BACKGROUND: Assessment of prostate-specific antigen increase with time (PSA growth) is a fundamental component of active surveillance among men with localized prostate cancer. Factors that influence PSA growth, however, are unclear. We evaluated associations of anthropometric and lifestyle factors with age-related PSA growth. METHODS: Repeat PSA measures from 404 men, aged 50 to 69 years, with localized prostate cancer undergoing active monitoring were obtained. From log(PSA) measures, age-specific multilevel mixed effect linear models were developed to predict PSA at age 50 years and yearly increase in postdiagnosis PSA. Baseline anthropometric measures, alcohol consumption, occupational class, smoking status, and physical activity were added to the model as covariates. RESULTS: The median number of repeat PSAs was 13 (range, 2-40), and the mean duration of follow-up was 4.8 years (SD, 2.3). The basic model of age-related PSA growth in men with localized prostate cancer estimated a mean PSA at age 50 of 3.95 ng/mL [95% confidence interval (CI): 3.55 to 4.39] and a yearly increase of 8.50% (95% CI: 7.90% to 9.10%). PSA at age 50 years was 2.1% lower per unit increase in weighted exercise score (95% CI: -3.3 to -0.8), 5.3% lower per 5 cm increase in height (95% CI: -9.4 to -1.1), and 24.5% higher (95% CI: 4.0 to 49.1) in current smokers than never smokers. Similar associations with PSA growth were seen. CONCLUSION: Smoking and exercise are modifiable lifestyle factors that may be associated with PSA levels in men with localized prostate cancer undergoing active monitoring/surveillance. IMPACT: These factors may be useful in understanding etiology of progression. 2012 AACR
BACKGROUND: Assessment of prostate-specific antigen increase with time (PSA growth) is a fundamental component of active surveillance among men with localized prostate cancer. Factors that influence PSA growth, however, are unclear. We evaluated associations of anthropometric and lifestyle factors with age-related PSA growth. METHODS: Repeat PSA measures from 404 men, aged 50 to 69 years, with localized prostate cancer undergoing active monitoring were obtained. From log(PSA) measures, age-specific multilevel mixed effect linear models were developed to predict PSA at age 50 years and yearly increase in postdiagnosis PSA. Baseline anthropometric measures, alcohol consumption, occupational class, smoking status, and physical activity were added to the model as covariates. RESULTS: The median number of repeat PSAs was 13 (range, 2-40), and the mean duration of follow-up was 4.8 years (SD, 2.3). The basic model of age-related PSA growth in men with localized prostate cancer estimated a mean PSA at age 50 of 3.95 ng/mL [95% confidence interval (CI): 3.55 to 4.39] and a yearly increase of 8.50% (95% CI: 7.90% to 9.10%). PSA at age 50 years was 2.1% lower per unit increase in weighted exercise score (95% CI: -3.3 to -0.8), 5.3% lower per 5 cm increase in height (95% CI: -9.4 to -1.1), and 24.5% higher (95% CI: 4.0 to 49.1) in current smokers than never smokers. Similar associations with PSA growth were seen. CONCLUSION: Smoking and exercise are modifiable lifestyle factors that may be associated with PSA levels in men with localized prostate cancer undergoing active monitoring/surveillance. IMPACT: These factors may be useful in understanding etiology of progression. 2012 AACR
Authors: Stacy Loeb; Sophie M Bruinsma; Joseph Nicholson; Alberto Briganti; Tom Pickles; Yoshiyuki Kakehi; Sigrid V Carlsson; Monique J Roobol Journal: Eur Urol Date: 2014-10-31 Impact factor: 20.096
Authors: A D Vandersluis; D E Guy; L H Klotz; N E Fleshner; A Kiss; C Parker; V Venkateswaran Journal: Prostate Cancer Prostatic Dis Date: 2016-06-28 Impact factor: 5.554
Authors: Freddie C Hamdy; Jenny L Donovan; J Athene Lane; Malcolm Mason; Chris Metcalfe; Peter Holding; Julia Wade; Sian Noble; Kirsty Garfield; Grace Young; Michael Davis; Tim J Peters; Emma L Turner; Richard M Martin; Jon Oxley; Mary Robinson; John Staffurth; Eleanor Walsh; Jane Blazeby; Richard Bryant; Prasad Bollina; James Catto; Andrew Doble; Alan Doherty; David Gillatt; Vincent Gnanapragasam; Owen Hughes; Roger Kockelbergh; Howard Kynaston; Alan Paul; Edgar Paez; Philip Powell; Stephen Prescott; Derek Rosario; Edward Rowe; David Neal Journal: Health Technol Assess Date: 2020-08 Impact factor: 4.014
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