Background: Cholangiocarcinoma (CCA) is a serious malignant tumor. Long non-coding RNA NNT-AS1 (NNT-AS1) takes crucial roles in several tumors. So, we planned to research the roles and underlying mechanism of NNT-AS1 in CCA. Results: NNT-AS1 overexpression was appeared in CCA tissues and cell lines. Proliferation was promoted by NNT-AS1 overexpression in CCLP1 and TFK1 cells. Besides, NNT-AS1 overexpression reduced E-cadherin level and raised levels of N-cadherin, vimentin, Snail and Slug. However, the opposite trend was occurred by NNT-AS1 knockdown. Further, NNT-AS1 overexpression promoted phosphatidylinositol 3 kinase (PI3K)/AKT and extracellular signal-regulated kinase (ERK)1/2 pathways. MiR-203 was sponged by NNT-AS1 and miR-203 mimic reversed the above promoting effects of NNT-AS1. Additionally, insulin-like growth factor type 1 receptor (IGF1R) and zinc finger E-box binding homeobox 1 (ZEB1) were two potential targets of miR-203. Conclusion: NNT-AS1 promoted proliferation, EMT and PI3K/AKT and ERK1/2 pathways in CCLP1 and TFK1 cells through down-regulating miR-203. Methods: CCLP1 and TFK1 cells were co-transfected with pcDNA-NNT-AS1 and miR-203 mimic. Bromodeoxyuridine (BrdU), flow cytometry, quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blot were employed to detect roles and mechanism of NNT-AS1. Interaction between NNT-AS1 and miR-203 or miR-203 and target genes was examined through luciferase activity experiment.
LncRNA is reported to have important role in diabetic nephropathy (DN). Here, we aim to identify key lncRNAs of DN using bioinformatics and systems biological methods. Method: Five microarray data sets from Gene Expression Omnibus (GEO) database were included. Probe sets were re-annotated. In the training set, differential expressed genes (DEGs) were identified. Weighted gene co-expression network analysis (WGCNA) was constructed to screen diabetic-related hub genes and reveal their potential biological function. Two more human data sets and mouse data sets were used as validation sets. Results: A total of 424 DEGs, including 10 lncRNAs, were filtered in the training data set. WGCNA and enrichment analysis of hub genes showed that inflammation and metabolic disorders are prominent in DN. Three key lncRNAs (NR_130134.1, NR_029395.1 and NR_038335.1) were identified. These lncRNAs are also differently expressed in another two human data sets. Functional enrichment of the mouse data sets showed consistent changes with that in human, indicating similar changes in gene expression pattern of DN and confirmed confidence of our analysis. Human podocytes and mesangial cells were culture
in vitro
. QPCR and fluorescence
in situ
hybridization were taken out to validate the expression and relationship of key lncRNAs and their related mRNAs. Results were also consistent with our analysis. Conclusions: Inflammation and metabolic disorders are prominent in DN. We identify three lncRNAs that are involved in these processes possibly by interacting with co-expressed mRNAs.
The aim of this study was to investigate the effect of low molecular weight heparin (LMWH) against breast cancer cell invasion and metastasis in C3H mice and the underlying mechanism. The C3H mouse breast cancer model was established, and the mice were then randomly divided into four groups: normal saline group, LMWH group, Adriamycin positive control group and the combination group (LMWH combined with Adriamycin). Twelve days after inoculation, drug treatment was initiated. During the one-month period of drug administration, tumor growth curves were recorded. At the end of the treatment period, the mice were sacrificed and the solid tumor tissue and lung were removed. Hematoxylin and eosin (H&E) staining was used to observe the overall changes in tumor cell morphology and lung metastasis following the treatment. A terminal-deoxynucleotidyl transferase-mediated nick end labeling (TUNEL) assay was used for detection of apoptosis in tumor cells, and immunohistochemical (IHC) analysis was used to determine the expression of vascular endothelial growth factor (VEGF). The tumor growth curves demonstrated that the overall growth of the combination group was less compared with that of the other three groups, indicating that LMWH inhibited the growth of the tumors. H&E staining showed that the area of tumor cell necrosis in the combination group was significantly greater compared with that in the other groups, and less metastasis was observed in the lung. The results from the TUNEL staining demonstrated that there was an increase in the number of blue-black apoptotic cells, and the expression of VEGF was significantly reduced in the combination group compared with the other three groups. Therefore, this indicates that LMWH, combined with Adriamycin significantly reduced the growth of breast cancer cells in C3H mice. The results suggest that the mechanism may be associated with breast cancer cell apoptosis and inhibition of VEGF expression.
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