Beeinflussung der PSA-Konzentration im Serum durch körperliche Belastung (insbesondere Fahrradfahren)

Kindermann, Wilfried; Lehmann, V.; Herrmann, Markus; Loch, Tillmann

doi:10.1007/s00120-010-2489-z

Cited by 12 publications

(4 citation statements)

References 31 publications

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“…Long-distance biking is an excellent model to study the combined effects of mechanical prostate stimulation by bicycle riding and strenuous endurance exercise [ 2 ]. Mejak and coworkers demonstrated that cycling causes a significant increase in total PSA level when measured within 5 min post-cycling [ 3 ], whereas similar results were also achieved in other studies [ 4 , 5 , 6 , 7 ]. On the other hand, other researchers report no changes in PSA level following cycling [ 8 , 9 , 10 ], showing the controversy of these types of studies.…”

Section: Introductionsupporting

confidence: 70%

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Influence of Long-Distance Bicycle Riding on Serum/Urinary Biomarkers of Prostate Cancer

Heger

Gumulec

Ondrak

et al. 2016

IJMS

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Herein, we present a study focused on the determination of the influence of long-distance (53 km) bicycle riding on levels of chosen biochemical urinary and serum prostate cancer (PCa) biomarkers total prostate-specific antigen (tPSA), free PSA (fPSA) and sarcosine. Fourteen healthy participants with no evidence of prostate diseases, in the age range from 49–57 years with a median of 52 years, underwent physical exercise (mean race time of 150 ± 20 min, elevation increase of 472 m) and pre- and post-ride blood/urine sampling. It was found that bicycle riding resulted in elevated serum uric acid (p = 0.001, median 271.76 vs. 308.44 µmol/L pre- and post-ride, respectively), lactate (p = 0.01, median 2.98 vs. 4.8 mmol/L) and C-reactive protein (p = 0.01, 0.0–0.01 mg/L). It is noteworthy that our work supports the studies demonstrating an increased PSA after mechanical manipulation of the prostate. The subjects exhibited either significantly higher post-ride tPSA (p = 0.002, median 0.69 vs. 1.1 ng/mL pre- and post-ride, respectively) and fPSA (p = 0.028, median 0.25 vs. 0.35 ng/mL). Contrary to that, sarcosine levels were not significantly affected by physical exercise (p = 0.20, median 1.64 vs. 1.92 µmol/mL for serum sarcosine, and p = 0.15, median 0.02 µmol/mmol of creatinine vs. 0.01 µmol/mmol of creatinine for urinary sarcosine). Taken together, our pilot study provides the first evidence that the potential biomarker of PCa—sarcosine does not have a drawback by means of a bicycle riding-induced false positivity, as was shown in the case of PSA.

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Section: Introductionsupporting

confidence: 70%

“…Although the level of physical activity differed modestly, both studies describe an elevation in post-ride specimens [ 3 , 6 ] and, thus, are consistent with our findings. It is noteworthy that Kindermann et al showed that one hour cycle ergometer activity increased not only tPSA, but also fPSA [ 5 ].…”

Section: Discussionmentioning

confidence: 99%

Influence of Long-Distance Bicycle Riding on Serum/Urinary Biomarkers of Prostate Cancer

Heger

Gumulec

Ondrak

et al. 2016

IJMS

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“…Serial blood tests showed a rapid decrease over the subsequent hours, with most men returning to baseline by 48 hours. 5 Another study of 129 men aged 50–71 ( M =55) showed an average PSA increase of 9.5% five minutes after cycling. 6 The study that showed the greatest rise was that of 301 otherwise healthy men tested 15 minutes after cycling.…”

Section: Resultsmentioning

confidence: 99%

Lifestyle factors and prostate-specific antigen

Wignall

Gkentzis

2021

Journal of Clinical Urology

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Background: Increasing prostate cancer awareness has meant that more men are seeking out prostate-specific antigen (PSA) testing than ever before. Prostate cancer is now the most common malignancy in men, affecting one in eight. This article addresses lifestyle factors that may elevate PSA readings. Methods: A systematic review of the literature was performed using Medline for studies examining the association of PSA and lifestyle factors, including exercise, diet, sexual function as well as medication use. Further resources were identified from the reference list of retrieved articles. Results: Minimal level 1 evidence on the association of PSA with lifestyle factors was identified. Weak and generally inconsistent evidence was found on the effect of cycling and sexual activity. Diabetes and obesity did have inversely proportional effects on PSA values in large cohort studies. There was no evidence for an independent effect of different types of food to PSA. With regard to medications, the greatest impact is from 5-alpha reductase inhibitors, and these are used as a hair-loss treatment. Statins, non-steroidal anti-inflammatory drugs and thiazide diuretics can also have a clinically significant impact on PSA levels but unlikely to alter management. Discussion: For a small group of patients, cautious counselling on the factors summarised here before they have their blood tests may prevent undue stress and anxiety, particularly in those with borderline PSA results. Due to the inconsistency of results and lack of level 1a evidence, if there is reasonable suspicion for prostate cancer, a patient should still always be referred to a specialist. Level of evidence: Level 4.

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“…Many factors affect PSA values, which decreases the accuracy of PSA screening for PCa diagnosis. For example, diet [ 8 ], inflammation in prostate [ 9 ], benign prostatic hyperplasia [ 10 ], urinary tract infection [ 11 ], ejaculation [ 12 ], exercise bikes [ 13 ] and urological intervention all change the PSA values. When using PSA values as an indicator for PCa screening, we must consider those interfering factors with potential PCa diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Age-Specific Percentile-based Prostate-Specific Antigen Cutoff Values Predict the Risk of Prostate Cancer: a single hospital observation

Hsieh,

Chen,

Hsia

et al. 2023

BioMedicine

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Background Testing for prostate-specific antigen (PSA) is often recommended for men with a potential risk of prostate cancer (PCa) before requiring advanced examination. However, the best PSA cutoff value remains controversial. Object We compared the predictive performance of age-specific percentile-based PSA thresholds with a conventional cutoff of >4 ng/mL for the risk of PCa. Methods We included men who received PSA measurements between 2003 and 2017 in a medical center in Taiwan. Logistic regression modeling was used to assess the association between age-specific percentile-based PSA thresholds and PCa risk in age subgroups. We further applied C-statistic and decision curve analysis to compare the predictive performance of age-specific percentile-based PSA with that of a conventional cutoff PSA. Results We identified 626 patients with PCa and 40 836 patients without PCa. The slope of PSA in patients >60-year-old was almost 3 times that of those <60-year-old (0.713 vs 0.259). The risk effect sizes of the 75th percentile PSA cutoff (<60-year-old: 2.19; 60–70-year-old: 4.36; >70-year-old: 5.84 ng/mL) were comparable to those observed based on the conventional cutoff in all age groups. However, the discrimination performance of the 75th percentile PSA cutoff was better than that of the conventional cutoff among patients aged <60-year-old (C-statistic, 0.783 vs. 0.729, p < 0.05). The 75th percentile cutoffs also correctly identified an additional 2 patients with PCa for every 100 patients with PSA screening at the threshold probability of 20%. Conclusions Our data support the use of the 75th percentile PSA cutoff to facilitate individualized risk assessment, particularly for patients aged <60-year-old.

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Beeinflussung der PSA-Konzentration im Serum durch körperliche Belastung (insbesondere Fahrradfahren)

Abstract: Men should abstain from physical exercise, especially from cycling for several days and at least for 24 h before PSA measurements are carried out. This applies to patients with elevated PSA levels (>4 ng/ml) when a PSA follow-up is being carried out.

Cited by 12 publications

References 31 publications

Influence of Long-Distance Bicycle Riding on Serum/Urinary Biomarkers of Prostate Cancer

Influence of Long-Distance Bicycle Riding on Serum/Urinary Biomarkers of Prostate Cancer

Lifestyle factors and prostate-specific antigen

Age-Specific Percentile-based Prostate-Specific Antigen Cutoff Values Predict the Risk of Prostate Cancer: a single hospital observation

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