Cancer Medicine (Aug 2024)

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

  • Ruofan Shi,
  • Da Huang,
  • Jiaqi Yan,
  • Xiaohao Ruan,
  • Jingyi Huang,
  • Jiacheng Liu,
  • Jinlun Huang,
  • Yongle Zhan,
  • Chi Yao,
  • Tsun Tsun Stacia Chun,
  • Brian Sze‐Ho Ho,
  • Ada Tsui‐Lin Ng,
  • Yi Gao,
  • Danfeng Xu,
  • Rong Na

DOI
https://doi.org/10.1002/cam4.70085
Journal volume & issue
Vol. 13, no. 15
pp. n/a – n/a

Abstract

Read online

Abstract Background Anticipating the postoperative pathological stage and potential for adverse features of prostate cancer (PCa) patients before radical prostatectomy (RP) is crucial for guiding perioperative treatment. Methods A 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. Results Both 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. Conclusions Preoperative measurement of serum phi and phiD is valuable for predicting the occurrence of adverse pathological features in Chinese PCa patients after RP.

Keywords