Outcomes and predictive factors of prostate cancer patients with extremely high prostate-specific antigen level - Abstract

PURPOSE: Prostate-specific antigen (PSA) is a useful biomarker of prostate cancer (PCa).

High-risk localized PCa is defined using T stage, Gleason score (GS), and PSA. However, PSA level defining high-risk PCa is at most 20 ng/mL. In PCa patients with high PSA, it is unclear whether PSA itself can be a prognostic factor.

METHODS: Of 642 patients who were diagnosed as PCa, 90 patients with PSA > 100 ng/mL were retrospectively analyzed. Patients were divided into three groups according to PSA level: very high (>1,000 ng/mL), moderately high (200-1,000 ng/mL), and slightly high (100-200 ng/mL).

RESULTS: There were no significant differences in overall survival or PCa-specific survival (PCaSS) among the three groups. Regardless of PSA level, high M stage and GS significantly reduced PCaSS. When the risk classification was made using M stage and GS (high risk = M1 and GS ≥ 9, low risk = M0 and GS < 9, and intermediate risk = others), PCaSS was significantly different among high-, intermediate-, and low-risk groups with 5-year survival rates of 58.2, 80.6, and 100 %, respectively. Although there were no differences in treatment performed during the castration-resistant stage, patients undergoing alternative anti-androgen and zoledronic acid treatment had better PCaSS after being castration-resistant.

CONCLUSIONS: As PSA could not be a prognostic factor in PCa patients with high PSA > 100 ng/mL, the novel risk classification using M stage and GS may help clinicians to predict PCaSS and to plan follow-up schedules after diagnosis.

Written by:
Izumi K, Lin WJ, Miyamoto H, Huang CK, Maolake A, Kitagawa Y, Kadono Y, Konaka H, Mizokami A, Namiki M.   Are you the author?
Department of Integrative Cancer Therapy and Urology, Graduate School of Medical Science, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.  

Reference: J Cancer Res Clin Oncol. 2014 Apr 19. Epub ahead of print.
doi: 10.1007/s00432-014-1681-8


PubMed Abstract
PMID: 24747988

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