Publication Date
11-1-2023
Journal
Cells
DOI
10.3390/cells13121005
PMID
38920635
PMCID
PMC11201841
PubMedCentral® Posted Date
6-8-2024
PubMedCentral® Full Text Version
Post-Print
Published Open-Access
yes
Keywords
Mice, Animals, Lipopolysaccharides, Gene Deletion, Liver, Cytokines, Sepsis, Bacterial Infections, Bacteremia, Nucleotides, Arginine, Receptors, Purinergic, Amino Acids, Mice, Inbred C57BL, Receptors, Purinergic P2Y2, Mice, Knockout, patient-derived cells, PCa, CR
Abstract
Prostate cancer (PCa) remains a leading cause of mortality among American men, with metastatic and recurrent disease posing significant therapeutic challenges due to a limited comprehension of the underlying biological processes governing disease initiation, dormancy, and progression. The conventional use of PCa cell lines has proven inadequate in elucidating the intricate molecular mechanisms driving PCa carcinogenesis, hindering the development of effective treatments. To address this gap, patient-derived primary cell cultures have been developed and play a pivotal role in unraveling the pathophysiological intricacies unique to PCa in each individual, offering valuable insights for translational research. This review explores the applications of the conditional reprogramming (CR) cell culture approach, showcasing its capability to rapidly and effectively cultivate patient-derived normal and tumor cells. The CR strategy facilitates the acquisition of stem cell properties by primary cells, precisely recapitulating the human pathophysiology of PCa. This nuanced understanding enables the identification of novel therapeutics. Specifically, our discussion encompasses the utility of CR cells in elucidating PCa initiation and progression, unraveling the molecular pathogenesis of metastatic PCa, addressing health disparities, and advancing personalized medicine. Coupled with the tumor organoid approach and patient-derived xenografts (PDXs), CR cells present a promising avenue for comprehending cancer biology, exploring new treatment modalities, and advancing precision medicine in the context of PCa. These approaches have been used for two NCI initiatives (PDMR: patient-derived model repositories; HCMI: human cancer models initiatives).
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