The tissue concentrations of urokinase-type plasminogen activator (u-PA), urokinase-type plasminogen activator receptor (u-PAR), plasminogen activator inhibitor type 1 (PAI-1) and tissue-type plasminogen activator (t-PA) were investigated by an ELISA technique in normal and malignant samples of the prostate from 24 patients undergoing radical prostatectomy for organ-confined prostate cancer. The median concentration of u-PA was significantly higher in cancerous than in normal prostate tissue (p = 0.006). No significant increase of u-PAR, PAI-1 and t-PA was found in cancer tissue in comparison with the benign samples (p > 0.05). Assessment of the relationship between fibrinolytic proteins and DNA ploidy revealed an increased u-PA, u-PAR and PAI-1 in diploid prostate cancer as compared with the normal controls. However, in aneuploid cancer u-PA remained high but u-PAR and PAI-1 were decreased. This led to a higher local concentration of u-PA in aneuploid samples than in normal prostate and in diploid prostate cancer. No alteration of median t-PA was found in benign prostate or in diploid or aneuploid prostate cancer. The altered expression of u-PA, u-PAR and PAI-1 in diploid and aneuploid prostate cancer suggests a possible role of fibrinolytic proteins in the different biologic behavior of tumors, and may be one explanation for the higher metastatic potential of aneuploid tumors.
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http://dx.doi.org/10.1002/(SICI)1097-0215(19981029)78:3<320::AID-IJC11>3.0.CO;2-A | DOI Listing |
Urologie
January 2025
Klinik und Poliklinik für Urologie, Universitätsklinikum Essen, Hufelandstraße 55, 45147, Essen, Deutschland.
The superiority of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) over conventional staging methods such as computed tomography (CT) and bone scintigraphy has now been demonstrated for almost all clinical stages of prostate cancer. In primary diagnostics, PSMA-PET/CT is therefore the new standard for risk-adapted whole-body staging. At the same time, PSMA-PET/CT provides a new risk-based classification for predicting overall survival across all early and late stages of the disease.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
https://www.procancer-i.eu/.
Purpose To assess the impact of scanner manufacturer and scan protocol on the performance of deep learning models to classify prostate cancer (PCa) aggressiveness on biparametric MRI (bpMRI). Materials and Methods In this retrospective study, 5,478 cases from ProstateNet, a PCa bpMRI dataset with examinations from 13 centers, were used to develop five deep learning (DL) models to predict PCa aggressiveness with minimal lesion information and test how using data from different subgroups-scanner manufacturers and endorectal coil (ERC) use (Siemens, Philips, GE with and without ERC and the full dataset)-impacts model performance. Performance was assessed using the area under the receiver operating characteristic curve (AUC).
View Article and Find Full Text PDFHistol Histopathol
January 2025
Department of Cytology, Institute for Biological Research "Siniša Stanković" - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.
Orchidectomy and estrogenization of the male represent a procedure that is applicable in sex reassignment or in prostate cancer therapy. This approach has an influence on the hypothalamic-pituitary-adrenal axis and thus affects cardiovascular function and metabolism. We utilized orchidectomized rats to evaluate the effects of estradiol on the structure and hormonal output of the adrenal gland.
View Article and Find Full Text PDFBJU Int
January 2025
Faculty of Social Sciences (Health Sciences), Prostate Cancer Research Center, Tampere University, Tampere, Finland.
Objective: To assess the association between prostate-specific antigen (PSA) density (PSAD) and prostate cancer mortality after a benign result on systematic transrectal ultrasonography (TRUS)-guided prostate biopsy.
Patients And Methods: This retrospective study used data from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC) collected between 1996 and 2020. We identified men aged 55-71 years randomised to the screening arm with PSA ≥4.
Mol Oncol
January 2025
Urologic Oncology Research Group, Cancer Research Program, Research Institute of the McGill University Health Center, Montreal, Canada.
Patient stratification remains a challenge for optimal treatment of prostate cancer (PCa). This clinical heterogeneity implies intra-tumoural heterogeneity, with different prostate epithelial cell subtypes not all targeted by current treatments. We reported that such cell subtypes are traceable in liquid biopsies through representative transcripts.
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