disease progression.
- Recurrent GBM often appears near surgical margins in non-enhancing (NE) regions.
- Current therapies have not significantly improved overall survival for GBM patients.
Purpose of the Study:
- To characterize intratumoral heterogeneity in recurrent GBM.
- To analyze bulk samples from primary and recurrent tumors, including contrast-enhancing (EN) and NE regions.
Main Methods:
- Whole exome and RNA sequencing of matched primary and recurrent GBM samples from 16 patients.
- Analysis of tumors treated with standard care or investigational regimens.
Main Results:
- Emergence of private mutations in recurrent tumors across multi-region sampling.
- Genomic clonal analysis showed enrichment of alterations in G2M checkpoint, Kras, Wnt signaling, and DNA repair pathways.
- Augmented PI3K/AKT pathway activity and distinct transcriptional signatures (mesenchymal in EN, proneural in NE regions) were observed in recurrent GBM.
Conclusions:
- Subclonal GBM populations evolve transcriptionally during recurrence in both EN and NE regions.
- Aberrant gene expression in key signaling pathways, including PI3K/AKT, persists despite therapy.
- GBM exhibits adaptive and clonal dependencies on specific pathways for survival across recurrences.
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