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The relationship between body-mass index, physical activity, and pathologic and clinical outcomes after radical prostatectomy for prostate cancer

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Abstract

Purpose

We evaluated whether an increased body-mass index (BMI) and decreased physical activity increase the risk of locally advanced or high-risk prostate cancer (PCa) at radical prostatectomy (RP), and treatment failure after surgery.

Methods

Data were collected from the PROCURE Biobank, a prospective cohort of patients with localized PCa undergoing RP in four academic centers in Québec between 2006 and 2013. Treatment failure was defined as biochemical recurrence and/or initiation of secondary, non-adjuvant therapy, and analyzed using the Kaplan–Meier method, log-rank tests, and Cox proportional-hazards models. Uni- and multivariate (ordered) logistic regression was used for time-independent variables.

Results

1813 patients were included. Median follow-up time was 69 months. Patients who reported a lower BMI were generally older, of Asian descent, and physically more active (p < 0.05). Younger, black, and overweight/obese patients reported less physical activity (p < 0.05). In multivariate analyses, a higher BMI increased the risk for locally advanced, high-risk PCa (defined as a pT3, N1 and/or Gleason 8–10 tumor; odds ratio 1.33, p < 0.001), but increased physical activity did not predict high-risk disease (odds ratio 0.84, p = 0.39). Patients with a higher BMI also had a larger prostate at surgery (odds ratio 1.13, p = 0.03). BMI and physical activity were not associated with positive surgical margins or time to treatment failure (p > 0.05).

Conclusions

BMI was an independent predictor for locally advanced, high-risk disease in this cohort of PCa patients undergoing RP, but was unrelated to treatment failure. Physical activity was not related to locally advanced, high-risk PCa or treatment failure.

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References

  1. Siegel RL, Miller KD (2018) Jemal A (2018) Cancer statistics. CA Cancer J Clin 68(1):7–30. https://doi.org/10.3322/caac.21442

    Article  Google Scholar 

  2. Epstein MM, Edgren G, Rider JR, Mucci LA, Adami HO (2012) Temporal trends in cause of death among Swedish and US men with prostate cancer. J Natl Cancer Inst 104(17):1335–1342. https://doi.org/10.1093/jnci/djs299

    Article  PubMed  PubMed Central  Google Scholar 

  3. Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA (2016) The 2014 International Society of Urological Pathology (ISUP) consensus conference on gleason grading of prostatic carcinoma: definition of grading patterns and proposal for a new grading system. Am J Surg Pathol 40(2):244–252. https://doi.org/10.1097/pas.0000000000000530

    Article  Google Scholar 

  4. International Agency for Research on Cancer (World Health Organization). List of classifications by cancer sites with sufficient or limited evidence in humans, vol 1–121. https://monographs.iarc.fr/wp-content/uploads/2018/06/Table4.pdf. Accessed 21 Aug 2018

  5. Allott EH, Masko EM, Freedland SJ (2013) Obesity and prostate cancer: weighing the evidence. Eur Urol 63(5):800–809. https://doi.org/10.1016/j.eururo.2012.11.013

    Article  CAS  PubMed  Google Scholar 

  6. Cao Y, Ma J (2011) Body mass index, prostate cancer-specific mortality, and biochemical recurrence: a systematic review and meta-analysis. Cancer Prev Res (Philadelphia, Pa) 4(4):486–501. https://doi.org/10.1158/1940-6207.capr-10-0229

    Article  CAS  Google Scholar 

  7. Hu MB, Xu H, Bai PD, Jiang HW, Ding Q (2014) Obesity has multifaceted impact on biochemical recurrence of prostate cancer: a dose-response meta-analysis of 36,927 patients. Med Oncol (Northwood, London, England) 31(2):829. https://doi.org/10.1007/s12032-013-0829-8

    Article  CAS  Google Scholar 

  8. Kok DE, van Roermund JG, Aben KK, van de Luijtgaarden MW, Karthaus HF, van Vierssen Trip OB, Kampman E, Alfred Witjes J, Kiemeney LA (2011) Body mass index is not a predictor of biochemical recurrence after radical prostatectomy in Dutch men diagnosed with prostate cancer. World J Urol 29(5):695–701. https://doi.org/10.1007/s00345-010-0629-0

    Article  CAS  PubMed  Google Scholar 

  9. Narita S, Mitsuzuka K, Yoneyama T, Tsuchiya N, Koie T, Kakoi N, Kawamura S, Kaiho Y, Ohyama C, Tochigi T, Yamaguchi T, Habuchi T, Arai Y (2013) Impact of body mass index on clinicopathological outcome and biochemical recurrence after radical prostatectomy. Prostate Cancer Prostat Dis 16(3):271–276. https://doi.org/10.1038/pcan.2013.16

    Article  CAS  Google Scholar 

  10. Cuzick J, Thorat MA, Andriole G, Brawley OW, Brown PH, Culig Z, Eeles RA, Ford LG, Hamdy FC, Holmberg L, Ilic D, Key TJ, La Vecchia C, Lilja H, Marberger M, Meyskens FL, Minasian LM, Parker C, Parnes HL, Perner S, Rittenhouse H, Schalken J, Schmid HP, Schmitz-Drager BJ, Schroder FH, Stenzl A, Tombal B, Wilt TJ, Wolk A (2014) Prevention and early detection of prostate cancer. Lancet Oncol 15(11):e484–e492. https://doi.org/10.1016/s1470-2045(14)70211-6

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kenfield SA, Stampfer MJ, Giovannucci E, Chan JM (2011) Physical activity and survival after prostate cancer diagnosis in the health professionals follow-up study. J Clin Oncol 29(6):726–732. https://doi.org/10.1200/jco.2010.31.5226

    Article  PubMed  PubMed Central  Google Scholar 

  12. Wekesa A, Harrison M, Watson RW (2015) Physical activity and its mechanistic effects on prostate cancer. Prostate Cancer Prostat Dis 18(3):197–207. https://doi.org/10.1038/pcan.2015.9

    Article  CAS  Google Scholar 

  13. Moore SC, Peters TM, Ahn J, Park Y, Schatzkin A, Albanes D, Ballard-Barbash R, Hollenbeck A, Leitzmann MF (2008) Physical activity in relation to total, advanced, and fatal prostate cancer. Cancer Epidemiol Biomark Prev 17(9):2458–2466. https://doi.org/10.1158/1055-9965.epi-08-0403

    Article  Google Scholar 

  14. Wiklund F, Lageros YT, Chang E, Balter K, Johansson JE, Adami HO, Gronberg H (2008) Lifetime total physical activity and prostate cancer risk: a population-based case-control study in Sweden. Eur J Epidemiol 23(11):739–746. https://doi.org/10.1007/s10654-008-9294-7

    Article  PubMed  Google Scholar 

  15. Defining Adult Overweight and Obesity, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion Centers for Disease Control and Prevention. https://www.cdc.gov/obesity/adult/defining.html. Last updated: 16 Jun 2016; Last accessed: 12 Jul 2017

  16. United States Food and Drug Administration [2016], Collection of Race and Ethnicity Data in Clinical Trials, Guidance for Industry and Food and Drug Administration Staff. https://www.fda.gov/downloads/regulatoryinformation/guidances/ucm126396.pdf. Last accessed: 12 Jul 2017

  17. Cooperberg MR, Hilton JF, Carroll PR (2011) The CAPRA-S score: a straightforward tool for improved prediction of outcomes after radical prostatectomy. Cancer 117(22):5039–5046. https://doi.org/10.1002/cncr.26169

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53(282):457–481

    Article  Google Scholar 

  19. Discacciati A, Orsini N, Wolk A (2012) Body mass index and incidence of localized and advanced prostate cancer–a dose-response meta-analysis of prospective studies. Ann Oncol 23(7):1665–1671. https://doi.org/10.1093/annonc/mdr603

    Article  CAS  PubMed  Google Scholar 

  20. Jemal A, Fedewa SA, Ma J, Siegel R, Lin CC, Brawley O, Ward EM (2015) Prostate cancer incidence and PSA testing patterns in relation to USPSTF screening recommendations. JAMA J Am Med Assoc 314(19):2054–2061. https://doi.org/10.1001/jama.2015.14905

    Article  CAS  Google Scholar 

  21. Canadian Community Health Survey (2014) Statistics Canada, public use microdata file, statistics Canada. http://dli-idd-nesstar.statcan.gc.ca/webview/index.jsp?object=http://dli-idd-nesstar.statcan.gc.ca:80/obj/fCatalog/Catalog85. Accessed 21 Aug 2018

  22. Freedland SJ, Platz EA, Presti JC Jr, Aronson WJ, Amling CL, Kane CJ, Terris MK (2006) Obesity, serum prostate specific antigen and prostate size: implications for prostate cancer detection. J Urol 175(2):500–504. https://doi.org/10.1016/s0022-5347(05)00162-x (discussion 504)

    Article  PubMed  Google Scholar 

  23. Joshu CE, Mondul AM, Menke A, Meinhold C, Han M, Humphreys EB, Freedland SJ, Walsh PC, Platz EA (2011) Weight gain is associated with an increased risk of prostate cancer recurrence after prostatectomy in the PSA era. Cancer Prev Res (Philadelphia, Pa) 4(4):544–551. https://doi.org/10.1158/1940-6207.capr-10-0257

    Article  Google Scholar 

  24. United States National Library of Medicine (National Institutes of Health) [2017], Weight Management Aimed to Reduce Risk and Improve Outcomes From Radical Prostatectomy (WARRIOR). https://clinicaltrials.gov/ct2/show/NCT03261271. Last accessed: 4 Dec 2017

  25. Liu Y, Hu F, Li D, Wang F, Zhu L, Chen W, Ge J, An R, Zhao Y (2011) Does physical activity reduce the risk of prostate cancer? A systematic review and meta-analysis. Eur Urol 60(5):1029–1044. https://doi.org/10.1016/j.eururo.2011.07.007

    Article  PubMed  Google Scholar 

  26. Hrafnkelsdottir SM, Torfadottir JE, Aspelund T, Magnusson KT, Tryggvadottir L, Gudnason V, Mucci LA, Stampfer M, Valdimarsdottir UA (2015) Physical activity from early adulthood and risk of prostate cancer: a 24-year follow-up study among Icelandic men. Cancer Prev Res (Philadelphia, Pa) 8(10):905–911. https://doi.org/10.1158/1940-6207.capr-15-0035

    Article  Google Scholar 

  27. Nilsen TI, Romundstad PR, Vatten LJ (2006) Recreational physical activity and risk of prostate cancer: a prospective population-based study in Norway (the HUNT study). Int J Cancer 119(12):2943–2947. https://doi.org/10.1002/ijc.22184

    Article  CAS  PubMed  Google Scholar 

  28. Navaneelan T, Janz T (2014) Adjusting the scales: Obesity in the Canadian population after correcting for respondent bias. Statistics Canada, Catalogue no 82-624-X:1-10

  29. Richmond TK, Walls CE, Austin SB (2012) Sexual orientation and bias in self-reported BMI. Obesity (Silver Spring, Md) 20(8):1703–1709. https://doi.org/10.1038/oby.2012.9

    Article  Google Scholar 

  30. Scribani M, Shelton J, Chapel D, Krupa N, Wyckoff L, Jenkins P (2014) Comparison of bias resulting from two methods of self-reporting height and weight: a validation study. JRSM Open 5(6):2042533313514048. https://doi.org/10.1177/2042533313514048

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors wish to thank all participating patients in the PROCURE biobank who voluntarily donated time, tissue, biosamples, and data to this study. We would also like to thank Valérie Thibodeau and all our other collaborators at PROCURE and participating hospitals for their dedication to the creation and maintenance of this biobank. Funding for the study and data acquisition was provided by PROCURE Alliance in partnership with the Cancer Research Society of Canada. MW was funded by a Fellowship Award from the Canadian Institutes of Health Research, McGill University, and the department of Urology at the McGill University Health Centre.

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Authors and Affiliations

Authors

Contributions

MW: project development, data management, data analyses, and manuscript writing. SC: project development, data collection and management, and manuscript editing. GM: data collection and management and manuscript editing. CL: data analyses and manuscript editing. SA: data collection and management and manuscript editing. AO: data collection and management and manuscript editing. ES: data collection and manuscript editing. FS: project development, data collection, and manuscript editing. MC: project development, data collection, and manuscript editing. LL: project development, data collection, and manuscript editing. FB: data collection and manuscript editing. ML: data collection and manuscript editing. NE: data collection and manuscript editing. BT: data collection and manuscript editing. AA: principal investigator, project development, data analyses, and manuscript writing.

Corresponding author

Correspondence to Michel Wissing.

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Funding

Funding was provided by PROCURE Alliance in partnership with the Cancer Research Society of Canada. MW was funded by a Fellowship Award from the Canadian Institutes of Health Research, McGill University, and the department of Urology at the McGill University Health Centre.

Conflict of interest

The authors declare that they have no conflict of interest.

Research involving human participants

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Wissing, M., Chevalier, S., McKercher, G. et al. The relationship between body-mass index, physical activity, and pathologic and clinical outcomes after radical prostatectomy for prostate cancer. World J Urol 37, 789–798 (2019). https://doi.org/10.1007/s00345-018-2457-6

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  • DOI: https://doi.org/10.1007/s00345-018-2457-6

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