Biomarkers for predicting immunotherapy response and resistance in glioblastoma - Report - MDSpire

Biomarkers for predicting immunotherapy response and resistance in glioblastoma

  • By

  • Samuel Kim

  • Matthew Abikenari

  • Brandon Bergsneider

  • Lily H. Kim

  • Michael Lim

  • May 5, 2026

  • 0 min

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Clinical Report: Biomarkers for Assessing Response and Resistance to Immunotherapy in Glioblastoma

Overview

This report discusses the urgent need for biomarkers to predict immunotherapy response in glioblastoma (GBM) patients. Current mechanistic biomarkers show inconsistent results, while new signals that depend on the context of the tumor environment are emerging as promising indicators.

Background

Glioblastoma is the most aggressive primary brain tumor in adults, with a median survival of only 12-18 months despite standard treatments such as surgery, radiotherapy, and temozolomide. The lack of validated biomarkers hampers the ability to predict which patients will benefit from immunotherapy, making biomarker discovery critical for advancing treatment options. Understanding the mechanisms of resistance and response to immunotherapy is essential for improving patient outcomes.

Data Highlights

No numerical data available in the source material.

Key Findings

  • Current immunotherapy trials for GBM have not met survival endpoint criteria.
  • Mechanistically-driven biomarkers like PD-1/PD-L1 enrichment and tumor mutational burden have shown inconsistent predictive value.
  • New biomarker signals, including interferon signaling and immune cell population studies, show promise for vaccine-based therapies.
  • Liquid biopsy and machine learning advancements are aiding in the development of nuanced biomarker signatures.
  • Standardization of biomarkers in GBM immunotherapy is crucial for effective clinical trial designs.

Clinical Implications

Clinicians should be aware of the evolving landscape of biomarkers in GBM to better identify patients who may benefit from immunotherapy. Incorporating specific biomarker-driven endpoints, such as PD-L1 expression levels or tumor mutational burden, in clinical trials is essential for advancing personalized treatment strategies.

Conclusion

The identification and validation of biomarkers for GBM are critical for improving the efficacy of immunotherapy. Ongoing research and clinical trials, such as those exploring novel combinations of therapies, will play a pivotal role in shaping future treatment paradigms.

References

  1. Journal of Neuro-Oncology, 2016 -- Evaluation of potential circulating biomarkers for prediction of response to chemoradiation in patients with glioblastoma
  2. Journal of Neuro-Oncology, 2023 -- Immunological Biomarkers in Patients with Newly Diagnosed Glioblastoma Treated with the Stupp Protocol Following Neurosurgery: A Retrospective Analysis
  3. The ASCO Post, 2015 -- Glioblastoma: Novel Immunotherapy Approaches Generate Responses and Excitement
  4. Neuro-Oncology, 2023 -- Glioblastoma in adults: A Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions
  5. the asco post — Novel Tool for Predicting Response to Immunotherapy in Melanoma Under Study
  6. Glioblastoma in adults: A Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions | Neuro-Oncology | Oxford Academic
  7. Effect of Nivolumab vs Bevacizumab in Patients With Recurrent Glioblastoma: The CheckMate 143 Phase 3 Randomized Clinical Trial - PMC
  8. Glioblastoma in adults: A Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions | Neuro-Oncology | Oxford Academic

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