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Ali Mohammadpour R, Alizadeh A, Barzegar MR, et al. Association between prostate-specific antigen change over time and prostate cancer recurrence risk: A joint model. Caspian J Intern Med. 2020;11(3):324-328doi: 10.22088/cjim.11.3.324.
Ali Mohammadpour, R., Alizadeh, A., Barzegar, M. R., & Akbarzadeh Pasha, A. (2020). Association between prostate-specific antigen change over time and prostate cancer recurrence risk: A joint model. Caspian journal of internal medicine, 11(3), 324-328. https://doi.org/10.22088/cjim.11.3.324
Ali Mohammadpour, Reza, et al. "Association between prostate-specific antigen change over time and prostate cancer recurrence risk: A joint model." Caspian journal of internal medicine vol. 11,3 (2020): 324-328. doi: https://doi.org/10.22088/cjim.11.3.324
Ali Mohammadpour R, Alizadeh A, Barzegar MR, Akbarzadeh Pasha A. Association between prostate-specific antigen change over time and prostate cancer recurrence risk: A joint model. Caspian J Intern Med. 2020 May;11(3):324-328. doi: 10.22088/cjim.11.3.324. PMID: 32874441; PMCID: PMC7442453.
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Caspian J Intern Med. 2020 May;11(3):324-328. doi: 10.22088/cjim.11.3.324.

Association between prostate-specific antigen change over time and prostate cancer recurrence risk: A joint model.

Caspian journal of internal medicine

Reza Ali Mohammadpour, Ahad Alizadeh, Mohammad-Reza Barzegar, Abazar Akbarzadeh Pasha

Affiliations

  1. Department of Biostatistics, Faculty of Health, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
  2. Student Research Committee, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
  3. Cancer Institute of Tehran, Tehran University of Medical Sciences, Tehran, Iran.
  4. Department of Urology, Babol University of Medical Sciences, Babol, Iran.

PMID: 32874441 PMCID: PMC7442453 DOI: 10.22088/cjim.11.3.324

Abstract

BACKGROUND: Prostate specific antigen (PSA) is an important biomarker to monitor patients after treated with radiation therapy (RT). The aim of this study is to evaluate the relationship between the PSA data and prostate cancer recurrence using the joint modeling.

METHODS: This historical cohort study was performed on 422 prostate cancer patients. Inclusion criteria included: patients with localized prostate cancer referring to Cancer Institute in Tehran (Iran) from 2007 to 2012, and under radiation therapy. Joint model has two components or sub-models. We showed the results by parameter estimating the longitudinal sub-model and survival sub-model. EM algorithm, Newton-Gauss and Gauss-Hermit law were used for final model parameters. R software version 3.2 was used for statistical analysis.

RESULTS: In this study, considering the inclusion and exclusion criteria, out of 422 patients, the data on 314 cases were selected for analysis and the main result of joint model was obtained. PSA directly and significantly was associated with recurrence risk, therefore increasing 2.6 ml/lit PSA (one unit in transformed PSA) increases 39% recurrence risk (95% CI for RR: 1.09-1.77). Also, slope of PSA trend has significant association with prostate cancer recurrence risk (95% CI for RR: 1.05-1.41).

CONCLUSION: This study showed a significant relationship between PSA, and its slope with the recurrence risk by joint model, with regard to the pathological, demographic and clinical features in the Iranian population.

Keywords: Joint modeling; Prostate cancer recurrence; Prostate specific antigen (PSA)

References

  1. Stat Med. 2002 Dec 30;21(24):3897-911 - PubMed
  2. Biostatistics. 2002 Dec;3(4):547-63 - PubMed
  3. Asian Pac J Cancer Prev. 2015;16(7):2601-11 - PubMed
  4. Int J Radiat Oncol Biol Phys. 2006 Jul 15;65(4):965-74 - PubMed
  5. Radiat Oncol. 2013 Jul 08;8:170 - PubMed
  6. JAMA. 2005 Jul 6;294(1):66-70 - PubMed
  7. Int J Radiat Oncol Biol Phys. 1997 Jul 15;38(5):941-7 - PubMed
  8. Biostatistics. 2009 Jul;10(3):535-49 - PubMed
  9. Int J Radiat Oncol Biol Phys. 2008 Nov 1;72(3):782-91 - PubMed
  10. Biometrics. 2013 Mar;69(1):206-13 - PubMed
  11. Asian Pac J Cancer Prev. 2012;13(11):5529-33 - PubMed
  12. J Clin Oncol. 2005 Feb 1;23(4):816-25 - PubMed
  13. Radiat Oncol. 2014 Feb 02;9:42 - PubMed

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