Introduction: Treatment with ICIs is leading to a remarkable improvement in the prognosis of several types of cancer. However, the expansion of these drugs in the field of oncology is also causing the emergence of a large diversity of irAEs, whose optimal prevention and management are still to be clarified. Nowadays, there is a growing need for reliable and validated biomarkers to predict the occurrence of irAEs in patients treated with ICIs.~Purpose: To assess the effectiveness of a battery of autoantibodies available in a laboratory of autoimmunity to predict the occurrence of irAEs in patients with cancer who will be treated with ICIs per standard protocol.~Methods: A multicenter prospective observational cohort study was designed to include a total of 221 patients diagnosed with cancer amenable to treatment with ICIs. During a period of 48 weeks, patients will be controlled in the oncology outpatient clinics of five university hospitals with accredited experience in the management of immunotherapy. Immune-related adverse events will be defined and categorized according to CTCAE v. 5.0. Considering a proportion of irAEs and losses to follow-up of 25% and 5% respectively, a sample size of 221 patients was calculated to estimate an expected sensitivity of the autoantibody battery of 0.90 with a 95% confidence interval not lower than 0.75. All the participants will undergo ordinary blood tests at specific moments predefined per protocol and extraordinary blood tests at the time of the detection of an eventual irAE. Both ordinary and extraordinary samples will be frozen and stored in the biobank of each participating hospital in the form of serum and buffy coat. Once the whole cohort reaches the 24th week (intermediate analysis) and the 48th week (definitive analysis), all the samples will be centralized in the same autoimmunity laboratory for the determination of the autoantibody battery. A predictive model of irAEs will be constructed with the autoantibodies together with other potential risk factors of immune-mediated toxicity.
The aim of this study is to assess the effectiveness of a battery of autoantibodies to predict the occurrence of immune-related adverse events (irAEs) in patients with cancer who will be treated with immune checkpoint inhibitors (ICIs) per standard protocol.