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1. A modified Delphi study to develop a practical guide for selecting patients with prostate cancer for active surveillance

2. Placebo comparator group selection and use in surgical trials: the ASPIRE project including expert workshop

3. Strategies adopted by men to deal with uncertainty and anxiety when following an active surveillance/monitoring protocol for localised prostate cancer and implications for care: a longitudinal qualitative study embedded within the ProtecT trial

4. Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data.

5. Regulation of Dense-Core Granule Replenishment by Autocrine BMP Signalling in Drosophila Secondary Cells.

6. Associations between an obesity related genetic variant (FTO rs9939609) and prostate cancer risk.

8. Organochlorine pesticide exposure and risk of prostate cancer development and progression: a systematic review [version 1; peer review: 2 approved with reservations]

9. AA9int: SNP interaction pattern search using non-hierarchical additive model set.

10. SNP interaction pattern identifier (SIPI): an intensive search for SNP-SNP interaction patterns.

12. Data from LYRIC/AEG-1 Is Targeted to Different Subcellular Compartments by Ubiquitinylation and Intrinsic Nuclear Localization Signals

14. Supplementary Figure 3 from Use of Macrophages to Target Therapeutic Adenovirus to Human Prostate Tumors

15. Supplementary Figure 1 from Use of Macrophages to Target Therapeutic Adenovirus to Human Prostate Tumors

17. Data from Use of Macrophages to Target Therapeutic Adenovirus to Human Prostate Tumors

19. Supplementary Figure 5 from Use of Macrophages to Target Therapeutic Adenovirus to Human Prostate Tumors

21. Supplementary Figure 2 from Use of Macrophages to Target Therapeutic Adenovirus to Human Prostate Tumors

22. Supplementary Figure 4 from Use of Macrophages to Target Therapeutic Adenovirus to Human Prostate Tumors

23. Cost-effectiveness analysis of prostate cancer screening in the UK:A decision model analysis based on the CAP trial

24. PD03-12 COVID-19 DISRUPTION TO PROSTATE CANCER MANAGEMENT IN A UK TERTIARY REFERRAL CENTRE

25. MP51-13 FLUORINE-18 (18F) PROSTATE-SPECIFIC MEMBRANE ANTIGEN (PSMA) POSITRON EMISSION TOMOGRAPHY (PET) AND THE DIAGNOSIS AND STAGING OF PRIMARY PROSTATE CANCER (PCA)

27. Precision surgery: the role of intra-operative real-time image guidance - outcomes from a multidisciplinary European consensus conference

28. Abstract 2171: The spatial landscape of clonal somatic mutations in benign and malignant tissue

29. Author Correction: Large-scale transcriptome-wide association study identifies new prostate cancer risk regions

31. 31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016): part two

32. Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks

33. Welcome

34. PROSPECTIV-a pilot trial of a nurse-led psychoeducational intervention delivered in primary care to prostate cancer survivors: study protocol for a randomised controlled trial

35. Prostate cancer cells home to bone using a novel in vivo model: modulation by the integrin antagonist GLPG0187

36. Estimating age and ethnic variation in the histological prevalence of prostate cancer to inform the impact of screening policies

37. Prostate

39. Evaluation of the frequency of putative prostate cancer stem cells in primary and metastatic prostate cancer

40. Re: Outpatient Urological Procedures in Antibiotic-Naïve Patients with Bladder Cancer with Asymptomatic Bacteriuria

41. Quality improvement report: Improving design and conduct of randomised trials by embedding them in qualitative research: ProtecT (prostate testing for cancer and treatment) study. Commentary: presenting unbiased information to patients can be difficult

42. Osteoprotegerin (OPG) is a survival factor for human prostate cancer cells

44. Welcome

50. Artificial intelligence and bladder cancer arrays

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