Prostate CancerStratification of High-risk Prostate Cancer into Prognostic Categories: A European Multi-institutional Study
Introduction
Prostate cancer (PCa) patients with a prostate-specific antigen (PSA) >20 ng/ml, Gleason score (GS) 8–10, or clinical stage ≥T3 constitute a high-risk PCa group, recognized by international scientific organizations [1], [2]. Despite increased use of PSA as a screening tool, a fair proportion of patients still present with high-risk disease [3]. The management of locally advanced and high-risk PCa is one of the most compelling contemporary challenges. In the absence of a randomized trial comparing the true benefit of surgery, radiation therapy (RT), androgen deprivation therapy (ADT), or combinations of these, it is difficult to counsel patients properly on the optimal treatment. Radical prostatectomy (RP) combined with an extended pelvic lymph node dissection is a valid strategy accepted by international guidelines [1], [2]. The putative benefits of RP as first-line treatment are to achieve tumor volume reduction and optimal local control. Pathologic examination of the resection specimen allows for treatment individualization by carefully selecting patients who might benefit from adjuvant treatment. Prospective randomized trials have been conducted in that setting to provide insight into overall treatment strategies, yet the optimal one is far from definitive [4], [5], [6], [7], [8].
Most of the studies assessing outcomes of surgery, RT, or multimodality treatment in high-risk PCa have been confronted with two important problems: the lack of a standard definition of this disease stage and large heterogeneity within this group [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23]. Although most high-risk PCa patients seem to fare well after curative therapy, a subgroup of patients still succumbs despite treatment. Therefore, there is a need to revisit our classification system and attempt to better stratify patients within this heterogeneous high-risk PCa group. Research activity should then focus preferably on those patients at the highest risk of dying from their disease.
In the present study, we attempted to substratify surgically treated high-risk PCa patients in prognostic subgroups with homogeneous PCa-specific survival using combinations of accepted risk factors [2], [22], [23].
Section snippets
Patient population
We identified 1632 consecutive patients with high-risk PCa [1], [2] treated with RP between April 1987 and August 2009 at eight European tertiary centers. Of all patients, 205 who received neoadjuvant ADT and 67 for whom data on neoadjuvant ADT were not available were excluded, leaving 1360 patients available for final analysis.
Clinical stage was assigned according to the 2002 TNM system, prostate biopsies were performed under transrectal ultrasound (TRUS) guidance, and pretreatment PSA was
Study population
Table 1 presents the baseline characteristics. Mean follow-up was 65.5 mo (median: 60.0 mo; interquartile range: 29–95 mo), and 690 patients had follow-up beyond 5 yr. There were 171 deaths, 60 of which were from PCa. Figure 1 displays the PCSS for the entire cohort of high-risk PCa patients. The 5-yr and 10-yr estimated PCSS were 96.4% and 91.3%, respectively.
Univariable analysis
Gleason score was the most important predictor of PCSS (hazard ratio [HR]: 1.85; 95% confidence interval [CI], 1.47–2.32), followed by
Discussion
At diagnosis, PCa is usually classified into major risk categories based on TNM clinical stage, biopsy GS, and pretreatment PSA levels. It is generally assumed that high-risk patients are at an elevated risk of experiencing BCR, metastatic progression, and death from PCa [9], [10], [11], [12]. Interestingly, there is no definitive consensus on the definition of high-risk PCa, and not all patients classified as having high-risk PCa by common definitions have a uniformly poor prognosis after RP
Conclusions
This study presents a stratification of high-risk PCa patients into three demarcated prognostic subgroups. The model is easy to use and can help clinicians in counseling and investigators in selecting a patient population that could benefit from novel perioperative strategies.
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Both authors contributed equally to the manuscript.