ArticleCancer medicine2024
phi and phiD predict adverse pathological features after radical prostatectomy for prostate cancer in Chinese population.
Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Predictive clinical characteristics for adverse pathological outcomes in intermediate- and high-risk prostate cancer during biopsy.International urology and nephrology · 2025Article
- phi and phiD predict adverse pathological features after radical prostatectomy for prostate cancer in Chinese population.Cancer medicine · 2024Article
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15 authors.
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Abstract
backgroundAnticipating the postoperative pathological stage and potential for adverse features of prostate cancer (PCa) patients before radical prostatectomy (RP) is crucial for guiding perioperative treatment.
methodsA cohort consisting of three sub-cohorts with a total of 709 patients has been enlisted from two major tertiary medical centres in China. The primary assessment parameters for adverse pathological features in this study are the pathological T stage, the AJCC prognostic stage groups and perineural invasion (PNI). Logistic regression analyses were performed to investigate the relationship between prostate specific antigen (PSA), its derivatives (incluing Prostate Health Index, phi and phi density, phiD), and the pathological outcomes after RP.
resultsBoth phi and phiD showed a significant association with pathologic T stage of pT3 or above (phi, adjusted OR, AOR = 2.82, 95% confidence interval, 95% CI: 1.88-4.23, p < 0.001; phiD, AOR = 2.47, 95% CI: 1.76-3.48, p < 0.001) and PNI (phi, AOR = 2.15, 95% CI: 1.39-3.32, p < 0.001; phiD, AOR = 1.94, 95% CI: 1.38-2.73, p < 0.001). In a subgroup analysis with a total PSA value <10 ng/mL, phi and phiD continued to show a significant correlation with pT3 or above (phi, AOR = 4.70, 95% CI: 1.29-17.12, p = 0.019; phiD, AOR = 3.44, 95% CI: 1.51-7.85, p = 0.003), and phiD also maintained its predictive capability for PNI in this subgroup (AOR = 2.10, 95% CI: 1.17-3.80, p = 0.014). Sensitivity analysis indicated that the findings in the combined cohort are mainly influenced by one of the sub-cohorts, partially attributable to disparities in sample sizes between sub-cohorts. Combined analysis of phi(D) and multiparametric MRI (mpMRI) data yielded similar results.
conclusionsPreoperative measurement of serum phi and phiD is valuable for predicting the occurrence of adverse pathological features in Chinese PCa patients after RP.
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