No abstract

Five years after the last prostatic carcinoma grading consensus conference of the International Society of Urological Pathology (ISUP), accrual of new data and modification of clinical practice require an update of current pathologic grading guidelines. This manuscript summarizes the proceedings of the ISUP consensus meeting for grading of prostatic carcinoma held in September 2019, in Nice, France. Topics brought to consensus included the following: (1) approaches to reporting of Gleason patterns 4 and 5 quantities, and minor/tertiary patterns, (2) an agreement to report the presence of invasive cribriform carcinoma, (3) an agreement to incorporate intraductal carcinoma into grading, and (4) individual versus aggregate grading of systematic and multiparametric magnetic resonance imaging-targeted biopsies. Finally, developments in the field of artificial intelligence in the grading of prostatic carcinoma and future research perspectives were discussed.

Patients with Gleason score 7 prostate cancer on radical prostatectomy demonstrate a wide range in clinical outcome. Gleason grade 4 prostate cancer encompasses a heterogeneous group of tumor growth patterns including fused, ill-defined, cribriform, and glomeruloid glandular structures. Our objective was to determine the prognostic value of different Gleason grade 4 growth patterns. We performed a nested case-control study among 535 patients with Gleason score 7 prostate cancer at radical prostatectomy, treated between March 1985 and July 2013 at a university hospital in the Netherlands. We analyzed 52 cases (with metastasis, diseasespecific mortality or both) and 109 controls, matched for age, PSA level, and pT stage. Presence of the following Gleason grade 4 patterns was recorded: fused, ill-defined, cribriform, and glomeruloid. Intraductal carcinoma of the prostate and tertiary Gleason grade 5 were additionally assessed. Outcomes were metastasis-free survival and disease-specific survival. We used Cox proportional hazards regression to determine the predictive value of Gleason grade 4 patterns for survival time. The overall prevalence of Gleason grade 4 patterns was as follows: fused 75% (n ¼ 121), ill-defined 64% (n ¼ 102), cribriform 48% (n ¼ 83), and glomeruloid 25% (n ¼ 40). Cribriform pattern was the only pattern with an unequal distribution between cases and controls. Forty-two out of 52 cases (81%) had cribriform growth pattern versus 41/109 controls (38%). In multivariate analysis, presence of cribriform growth was an adverse independent predictor for distant metastasis-free survival (HR 8.0, 95% CI 3.0-21; Po0.001) and disease-specific survival (HR 5.4, 95% CI 2.0-15, P ¼ 0.001). In conclusion, cribriform growth in Gleason grade 4 is a strong prognostic marker for distant metastasis and disease-specific death in patients with Gleason score 7 prostate cancer at radical prostatectomy.

The optimal parameter for discrimination of prostatic carcinoma in the PZ and CG was relative peak enhancement. If relative peak enhancement was not used, then peak enhancement was optimal in the PZ, and washout was optimal in the CG. Poor-to-moderate correlation was present between the dynamic parameters or T2 relaxation rate in carcinoma and the tumor stage, Gleason score, patient age, tumor volume, and prostate-specific antigen.

Prostate cancer (PCa) is the most frequent male malignancy and the second most common cause of cancer-related death in Western countries. Current clinical and pathological methods are limited in the prediction of postoperative outcome. It is becoming increasingly evident that small non-coding RNA (ncRNA) species are associated with the development and progression of this malignancy. To assess the diversity and abundance of small ncRNAs in PCa, we analyzed the composition of the entire small transcriptome by Illumina/ Solexa deep sequencing. We further analyzed the micro-RNA (miRNA) expression signatures of 102 fresh-frozen patient samples during PCa progression by miRNA microarrays. Both platforms were cross-validated by quantitative reverse transcriptase-PCR. Besides the altered expression of several miRNAs, our deep sequencing analyses revealed strong differential expression of small nucleolar RNAs (snoRNAs) and transfer RNAs (tRNAs). From microarray analysis, we derived a miRNA diagnostic classifier that accurately distinguishes normal from cancer samples. Furthermore, we were able to construct a PCa prognostic predictor that independently forecasts postoperative outcome. Importantly, the majority of miRNAs included in the predictor also exhibit high sequence counts and concordant differential expression in Illumina PCa samples, supported by quantitative reverse transcriptase-PCR. Our findings provide miRNA expression signatures that may serve as an accurate tool for the diagnosis and prognosis of PCa.