Temporal and spatial trends and determinants of aggressive prostate cancer among Black and White men with prostate cancer

Abstract

Purpose

Few studies have reported temporal and spatial trends of aggressive prostate cancer (PC) among black men who are known to have more aggressive disease. We examined these trends for highly aggressive PC at diagnosis among black and white men in Pennsylvania (PA).

Methods

Men, aged ≥ 40 years, with a primary, clinical PC diagnosis were identified from the Pennsylvania Cancer Registry, 2004–2014. Joinpoint analysis was used to evaluate the temporal trend of highly aggressive PC (clinical/pathologic Gleason score ≥ 7 [4 + 3], clinical/pathologic tumor stage ≥ T3, or distant metastasis) and identify change points by race in which annual percent change (APC) was calculated. Logistic regression analyses were used to examine the association between race and highly aggressive PC, after adjusting for covariates with and without spatial dependence.

Results

There were 89,133 PC cases, which included 88.7% white and 11.3% black men. The APC of highly aggressive PC was 8.7% from 2011 to 2014 among white men and 3.6% from 2007 to 2014 among black men (p values ≤ 0.01). The greatest odds of having highly aggressive PC among black compared to white men were found in counties where the black male population was ≤ 5.3%.

Conclusions

Highly aggressive PC increased for both black and white men in PA between 2004 and 2014. Black men had more aggressive disease, with the greatest odds in counties where the black male population was small. The increase in highly aggressive PC may be due to less screening for PC, resulting in more advanced disease at diagnosis.

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References

  1. 1.

    ACS (2018) Cancer facts & figures 2018. American Cancer Society, Atlanta

    Google Scholar 

  2. 2.

    Wood HM, Reuther AM, Gilligan TD, Kupelian PA, Modlin CS, Klein EA (2007) Rates of biochemical remission remain higher in black men compared to white men after radical prostatectomy despite similar trends in prostate specific antigen induced stage migration. J Urol 178(4):1271–1276

    Article  Google Scholar 

  3. 3.

    SEER Cancer Statistics Review, 1975–2009 (Vintage 2009 Populations) (2009) National Cancer Institute. Accessed 2012

  4. 4.

    Godley PA, Schenck AP, Amamoo MA, Schoenbach VJ, Peacock S, Manning M, Symons M, Talcott JA (2003) Racial differences in mortality among Medicare recipients after treatment for localized prostate cancer. J Natl Cancer Inst 95(22):1702–1710

    Article  Google Scholar 

  5. 5.

    Bhardwaj A, Srivastava SK, Khan MA, Prajapati VK, Singh S, Carter JE, Singh AP (2017) Racial disparities in prostate cancer: a molecular perspective. Front Biosci (Landmark edition) 22:772–782

    CAS  Article  Google Scholar 

  6. 6.

    SEER Cancer Statistics Review, 1975–2016 (2018) National Cancer Institute. https://seer.cancer.gov/csr/1975_2016/. Accessed 9 Feb 2019

  7. 7.

    Kelly SP, Anderson WF, Rosenberg PS, Cook MB (2018) Past, current, and future incidence rates and burden of metastatic prostate cancer in the United States. Eur Urol Focus 4(1):121–127. https://doi.org/10.1016/j.euf.2017.10.014

    Article  PubMed  Google Scholar 

  8. 8.

    Gejerman G, Ciccone P, Goldstein M, Lanteri V, Schlecker B, Sanzone J, Esposito M, Rome S, Ciccone M, Margolis E, Simon R, Guo Y, Pentakota SR, Sadhegi-Nejad H (2017) US Preventive Services Task Force prostate-specific antigen screening guidelines result in higher Gleason score diagnoses. Investig Clin Urol 58(6):423–428. https://doi.org/10.4111/icu.2017.58.6.423

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Weiner AB, Matulewicz RS, Eggener SE, Schaeffer EM (2016) Increasing incidence of metastatic prostate cancer in the United States (2004–2013). Prostate Cancer Prostatic Dis 19(4):395–397. https://doi.org/10.1038/pcan.2016.30

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Bureau USC (2010) Geographic terms and concepts—urban and rural, 2017. https://www.census.gov/geo/reference/gtc/gtc_urbanrural.html

  11. 11.

    Kim HJ, Fay MP, Feuer EJ, Midthune DN (2000) Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 19(3):335–351

    CAS  Article  Google Scholar 

  12. 12.

    Rodrigues M, de la Riva J, Fotheringham S (2014) Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression. Appl Geogr 48:52–63. https://doi.org/10.1016/j.apgeog.2014.01.011

    Article  Google Scholar 

  13. 13.

    Cardozo OD, García-Palomares JC, Gutiérrez J (2012) Application of geographically weighted regression to the direct forecasting of transit ridership at station-level. Appl Geogr 34:548–558. https://doi.org/10.1016/j.apgeog.2012.01.005

    Article  Google Scholar 

  14. 14.

    Chen D-R, Truong K (2012) Using multilevel modeling and geographically weighted regression to identify spatial variations in the relationship between place-level disadvantages and obesity in Taiwan. Appl Geogr 32(2):737–745. https://doi.org/10.1016/j.apgeog.2011.07.018

    CAS  Article  Google Scholar 

  15. 15.

    Chi G, Wang D (2016) Small-area population forecasting: a geographically weighted regression approach. In: Swanson D (ed) The frontiers of applied demography. Springer, New York, pp 449–471

    Google Scholar 

  16. 16.

    Team RC (2017) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria

    Google Scholar 

  17. 17.

    Institute ESR (2009) ArcGIS Desktop Help 9.3 Geostatistical Analyst. Redlands, CA

  18. 18.

    Bureau USC (2018) Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States, States, Counties and Puerto Rico Commonwealth and Municipios: April 1, 2010 to July 1, 2017 U.S. Census Bureau, Population Division. https://www.census.gov/data/datasets/2017/demo/popest/counties-detail.html. Accessed 1/18/19 2019

  19. 19.

    DeSantis CE, Siegel RL, Sauer AG, Miller KD, Fedewa SA, Alcaraz KI, Jemal A (2016) Cancer statistics for African Americans, 2016: progress and opportunities in reducing racial disparities. CA 66(4):290–308. https://doi.org/10.3322/caac.21340

    Google Scholar 

  20. 20.

    Health PDo (2017) Cancer facts and figures Pennsylvania, 2017 (trans: Informatics DoH). Pennsylvania Department of Health, Harrisburg, PA

    Google Scholar 

  21. 21.

    Wang M, Matthews SA, Iskandarani K, Li Y, Li Z, Chinchilli VM, Zhang L (2017) Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000–2011. Geospat Health 12(2):611. https://doi.org/10.4081/gh.2017.611

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Reese AC, Wessel SR, Fisher SG, Mydlo JH (2016) Evidence of prostate cancer “reverse stage migration” toward more advanced disease at diagnosis: data from the Pennsylvania Cancer Registry. Urol Oncol 34(8):e321–e328. https://doi.org/10.1016/j.urolonc.2016.03.014

    Article  Google Scholar 

  23. 23.

    Calonge N, Petitti DB, Dewitt TG, Dietrich AJ, Gregory KD, Harris R, Isham GJ, Lefevre ML, Leipzig R, Loveland-Cherry C, Marion LN (2008) Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 149(3):185–191

  24. 24.

    Moyer VA (2012) Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 157 (2):120–134. https://doi.org/10.7326/0003-4819-157-2-201207170-00459

    Article  Google Scholar 

  25. 25.

    Downer MK, Stampfer MJ, Cooperberg MR (2017) Declining incidence rates of prostate cancer in the United States: is this good news or not? JAMA Oncol 3(12):1623–1624. https://doi.org/10.1001/jamaoncol.2017.0470

    Article  PubMed  Google Scholar 

  26. 26.

    Jemal A, Ward E, Wu X, Martin HJ, McLaughlin CC, Thun MJ (2005) Geographic patterns of prostate cancer mortality and variations in access to medical care in the United States. Cancer Epidemiol Biomark Prev 14(3):590–595. https://doi.org/10.1158/1055-9965.epi-04-0522

    Article  Google Scholar 

  27. 27.

    Ong MS, Mandl KD (2017) Trends in prostate-specific antigen screening and prostate cancer interventions 3 years after the U.S. Preventive Services Task Force Recommendation. Ann Intern Med 166(6):451–452. https://doi.org/10.7326/l16-0422

    Article  Google Scholar 

  28. 28.

    Network ACC (2009) The Cancer Burden in Appalachia.

  29. 29.

    Commission AR (2019) The Appalachian Region. Appalachia Regional Commission. https://www.arc.gov/appalachian_region/TheAppalachianRegion.asp

  30. 30.

    Antwi S, Tucker TC, Coker AL, Fleming ST (2013) Racial disparities in survival after diagnosis of prostate cancer in Kentucky, 2001–2010. Am J Men's Health 7(4):306–316. https://doi.org/10.1177/1557988312473774

    Article  Google Scholar 

Download references

Acknowledgments

A special thanks to James Rubertone for data extraction and other inquiries related to the Pennsylvania Cancer Registry.

Funding

This study was supported by The Eberly Medical Research Endowment Innovation Fund at the Pennsylvania State University College of Medicine, The Pennsylvania State Clinical and Translational Science Institute (CTSI) Novel Methodologies in Health Research (5 UL1 RR0330184-04), and Highmark Incorporation Grant at Penn State Cancer Institute.

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Correspondence to Alicia C. McDonald.

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The authors declare that they have no conflict of interest.

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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.

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This study used existing data which allowed to waive informed consent and was approved by the Pennsylvania Department of Health and the Institutional Review Board of The Pennsylvania State College of Medicine.

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Wang, M., Chi, G., Bodovski, Y. et al. Temporal and spatial trends and determinants of aggressive prostate cancer among Black and White men with prostate cancer. Cancer Causes Control 31, 63–71 (2020). https://doi.org/10.1007/s10552-019-01249-0

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Keywords

  • Prostate cancer
  • Aggressiveness
  • Health disparities
  • Spatial analysis