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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Comparative Levels of Urinary Prostate‑specific Antigen and Microseminoprotein‑beta in Men with and without Prostate Cancer

Authors: Sanjay Parashar; Akshat Pathak; Hemlata Gupta; Sachin Singh Yadav;

Comparative Levels of Urinary Prostate‑specific Antigen and Microseminoprotein‑beta in Men with and without Prostate Cancer

Abstract

Introduction: The role of urinary proteomics in the diagnosis of prostate cancer (PCa) is undefined. Levels of urinary biomarkers such as prostate‑specific antigen (PSA) and microseminoprotein‑beta (MSMB) may differ between men with and without PCa. Objective: We tested this hypothesis using urine samples before and after digital rectal examination (DRE) in men with an indication for prostate biopsy. Materials and Methods: This prospective cohort study was done in Department of Urology, GRMC, Gwalior and approved by the institutional ethics committee and all individuals provided informed consent for inclusion. Men scheduled to undergo transrectal ultrasound (TRUS)‑guided biopsy of the prostate for suspicion of PCa due to either elevated PSA (>4 ng/mL) or a nodule on DRE were recruited. A sterile urine culture was confirmed before inclusion. Results: Seventy‑seven patients were recruited of whom 32 had PCa (Group A) and 45 had no cancer (Group B) on biopsy. The median (interquartile range) serum PSA was 49.6 (0.2–254) ng/ml. The median urine PSA (29.5 vs. 26.4 mg/dl) and MSMB (1.7 vs. 2.4 mg/dl) were similar in both groups at baseline. However, post‑DRE, both these metabolites rose in Group B but not in Group A, resulting in significantly higher post‑to‑pre values in Group B versus Group A. The post‑DRE urine PSA/MSMB ratio was also significantly different between the groups. Conclusions: Urinary PSA and MSMB rose significantly after DRE only in men without PCa. Post‑DRE urine PSA, MSMB, and PSA/MSMB ratio can differentiate PCa from benign pathology in men with an indication for prostate biopsy.

Introduction: The role of urinary proteomics in the diagnosis of prostate cancer (PCa) is undefined. Levels of urinary biomarkers such as prostate‑specific antigen (PSA) and microseminoprotein‑beta (MSMB) may differ between men with and without PCa. Objective: We tested this hypothesis using urine samples before and after digital rectal examination (DRE) in men with an indication for prostate biopsy. Materials and Methods: This prospective cohort study was done in Department of Urology, GRMC, Gwalior and approved by the institutional ethics committee and all individuals provided informed consent for inclusion. Men scheduled to undergo transrectal ultrasound (TRUS)‑guided biopsy of the prostate for suspicion of PCa due to either elevated PSA (>4 ng/mL) or a nodule on DRE were recruited. A sterile urine culture was confirmed before inclusion. Results: Seventy‑seven patients were recruited of whom 32 had PCa (Group A) and 45 had no cancer (Group B) on biopsy. The median (interquartile range) serum PSA was 49.6 (0.2–254) ng/ml. The median urine PSA (29.5 vs. 26.4 mg/dl) and MSMB (1.7 vs. 2.4 mg/dl) were similar in both groups at baseline. However, post‑DRE, both these metabolites rose in Group B but not in Group A, resulting in significantly higher post‑to‑pre values in Group B versus Group A. The post‑DRE urine PSA/MSMB ratio was also significantly different between the groups. Conclusions: Urinary PSA and MSMB rose significantly after DRE only in men without PCa. Post‑DRE urine PSA, MSMB, and PSA/MSMB ratio can differentiate PCa from benign pathology in men with an indication for prostate biopsy.

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Keywords

Prostate specific antigen, microseminoprotein‑beta, prostate cancer, TRUS, DRE.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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