Non-small cell lung cancer (NSCLC) is one of the leading causes of global cancer-associated mortality. Aberrant microRNAs (miRs) have been reported to be involved in the pathogenesis of various cancer types. The present study aimed to investigate the expression profile and prognostic value of miR-665 in patients with NSCLC, and to analyze its functional role in tumor progression using NSCLC cells. Reverse transcription-quantitative PCR was used to estimate the expression levels of miR-665. Kaplan-Meier survival curves and Cox regression analysis were performed to evaluate the prognostic value of miR-665. The effects of miR-665 on NSCLC cell proliferation, migration and invasion were examined by cell transfection, and the target gene of miR-665 was explored. miR-665 expression was elevated in the tissue and cell samples of NSCLC. This increased miR-665 expression was associated with lymph node metastasis and TNM stage. An independent association between miR-665 and overall survival was identified in patients with NSCLC. When regulating the expression levels of miR-665 in vitro, NSCLC cell proliferation, migration and invasion were enhanced by overexpression of miR-665, but were inhibited by knockdown of miR-665. The luciferase activity results indicated that the protein tyrosine phosphatase receptor type B (PTPRB) was a direct target of miR-665 in NSCLC cells. The present study provided evidence for the clinical significance of a decreased expression of miR-665 in the prognosis of NSCLC. Upregulation of miR-665 contributed to tumor cell proliferation, migration and invasion by targeting PTPRB, suggesting the potential of miR-665 as a candidate therapeutic target for NSCLC treatment.
Based on theoretical analysis, using the Quasi-natural experiment of the "broadband China" strategy, this paper constructs a multi-time dual difference model between network infrastructure construction and information efficiency of the regional capital market. It conducts an empirical test by using 12156 samples of 1013 A-share listed companies from 2008 to 2019. STATA16 was used for model regression and calculation. The results show that the construction of network infrastructure has a significant positive impact on stock price synchronization. The lower the ownership concentration, the greater the company's growth, and the greater the trading noise in the stock market, the more significant the network promotes the stock price synchronization. Higher stock price synchronization means lower market information efficiency. Further analysis shows that the construction of network infrastructure negatively impacts the information efficiency of the regional capital market by reducing the quality of information disclosure in the capital market. Finally, we hope to face up to the information efficiency of the capital market under the background of the Internet revolution.
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