Montreal Immune-Related Adverse Events (MIRAE) Study

Background: During cancer development and progression, cancer cells evolve to evade natural anti-tumor immunity. One major pathway of immune evasion involves the engagement of co-inhibitory receptors present on the surface of T cells that modulate their activation status, and therefore their ability to directly or indirectly kill tumor cells. These receptors are known as immune checkpoint inhibitors (ICI). Blockade of ICI using antibodies leads to prolonged T cell activation and unleashes the anti-tumor activity of T cells. ICI treatment for cancer has led to unprecedented advances in cancer treatment by prolonging survival of patients with previously refractory cancers. Among these ICI, CTLA-4, PD-1 and PDL-1 inhibitors have been shown to be effective cancer immunotherapies, and many other ICIs are now in pre-clinical and clinical development. Although ICI cancer therapy is overall well tolerated, off-target immune reactions targeting healthy cells or tissues called immune-related adverse events (irAEs) develop in a substantial percentage of patients limiting the use of ICI therapy. irAEs target range from mild to severe and fatal. Currently, there are no reliable predictive biomarkers for the wide spectrum of irAEs and their clinical management in severe cases involves discontinuation of ICI therapy. The Montreal Immune-Related Adverse Events (MIRAE) study is a biobank that collects human biological specimens (e.g., tissue, blood, plasma, PBMCs, saliva, stool) and the associated clinical information from cancer patients treated with ICI with the purpose of promoting research to identify clinical and biological predictors and mechanisms of irAEs, evaluate the effects of immunomodulatory treatment of irAEs on tumor biology, and investigate treatment strategies to minimize irAEs. Objectives: 1. Identify biomarkers predictive of irAEs, including cellular, immunologic, genetic and microbial biomarkers; and 2. Evaluate the effects of immunomodulatory treatment of irAEs, and investigate treatment strategies that minimize irAEs and maximize ICI efficacy.