LncRNA BCYRN1/miR-490-3p/POU3F2, served as a ceRNA network, is connected with worse survival rate of hepatocellular carcinoma patients and promotes tumor cell growth and metastasis.

BACKGROUNDS: LncRNA Brain Cytoplasmic RNA 1 (BCYRN1) has been certified to modulate cancer cells growth and aggressiveness in several tumors. However, research about function of BCYRN1 in hepatocellular carcinoma (HCC) is limited. Therefore, our research intends to explore the function of BCYRN1 in HCC. METHODS: HepG2 and BEL-7402 cell lines were employed for later function experiments. Differently expression levels of BCYRN1, miR-490-3p, and POU class 3 homeobox 2 (POU3F2) were determined on the base of TCGA dataset including 375 HCC patients and 50 normal. 370 cases of patients, which have fairly complete clinical data, were utilized for survival analysis of BCYRN1, miR-490-3p, or POU3F2 by Kaplan-Meier method. Relative expression pattern of BCYRN1 was examined by quantitative real time polymerase chain reaction (qRT-PCR), and relative expression level of POU3F2 was assessed by qRT-PCR and western blot. Cell biological behaviors were analyzed by cell counting kit-8, cloning formation, and transwell assays. Bioinformatics software and dual luciferase assay were applied to predict and confirm the targeted relationship between BCYRN1 and miR-490-3p, as well as miR-490-3p and POU3F2. Further associations among BCYRN1, miR-490-3p, and POU3F2 were analyzed by rescue assays. RESULTS: Our results exhibited that BCYRN1 was over expressed in HCC samples, which was connected with unfavorable prognosis in HCC patients. In addition, a series of experiments exhibited that overexpression of BCYRN1 significantly expedited HCC cells growth, clone formation, and movement abilities, and vice versa. Moreover, targeted relationships between BCYRN1 and miR-490-3p, as well as miR-490-3p and POU3F2 were affirmed by dual luciferase assay. Furthermore, POU3F2 expression was negatively connected with the expression of miR-490-3p and positively associated with BCYRN1 expression. Whilst, either overexpression of miR-490-3p or knockdown of POU3F2 could remarkably inhibit the increasing trends of proliferation, clone formation, invasion, and migration abilities induced by BCYRN1 in HCC cells. CONCLUSIONS: BCYRN1, served as a competing endogenous RNA, up-regulated the expression of POU3F2 to promote the development of HCC through sponging miR-490-3p, supplying novel molecular targets and underlying prognostic biomarkers for HCC therapy.

Circular RNA circ_C16orf62 Suppresses Cell Growth in Gastric Cancer by miR-421/Tubulin beta-2A Chain (TUBB2A) Axis.

BACKGROUND Gastric cancer (GC) is the third leading cause of cancer-associated mortality in the world. Expression of circular RNA circ_C16orf62 is reported to be low in GC. The role and mechanism of circ_C16orf62 remain unclear. MATERIAL AND METHODS Expression levels of circ_C16orf62 and tubulin beta-2A chain (TUBB2A) in GC tissues and cells, and microRNA-421 (miR-421) level in GC cells were detected by real-time quantitative polymerase chain reaction (RT-qPCR). The predominant cytoplasmic localization of circ_C16orf62 was identified by subcellular fractionation. The protein level of TUBB2A was detected by western blot assay. Cell proliferative ability, migration, and invasion were measured by 3-(4, 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2-H-tetrazolium bromide (MTT), colony formation, and several transwell assaysy. The binding relationship between miR-421 and circ_C16orf62 or TUBB2A was predicted by starBase3.0 or Targetscan, and then verified by the dual-luciferase reporter assay. The biological role ofcirc_C16orf62 was examined by xenograft tumor model in vivo. RESULTS Circ_C16orf62 andTUBB2A were downregulated in GC tissues and cells. Circ_C16orf62 was predominantly located in the cytoplasm of GC cells, and repressed proliferation, migration, and invasion of GC cells. Mechanistically, circ_C16orf62 worked as the miR-421 sponge to upregulate TUBB2A in GC, thereby hindering GC growth. Circ_C16orf62 repressed GC tumor growth in vivo. CONCLUSIONS These findings demonstrate that circ_C16orf62 impeded proliferation, migration, and invasion in vitro and retarded tumor growth in vivo by the miR-421/TUBB2A axis in GC, providing a potential therapeutic strategy for patients with GC.

Up-regulation of collagen type V alpha 2 (COL5A2) promotes malignant phenotypes in gastric cancer cell via inducing epithelial-mesenchymal transition (EMT).

Recent studies have reported that collagen type V alpha 2 (COL5A2) is a hub gene and associated with the prognosis of gastric cancer (GC) patients, playing an important role in GC. In this study, we aim to fathom out the biological roles of COL5A2 and its relevant mechanism in GC. Oncomine, gene expression profiling interactive analysis, and UALCAN were used to explore the effects of COL5A2 on GC. Cell counting kit-8 assay, colony formation assay, and transwell assay were conducted to investigate the biological behaviors of GC cell lines AGS and SGC-7901. Quantitative reverse transcription polymerase chain reaction and western blot were performed to determine gene and protein expressions. COL5A2 expression was up-regulated and negatively correlated with survival percentage of GC patients. COL5A2 expression was notably elevated in high stage and high grade of GC. Down-regulation of COL5A2 inhibited proliferation, migration, and invasion of AGS and SGC-7901 cells. COL5A2 induced epithelial-mesenchymal transition (EMT) by promoting the expressions of mesenchymal markers (SNAI1, SNAI2, TWIST, VIM, and MMP2), thereby facilitating the malignant phenotypes of GC. COL5A2 plays an oncogenic role in GC and has potential to predict the progression and prognosis of GC patients.

Optimal Path of Internet of Things Service in Supply Chain Management Based on Machine Learning Algorithms.

With the development of global economic integration, the scale of supply chain network is becoming larger and larger. The research on the benefits of supply chain network under the Internet of Things technology is a new interdisciplinary research issue. Starting from the complexity and evolution of supply chain network, based on machine learning algorithms, this study analyses the service modes of the Internet of Things for supply chain enterprises, such as RFID technology, EDI technology, and enterprise resource planning ERP. Finally, by analyzing the degree of application of the Internet of Things in different industries, the manufacturing industry is selected for simulation. It is found that the introduction of the Internet of Things is conducive to speeding up the evolution of enterprise supply chain. Thus, the horizontal integration of the optimized path supply chain can effectively improve the overall profits of enterprises and provide theoretical support for the Internet of Things service supply chain.

Research on Intelligent Warehousing and Logistics Management System of Electronic Market Based on Machine Learning.

This study applies the Internet of things information-aware technology to the process of electronic market warehousing and logistics management, effectively perceives warehouse electronic product logistics information, and improves the real-time perception of electronic product logistics information and the efficiency of electronic product storage logistics management. This study first analyzes the needs of the intelligent electronic market warehouse logistics management system and then builds the IoT architecture of the intelligent warehouse logistics assembly logistics management system for electronic warehouses based on machine learning algorithms, which solves the problems that exist in the current workshop electronic market warehouse logistics management. Then, the principle of RFID technology is introduced. The accuracy of RFID tag estimation is analyzed by the PEPC tag estimation algorithm. It is concluded that the PEPC tag estimation algorithm reduces the tag estimation error and improves the accuracy of tag estimation. Finally, an intelligent warehousing logistics management system based on IoT RFID technology is established. The test results show that the system can meet the requirements of intelligent warehousing function in the electronic market, which will greatly improve the warehousing efficiency of electronic products.

Downregulating microRNA-144 mediates a metabolic shift in lung cancer cells by regulating GLUT1 expression.

Lung cancer is the leading cause of cancer-associated mortality worldwide. Increasing evidence has found that cancer metabolism alternations represent a critical hallmark for lung cancer. There is an urgent requirement to understand and dissect the molecular mechanisms underlying cancer metabolism for lung cancer therapy. It remains largely unknown whether the deregulation of miRNAs contributes to the cancer metabolism. The present study aimed to investigate the role of miR-144 in lung cancer. Glucose uptake rate and lactate production assays demonstrated that miR-144 expression is decreased and therefore enhances the aerobic metabolism in lung cancer cells. In addition, western blot analysis revealed that miR-144 performs this function by increasing the expression of glucose transporter 1 (GLUT1), leading to an increase in glucose uptake and lactate production. Furthermore, cell viability assays demonstrated that the altered metabolism induced by miR-144 results in the rapid growth of cancer cells. In conclusion, these results identify miR-144 as a molecular switch involved in the orchestration of the Warburg effect in lung cancer cells via targeting the expression of GLUT1.

Long non-coding RNA-H19 antagonism protects against renal fibrosis.

Although long non-coding RNAs (lncRNAs) are important players in the initiation and progression of many pathological processes, the role of lncRNAs in renal fibrosis still remains unclear. We showed that lncRNA-H19 expression was significantly up-regulated in TGF-ß2-induced HK-2 cell fibrosis and unilateral ureteral obstruction (UUO)-induced renal fibrosis in vivo. H19 knockdown significantly attenuated renal fibrosis in vitro and in vivo. LncRNA-H19, miR-17, and fibronectin constituted to a regulatory network involved in renal fibrosis. We also detected up-regulated H19 expression and down-regulated miR-17 expression in the early and advanced animal models of renal fibrosis. This study indicates that H19 up-regulation contributes to renal fibrosis. H19 inhibition might represent a novel anti-fibrotic treatment in renal diseases.