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https://www.selleckchem.com/products/r-gne-140.html Herein, we aimed to identify biomarkers that affect lymphatic metastasis of oral squamous cell carcinoma (OSCC) through bioinformatic analysis, and clinicopathological and in vitro verifications. The OSCC-related gene expression dataset was retrieved from The Cancer Genome Atlas (TCGA) and analyzed to identify differentially expressed genes (DEGs), which were subjected to pathway analysis. Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were performed to identify hub genes. Expression of potential biomarkers was examined using quantitative real-time polymerase chain reaction, immunohistochemistry, and western blotting. Statistical analyses were performed to determine the association between biomarker expression and clinicopathological characteristics of patients with OSCC. Effects of selected biomarkers on proliferation, migration, and invasion were evaluated using in vitro assays. For DEGs, Gene Ontology (GO) and Kyoto Encyclopedia of Genes anon. The aim of this study was to investigate the effects of long non-coding RNA (lncRNA) HOXA10 antisense RNA (HOXA10-AS) on the properties of oral squamous cell carcinoma (OSCC) stem cells and the molecular mechanism. Tumor and the paracancerous tissues were collected from 83 patients with OSCC. OSCC stem cells were extracted from a human OSCC cell line Tca8113. Silencing of HOXA10-AS was introduced in stem cells and then the malignant behaviors of cells were determined. The target transcripts of HOXA10-AS were predicted using integrated bioinformatics analyses. The interactions among HOXA10-AS, microRNA (miR)-29a and MCL-1 were validated, and their functions in stem cell behaviors in vivo and in vitro were explored. HOXA10-AS and MCL-1 were highly expressed while miR-29a was poorly expressed in the collected tumor tissues and the extracted OSCC stem cells. High expression of HOXA10-AS and MCL-1, while poor expressi

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