Treating ICB-resistant glioma with anti-CD40 and mitotic spindle checkpoint controller BAL101553 (lisavanbulin)

Vassilis Genoud1,2, Felipe I Espinoza1, Eliana Marinari1

  • 1Translational Research Center for Hemato-Oncology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

JCI Insight
|August 17, 2021
PubMed

Insights

The mitosis drug BAL101553 (lisavanbulin) shows promise for glioblastoma, improving survival in resistant models and synergizing with immunotherapy. This highlights the need for personalized glioblastoma treatment strategies.

Area of Science:

  • Neuro-oncology
  • Immunotherapy
  • Cancer Biology

Background:

  • Glioblastoma is a deadly brain cancer with limited treatment options.
  • Current immune checkpoint blockade therapies have shown minimal impact on glioblastoma.
  • Targeting mitosis may alter the tumor microenvironment and enhance immunotherapy response.

Purpose of the Study:

  • To evaluate the efficacy of BAL101553 (lisavanbulin) in combination with immunotherapies for glioblastoma.
  • To investigate the impact of these combinations on different glioblastoma immunogenicity models.
  • To explore genomic and immunological factors influencing treatment response.

Main Methods:

  • Utilized two glioblastoma mouse models (GL261 and SB28) with distinct immunogenicity.
  • Tested BAL101553, anti-CD40 antibody, and dual immune checkpoint blockade (anti-PD-1/anti-CTLA-4) individually and in combination.
  • Performed genomic and immunological analyses to interpret therapy responsiveness.

Main Results:

  • BAL101553 monotherapy improved survival in the immune checkpoint blockade-resistant SB28 model.
  • BAL101553 synergized with anti-CD40 antibody in a T cell-independent manner in SB28 tumors.
  • The immunogenic GL261 model responded best to anti-PD-1/anti-CTLA-4 therapy, with modest benefit from BAL101553 and anti-CD40 combination.

Conclusions:

  • BAL101553 is a promising glioblastoma therapeutic agent with potential to synergize with innate immune stimulation.
  • Treatment efficacy varies based on glioblastoma immunogenicity and mutational profile.
  • Immune profiling and model-specific preclinical testing are crucial for developing effective glioblastoma combination therapies.