The major threat in prostate cancer is the occurrence of metastases in androgen-independent tumor stage, for which no causative cure is available. Here we show that metastatic behavior of androgen-independent prostate tumor cells requires the protein-kinase-C-related kinase (PRK1/PKN1) in vitro and in vivo. PRK1 regulates cell migration and gene expression through its kinase activity, but does not affect cell proliferation. Transcriptome and interactome analyses uncover that PRK1 regulates expression of migration-relevant genes by interacting with the scaffold protein sperm-associated antigen 9 (SPAG9/JIP4). SPAG9 and PRK1 colocalize in human cancer tissue and are required for p38-phosphorylation and cell migration. Accordingly, depletion of either ETS domain-containing protein Elk-1 (ELK1), an effector of p38-signalling or p38 depletion hinders cell migration and changes expression of migration-relevant genes as observed upon PRK1-depletion. Importantly, a PRK1 inhibitor prevents metastases in mice, showing that the PRK1-pathway is a promising target to hamper prostate cancer metastases in vivo. Here we describe a novel mechanism controlling the metastatic behavior of PCa cells and identify PRK1 as a promising therapeutic target to treat androgen-independent metastatic prostate cancer.
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http://dx.doi.org/10.18632/oncotarget.2653 | 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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