Stanniocalcin1 (STC1) is a secreted glycoprotein, which is highly expressed in prostate cancer cells. However, the biological functions of STC1 in modulating ferroptosis and glycolysis in prostate cancer are still not clear. The viability of PC-3 and DU145 cells was detected by CCK-8 assay. The relative Fe2+ level was detected by an Iron Assay Kit. MDA level was detected by Lipid Peroxidation MDA Assay Kit. Glucose uptake and lactate product were measured by Glycolysis Assay Kit and Lactate Assay Kit. In this study, STC1 was highly expressed in prostate cancer tissue specimens and cells. STC1 knockdown suppressed prostate cancer cell proliferation, and upregulated Fe2+ level, reduced glutathione (GSH) level, downregulated GPX4 and SLC7A11 protein expressions in PC-3 cells and DU145 cells. Besides, STC1 knockdown decreased glucose uptake, lactate product, and ATP level, as well as downregulated glycolysis-related protein HK2 and LDHA protein expressions. In addition, STC1 knockdown repressed the Nrf2/HO-1/NQO1 pathway. Nrf2 pathway activator, Oltipraz, upregulated Nrf2, total NQO1, and HO-1 expressions in PC-3 cells and DU145 cells. Moreover, Nrf2 pathway activator Oltipraz reversed the effect of STC1 knockdown on Fe2+ level and GPX4, SLC7A11, HK2, LDHA protein expressions in PC-3 cells and DU145 cells. Finally, STC1 knockdown restrained the tumor volume, tumor weight, and glycolysis in prostate cancer in vivo. Thus, STC1/Nrf2 pathway is a vital pathway to induce ferroptosis and suppress glycolysis in prostate cancer.
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http://dx.doi.org/10.4149/neo_2022_220626N665 | 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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