Additional file 1 of Spatial immunogenomic patterns associated with lymph node metastasis in lung adenocarcinoma

Additional file 1: Table 1. Preoperative clinicopathologic and genomic features associated with pathologic LN metastasis in PKPH NGS cohort. Table 2.1. Patterns of co-occurrence and mutual exclusivity in the PKPH NGS cohort. Table 2.2. Co-occurrence and mutual exclusivity patterns in the pN positive patients of the PKPH NGS cohort. Table 2.3. Co-occurrence and mutual exclusivity patterns in the pN negative patients of the PKPH NGS cohort. Table 3. Glossary. Table 4. Clinicopathologic characteristics of the PKTOI cohort. Figure 1. Univariable and Multivariable Logistic Regression Analysis. A: Univariable logistic regression analysis was performed on preoperative clinicopathologic and genomic features associated with pathologic LN metastasis in the NGS cohort. B: Multivariable logistic regression analysis was conducted on preoperative clinicopathologic and genomic features associated with pathologic LN metastasis in the NGS cohort. Variables with p 0.05). C: Statistical analysis revealed a positive correlation between CNs enriched in CD8+ and CD4+ T cells (CN 1) and the proportion of T cell metaclusters (p 0.05). D: Immunogenomic patterns were integrated with genetic alterations and CNs in our PKPH cohort. Abbreviations: CN, cellular neighborhoods; PKPH, Peking University People’s Hospital. Figure 6. ImGene Model Predicted the LN Stage. A, B, C: The assessment indices of the ImGene multimodel, using genetic and mIHC data, exhibited superior performance compared to the ImFeatures monomodels on both the training and validation sets. D: The ROC curve of the PKU and FUDAN N2 stage prediction model was presented. Abbreviations: PKPH, Peking University People’s Hospital; PKTOI, Peking University People’s Hospital Thoracic Oncology Institution; ROC, receiver operating characteristic; PKU, Peking University.