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A Multimarker Model for Prostate Cancer Risk Assessment: Improving Diagnostic Accuracy Beyond PSA.

Penglu Yang1, Bin Yang2,3

  • 1The First Clinical School & Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

The Prostate
|May 26, 2025
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Summary

Combining prostate cancer (PCa) biomarkers with prostate-specific antigen (PSA) improves diagnostic accuracy. This multimarker approach offers enhanced prediction and may reduce unnecessary biopsies for men.

Keywords:
PSAbenign prostatic hyperplasialogistic regressionmultimarker modelprostate cancerprostate cancer diagnosis

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Area of Science:

  • Urology
  • Biochemistry
  • Oncology

Background:

  • Prostate cancer (PCa) diagnosis relies heavily on prostate-specific antigen (PSA) levels, but its specificity is limited.
  • Benign prostatic hyperplasia (BPH) can elevate PSA, leading to potential overdiagnosis and unnecessary procedures.
  • Identifying additional reliable biomarkers is crucial for improving PCa risk assessment.

Purpose of the Study:

  • To evaluate the association between various biochemical markers and PCa risk in patients with BPH and PCa.
  • To compare the diagnostic accuracy of a multimarker model against PSA alone for PCa detection.

Main Methods:

  • A cross-sectional study analyzed data from 2931 patients (1557 PCa, 1374 BPH).
  • Biochemical markers including PSA, apolipoproteins, lipid profiles, calcium, and phosphate were assessed.
  • Logistic regression and ROC curve analysis were used to evaluate associations and diagnostic performance.

Main Results:

  • PCa patients exhibited higher total PSA and lower free/total PSA ratio (p<0.001).
  • Apolipoprotein A1, LDL cholesterol, calcium, and phosphate were significantly associated with PCa risk (p<0.001).
  • The multimarker model demonstrated improved diagnostic accuracy (AUC 0.731) compared to PSA alone.

Conclusions:

  • Integrating multiple biochemical markers with PSA significantly enhances PCa diagnostic accuracy.
  • This multimarker strategy provides additional predictive value for PCa.
  • The findings suggest potential for improved PCa screening and reduced unnecessary biopsies.