Background: Metastatic prostate cancer lesions in the skeleton are frequently characterized by excessive formation of bone. Prostate cancer cells secrete factors, including serine proteases, that are capable of influencing the behavior of surrounding cells. Some of these proteases activate protease-activated receptor-2 (PAR ), which is expressed by osteoblasts (bone-forming cells) and precursors of osteoclasts (bone-resorbing cells). The aim of the current study was to investigate a possible role for PAR in regulating the behavior of bone cells exposed to metastatic prostate cancer cells.
Methods: The effect of medium conditioned by the PC3, DU145, and MDA-PCa-2b prostate cancer cell lines was investigated in assays of bone cell function using cells isolated from wildtype and PAR -null mice. Osteoclast differentiation was assessed by counting tartrate-resistant acid phosphatase-positive multinucleate cells in bone marrow cultured in osteoclastogenic medium. Osteoblasts were isolated from calvariae of neonatal mice, and BrdU incorporation was used to assess their proliferation. Assays of alkaline phosphatase activity and quantitative PCR analysis of osteoblastic gene expression were used to assess osteoblast differentiation. Responses of osteoblasts to medium conditioned by MDA-PCa-2b cells were analyzed by RNAseq.
Results: Conditioned medium (CM) from all three cell lines inhibited osteoclast differentiation independently of PAR . Media from PC3 and DU145 cells had no effect on assays of osteoblast function. Medium conditioned by MDA-PCa-2b cells stimulated BrdU incorporation in both wildtype and PAR -null osteoblasts but increased alkaline phosphatase activity and Runx2 and Col1a1 expression in wildtype but not PAR -null cells. Functional enrichment analysis of RNAseq data identified enrichment of multiple gene ontology terms associated with lysosomal function in both wildtype and PAR -null cells in response to MDA-PCa-2b-CM. Analysis of individual genes identified osteogenesis-associated genes that were either upregulated by MDA-PCa-2b-CM selectively in wildtype cells or downregulated selectively in PAR -null cells.
Conclusions: Factors secreted by prostate cancer cells influence bone cell behavior through both PAR -dependent and -independent mechanisms. Both PAR -independent suppression of osteoclast differentiation and PAR -dependent stimulation of osteogenesis are likely to determine the nature of prostate cancer metastases in bone.
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http://dx.doi.org/10.1002/pros.24316 | DOI Listing |
PLoS One
January 2025
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom.
Introduction: Undiagnosed chronic disease has serious health consequences, and variation in rates of underdiagnosis between populations can contribute to health inequalities. We aimed to estimate the level of undiagnosed disease of 11 common conditions and its variation across sociodemographic characteristics and regions in England.
Methods: We used linked primary care, hospital and mortality data on approximately 1.
Ann Nucl Med
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
The purpose of this systematic review was to evaluate the role of PSMA PET/CT in intermediate-risk prostate cancer (PCa) patients, to determine whether it could help improve treatment strategy and prognostic stratification. A systematic literature search up to May 2024 was conducted in the PubMed, Embase and Scopus databases. Articles with mixed risk patient populations, review articles, editorials, letters, comments, or case reports were excluded.
View Article and Find Full Text PDFJ Neurooncol
January 2025
Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, PA, United States.
Langenbecks Arch Surg
January 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Purpose: Assessing surgical skills is vital for training surgeons, but creating objective, automated evaluation systems is challenging, especially in robotic surgery. Surgical procedures generally involve dissection and exposure (D/E), and their duration and proportion can be used for skill assessment. This study aimed to develop an AI model to acquire D/E parameters in robot-assisted radical prostatectomy (RARP) and verify if these parameters could distinguish between novice and expert surgeons.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, the Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China.
Objective: To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features for predicting the aggressiveness of prostate cancer (PCa).
Materials And Methods: A total of 878 PCa patients from 4 hospitals were retrospectively collected, all of whom had pathological results after radical prostatectomy (RP). A pre-trained AI algorithm was used to select suspected PCa lesions and extract lesion features for model development.
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