Gong Xiaobo, Huang Jian, Guo Linjie, Tang Zhe, Zhong Guangjun, Feng Ye
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The connection between miR-507 and STEAP3 was confirmed through a luciferase reporter assay. The expression level of STEAP3, p53, and xCT was analyzed by western blotting.</p><p><strong>Results: </strong>Bioinformatics analysis showed that miR-507 was expressed at low levels in RCC tissues and was linked to poor overall survival. STEAP3 was found to be significantly upregulated in RCC. Further, STEAP3 was shown to be targeted by miR-507. High levels of miR-507 reduced the expression of STEAP3, leading to stagnant cell viability, apoptosis, and migrative capacity. Whereas miR-507 knockdown reverted such a tendency. The study also discovered that miR-507 exerted its inhibitory effect through the op53/xCT pathway.</p><p><strong>Conclusion: </strong>Within RCC, miR-507 modulates the expression of SETAP3/p53/xCT axis, exhibiting a tumor suppressive effect. These discoveries offer present prospective biomarkers for both surveillance and treatment of RCC.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"miR-507 Acts as a Tumor Suppressor in Renal Cell Carcinoma Cells by Targeting STEAP3.\",\"authors\":\"Gong Xiaobo, Huang Jian, Guo Linjie, Tang Zhe, Zhong Guangjun, Feng Ye\",\"doi\":\"10.2174/0113862073353340241108053733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>In recent years, there has been a rise in the incidence of renal cell carcinoma (RCC), with metastatic RCC being a prevalent and significant contributor to mortality. While a regulatory role for microRNAs (miRNAs) in the development and progression of RCC has been recognized, their precise functions, molecular mechanisms, and potential clinical implications remain inadequately elucidated. Hence, this study aimed to explore the role of miR-507 in RCC and identify STEAP3 as a downstream target of miR-507.</p><p><strong>Methods: </strong>Bioinformatics analysis was used to analyze the expression of miR-507 and STEAP3 in RCC specimens. CCK-8, Transwell, and flow cytometry assays were used to assess the function of miR-507 in RCC cells. The connection between miR-507 and STEAP3 was confirmed through a luciferase reporter assay. The expression level of STEAP3, p53, and xCT was analyzed by western blotting.</p><p><strong>Results: </strong>Bioinformatics analysis showed that miR-507 was expressed at low levels in RCC tissues and was linked to poor overall survival. STEAP3 was found to be significantly upregulated in RCC. Further, STEAP3 was shown to be targeted by miR-507. High levels of miR-507 reduced the expression of STEAP3, leading to stagnant cell viability, apoptosis, and migrative capacity. Whereas miR-507 knockdown reverted such a tendency. The study also discovered that miR-507 exerted its inhibitory effect through the op53/xCT pathway.</p><p><strong>Conclusion: </strong>Within RCC, miR-507 modulates the expression of SETAP3/p53/xCT axis, exhibiting a tumor suppressive effect. 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miR-507 Acts as a Tumor Suppressor in Renal Cell Carcinoma Cells by Targeting STEAP3.
Introduction: In recent years, there has been a rise in the incidence of renal cell carcinoma (RCC), with metastatic RCC being a prevalent and significant contributor to mortality. While a regulatory role for microRNAs (miRNAs) in the development and progression of RCC has been recognized, their precise functions, molecular mechanisms, and potential clinical implications remain inadequately elucidated. Hence, this study aimed to explore the role of miR-507 in RCC and identify STEAP3 as a downstream target of miR-507.
Methods: Bioinformatics analysis was used to analyze the expression of miR-507 and STEAP3 in RCC specimens. CCK-8, Transwell, and flow cytometry assays were used to assess the function of miR-507 in RCC cells. The connection between miR-507 and STEAP3 was confirmed through a luciferase reporter assay. The expression level of STEAP3, p53, and xCT was analyzed by western blotting.
Results: Bioinformatics analysis showed that miR-507 was expressed at low levels in RCC tissues and was linked to poor overall survival. STEAP3 was found to be significantly upregulated in RCC. Further, STEAP3 was shown to be targeted by miR-507. High levels of miR-507 reduced the expression of STEAP3, leading to stagnant cell viability, apoptosis, and migrative capacity. Whereas miR-507 knockdown reverted such a tendency. The study also discovered that miR-507 exerted its inhibitory effect through the op53/xCT pathway.
Conclusion: Within RCC, miR-507 modulates the expression of SETAP3/p53/xCT axis, exhibiting a tumor suppressive effect. These discoveries offer present prospective biomarkers for both surveillance and treatment of RCC.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
Technology transfer, legal and licensing issues
Patents.