Objective: Perineural invasion (PNI) is detected in almost 20% of prostate biopsies and has been related to worse prognostic factors in radical prostatectomy (RP) specimens and lower disease-free survival rates. The aim of this study was to evaluate the importance of PNI during periods of extended prostate biopsies and to determine the value of this preoperative parameter as a predictor of pathologic findings in surgical specimens and in biochemical recurrence.
Materials And Methods: Between 2001 and 2009, 599 prostate biopsies and their respective RP specimens were examined in our laboratory. The RP specimens were always examined completely. The mean age of the patients was 61 years, and the mean PSA was 6.4 ng/mL. The mean and median number of biopsy cores obtained was 14.4 and 14, respectively. PNI was identified in 105 biopsies (17.5%). We studied the ability of PNI in prostate biopsies to determine the tumor stage in surgical specimens and the relationship of PNI with biochemical recurrence during a mean follow-up time of 51.4 months.
Results: The presence of PNI in prostate biopsies was observed in older patients (63 vs. 61 years old, P = 0.008). All of the prognostic factors determined for the RP specimens were significantly worse in patients with PNI compared with those without PNI. PNI was strongly associated with a higher pathologic stage (87% specificity, 40% sensitivity, odds ratio 4.8). Stage pT3 prostatic cancer was determined in 46 (43.8%) of 105 patients with PNI on biopsy compared to 69 (14%) of 494 patients without PNI (P = 0.01). Fifty-six (19.6%) patients had a biochemical recurrence, and PNI correlated significantly with PSA recurrence. A Kaplan-Meier analysis revealed a significant difference in recurrence-free survival between patients with and without PNI (45% vs. 53%, respectively, P = 0.021, log-rank test = 0.19).
Conclusion: PNI is an important morphologic preoperative predictor of the pathologic stage as well as biochemical recurrence and must always be mentioned when adenocarcinoma is diagnosed on prostate biopsies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.urolonc.2010.11.008 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comprehensive computational analysis of differentially expressed miRNAs and their influence on transcriptomic signatures in prostate cancer.
Sci Rep
January 2025
Department of Pharmaceutics, College of Pharmacy, King Saud University, PO Box 2457, Riyadh, 11451, Saudi Arabia.
Prostate cancer presents a major health issue, with its progression influenced by intricate molecular factors. Notably, the interplay between miRNAs and changes in transcriptomic patterns is not fully understood. Our study seeks to bridge this knowledge gap, employing computational techniques to explore how miRNAs and transcriptomic alterations jointly regulate the development of prostate cancer.
View Article and Find Full Text PDF3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter study.
Insights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Purposes: The presence of clinically significant prostate cancer (csPCa) is equivocal for patients with prostate imaging reporting and data system (PI-RADS) category 3. We aim to develop deep learning models for re-stratify risks in PI-RADS category 3 patients.
Methods: This retrospective study included a bi-parametric MRI of 1567 consecutive male patients from six centers (Centers 1-6) between Jan 2015 and Dec 2020.
Genetic ancestry concordant RNA splicing in prostate cancer involves oncogenic genes and associates with recurrence.
NPJ Precis Oncol
January 2025
Duke Cancer Institute Center for Prostate & Urologic Cancers, Duke University School of Medicine, Durham, NC, 27710, USA.
Black men suffer disproportionately from prostate cancer (PCa) compared to men of other races and ethnicities. Comparing the molecular landscape of PCa among Black and White patients has the potential to identify targets for development of new precision medicine interventions. Herein, we conducted transcriptomic analysis of prostate tumors and paired tumor-adjacent normals from self-reported Black and White PCa patients and estimated patient genetic ancestry.
View Article and Find Full Text PDFVSTM2L protects prostate cancer cells against ferroptosis via inhibiting VDAC1 oligomerization and maintaining mitochondria homeostasis.
Nat Commun
January 2025
College of Life Sciences, Shaanxi Normal University, 710119, Xi'an, China.
Ferroptosis is a form of iron-dependent programmed cell death, which is distinct from apoptosis, necrosis, and autophagy. Mitochondria play a critical role in initiating and amplifying ferroptosis in cancer cells. Voltage-Dependent Anion Channel 1 (VDAC1) embedded in the mitochondrial outer membrane, exerts roles in regulation of ferroptosis.
View Article and Find Full Text PDFBackground And Objective: To assess whether conventional brightness-mode (B-mode) transrectal ultrasound images of the prostate reveal clinically significant cancers with the help of artificial intelligence methods.
Methods: This study included 2986 men who underwent biopsies at two institutions. We trained the PROstate Cancer detection on B-mode transrectal UltraSound images NETwork (ProCUSNet) to determine whether ultrasound can reliably detect cancer.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!