Imaging Genomics Combined with Machine Learning to Explore the Impact of the Kinase Anchor Protein 12 Gene on Immunity and Survival in Gastric Cancer

Introduction: Kinase anchor protein 12 (AKAP12) has been widely studied and confirmed as a tumor suppressor in various cancers. However, its immune effects on gastric cancer have not been clarified. Therefore, we systematically analyzed the role of AKAP12 from multiple aspects of immunity using imaging genomics technology. In addition, we combined machine learning techniques to build and screen the best model for predicting gastric carcinogenesis. In conclusion, our study provides strong evidence that AKAP12 is closely related to tumor immunity in gastric cancer from multiple aspects, which supports the innovation of precision cancer management. Objective: Exploring the effect of AKAP12 gene expression on immunity and survival in gastric cancer. Materials and Methods: Relevant imaging genomics technology was used to analyze the mRNA data related to gastric cancer in The Cancer Genome Atlas database to study and evaluate the relationship between AKAP12 expression and tumor immunity. The best model for predicting gastric carcinogenesis was established and screened by using machine learning jointly. Results: AKAP12 is lowly expressed in gastric cancer and negatively correlated with its methylation. High expression of AKAP12 is positively correlated with survival time and a variety of immune-related genes and pathways. AKAP12 is also significantly correlated with relevant immune cell subpopulations in the tumor microenvironment. The Naive Bayesian Classification model is the best model to predict the expression level of AKAP12, which can better predict the risk of gastric cancer and the expression level of the gene, and realize the personalized and precise treatment of tumors. Conclusion: This study reveals the important role and significance of the AKAP12 gene in gastric cancer and discovers a simple, noninvasive, imaging genomics prediction model that can predict the expression level of the AKAP12 gene.