Improving the Rotterdam European Randomized Study of Screening for Prostate Cancer Risk Calculator for Initial Prostate Biopsy by Incorporating the 2014 International Society of Urological Pathology Gleason Grading and Cribriform growth

On cribriform prostate cancer

The management of newly diagnosed prostate cancer is challenging because of its heterogeneity in histology, genetics and clinical outcome. The clinical outcome of patients with Gleason score 7 prostate cancer varies greatly. Improving risk assessment in this group is of particular interest, as Gleason score 7 prostate cancer on biopsy is an important clinical threshold for active treatment. Architecturally, four Gleason grade 4 growth patterns are recognized: ill-formed, fused, glomeruloid and cribriform. The aim of this review is to describe the role of cribriform growth in prostate cancer with respect to diagnosis, prognosis and molecular pathology. Secondly, we will discuss clinical applications for cribriform prostate cancer and give recommendations for future research.

Head-to-head comparison of prostate cancer risk calculators predicting biopsy outcome

Background

Multivariable risk calculators (RCs) predicting prostate cancer (PCa) aim to reduce unnecessary workup (e.g., MRI and biopsy) by selectively identifying those men at risk for PCa or clinically significant PCa (csPCa) (Gleason ≥7). The lack of an adequate comparison makes choosing between RCs difficult for patients, clinicians and guideline developers. We aim to perform a head-to-head comparison of seven well known RCs predicting biopsy outcome.

Methods

Our study comprised 7,119 men from ten independent contemporary cohorts in Europe and Australia, who underwent prostate biopsy between 2007 and 2015. We evaluated the performance of the ERSPC RPCRC, Finne, Chun, ProstataClass, Karakiewicz, Sunnybrook, and PCPT 2.0 (HG) RCs in predicting the presence of any PCa and csPCa. Performance was assessed by discrimination, calibration and net benefit analyses.

Results

A total of 3,458 (48%) PCa were detected; 1,784 (25%) men had csPCa. No particular RC stood out predicting any PCa: pooled area under the ROC-curve (AUC) ranged between 0.64 and 0.72. The ERSPC RPCRC had the highest pooled AUC 0.77 (95% CI: 0.73–0.80) when predicting csPCa. Decision curve analysis (DCA) showed limited net benefit in the detection of csPCa, but that can be improved by a simple calibration step. The main limitation is the retrospective design of the study.

Conclusions

No particular RC stands out when predicting biopsy outcome on the presence of any PCa. The ERSPC RPCRC is superior in identifying those men at risk for csPCa. Net benefit analyses show that a multivariate approach before further workup is advisable.

Can active surveillance really reduce the harms of overdiagnosing prostate cancer? A reflection of real life clinical practice in the PRIAS study

Background

Active surveillance (AS) for low-risk prostate cancer (PCa) appears to provide excellent long-term PCa-specific and overall survival. The choice for AS as initial treatment is mainly based on avoiding side effects from invasive treatment; but AS entails regular check-ups and the possibility of still having to switch or deciding to switch to invasive treatment. Here, we assessed the long-term follow-up data from AS in real life clinical practices.

Methods

Data from the first 500 men, enrolled in PRIAS before July 2008 by 30 centers across 8 countries, were analyzed to provide long-term follow-up results. Men were advised to be regularly examined with prostate-specific antigen (PSA) tests, digital rectal examinations, and prostate biopsies. Men were advised to switch to invasive treatment if they had disease reclassification [Gleason score (GS) ≥3+4 on biopsy, more than two positive biopsy cores, a stage higher than cT2] or a PSA-doubling time of 0-3 years. We assessed time on AS, outcomes and reasons for discontinuing AS, and rates of potential unnecessary biopsies and treatments.

Results

The median follow-up time was 6.5 years. During this period, 325 (65%) men discontinued after a median of 2.3 years and 121 (24%) men had no recent (>1 year) data-update after a median of 7.3 years. The remaining 54 (11%) men were confirmed to be still on AS. Most men discontinued based on protocol advice; 38% had other reasons. During follow-up, 838 biopsy sessions were performed of which 79% to 90% did not lead to reclassification, depending on the criteria. Of the 325 discontinued men, 112 subsequently underwent radical prostatectomy (RP), 126 underwent radiotherapy, 57 switched to watchful waiting (WW) or died, and 30 had another or unknown treatment. RP results were available of 99 men: 34% to 68%, depending on definition, had favorable outcomes; 50% of unfavorable the outcomes occurred in the first 2 years. Of the 30 (6%) men who died, 1 man died due to PCa.

Conclusions

These data, reflecting real life clinical practice, show that more than half of men switched to invasive treatment within 2.3 years, indicating limitations to the extent in which AS is able to reduce the adverse effects of overdiagnosis. Therefore, despite guidelines stating that PCa diagnosis must be uncoupled from treatment, it remains important to avoid overdiagnosing PCa as much as possible.

The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential

BACKGROUND

It has been shown that the Stockholm-3 model (S3M) outperforms prostate-specific antigen (PSA) as a screening tool for prostate cancer.

OBJECTIVE

To update the S3M, to give a detailed account of the value of each predictor in the S3M, and to evaluate the S3M as a reflex test for men with PSA ≥3ng/ml.

DESIGN, SETTING, AND PARTICIPANTS

During 2012-2015, the Stockholm-3 study evaluated the S3M relative to PSA as tests for Gleason score ≥7 prostate cancers among men aged 50-69 yr. The participants (n=59 159) underwent both tests, and biopsy was recommended if at least one was positive. A total of 5073 men had a biopsy because of elevated PSA (≥3ng/ml).

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Logistic regression was used to update the S3M: intact PSA was removed, HOXB13 was included, and the model was fitted to data from the Stockholm-3 training and validation cohorts. To compare S3M with PSA, we fixed the sensitivity for detection of high-grade cancer and evaluated the performance as the number of biopsies needed to achieve that sensitivity for each test.

RESULTS AND LIMITATIONS

The updated S3M slightly improved the area under the receiver operating characteristic curve compared to previously published results (0.75 vs 0.74). When used as a reflex test for men with PSA ≥3ng/ml, S3M reduced the number of biopsies needed by 34% compared to the use of PSA alone, with equal sensitivity. A limitation is the ethnically homogeneous population.

CONCLUSIONS

A major problem with PSA screening-too many unnecessary biopsies-can be mitigated if S3M is used as a reflex test.

PATIENT SUMMARY

To find aggressive prostate cancer with the minimum number of negative biopsies and detection of clinically insignificant cancers, we evaluated the use of a personalized diagnostic prediction model as a second test for men with a positive prostate-specific antigen (PSA) test. We found that this two-step approach could reduce prostate biopsies by a third compared to using PSA alone.