Additional file 2 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 2: Supplementary table 1. Univariate and Multivariate analysis of prognostic factors affecting OS

Additional file 3 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 3: Supplementary table 2. Univariate and Multivariate analysis of prognostic factors affecting CS

Additional file 8 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 8

Additional file 5 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 5: Supplementary table 3. Discriminatory ability of clinicopathological factors in predicting OS in gastric cancer

Additional file 4 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 4: Supplementary figure 2. Heatmap of C-index of clinicopathological factors in predicting CSS and OS in gastric cancer

Additional file 6 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 6: Supplementary table 4. C-index of clinicopathological factors in subgroup

Additional file 1 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 1. Material and Methods

Additional file 7 of Tumor size as a significant prognostic factor in T1 gastric cancer: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Additional file 7: Supplementary figure 3. Survival analysis of CSS and OS stratified by tumor size

Additional file 1 of Microvesicles from bone marrow-derived mesenchymal stem cells promote Helicobacter pylori-associated gastric cancer progression by transferring thrombospondin-2

Additional file 1: Supporting Figure 1. Phenotype identification and induced differentiation of BMSCs. A: Flow cytometry identifies the phenotype of BMSCs. CD44, CD73, CD105, and Sca-1 are positive, and CD11b and CD45 are negative. B: BMSCs are induced to differentiate into osteogenic, fat, and cartilage cells