Evaluating the predictive value of angiogenesis-related genes for prognosis and immunotherapy response in prostate adenocarcinoma using machine learning and experimental approaches

• DOI: 10.3389/fimmu.2024.1416914
• Publication Date: 2024-05-16T04:52:31Z
• Authors: YaXuan Wang; JiaXing He; QingYun Zhao; Ji Bo; Yu Zhou; HaoDong Sun; BeiChen Ding; MingHua Ren
• Keywords: Male; 0301 basic medicine; Immunology; Adenocarcinoma; Machine Learning; angiogenesis; Biomarkers, Tumor; Humans; PRAD; 0303 health sciences; Neovascularization, Pathologic; Gene Expression Profiling; Prostatic Neoplasms; RC581-607; Prognosis; Gene Expression Regulation, Neoplastic; Molecular Docking Simulation; machine learning; biomarker; prognosis; Immunotherapy; Angiogenesis; Immunologic diseases. Allergy; Microtubule-Associated Proteins

Background Angiogenesis, the process of forming new blood vessels from pre-existing ones, plays a crucial role in development and advancement cancer. Although blocking angiogenesis has shown success treating different types solid tumors, its relevance prostate adenocarcinoma (PRAD) not been thoroughly investigated. Method This study utilized WGCNA method to identify angiogenesis-related genes assessed their diagnostic prognostic value patients with PRAD through cluster analysis. A model was constructed using multiple machine learning techniques, while developed employing LASSO algorithm, underscoring PRAD. Further analysis identified MAP7D3 as most significant gene among multivariate Cox regression various algorithms. The also investigated correlation between immune infiltration well drug sensitivity Molecular docking conducted assess binding affinity angiogenic drugs. Immunohistochemistry 60 tissue samples confirmed expression MAP7D3. Result Overall, 10 key demonstrated potential immune-related implications patients. is found be closely associated prognosis response immunotherapy. Through molecular studies, it revealed that exhibits high Furthermore, experimental data upregulation PRAD, correlating poorer prognosis. Conclusion Our important target