Purpose: The purpose of our study was to evaluate the association of baseline MRI Prostate Imaging Reporting and Data System (PI-RADS) score with biopsy reclassification in a multicenter active surveillance (AS) cohort.
Materials And Methods: We identified men in the Michigan Urological Surgery Improvement Collaborative registry (46 hospital-based/academic/private practice urology groups) with National Comprehensive Cancer Network (NCCN) low-risk and favorable intermediate-risk prostate cancer who underwent MRI within 6 months before or after initial biopsy and enrolled in AS from June 2016 to January 2021. The primary objective was to determine the association of baseline MRI PI-RADS score (≥4 lesion) with reclassification to high-grade prostate cancer (≥grade group 3) on surveillance biopsy. Multivariable Cox proportional hazards regression models were constructed and adjusted for pathologic, MRI, and clinical/biopsy factors, with landmark time of 6 months from diagnostic biopsy. We included an interaction term between PI-RADS score and NCCN group in the Cox model.
Results: A total of 1491 men were included with median age 64 years (IQR: 59-69) with median follow-up 11.0 months (IQR: 6.0-23.0) after landmark. Baseline PI-RADS ≥ 4 lesion was associated with an increased hazard of biopsy reclassification (HR: 2.3 [95% CI: 1.6-3.2], < .001), along with grade group 2 vs 1 (HR: 2.5 [95% CI: 1.7-3.7], < .001), and increasing age (per 10 years; HR: 1.8 [95% CI: 1.4-2.4], < .001). The interaction between NCCN risk group with MRI findings was not significant ( = .7).
Conclusions: In this multicenter cohort study of real-world data, baseline MRI PI-RADS score was significantly associated with early biopsy reclassification in men undergoing AS with NCCN low- or favorable intermediate-risk prostate cancer.
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http://dx.doi.org/10.1097/JU.0000000000004117 | DOI Listing |
Prostate Cancer
December 2024
Department of Histopathology and Cytology, Faculty of Medical Laboratory Sciences, Al-Neelain University, Khartoum, Sudan.
Prostate cancer is the most common noncutaneous malignancy among men worldwide, including in Sudan, where it represents a significant public health challenge. CD147, a transmembrane glycoprotein implicated in tumor progression, invasion, and metastasis, has shown potential as a prognostic biomarker in various cancers. This retrospective case-control study aimed to evaluate CD147 expression in prostate adenocarcinoma among Sudanese men and its association with tumor grade.
View Article and Find Full Text PDFJ West Afr Coll Surg
August 2024
Division of Urology, Department of Surgery, College of Health Sciences, University of Abuja, Abuja, Nigeria.
Background: Prostate cancer (PCa) was the most common noncutaneous cancer among Nigerian men in 2020. Despite this high incidence, documented rates may be an underestimation.
Objectives: This study aimed to determine the hospital incidence rate, trends, and characterise the clinicopathologic features, and treatment outcomes of patients with PCa in our institution.
Oncol Res
December 2024
Department of Rehabilitation, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Background: Transmembrane emp24 trafficking protein 3 (TMED3) is associated with the development of several tumors; however, whether TMED3 regulates the progression of prostate cancer remains unclear.
Materials And Methods: Short hairpin RNA was performed to repress TMED3 in prostate cancer cells (DU145 cells) and in a prostate cancer mice model to determine its function in prostate cancer and .
Results: In the present study, we found that TMED3 was highly expressed in prostate cancer cells.
Front Oncol
December 2024
Department of Orthopedics, Chengdu Fifth People's Hospital, Chengdu, China.
Background: Prostate cancer (PCa) ranks as the second leading cause of cancer-related mortality among men. Long non-coding RNAs (lncRNAs) are known to play a regulatory role in the development of various human cancers. LncRNA MAFG-divergent transcript (MAFG-DT) was reported to play a crucial role in tumor progression of multiple human cancers, such as pancreatic cancer, colorectal cancer, bladder cancer, and gastric cancer.
View Article and Find Full Text PDFBioinform Adv
November 2024
Laboratory of Molecular Science and Engineering, Åbo Akademi University, Henrikinkatu 2, Turku 20500, Finland.
Motivation: NMR-based metabolomics is a field driven by technological advancements, necessitating the use of advanced preprocessing tools. Despite this need, there is a remarkable scarcity of comprehensive and user-friendly preprocessing tools in Python. To bridge this gap, we have developed Protomix-a Python package designed for metabolomics research.
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