Development and validation of a prognostic prediction model for gastric cancer based on lipophagy-related genes

In this study, a risk model was constructed based on five prognostic genes (AKAP12, BST1, DCBLD1, PDK4, and SPART). A nomogram was established by integrating each patient's risk score and clinical features (age, gender, and tumor stage). This model exhibits preliminary prognostic discrimination ability in both the training set and the validation set; however, its predictive accuracy is limited and requires further optimization.