11 September 2019 from 14:30 to 15:30

PhD defence of Mark van Bussel

Clinical pharmacology of anticancer agents with focus on neuro-oncology and biomarker assessment

Patients with leptomeningeal metastases have a poor prognosis with a one year survival rate of 16-24 percent. Metastases to the leptomeninges, the lining of the brain and spinal cord, surrounded by cerebrospinal fluid (CSF), are difficult to detect with the currently used techniques. New methods to detect circulating tumour cells in CSF are presented. Circulating tumour cells in CSF were isolated via magnetism and subsequently stained. The cells were counted one by one with a laser and a detector. In addition we were able to analyse the cells genetically which opens possibilities for targeted therapies.

Better diagnose

In patients with an epithelial tumor (e.g. breast- or lung cancer) and a clinical suspicion on leptomeningeal metastases circulating tumour cells were found in the CSF of  94 percent of the patients who were finally diagnosed with the disease. The diagnosis could be made in 76 percent of the patients with the method used in clinical practice, viz. microscopic examination of the CSF by the pathologist.

Antibodies

The clinical pharmacology of anticancer agents is described in part II. Generally it is assumed that large molecules like antibodies cannot penetrate and pass the blood brain barrier. However, encouraging results have been reported for immunotherapy with the antibodies nivolumab and ipilimumab in patients with melanoma brain metastases. We could detect nivolumab in the CSF and gave a perspective on the pharmacology of nivolumab and ipilimumab in melanoma brain metastases. Finally, potential novel drugs and novel combinations of drugs were investigated in phase I clinical trials and are described in this thesis.

Start date and time
11 September 2019 14:30
End date and time
11 September 2019 15:30
PhD candidate
M.T.J. van Bussel
Dissertation
Clinical pharmacology of anticancer agents with focus on neuro-oncology and biomarker assessment
PhD supervisor(s)
prof. dr. J.H. Beijnen
Co-supervisor(s)
dr. D. Brandsma