The model effectively captured cancer-associated genes and pathways—particularly those related to ERBB2 and PI3K/AKT signaling, immune regulation, and cell cycle control—showing superior biological relevance and interpretability compared to baseline methods. The gene discussed is AKT1; the disease is cancer.