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, disease-specific 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=121), ill-defined 64% (n=102), cribriform 48% (n=83), and glomeruloid 25% (n=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; P<0.001) and disease-specific survival (HR 5.4, 95% CI 2.0-15, P=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.
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http://dx.doi.org/10.1038/modpathol.2014.116 | DOI Listing |
BJUI Compass
December 2024
Department of Urology, Jules Bordet Institute, Hôpital Universitaire de Bruxelles Université Libre de Bruxelles Brussels Belgium.
Objective: The aim of this study was to assess the precision and safety of targeted microwave ablation (TMA) using organ-based tracking (OBT) fusion, in patients with intermediate risk prostate cancer.
Patients And Method: We conducted a prospective, multicentric trial. Eligible patients had a prostate-specific antigen (PSA) < 20 ng/mL, a magnetic resonance imaging (MRI)-visible index tumour of Gleason score 3 + 4, with largest axis ≤15 mm and distant of at least 5 mm from the rectum and apex.
Acad Radiol
December 2024
Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104 (D.A.T.). Electronic address:
Rationale And Objectives: Prostate cancer (PCa) is the second most common cancer among men and a leading cause of cancer-related mortalities. Radiomics has shown promising performances in the classification of PCa grade group (GG) in several studies. Here, we aimed to systematically review and meta-analyze the performance of radiomics in predicting GG in PCa.
View Article and Find Full Text PDFBrachytherapy
December 2024
Department of Radiology, Wakayama Medical University, Wakayamashi, Wakayama, Japan.
Purpose: High-dose-rate brachytherapy (HDR-BT) combined with external beam radiotherapy (EBRT) is an effective treatment for patients with high- and very-high-risk prostate cancer. We sought to identify the factors associated with reduced biochemical recurrence rates following HDR-BT.
Methods: A total of 304 patients with high- or very-high-risk prostate cancer who underwent HDR-BT and EBRT were analyzed.
Breast cancer (BC), a globally prevalent malignancy, shows significant variability in incidence across different geographical regions. In this study, we examined the expression of the tumor suppressor gene BRCA1 and the tumor marker CA15-3 in women diagnosed with BC, focusing on different cancer grades. Our research, conducted at the Baqiyat Elah Hospital in Tehran in 2021, involved collecting blood and serum samples from BC patients.
View Article and Find Full Text PDFJ Med Signals Sens
December 2024
Department of Radiation Sciences, School of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
Purpose: This study aimed to investigate the performance of multiparametric magnetic resonance imaging (mpMRI) radiomic feature-based machine learning (ML) models in classifying the Gleason grade group (GG) of prostate cancer.
Methods: In this retrospective study, a total of 203 patients with histopathologically confirmed prostate cancer who underwent mpMRI before prostate biopsy were included. After manual segmentation, radiomic features (RFs) were extracted from T2-weighted, apparent diffusion coefficient, and high b-value diffusion-weighted magnetic resonance imaging (DWMRI).
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