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.

Abstract

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.