Glioblastoma Series | Part 6: Seeing What Matters — Composite Diagnostics (Imaging × Transcriptome × CNV)

Seeing What Matters — Composite Diagnostics (Imaging × Transcriptome × CNV)

Therapy moves only when we can answer “for whom, when, and what.” This chapter maps a beginner-friendly framework for composite diagnostics across imaging, transcriptomic states, and copy-number signatures.

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Today’s Goals (3-Minute Preview)

  • Grasp the core molecular panel (MGMT, EGFR, TERT, PTEN, etc.).
  • Understand GBM-typical CNV signatures (chr7 gain/chr10 loss) and the pre-CC signature.
  • See what emerges by combining imaging (DTI, etc.) × molecular reads.
  • Adopt a lightweight reporting template you can use immediately.

Core Markers: The Minimum Viable Panel

Pathology & Molecular (Basics)

  • MGMT promoter methylation: temozolomide sensitivity.
  • TERT promoter mutations: common in adult GBM.
  • EGFR amplification/variants: e.g., EGFRvIII; growth signaling.
  • PTEN loss: PI3K–AKT axis activation.
  • IDH: most primary adult GBM are IDH-wildtype.

Copy-Number (CNV) & Signatures

  • chr7 gain / chr10 loss (7+/10−): hallmark GBM combination.
  • EGFR amp (7p) / PTEN loss (10q) often co-occur.
  • pre-CC signature: early alterations shared with the tumor mass.

Start with MGMT + CNV (7+/10−) + EGFR/TERT/PTEN; expand as your center allows.

Transcriptomic “Faces”: OPC/AC/MES (Implementation of Part 5)

Use gene-set signatures rather than single genes to classify states.

OPC-like

High cell cycleDNA synthesisWEE1-sensitive contexts

AC-like

Glial/metabolicContext-specific dependencies

MES-like

Inflammation/ECMInvasive/resistantMicroenvironment-linked

States form a continuum; therapy and milieu can tilt the balance (plasticity).

Composite Diagnostics: Imaging × Molecular

Imaging (examples)

  • DTI for fiber orientations → invasion pathways.
  • Contrast kinetics for angiogenesis/BBB leakage.
  • Texture metrics to quantify heterogeneity.

Molecular (examples)

  • 7+/10− with EGFR/PTEN for pathway dominance.
  • pre-CC signature for SVZ “seed” contribution.
  • OPC/AC/MES signatures for plasticity direction.

Interpretation Patterns

FindingHypothesisTherapeutic Hint
DTI shows tract-aligned spreadEstablished invasion routesAnti-invasion (ECM/adhesion) + anti-proliferation
7+/10− + EGFR amplificationGrowth/signal dominanceStandard backbone + pathway control (trial contexts)
High pre-CC signatureLarge “seed” contributionEarly intervention + microenvironment (MIF–CD74)
MES-skewed signatureInvasive/resistant biasStrengthen ECM/adhesion controls (+ cell cycle)
MGMT methylatedTMZ sensitivityExpect benefit from SOC ± TTF where applicable




Caveats & Pitfalls

  • Specimen quality and intratumoral heterogeneity shift results; re-biopsy at relapse when feasible.
  • Imaging distortion from edema/necrosis; use multimodal corroboration.
  • Signature drift under therapy (plasticity); track longitudinally.
  • Access varies by country; infrastructure/interpretation differ (see Part 8).

Quick Summary

  • MGMT + CNV (7+/10−) + EGFR/TERT/PTEN form the base.
  • OPC/AC/MES + pre-CC readouts capture “face” and “seed.”
  • Imaging × molecular alignment guides who/when/what.

My View

I read in layers: foundation (MGMT/CNV) → face (OPC/AC/MES) → seed (pre-CC) → niche (MIF–CD74) → pathway. That hierarchy makes it feasible to design fewer-move, deeper-reaching combinations. Next (Part 7), we’ll chart the global development landscape by modality.

Edited by the Morningglorysciences team.

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Author of this article

After completing graduate school, I studied at a Top tier research hospital in the U.S., where I was involved in the creation of treatments and therapeutics in earnest. I have worked for several major pharmaceutical companies, focusing on research, business, venture creation, and investment in the U.S. During this time, I also serve as a faculty member of graduate program at the university.

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