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4. Looking beyond workforce parity: addressing gender inequity in pathology

5. Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

6. African-specific molecular taxonomy of prostate cancer

8. The association between quality care and outcomes for a real-world population of Australian patients diagnosed with pancreatic cancer

10. Genomic and Molecular Analyses Identify Molecular Subtypes of Pancreatic Cancer Recurrence

11. Lynch syndrome testing of colorectal cancer patients in a high-income country with universal healthcare: a retrospective study of current practice and gaps in seven australian hospitals

14. Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

15. Targeting DNA Damage Response and Replication Stress in Pancreatic Cancer

16. HNF4A and GATA6 Loss Reveals Therapeutically Actionable Subtypes in Pancreatic Cancer

17. Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

18. Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading

19. Monitoring quality of care for patients with pancreatic cancer: a modified Delphi consensus

20. Whole genomes redefine the mutational landscape of pancreatic cancer

25. Surveillance after prostate focal therapy

28. Common activation of canonical Wnt signaling in pancreatic adenocarcinoma.

29. Common Activation of Canonical Wnt Signaling in Pancreatic Adenocarcinoma

30. Precision Oncology in Surgery: Patient Selection for Operable Pancreatic Cancer

31. Reporting Practices and Resource Utilization in the Era of Intraductal Carcinoma of the Prostate: A Survey of Genitourinary Subspecialists

32. Hypermutation In Pancreatic Cancer

34. Data from Lipidomic Profiling of Clinical Prostate Cancer Reveals Targetable Alterations in Membrane Lipid Composition

35. Data from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

36. Supplementary Figure 1 from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

37. Supplementary Figure 4 from Epigenetic Deregulation Across Chromosome 2q14.2 Differentiates Normal from Prostate Cancer and Provides a Regional Panel of Novel DNA Methylation Cancer Biomarkers

38. Supplementary Figure 3 from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

39. Supplementary Figure 2 from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

40. Supplementary Figure 5 from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

41. Supplementary Figure 1 from Epigenetic Deregulation Across Chromosome 2q14.2 Differentiates Normal from Prostate Cancer and Provides a Regional Panel of Novel DNA Methylation Cancer Biomarkers

42. Supplementary Table 2 from Comparative Biomarker Expression and RNA Integrity in Biospecimens Derived from Radical Retropubic and Robot-Assisted Laparoscopic Prostatectomies

43. Supplementary Table 2 from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

44. Supplementary Tables 1-3 from Epigenetic Deregulation Across Chromosome 2q14.2 Differentiates Normal from Prostate Cancer and Provides a Regional Panel of Novel DNA Methylation Cancer Biomarkers

45. Supplementary Figure 4 from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

46. Supplementary Table S1 from Lipidomic Profiling of Clinical Prostate Cancer Reveals Targetable Alterations in Membrane Lipid Composition

47. Supplementary Figure Legend from Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development

48. Data from Epigenetic Deregulation Across Chromosome 2q14.2 Differentiates Normal from Prostate Cancer and Provides a Regional Panel of Novel DNA Methylation Cancer Biomarkers

49. Supplementary Figures S1-S6 from Lipidomic Profiling of Clinical Prostate Cancer Reveals Targetable Alterations in Membrane Lipid Composition

50. Supplementary Table 1 from Comparative Biomarker Expression and RNA Integrity in Biospecimens Derived from Radical Retropubic and Robot-Assisted Laparoscopic Prostatectomies

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