دورية أكاديمية

Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments

التفاصيل البيبلوغرافية
العنوان: Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments
المؤلفون: Yeda Chen, Di Gu, Yaoan Wen, Shuxin Yang, Xiaolu Duan, Yongchang Lai, Jianan Yang, Daozhang Yuan, Aisha Khan, Wenqi Wu, Guohua Zeng
المصدر: Cancer Cell International, Vol 20, Iss 1, Pp 1-16 (2020)
بيانات النشر: BMC, 2020.
سنة النشر: 2020
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
LCC:Cytology
مصطلحات موضوعية: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671
الوصف: Abstract Background Although major driver gene have been identified, the complex molecular heterogeneity of renal cell cancer (RCC) remains unclear. Therefore, more relevant genes need to be identified to explain the pathogenesis of renal cancer. Methods Microarray datasets GSE781, GSE6344, GSE53000 and GSE68417 were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified by employing GEO2R tool, and function enrichment analyses were performed by using DAVID. The protein-protein interaction network (PPI) was constructed and the module analysis was performed using STRING and Cytoscape. Survival analysis was performed using GEPIA. Differential expression was verified in Oncomine. Cell experiments (cell viability assays, transwell migration and invasion assays, wound healing assay, flow cytometry) were utilized to verify the roles of the hub genes on the proliferation of kidney cancer cells (A498 and OSRC-2 cell lines). Results A total of 215 DEGs were identified from four datasets. Six hub gene (SUCLG1, PCK2, GLDC, SLC12A1, ATP1A1, PDHA1) were identified and the overall survival time of patients with RCC were significantly shorter. The expression levels of these six genes were significantly decreased in six RCC cell lines(A498, OSRC-2, 786- O, Caki-1, ACHN, 769-P) compared to 293t cell line. The expression level of both mRNA and protein of these genes were downregulated in RCC samples compared to those in paracancerous normal tissues. Cell viability assays showed that overexpressions of SUCLG1, PCK2, GLDC significantly decreased proliferation of RCC. Transwell migration, invasion, wound healing assay showed overexpression of three genes(SUCLG1, PCK2, GLDC) significantly inhibited the migration, invasion of RCC. Flow cytometry analysis showed that overexpression of three genes(SUCLG1, PCK2, GLDC) induced G1/S/G2 phase arrest of RCC cells. Conclusion Based on our current findings, it is concluded that SUCLG1, PCK2, GLDC may serve as a potential prognostic marker of RCC.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1475-2867
Relation: http://link.springer.com/article/10.1186/s12935-020-01405-6; https://doaj.org/toc/1475-2867
DOI: 10.1186/s12935-020-01405-6
URL الوصول: https://doaj.org/article/e93c91fb02434cb5becfe41926ac2477
رقم الأكسشن: edsdoj.93c91fb02434cb5becfe41926ac2477
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14752867
DOI:10.1186/s12935-020-01405-6