Prostate-specific antigen velocity as a predictor of survival outcomes in patients with prostate cancer: a meta-analysis

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Authors: Feilun Cui, Yueshi Zhang, Ziyan Liu, Yongjing Zhou, Changfeng Man, Yuhua Fan
Cited by: 0
References: 25

Abstract

Background: Prostate-specific antigen velocity (PSAV) has emerged as a promising biomarker for predicting survival outcomes in prostate cancer patients. Objectives: To assess the association between PSAV and both all-cause mortality and prostate cancer-specific mortality (PCSM) in men diagnosed with prostate cancer by conducting a meta-analysis. Methods: A comprehensive search of electronic medical databases, including PubMed, Web of Science, and Embase, was conducted to identify relevant studies published up to March 1, 2025. Studies reporting adjusted hazard ratios (HR) with 95% confidence intervals (CI) for survival outcomes in prostate cancer patients, based on categorical analyses of PSAV, were included. Pooled HRs with 95% CI was calculated using random-effects models to account for clinical heterogeneity across studies. Result: Eleven studies involving 3,713 prostate cancer patients were identified and analyzed. The meta-analysis revealed that elevated PSAV was associated with a higher risk of both all-cause mortality (HR 1.96; 95% CI 1.33-2.88) and PCSM (HR 5.38; 95% CI 2.76-10.51). In stratified analyses, the pooled HR for all-cause mortality was 1.91 (95% CI 1.43-2.55) among patients with localized prostate cancer, compared to 1.26 (95% CI 0.41-3.84) in those with metastatic disease. Conclusions: Elevated PSAV is a significant predictor of all-cause mortality and PCSM in prostate cancer patients. Measuring PSAV has the potential to improve the prediction of survival outcomes in this population. However, further research is needed to standardize PSAV measurement and validate its predictive value across diverse patient groups. Systematic review registration.

Fields of Study & Subjects

Prostate Cancer Diagnosis and Treatment Prostate Cancer Treatment and Research Inflammatory Biomarkers in Disease Prognosis

Publication details

Journal / source
Frontiers in Oncology
Volume
16
Pages
1656688–1656688
Publication date
10 February 2026
Language
EN