Construction of a risk prediction model for colorectal cancer prognosis and immunotherapy based on angiogenesis-related gene

Many angiogenesis-related genes (ARGs) regulate angiogenesis, which is closely linked to the immune microenvironment and prognosis of colorectal cancer patients (CRC). The purpose of this study was to develop an ARG-based prognostic model that could effectively predict the prognosis and immunotherapy response of colorectal cancer patients. To investigate the difference in immune cell infiltration abundance between Cluster 1 (high ARGs, C1) and Cluster 2 (low ARGs, C2), CRC data for CRC patients were obtained from the public database. The results showed that C2 had a lower percentage of immune cells, particularly CD4+ T cells, entering its body. Additionally, a model based on C1 and C2 differential expression genes (DEGs) was created. The validation results demonstrated that the ARGs-DEGs model could properly predict CRC patients' survival and generate prognostic risk classification. Using a combination of clinical characteristics and univariate and multivariate COX regression analysis, the ARGs-DEGs model's risk score was identified as an independent risk factor for colorectal cancer patients. The prognosis of CRC patients can be predicted more precisely with extra Norman chart creation and the incorporation of numerous clinical factors. Furthermore, our additional research demonstrated that signaling pathways involved in extracellular matrix remodeling and intercellular communication may be potential mechanisms of the ARGs-DEGs paradigm. Based on the distribution of immunological checkpoints, we discovered significant differences between the high-risk and low-risk groups, implying that the low-risk groups may have responded better to immunotherapy.