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https://www.selleckchem.com/products/sbc-115076.html The validation results of external data sets show that our model has good predictive value for ccRCC patients. The model can be an independent prognostic factor. Finally, the results show that our model has a stable predictive ability. The autophagy gene model we constructed can be used as an excellent prognostic indicator for ccRCC. Our study provides the possibility of individualized and precise treatment for ccRCC patients. The autophagy gene model we constructed can be used as an excellent prognostic indicator for ccRCC. Our study provides the possibility of individualized and precise treatment for ccRCC patients.MicroRNAs (miRNAs) regulate progression of different cancers. Nevertheless, there is limited information regarding the role of miR-106a-5p in renal cell carcinoma (RCC). Herein, we demonstrate that miR-106a-5p levels are drastically decreased in clear cell RCC (ccRCC) tissues and cell lines, which subsequently contribute to a poor patient overall survival and a high tumor stage. By screening and analyzing, we found that miR-106a-5p directly targets the 3'-UTR of the VEGFA mRNA and led to a decrease in VEGFA. This process is important for tumor cells' growth and colony formation, and overexpression of miR-106a-5p can especially kill kidney tumor cells. Therefore, our data reveal that miR-106a-5p functions as a tumor suppressor by regulating VEGFA and ccRCC may be susceptible to miR-106a-5p therapy. Our study was aimed at investigating the mechanistic consequences of the upregulation of ( ) in glioblastoma (GBM). The expression of in GBM was assessed by bioinformatics analysis and qRT-PCR; the effects of on GBM cell proliferation, migration, invasion, and tumor growth in vitro and in vivo were detected by a CCK-8 assay, colony formation assay, scratch assay, Transwell assay, and subcutaneous tumor formation, respectively. The activation of related signaling pathways was monitored using western blot. Tum

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