Abstract
BACKGROUND: The expression of angiogenesis-associated genes affects the development of colorectal cancer (CRC). In this study, we aimed to develop and evaluate a method to predict survival outcomes in patients with CRC. METHODS: We investigated the expression of CRC angiogenesis-associated genes using various public databases and identified diverse molecular subtypes. We built an angiogenesis-associated prediction model to forecast patient survival in CRC using the least absolute shrinkage and selection operator and multifactorial COX regression and confirmed its reliable predictive ability. RESULTS: The model accurately reflected tumor microsatellite status, immune cell infiltration, and mutation burden. In addition, the model was significantly correlated with drug sensitivity; thus, it can guide the personalized treatment of tumors. Finally, the status of some prognosis-related genes was verified in clinical samples. CONCLUSIONS: This study identified angiogenesis-associated molecular subtypes of CRC and constructed a prognostic model. This signature may provide a new basis for clinical judgment of patient prognosis and personalized therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-025-15088-7.