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In recent years, immunotherapy has become one of the important treatments for malignant tumors. Among them, PD-1 inhibitors have been widely used in clinical practice, and have shown a significant survival benefits in many patients. However, the incidence of immune-related adverse reactions (irAEs) of PD-1 inhibitors is relatively high, and severe cases can even threaten patients's life. At present, irAEs have become a bottleneck and it is urgent to establish a prevention strategy for the prediction of irAEs. In this study, the investigators intends to use Sintilimab as the research drug. A prospective cohort study was carried out. Part of the sample which was used as a training set would be detected for producing a time-series multi-dimensional data such as differential genes, metabolites and immune factors. Then gene expression programming (GEP) was used to explore the irAEs recognitio
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