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Lnc-MUC20-9 binds to ROCK1 and functions as a tumor suppressor in bladder cancer.
J Cell Biochem ; 2020 Jan 03.
Artigo em Inglês | MEDLINE | ID: mdl-31898364
The study aimed to investigate the expression and function of bladder cancer (BC) long noncoding RNAs (lncRNAs) using a high-throughput platform. High-throughput sequencing was used to compare the expression profiles of lncRNA in BC and adjacent normal tissues. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR), in situ hybridization, gene ontology, and Kyoto Encyclopedia of Genes and Genomes analysis were performed to verify differential expression of lncRNA. The effect of lncRNA overexpression on cellular proliferation, apoptosis, migration, and invasion was analyzed following the transfection of lncRNA overexpressing lentivirus into 5637 and T24 cell lines. The overexpressing cells were subcutaneously injected into nude mice to evaluate their effects on tumor growth. Tumor-associated RNA-binding proteins of lncRNA were analyzed by RNA pull-down combined with mass spectrometry. A total of 93 lncRNA genes were upregulated and 352 lncRNA genes were downregulated in the tissues of patients with BC. Of which, we investigated the function of downregulated lnc-MUC20-9. Overexpression of lnc-MUC20-9 in 5637 and T24 cells resulted in decreased tumor cell viability and cell clones, decreased migration and invasion, and increased apoptosis. Similarly, nude mice bearing lnc-MUC20-9 overexpressing tumor cells exhibited smaller tumor size and volume than that of mice bearing control cells. Mass spectrometry analysis showed that lnc-MUC20-9 binds to ROCK1, an oncogene whose expression was decreased in lnc-MUC20-9 overexpressing cells. The study revealed that lnc-MUC20-9 has the function of inhibiting tumor growth, migration, and invasion. In BC cells, lnc-MUC20-9 binds to ROCK1 and may be involved in lnc-MUC20-9-mediated tumor suppressor function, which might be potential therapeutic targets for BC.





Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Artigo País de afiliação: China