Carcinoembryonic antigen-expressing oncolytic measles virus derivative in recurrent glioblastoma: a phase 1 trial

Evanthia Galanis1,2, Katharine E Dooley3, S Keith Anderson3

  • 1Department of Oncology, Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA. galanis.evanthia@mayo.edu.

Nature Communications
|January 12, 2024
PubMed

Insights

Oncolytic measles virus (MV) derivatives show promise for treating glioblastoma (GBM). This trial found the MV-CEA treatment safe and well-tolerated, with encouraging survival rates and potential for personalized treatment strategies.

Area of Science:

  • Oncology
  • Virology
  • Immunotherapy

Background:

  • Glioblastoma (GBM) is the most aggressive brain tumor with limited treatment options.
  • Measles virus (MV) vaccine strains exhibit preclinical antitumor effects against GBM.
  • Oncolytic viruses are engineered to selectively infect and kill cancer cells.

Purpose of the Study:

  • To evaluate the safety and efficacy of an oncolytic measles virus derivative (MV-CEA) in patients with recurrent GBM.
  • To assess the correlation between viral replication, immune response, and clinical outcomes.
  • To explore potential biomarkers for treatment response.

Main Methods:

  • A Phase I clinical trial involving 22 recurrent GBM patients.
  • Administration of MV-CEA via resection cavity or intratumoral injection.
  • Monitoring of safety, toxicity, overall survival (OS), viremia, and immune responses.
  • Post-hoc analysis using a 22 interferon-stimulated gene (ISG) algorithm to correlate with viral activity and tumor microenvironment.

Main Results:

  • MV-CEA was well-tolerated up to the maximum feasible dose, with no dose-limiting toxicity observed.
  • Median OS was 11.6 months, with a 1-year survival rate of 45.5%, comparing favorably to controls.
  • A significant inverse correlation was found between an ISG-based algorithm and viral replication, indicating tumor microenvironment remodeling.

Conclusions:

  • Oncolytic MV derivatives, like MV-CEA, warrant further clinical investigation for GBM treatment.
  • The ISG-based DLDA algorithm shows potential as a predictive biomarker for treatment response and personalization.
  • The study supports the potential of oncolytic virotherapy in modifying the tumor immune microenvironment.

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