A Phase Ia/b study of MEK1/2 inhibitor PD-0325901 or MEK-162 with cMET inhibitor PF-02341066 in RASMT and RASWT (with aberrant c-MET) Colorectal Cancer Patients.

Funding: EU-FP7 (Grant agreement ID: 602901); Principal investigator for MUNI: Vlad Popovici

Objective

Colorectal cancer (CRC) is the 3rd most common cancer in Europe, and with approximately 200,000 deaths per year, it remains the 2nd most common cause of cancer death. More than half of all CRC patients develop distant metastases and have 5-year overall survival (OS) of less than 5% because of ineffective treatments. Increased understanding of cancer biology, coupled with the implementation of “omics”-based approaches, has revealed that cancer must be considered a heterogeneous disease. Historically, “one-size-fits-all” approaches have been standard practice in CRC treatment, but with the increased understanding of the molecular/genetic heterogeneity of CRC, it is clear that novel treatments must be developed and tested in selected subgroups to maximize the benefit of these new developments. MErCuRIC is a multicentre phase Ia/b clinical trial which will assess a novel therapeutic strategy (combined treatment of a MEK inhibitor PD-0325901 or MEK-162 with a MET inhibitor PF-02341066) to combat metastasis, improve survival and change current clinical practice for CRC patients with RAS mutant (MT) and RAS wild type (WT) (with aberrant c-MET) tumours. The consortium will go beyond the current state-of-the-art by (i) employing a novel treatment strategy targeting the biology of the disease and by (ii) using next generation sequencing (NGS) and ‘xenopatients’ to identify CRC patient subgroups who will maximally benefit from this novel treatment strategy.

Results

The PK analyses found that giving Binimetinib with Crizotinib did not affect the PK of Binimetinib compared to giving Binimetinib alone. A Phase Ib (dose expansion) study was undertaken with Binimetinib and Crizotinib with mCRC patients, with the aim of looking at three sub-groups of mCRC patients expected to respond to the therapy. Interim analyses found no clinical response in one sub-group, though PD results showed evidence of inhibition of the targeted molecular pathways. Recruitment to the remaining two sub-groups proved infeasible due to the rarity of patients.

See also

Final report

Vlad Popovici
Vlad Popovici
Associate Professor of Computer Science

My research interests include computational pathology, machine learning and biomarker discovery.