Immunotherapy based on immune checkpoint inhibitors (ICIs) has revolutionised the cancer therapy field. ICIs harness the patient’s own immune system to fight cancer, producing unprecedented durable remissions in a subset of patients. Over the last decade, multiple ICIs such as PD-1, PD-L1 and CTLA-4 inhibitors have been approved for treating a broad range of cancer types. However, despite the remarkable success of ICI therapy, it is estimated that only 20-30% of patients respond to treatment, for reasons that are not well understood. This is a major unmet need, namely, to develop predictive biomarkers for identifying patients who are likely to benefit from ICIs. While currently there are several clinically validated predictive biomarkers for ICI immunotherapies including tumour expression of PD-L1; tumour mutational burden (TMB); and tumour microsatellite instability (MSI), their predictive power is quite limited. Additionally, many of these biomarker tests require tumour biopsies sampled by an invasive procedure that is not always possible. In this project, our objective is to identify a new biomarker with superior predictive power, and that can be taken with a minimally invasive procedure. These efforts will expand the benefit for cancer patients, allowing only those who will respond to therapy administered with ICI, while the rest will not suffer from the side effects and will be provided with additional therapeutic options if they are more likely not to respond to ICI therapy.