Literature DB >> 26850968

Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population.

Jean-Nicolas Cornu1, Geraldine Cancel-Tassin2, David G Cox3, Morgan Roupret4, Nicolas Koutlidis5, Pierre Bigot6, Antoine Valeri7, Valerie Ondet8, Cécile Gaffory8, Georges Fournier7, Abdel-Rahmene Azzouzi6, Luc Cormier5, Olivier Cussenot9.   

Abstract

UNLABELLED: Prostate-specific antigen (PSA) is still the cornerstone of prostate cancer (PCa) screening and diagnosis in both research and current clinical practice. Inaccuracy of PSA is partly due to the influence of a number of genetic, clinical, and biological factors modifying PSA blood levels. In the present study, we detailed the respective influence of each factor among age, body mass index (BMI), prostate volume, and five single-nucleotide polymorphisms-rs10788160 (10q26), rs10993994 (10q11), rs11067228 (12q24), rs17632542 (19q13.33), and rs2928679 (8p21)-on PSA values in a cohort of 1374 men without PCa. Our results show that genetic factors, when risk variants are combined, influence PSA levels with an effect size similar to that of BMI. Taken together, the respective correlations of clinical parameters and genetic parameters would make it possible to correct and adjust PSA values more effectively in each individual. These results establish the basis to understand and implement a more personalised approach for the interpretation of PSA blood levels in the context of PCa screening and diagnosis. PATIENT
SUMMARY: Prostate-specific antigen (PSA) values in an individual may vary according to genetic predisposition. The effect size of this variation can be significant, comparable with those resulting from clinical characteristics. Personalised PSA testing should take this into account.
Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Prostate cancer; Prostate-specific antigen; Single-nucleotide polymorphisms

Mesh:

Substances:

Year:  2016        PMID: 26850968     DOI: 10.1016/j.eururo.2016.01.027

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  2 in total

1.  Targeted Mass Spectrometry of a Clinically Relevant PSA Variant from Post-DRE Urines for Quantitation and Genotype Determination.

Authors:  Joseph J Otto; Vanessa L Correll; Hampus A Engstroem; Naomi L Hitefield; Brian P Main; Brenna Albracht; Teresa Johnson-Pais; Li Fang Yang; Michael Liss; Paul C Boutros; Thomas Kislinger; Robin J Leach; Oliver J Semmes; Julius O Nyalwidhe
Journal:  Proteomics Clin Appl       Date:  2020-07-09       Impact factor: 3.494

2.  Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semi-supervised learning: a pilot study.

Authors:  Kirsty Milligan; Xinchen Deng; Ramie Ali-Adeeb; Phillip Shreeves; Samantha Punch; Nathalie Costie; Juanita M Crook; Alexandre G Brolo; Julian J Lum; Jeffrey L Andrews; Andrew Jirasek
Journal:  Sci Rep       Date:  2022-09-06       Impact factor: 4.996

  2 in total

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