Mendelian Randomization and Multi-Omics Analysis of Antibody-Mediated Immune Response in Relation to Pancreatic Cancer Risk and Drug Target Identification

Fig2. Causal Effects of Antibodies on PC RiskFig3. Sensitivity Analyses of Four Antibodies with Significant Causal Associations to PC RiskFig4. Differential Expression of Significant Genes in Various DatabasesFig5. Prognostic Model Development and Validation Using Random Forest AlgorithmFig6. Single-Cell Analysis of HK2 and DTNA in Pancreatic CancerFig7. Immunotherapy Response and Expression Patterns of HK2 and DTNAFig8. Forest plot of drug sensitivity analysis

图2 抗体对胰腺癌（Pancreatic Cancer，PC）风险的因果效应
图3 四种与胰腺癌风险存在显著因果关联的抗体的敏感性分析
图4 多数据库中显著基因的差异表达情况
图5 基于随机森林（Random Forest）算法的预后模型构建与验证
图6 胰腺癌中HK2与DTNA的单细胞分析
图7 HK2与DTNA的免疫治疗响应及表达模式
图8 药物敏感性分析的森林图