Additional file 1 of Identification of a protein signature for predicting overall survival of hepatocellular carcinoma: a study based on data mining

Additional file 1:Table S1. The detailed clinical information of CPTAC-HCC patients. Table S2. The 422 differentially expressed proteins identified using the CPTAC database. Table S3. A total of 542 interactions and 236 nodes screened to establish the PPI network. Table S4. The top five most contiguous nodes: CDK1, AOX1, CYP2E1, CYP3A4, and TOP2A. Table S5. Cox regression analysis of the identified 105 survival-related proteins. Table S6. Univariate Cox regression analysis of survival-related proteins. Table S7. Multivariate Cox regression analysis of survival-related proteins and 41 proteins identified as independent prognostic factors for OS. Table S8. ROC curves investigating the use of the protein patterns as early predictors of HCC incidence and the 8 proteins with AUC value above 0.7. Table S9. The relationship between the 8 proteins and clinical factors. Table S10. Univariate Cox regression analysis exploring the expression of survival-related proteins in the TCPA database.