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The use of multiphase nonlinear mixed models to define and quantify long-term changes in serum prostate-specific antigen: data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

About this Publication
Title
The use of multiphase nonlinear mixed models to define and quantify long-term changes in serum prostate-specific antigen: data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.
Pubmed ID
26611771 (View this publication on the PubMed website)
Publication
Ann Epidemiol. 2016 Jan; Volume 26 (Issue 1): Pages 36-42.e1-2
Authors
Shoaibi A, Rao GA, Cai B, Rawl J, Hébert JR
Affiliations
  • South Carolina Statewide Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Electronic address: shoaibi@email.sc.edu.
  • Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia; Department of Family and Preventive Medicine, School of Medicine, University of South Carolina, Columbia.
  • Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia.
  • Columbia Urological Associates, P.A., Columbia, SC.
  • South Carolina Statewide Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia. Electronic address: JHEBERT@mailbox.sc.edu.
Abstract

PURPOSE: To test the hypothesis that the pattern of prostate-specific antigen (PSA) change in men diagnosed with high-risk prostate cancer (PrCA) differs from the pattern evident in men diagnosed with low-risk PrCA or those with no evidence of PrCA.

METHODS: A retrospective cohort study from which PSA measures were taken before PrCA diagnosis from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Data were fitted using a nonlinear regression model to estimate the adjusted absolute and relative (%) change of PSA.

RESULTS: Data on 20,888 men with an average age of 61.61 years were included in the analysis. Of these, the 324 (1.55%) diagnosed with high-risk PrCA had a steeper and earlier transition into an exponential pattern of PSA change than the 1368 men diagnosed with low-risk cancer. At 1 year before diagnosis and/or exit, the average absolute PSA rates were 0.05 ng/mL/year (0.05-0.05), 0.59 (0.52-0.66), and 2.60 (2.11-3.09) for men with no evidence of PrCA, men with low-risk PrCA and those with high-risk PrCA, respectively.

CONCLUSIONS: The pattern of PSA change with time was significantly different for men who develop high-risk PrCA from those diagnosed with low-risk PrCA. Further research is required to validate this method and its utilization in PrCA screening.

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