RESUMO
BACKGROUND: Our preliminary bioinformatics analysis showed that lncRNA TINCR may absorb miR-214-5p by serving is sponge, while miR-214-5p targets ROCK1. This study aimed to investigate the interactions among these 3 factors in hepatocellular carcinoma (HCC). METHODS: Expression of TINCR, ROCK1 and miR-214-5p in HCC and non-tumor tissues was detected by performing qPCR. The correlations among TINCR, ROCK1 and miR-214-5p in HCC tissues were analyzed by performing linear regression. Overexpression experiments were performed to analyze gene interactions. Cell proliferation was analyzed by CCK-8 assay. RESULTS: We found that TINCR and ROCK1 were upregulated, while miR-214-5p was downregulated in HCC. TINCR and ROCK1 were positively correlated, while TINCR and miR-214-5p were not significantly correlated. In HCC cells, TINCR overexpression is followed by ROCK1 overexpression, while miR-214-5p overexpression induced the downregulation of ROCK1. In addition, TINCR and miR-214-5p did not affect the expression of each other. TINCR and ROCK1 overexpression led to increased rate of cancer cell proliferation, while miR-214-5p played an opposite role and reduced the effects of TINCR overexpression. Therefore, TINCR sponges miR-214-5p to upregulate ROCK1 in HCC, thereby promoting cancer cell invasion and migration.
Assuntos
Carcinoma Hepatocelular/genética , Neoplasias Hepáticas/genética , MicroRNAs/genética , RNA Longo não Codificante/genética , Quinases Associadas a rho/genética , Adulto , Idoso , Carcinoma Hepatocelular/patologia , Linhagem Celular Tumoral , Movimento Celular/genética , Proliferação de Células/genética , Feminino , Regulação Neoplásica da Expressão Gênica/genética , Humanos , Neoplasias Hepáticas/patologia , Masculino , Pessoa de Meia-Idade , Invasividade Neoplásica/genéticaRESUMO
The transformation of China's economy from extensive growth to high-quality development is essentially an increase in green total factor productivity (GTFP). China currently has a range of environmental regulation tools, and the question of whether environmental regulation can promote improvement in China's GTFP requires theoretical and empirical analysis. This article first divides environmental regulation into three types: administrative, market-based and information-based. It then builds an empirical model of the effect of environmental regulation on GTFP. Slacks based measure-data envelope analysis (SBM-DEA) and the Malmquist index are used to measure the GTFP of 30 provinces in China from 2005 to 2018, and a measurement model of the impact of environmental regulation on GTFP is established. The results show that: (1) there are significant differences in GTFP in eastern, central and western China; (2) there is a non-linear relationship between environmental regulations and GTFP.