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Emerging evidence suggests that long non-coding RNAs (lncRNAs) are involved in the progression of head and neck squamous cell carcinoma (HNSCC). However, the specific role of LINC00355 in HNSCC remains elusive. Here, we identify the relationship between LINC00355 and the development of HNSCC through the interaction of LINC00355 with microRNA-195 (miR-195), which in turn targets homeoboxA10 (HOXA10). First, we identified differentially expressed lncRNAs and genes related to HNSCC. Next, the interaction among LINC00355, miR-195, and HOXA10 was identified. Subsequently, the expression of LINC00355 and miR-195 was altered to evaluate their effects on viability, invasion, migration, epithelial mesenchymal transition (EMT), and apoptosis of cancer stem cells (CSCs) in HNSCC. Finally, we assessed the ability of LINC00355 to alter tumor growth after HNSCC CSCs were injected into nude mice. Our findings indicate that LINC00355 and HOXA10 were highly expressed in HNSCC, while miR-195 was poorly expressed. CSCs with upregulated aldehyde dehydrogenase 1 (ALDH-1) were sorted. Silencing LINC00355 in these cells led to increased miR-195 expression and a reduction in HOXA10 expression, which inhibited viability, invasion, migration, and EMT and promoted apoptosis of CSCs. Silencing LINC00355 in vivo also led to decreased tumor growth. Our study provides evidence that LINC00355 acts as a miR-195 sponge to promote viability, invasion, migration, and EMT and inhibit apoptosis of CSCs by upregulating HOXA10, suggesting that LINC00355 represents a potential therapeutic target in the treatment of HNSCC.
Pubmed ID: 31837606 RIS Download
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Database of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This website enables users to explore: * The set of genes that are potentially regulated by a particular microRNA. * The implied cooperativity of multiple microRNAs on a particular mRNA. * MicroRNA expression profiles in various mammalian tissues. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. The microRNA Target Detection Software, miRanda, is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL.
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View all literature mentionsCell line HEK293T is a Transformed cell line with a species of origin Homo sapiens (Human)
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