phi and phiD predict adverse pathological features after radical prostatectomy for prostate cancer in Chinese population

Author:

Shi Ruofan1,Huang Da1,Yan Jiaqi1,Ruan Xiaohao1ORCID,Huang Jingyi1,Liu Jiacheng1,Huang Jinlun1,Zhan Yongle2,Yao Chi2,Chun Tsun Tsun Stacia2,Ho Brian Sze‐Ho23,Ng Ada Tsui‐Lin23,Gao Yi1,Xu Danfeng1,Na Rong2ORCID

Affiliation:

1. Department of Urology Ruijin Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China

2. Division of Urology, Department of Surgery School of Clinical Medicine, LKS School of Medicine, The University of Hong Kong Hong Kong China

3. Division of Urology, Department of Surgery Queen Mary Hospital Hong Kong China

Abstract

AbstractBackgroundAnticipating 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.

Publisher

Wiley

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