PREMIS
Predictive markers for immunological adverse events (IrAE) in patients treated with immunostimulant drugs
In oncology, immunostimulatory drugs, in particular immune checkpoint inhibitors targeting PD-1/PD-L1 and CTLA4, are revolutionising the treatment of many cancers. The number of patients treated with these molecules is increasing remarkably, with the granting of numerous marketing authorisations and the setting up of numerous clinical trials, particularly with combinations, in many indications.
These new treatments are generating a new type of inflammatory or autoimmune adverse event (AEI), which can affect all organs and can be severe or even fatal if not detected quickly and managed adequately. The risk of developing irAE is greater when patients are treated with combinations of immunotherapies than with monotherapy.
There is currently no way to predict the occurrence of irAE in patients treated with immunotherapy. The induction of immunity depends on the immune status of the host and differs from patient to patient. The mechanisms responsible for the occurrence of irAE have not yet been elucidated. Their understanding is necessary to identify patients at risk and to manage these toxicities more specifically.
The PREMIS study - Predictive markers of immunological adverse events (IrAE) in patients treated with immunostimulatory drugs - is a low-risk, low-constraint interventional research study promoted by Gustave Roussy, whose main objective is to identify non-invasive predictive biomarkers of irAE in patients treated with immunotherapy.
The study will include 1000 patients treated for cancer with a monoclonal antibody targeting immune checkpoints (mainly anti-PD1, anti-PD-L1, anti-CTLA4 and combination immunotherapies), regardless of indication and line of treatment.
The study was set up at Gustave Roussy at the end of September 2018.
Clinical data and biological samples are being collected from all patients just prior to the start of immunotherapy treatment and at 6 weeks of treatment initiation and from patients with irAE, at the time of irAE occurrence.
The data from the samples will allow the identification of immune and biological biomarkers, either pre-existing to the treatment or appearing shortly after the initiation of the treatment, predisposing the patients to develop irAE.
The results will allow us to propose appropriate strategies for the prevention and management of irAE, to make the use of immunotherapy safer and improve the prognosis of treated patients.
They will also contribute to the development of personalised medicine in the field of immunotherapy.