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Prostate Specific Antigen Dynamics and Features in Prostate Cancer

  • University of Hamburg
  • St. Bonifatius Hospital
  • University of Latvia
  • Paula Stradina Clinical University Hospital
  • Riga East University Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Despite the common use of the prostate-specific antigen (PSA) serum level as a tumour marker in diagnosis of prostate cancer, it seems that the PSA doubling time (PSADT) and PSA velocity (PSAV) could be more useful indicators of tumour behaviour and prognosis for patients. The aim of the study was to evaluate the value of PSAV and PSADT in the diagnosis of prostate cancer and their relationship with prostate cancer histopathological characteristics. Eighty-six patients undergoing radical prostatectomy were enrolled in the study. Based on the PSA measurements the PSA dynamic values were calculated: PSADT and PSAV. In addition, clinical and histo-pathological characteristics, including disease stage and prognostic groups were evaluated. The obtained results showed that the first PSA value was 4.29 ng/ml (1.28-13.56), the second PSA value was 7.76 ng/ml (7.60-47.60), and the third PSA value was 9.67 ng/ml (2.56-98.50). The median PSADT was 51.01 months (7.80-311.81) and the median PSAV was 2.66 ng/ml/per year (0.22-4.66). In addition, significant correlations between PSAV and pre- and post-operative Gleason score, and prognostic groups were observed. Significant correlation between PSADT and pre- and pos-toperative Gleason score and prognostic risk groups was demonstrated. This study demonstrated that PSAV and PSADT were significantly correlated with postoperative Gleason score and prognostic risk groups, demonstrating its role in the diagnosis of prostate cancer progression.

Original languageEnglish
Pages (from-to)328-334
Number of pages7
JournalProceedings of the Latvian Academy of Sciences, Section B: Natural, Exact, and Applied Sciences
Volume75
Issue number5
DOIs
Publication statusPublished - 1 Oct 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

OECD Field of Science

  • 3. Medical and Health Sciences

Keywords

  • prostate cancer
  • PSA-doubling time (PSADT)
  • PSA-velocity (PSAV)
  • risk stratification

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