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1. Bayesian risk prediction model for colorectal cancer mortality through integration of clinicopathologic and genomic data

3. An Empirical Dietary Pattern Associated With the Gut Microbial Features in Relation to Colorectal Cancer Risk

4. Downregulation of 15-PGDH enhances MASH-HCC development via fatty acid-induced T-cell exhaustion

6. Immune cell profiles in the tumor microenvironment of early-onset, intermediate-onset, and later-onset colorectal cancer

7. Smoking and colorectal cancer survival in relation to tumor LINE-1 methylation levels: a prospective cohort study

8. Clinicopathological, molecular, and prognostic features of colorectal carcinomas with KRAS c.34G>T (p.G12C) mutation.

9. An integrated analysis of lymphocytic reaction, tumour molecular characteristics and patient survival in colorectal cancer

10. Postoperative nonalcoholic fatty liver disease is correlated with malnutrition leading to an unpreferable clinical course for pancreatic cancer patients undergoing pancreaticoduodenectomy

19. Data from The Prognostic Role of Macrophage Polarization in the Colorectal Cancer Microenvironment

20. Supplementary Data from Spatial Organization and Prognostic Significance of NK and NKT-like Cells via Multimarker Analysis of the Colorectal Cancer Microenvironment

21. Supplementary Tables S1-S8. Supplementary Figures S1-S12. from The Prognostic Role of Macrophage Polarization in the Colorectal Cancer Microenvironment

22. Data from Spatial Organization and Prognostic Significance of NK and NKT-like Cells via Multimarker Analysis of the Colorectal Cancer Microenvironment

23. Data from Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer

24. Supplementary Figure S1 from Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer

25. Supplementary Data from Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer

26. Supplementary Tables S1-S10. Supplementary Figures S1-S5. from Prognostic Significance of Immune Cell Populations Identified by Machine Learning in Colorectal Cancer Using Routine Hematoxylin and Eosin–Stained Sections

27. Supplementary Data from Extracellular Vesicles from Cancer-Associated Fibroblasts Containing Annexin A6 Induces FAK-YAP Activation by Stabilizing β1 Integrin, Enhancing Drug Resistance

28. Supplementary Movie 2 from Extracellular Vesicles from Cancer-Associated Fibroblasts Containing Annexin A6 Induces FAK-YAP Activation by Stabilizing β1 Integrin, Enhancing Drug Resistance

29. Supplementary Movie 1 from Extracellular Vesicles from Cancer-Associated Fibroblasts Containing Annexin A6 Induces FAK-YAP Activation by Stabilizing β1 Integrin, Enhancing Drug Resistance

31. Significance of lymph node metastasis in pancreatic neuroendocrine tumor

35. Shape and Enhancement Characteristics of Pancreatic Neuroendocrine Tumor on Preoperative Contrast-enhanced Computed Tomography May be Prognostic Indicators

38. Western-Style Diet, pks Island-Carrying Escherichia coli, and Colorectal Cancer: Analyses From Two Large Prospective Cohort Studies

40. Cystic gastric metastasis from pancreatic cancer

48. Tumor microenvironmental 15‐PGDH depletion promotes fibrotic tumor formation and angiogenesis in pancreatic cancer

49. Healthy and unhealthy plant‐based diets in relation to the incidence of colorectal cancer overall and by molecular subtypes

50. Preoperative platelet‐to‐lymphocyte ratio can predict recurrence beyond the Milan criteria after hepatectomy for patients with hepatocellular carcinoma

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