Background

First-line therapies that inhibit the overactivated BRAF kinase (BRAFi) initially show high effectiveness but fail to control melanoma brain metastases (MBM) durably due to acquired or intrinsic resistance mechanisms. Therapy-resistant tumour cells lead to progressive intracranial disease in 40-60% of patients and a poor prognosis. The consortium already discovered activation of the tyrosine kinase receptor MET in MBM, possibly mediating resistance to therapy.

Hypothesis

Intracranial resistance is genetically and spatially controlled by activation of MET-driven molecular programs determining the therapeutic response of MBM to BRAFi. The consortium proposes that brain-penetrable ATP-competitive small molecule MET inhibitors (METi) in combination with BRAFi may represent a promising strategy to combat tumour recurrence in the brain and improve the survival of patients with BRAFi-refractory melanoma.

Aims

The pharmacogenomic study aims on

  1. Identification of genetic aberrations, spatial tumour-stromal interaction mechanisms and regulators that promote MET activation and thus resistance to BRAFi in MBM.
  2. Development of cellular reporters for live-cell imaging-based tracking of MAPK-activation downstream of MET receptor and for in vitro testing of highly effective tumour cell-eliminating METi/BRAFi combinations.
  3. Evaluation of the effect of METi/BRAFi on the cellular composition of established brain tumours in preclinical in vivo models in response to BRAFi/METi.
  4. Determination of pharmacogenomic biomarkers and molecular signatures for predicting therapy response and resistance. The consoritum’s vision is to combat therapy-resistance in patients with MBM.
  5. Explore our findings’ translation path, supported by industry and healthcare stakeholder groups.

The project in a nutshell

The project´s main aim and the consoritum’s vision is to combat therapy-resistance in patients with melanoma brain metastases through spatial transcriptomic and genetic profiling and pre-clinical and in-silico models.