Literature DB >> 19562734

Modeling the effects of obesity and weight gain on PSA velocity.

Andrew G Rundle1, Alfred I Neugut.   

Abstract

BACKGROUND: Hemodilution theory states that higher blood volume in obese men effectively dilutes circulating PSA levels resulting in lower PSA test results. Here we apply hemodilution theory to model the effect of weight gain on PSA velocity.
METHODS: Hemodilution formulas were used to model PSA velocity for a series of plausible scenarios in which initial weight and weight gain were varied. The formulas were also applied to published summary data on weight, weight change and PSA velocity from the Prostate Cancer Prevention Trial (PCPT).
RESULTS: Under hemodilution theory, PSA velocity is understood to be influenced by total circulating PSA mass (ng of PSA) and BMI at the initial test and total circulating PSA mass and BMI at the subsequent test. PSA velocity in a man with a stable BMI of 35 is estimated to be 13% lower than in a man with a stable BMI of 25. A gain of 4 BMI units is predicted to attenuate PSA velocity by as much as 25%. When applied to summary data from the PCPT, the formulas estimate that a 10 pound weight gain causes a -0.028 ng/ml change in PSA, which closely matches PCPT results where a 10 pound weight gain caused a -0.024 ng/ml change in PSA. We provide software to implement the hemodilution formulas to model PSA velocity for different weights and changes in weight through time (http://www.eheintl.com/psa.jsp).
CONCLUSION: Stable obesity and weight gain both independently attenuate PSA velocity, potentially obscuring clinically relevant changes in circulating PSA.

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Year:  2009        PMID: 19562734     DOI: 10.1002/pros.21005

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  5 in total

Review 1.  Obesity and cancer: mechanistic insights from transdisciplinary studies.

Authors:  Emma H Allott; Stephen D Hursting
Journal:  Endocr Relat Cancer       Date:  2015-09-15       Impact factor: 5.678

2.  The effects of body mass index on changes in prostate-specific antigen levels and prostate volume over 15 years of follow-up: implications for prostate cancer detection.

Authors:  Lauren P Wallner; Hal Morgenstern; Michaela E McGree; Debra J Jacobson; Jennifer L St Sauver; Steven J Jacobsen; Aruna V Sarma
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-01-17       Impact factor: 4.254

3.  Individual- and neighborhood-level education influences the effect of obesity on prostate cancer treatment failure after prostatectomy.

Authors:  Charnita Zeigler-Johnson; Knashawn H Morales; Karen Glanz; Elaine Spangler; Jonathan Mitchell; Timothy R Rebbeck
Journal:  Cancer Causes Control       Date:  2015-07-14       Impact factor: 2.506

4.  Serum adiponectin concentration in 2,939 Japanese men undergoing screening for prostate cancer.

Authors:  Atsushi Ikeda; Toru Nakagawa; Koji Kawai; Mizuki Onozawa; Takeshi Hayashi; Yumi Matsushita; Masakazu Tsutsumi; Takahiro Kojima; Jun Miyazaki; Hiroyuki Nishiyama
Journal:  Prostate Int       Date:  2015-07-21

5.  Investigating the prostate specific antigen, body mass index and age relationship: is an age-BMI-adjusted PSA model clinically useful?

Authors:  Sean Harrison; Kate Tilling; Emma L Turner; J Athene Lane; Andrew Simpkin; Michael Davis; Jenny Donovan; Freddie C Hamdy; David E Neal; Richard M Martin
Journal:  Cancer Causes Control       Date:  2016-11-09       Impact factor: 2.506

  5 in total

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