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ObjectiveTo investigate the mechanism of Biejiajian Wan in the intervention of primary liver cancer based on long non-coding RNA SNHG5 （lncRNA SNHG5）/micro RNA-26a-5p （miRNA-26a-5p）/glycogen synthase kinase-3β （GSK-3β） signal axis. MethodDouble luciferase reporting assay was used to verify the targeted interaction between lncRNA SNHG5 and miRNA-26a-5p， miRNA-26a-5p， and GSK-3β in HepG2 cells. Nude-mouse transplanted tumor model of human HepG2 were established and randomly divided into model group， Biejiajian Wan low-dose group （0.5 g·kg-1）， medium-dose group （1.0 g·kg-1）， and high-dose group （2.0 g·kg-1）， and sorafenib group （100 mg·kg-1）， with 10 mice in each group. The mice were given intragastric administration of normal saline or drug for 28 days， and the tumor volume was measured at different time. Hematoxylin-eosin （HE） staining was used to observe the histological changes of tumors. The nucleic acid levels of lncRNA SNHG5， miRNA-26a-5p， GSK-3β， and β-catenin mPNA in tumor tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of GSK-3β and β-catenin in tumor tissue were detected by western blot. ResultCompared with the SNHG5-WT （wild type） + miRNA NC （negative control） group， the relative luciferase activities of the SNHG5-WT + miRNA-26a-5p mimic group were decreased （P<0.05）. Compared with the GSK-3β-WT + miRNA NC group， the relative luciferase activity of the GSK-3β-WT + miRNA-26a-5p mimic group was decreased （P<0.05）. Compared with the model group， the tumor volume of Biejiajian Wan low-dose， medium-dose， and high-dose groups was significantly decreased （P<0.05， P<0.01）. Compared with the model group， the cells in the tumor tissue of nude mice in each dose group of Biejiajian Wan were sparsely arranged with necrocytosis， which showed concentration-dependent changes. Compared with the model group， the expression levels of lncRNA SNHG5， GSK-3β， and β-catenin were decreased （P<0.05， P<0.01）， while the expression of miRNA-26a-5p was increased in each dose group of Biejiajian Wan （P<0.05， P<0.01）. Compared with the model group， the protein expression levels of GSK-3β and β-catenin were decreased in each dose group of Biejiajian Wan （P<0.05， P<0.01）. ConclusionBiejiajian Wan may affect the necrosis of liver cancer cells through lncRNA SNHG5/miRNA-26a-5p/GSK-3β signal axis and thus play an anti-tumor role. This research will provide more theoretical basis for the clinical application of Biejiajian Wan.
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Objective To analyze the core genes of lung ischemia-reperfusion injury and construct a competitive endogenous RNA (ceRNA) network. Methods Original data of GSE145989 were downloaded from the Gene Expression Omnibus (GEO) database as the training set, and the GSE172222 and GSE9634 datasets were used as the validation sets, and the differentially-expressed genes (DEG) were identified. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. Protein-protein interaction (PPI) network was constructed, and the core genes were screened, and the diagnostic values of these core genes and the immune infiltration levels of immune cells were evaluated. The ceRNA network was constructed and validated. The targeted drugs based on ceRNA network were assessed. Results A total of 179 DEG were identified, including 61 down-regulated and 118 up-regulated genes. GO analysis showed that DEGs were associated with multiple biological processes, such as cell migration, differentiation and regulation, etc. They were correlated with cell components, such as vesicle membrane, serosa and membrane raft, etc. They were also associated with multiple molecular functions, such as chemokine receptor, G protein-coupled receptor, immune receptor activity and antigen binding, etc. KEGG pathway enrichment analysis revealed that DEG were involved in tumor necrosis factor (TNF), Wnt, interleukin (IL)-17 and nuclear factor (NF)-κB signaling pathways, etc. PPI network suggested that CD8A, IL2RG, STAT1, CD3G and SYK were the core genes of lung ischemia-reperfusion injury. The ceRNA network prompted that miR-146a-3p, miR-28-5p and miR-593-3p were related to the expression level of CD3G. The miR-149-3p, miR-342-5p, miR-873-5p and miR-491-5p were correlated with the expression level of IL-2RG. The miR-194-3p, miR-512-3p, miR-377-3p and miR-590-3p were associated with the expression level of SYK. The miR-590-3p and miR-875-3p were related to the expression level of CD8A. The miR-143-5p, miR-1231, miR-590-3p and miR-875-3p were associated with the expression level of STAT1. There were 13 targeted drugs for CD3G, 4 targeted drugs for IL-2RG, 28 targeted drugs for SYK and 3 targeted drugs for lncRNA MUC2. No targeted drugs were identified for CD8A, STAT1 and other ceRNA network genes. Conclusions CD8A, IL2RG, STAT1, CD3G and SYK are the core genes of lung ischemia-reperfusion injury. The research and analysis of these core genes probably contribute to the diagnosis of lung ischemia-reperfusion injury and providing novel research ideas and therapeutic targets.
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Objective:To investigate the regulatory role of defferentially expressed LOC107987438 in the pathogenesis of depressive disorder and provide a theoretical basis for its clinical application in depressive disorder.Methods:Differential expression of LOC107987438 was verified by quantitative real-time polymerase chain reaction(qRT-PCR)in peripheral blood monocular cells(PBMCs)of 60 patients with depressive disorder and 60 health controls. In addition, its diagnostic value was assessed by receiver operating characteristic(ROC)curves. Based on the ceRNA mechanism of lncRNA, the miRDB database was applied to predict the target miRNAs of LOC107987438, and the miRNAs with target score ≥ 80 among them were screened out.The screened miRNAs were then used to predict their potential target mRNAs through four databases which were TargetScan 8.0, miRTarBase, mirDIP and miRPathDB. Moreover, the predicted target mRNAs were annotated for gene ontology(GO)function annotation and tokoyo encyclopedia of genes and genomes(KEGG) pathway enrichment analysis via ClusterProfiler 4.0.5 package of R 4.1.1. Finally, a protein-protein interaction network was constructed using the STRING 11.5 platform to retrieve the interacting genes.Results:The qRT-PCR results showed that normalized expression of LOC107987438 in PBMCs of patients with depressive disorder was higher than that in health controls(depressive disorder: 2.084±1.357, health controls: 1.000±0.660, P<0.001). The ROC curve results showed that the area under curves(AUC)of LOC107987438 was 0.759(95% CI: 0.675-0.842, P<0.05), indicating its high potential diagnostic value. Bioinformatics analysis showed that hsa-miR-4670-3p, hsa-miR-619-3p, hsa-miR-6721-5p and hsa-miR-297 were the miRNAs with high bindings to LOC107987438. The results of KEGG signaling pathway enrichment revealed that hypoxia-inducible factor 1(HIF-1)signaling pathway, phosphatidylinositol 3-kinase-AKT(PI3K-Akt) signaling pathway and erythroblastic oncogene B(ErbB) signaling pathway were closely associated with depressive disorder. Among the top ten key genes screened by the protein-protein interaction network, kirsten rats arcomaviral oncogene homolog(KRAS), androgen receptor(AR), cyclic-AMP response binding protein1(CREB1), insulin-like growth factor 1(IGF1), cyclin-dependent kinase inhibitor 1B(CDKN1B) and calcium/calmodulin-dependent protein kinase type Ⅱ alpha(CAMK2A)were strongly associated with depressive disorder. Conclusion:The establishment of ceRNA regulatory network of LOC107987438 provides a theoretical basis for exploring the pathophysiology of depressive disorders.
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Objective:To investigate the relationship between n7-methylguanosine (m7G) related long non-coding RNA (lncRNA) expression and glioma prognosis, and to construct a prognosis model with m7G-related lncRNA in patients with glioma.Methods:Data related to the test set and validation set were downloaded from the Cancer and Tumor Genome Atlas (TCGA) database and the China Glioma Genome Atlas (CGGA) database. LASSO regression and random forest algorithm were used to establish the glioma prognosis model with m7G related lncRNA. Individualized risk scores were calculated using the weighted expression levels of the 12 extracted lncRNA coefficients, and test set and validation set glioma patients were categorized into high and low risk groups based on median risk score. Kaplan-Meier survival curve was drawn, the comparison method used log rank test. The efficacy of risk score in predicting the 1-, 2- and 5-year survival rate in patients with glioma was evaluated using the receiver operating characteristics (ROC) curve.Results:A total of 12 lncRNA associated with m7G were obtained, with a risk score = 1.026 × AC002454.1 + 1.086 × AC131097.4 + 1.039 × AC147651.3 + 1.01 × AGAP2-AS1 + 1.036 × CRNDE + 0.733 × GDNF-AS1 + 1.321 × HOXD-AS2 + 0.934 × LINC00641 + 1.183 × PAXIP1-AS2 + 1.258 × PVT1 + 0.909 × SOX21-AS1 + 0.754 × TTC28-AS1, with a median risk score of - 0.45 scores. Kaplan-Meier survival curve analysis result showed that the median survival time in high risk group was significantly shorter than that in low risk group (1.98 years vs. 9.51 years, log-rank χ2 = 131.78, P<0.01). ROC curve analysis result showed that the area under the curve (AUC) of risk score in predicting the 1-, 2- and 5-year survival rate in patients with glioma was 0.891, 0.923 and 0.912. In the validation set of glioma patients, Kaplan-Meier survival curve analysis result showed that the median survival time in high risk group was significantly shorter than that in low risk group (1.29 years vs. 6.88 years, log-rank χ2 = 103.27, P<0.01); ROC curve analysis result showed that the AUC of risk score in predicting the 1-, 2- and 5-year survival rate in patients with glioma was 0.724, 0.795 and 0.762. In the test set and validation set, multivariate Cox regression analysis result showed that the risk score was the independent risk factors of prognosis in patients with glioma ( HR = 1.992 and 1.247, P<0.01 or <0.05). Conclusions:A risk score model with m7G related lncRNA based on transcriptome is a novel approach to predict the prognosis of glioma patients.
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Objective:To explore the prognostic value of ferroptosis-related long non-coding RNA (lncRNA) in esophageal cancer.Methods:Based on the Cancer Genome Atlas (TCGA), the predictive model was constructed based on the differentially expressed ferroptosis-related lncRNAs in esophageal cancer.Results:Seventeen differentially expressed ferroptosis-related lncRNAs (AC108673.2, LINC00942, CASC8, AP003696.1, LINC02154, AC092969.1, AC245100.5, AC011379.1, TMEM161B-AS1, LINC00092, LINC01977, AC107308.1, LINC00261, LINC00592, AP000553.2, HOXC-AS1, Z93403.1) related to the prognosis of esophageal cancer were identified. Kaplan-Meier analysis showed that the high-risk lncRNA feature was associated with a poor prognosis of esophageal cancer ( P<0.01). The area under the curve of the lncRNA feature was 0.861 at 1-year, 0.828 at 2-year, 0.764 at 3-year; and it showed superiority over conventional clinical pathology features in predicting the prognosis of esophageal cancer. In addition, there were significant differences in immune cells between the low-risk and high-risk groups. The immune checkpoints such as TNFSF 9, CD70 and TNFRSF 25 were also different expression between the two risk groups. Conclusions:Ferroptosis-related lncRNA signature can precisely predict the prognosis of esophageal cancer and serve as therapeutic targets for esophageal cancer.
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【Objective】 To investigate the impact of long non-coding RNA (lncRNA) FGD5-AS1 on the malignant biolo-goical behavior of bladder cancer (BC) cells by regulating micro RNA (miR)-129-5p/cyclin dependent kinase 6 (CDK6) axis. 【Methods】 Human BC cell line T24 was cultured from tumor tissue and paracancerous tissue of 105 patients with confirmed BC. The expressions of FGD5-AS1, miR-129-5p and CDK6 mRNA in tissue samples and T24 cells were detected with RT-qPCR. T24 cells were randomly divided into control group, si-NC group, si-FGD5-AS1 group, si-FGD5-AS1+inhibitor NC group and si-FGD5-AS1+miR-129-5p inhibitor group. The cell viability, migration, invasion andapoptosis were detected with CCK-8, Wound healing test, Transwell assay and flow cytometry, respectively. The expressions of Bax, Bcl-2, Caspase3 and CDK6 were detected with Western blot. The relationship between FGD5-AS1 and miR-129-5p, between miR-129-5p and CDK6 were verified with double luciferase reporter gene experiment. 【Results】 FGD5-AS1 and CDK6 mRNA were highly expressed in BC tissue, while miR-129-5p was lowly expressed (P<0.05). After FGD5-AS1 silencing, the expression of FGD5-AS1,A450 value, cell scratch healing rate, cell invasion number, and expressions of Bcl-2 and CDK6 were significantly lower, while the apoptosis rate and expressions of miR-129-5p, Bax and Caspase3 were significantly higher (P<0.05). Inhibition of miR-129-5p expression reversed the effects of FGD5-AS1 silencing on various indexes of BC cells (P<0.05). FGD5-AS1 negatively regulated the expression of miR-129-5p, and miR-129-5p negatively regulated the expression of CDK6. 【Conclusion】 Silencing FGD5-AS1 may inhibit the expression of CDK6 protein by up-regulating miR-129-5p, thus inhibiting the proliferation, migration and invasion of BC cells and promoting cell apoptosis.
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@#Objective To investigate the effects of long non-coding RNA(LncRNA) growth arrest specific transcript 5(GAS5) negatively regulating nucleophosmin 1(NPM1) on cisplatin(DDP) resistance of gastric cancer cells.Methods The normal human gastric mucosa cell line GES-1 and human gastric cancer cell lines BG3-823,MGC-803 and AGS were selected as the research objects,of which the level of LncRNA GAS5 in each cell was measured by qRT-PCR.The drug resistance of AGS cells to DDP(AGS/DDP) was induced,and the experiment was divided into control group,empty plasmid group(BC group),GAS5 nonsense interference group(pLJM-GAS5 NC group) and GAS5 overexpression group(pLJM-GAS5 group).MTT method was used to determine the effect of DDP on the proliferation of AGS and AGS/DDP cells;and the levels of NPM1,multidrug resistance 1(MDR1),excision repair cross complementation group 1(ERCC1),multidrug resistance-associated protein 1(MRP1) and N-cadherin in AGS and AGS/DDP cells were measured by Western blot.Results Compared with the normal gastric mucosa GES-1 cells,the level of LncRNA GAS5 in BG3-823 and AGS cells decreased significantly,and among them,the level of LncRNA GAS5 in AGS cells was the lowest,so AGS cells were used for the follow-up experiments.Compared with the control group,the level of LncRNA GAS5 in AGS cells of BC group and pLJM-GAS5 NC group decreased significantly,while the levels of NPM1,MDRl,ERCC1,MRP1 and N-cadherin increased significantly;compared with BC group and pLJM-GAS5 NC group,the level of LncRNA GAS5 in AGS/DDP cells of pLJM-GAS5 group increased significantly,while the levels of NPM1,MDR1,ERCC1,MRP1 and N-cadherin decreased significantly;after treatment with DDP of the same concentration(except 0 μmol/L),compared with the control group,the inhibition rate of AGS/DDP cell proliferation in BC group and pLJM-GAS5 NC group decreased significantly;compared with BC group and pLJM-GAS5 NC group,the inhibition rate of AGS/DDP cell proliferation in pLJM-GAS5group was significantly higher.The semi inhibitory concentration(IC_(50)) of DDP on AGS/DDP cells in pLJM-GAS5 group for 48 h was(65.38±5.04) μmol/L,which was significantly lower than(120.74±4.17) μmol/L and(120.24±4.29) μmol/L in BC group and pLJM-GAS5 NC group.Conclusion Up-regulating the level of LncRNA GAS5 in AGS/DDP cells can reverse the drug resistance of AGS/DDP cells,which may be related to the down-regulation of NPM1expression
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@#ObjectiveTo establish models of Dengue virus type Ⅲ（DENV-3,DV-3）infection and antibody dependent enhancement(ADE)infection at the acute monocytic leukemia cells(THP-1),investigate the differential expression of long non-coding RNAs(LncRNAs),map the competitive endogenous RNA(CeRNA)regulatory network and predict the translation function of LncRNAs.MethodsThe culture supernatant was harvested 6 d after C6/36 cells were infected with DENV-3,the virus titer was determined by CCID50,and the type and full-length genome amplification were identified by PCR;The DENV-3 standard plasmid was amplified,identified by PCR,and the standard curve was drawn;THP-1 cells were divided into negative control group(THP-1),direct infection group(DV-3),ADE group and blank control group[1640(-)]. After 48 h of infection,the total RNA was extracted and the copy number of intracellular virus nucleic acid was measured;Through the whole transcriptome sequencing technology,the CeRNA regulatory network was constructed for the top five up-regulated and down-regulated LncRNAs in THP-1 vs DENV3,THP-1 vs ADE,DENV3 vs ADE groups,and the functions of their coding proteins were analyzed.ResultsC6/36 cells infected with DENV-3 for 3 d showed obvious cell fusion,vacuoles and abscission;The virus had a titer of about 1. 0 × 104. 64PFU/mL and was identified as DENV-3 by PCR specific primers,of which the complete gene sequence was obtained;The number of viral nucleic acid copies in ADE group was significantly higher than those in DV-3 group and blank control group;In THP-1 vs DENV-3,the expression of cytohesin interacting protein(CYTIP)was predicted to be up-regulated;In THP-1 vs ADE,the expression of kinesin family5A(KIF5A)was predicted to be down-regulated;In DENV-3 vs ADE,the expression of cluster differentiation antigen 9(CD9)and insulin like growth factor 2(IGF2)was predicted to be up-regulated. All of these differential LncRNAs had open reading frames(ORFs). Except Lnc-SH3BP1 and Lnc-RPL41,all of the other LncRNAs had internal ribosome binding site(IRES).ConclusionIn DENV-3 infection of THP-1 cells and ADE infection mediated by DENV-3,the expression of LncRNAs has changed significantly,and may regulate the process of infection through a variety of biological functions,which is helpful for a deeper understanding of the mechanism of ADE infection.
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Although it is widely believed that abnormal energy metabolism exists in cancer cells and affects the biological behavior of cancers, the exact mechanism of energy metabolic reprogramming and specific mechanism of its effect on proliferation, invasion and metastasis of cancer cells have not been clarified. In recent years, studies have shown that long non-coding RNA (lncRNA) can affect energy metabolism, development and progression of cancer cells through binding to specific nucleic acids and proteins at the transcriptional and post-transcriptional stages, and specifically through transcriptional interference, epigenetic regulation of genes, changes in protein activity, competitive binding to microRNA (miRNA) and other related mechanisms. The further study on the mechanism of lncRNA regulating energy metabolism reprogramming of cancer cells is expected to find new markers and targets for diagnosis and treatment of cancer. This paper reviews the current research progress of the mechanism of lncRNA regulating metabolic reprogramming of glucose, fatty acid, protein and nucleotide in cancer, and provides a new idea of lncRNA's regulation of energy metabolism pathways for targeted anticancer therapy.
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Objective:To investigate the value of a cuproptosis-related differential long non-coding RNA (lncRNA) scoring formula related to the prognosis of clear cell renal cell carcinoma (ccRCC) patients in the clinical diagnosis, prognosis prediction and treatment options based on bioinformatics.Methods:Gene matrix and clinical data of ccRCC patients were obtained from the Cancer Genome Atlas (TCGA) database (update to 29 March, 2022). The expression data of 539 ccRCC tissues and 72 paracancerous normal tissues were collected from gene matrix; the data of 530 ccRCC were collected from clinical data. Pearson correlation analysis, Wilcoxon signed rank test and univariate Cox proportional risk model were used to analyze the screened cuproptosis-related differential lncRNA related to the prognosis. R software was used to randomly divide 530 ccRCC patients with survival data into training set (266 cases) and validation set (264 cases) according to approximate 1∶1 ratio. LASSO regression analysis was used to construct a cuproptosis-related differential lncRNA scoring formula and cross-validation was performed. Receiver operating characteristic (ROC) curve analysis was used to evaluate the specificity and sensitivity of cuproptosis-related differential lncRNA scoring formula, and the area of the curve (AUC) was calculated. According to the median risk value, all patients were divided into the low-risk group and high-risk group; Kaplan-Meier method was used to analyze the difference in the overall survival (OS) of patients in the low-risk group and high-risk group. T test was used to detect the differences in the risk value of patients with different clinicopathological characteristics. R package rms was used to construct the nomogram for predicting 1-year, 3-year, 5-year OS rates of ccRCC patients, R package pRRophetic was used to predict the half-inhibitory concentration ( IC50) of common targeted drugs such as sorafenib and sunitinib in clinical treatment of ccRCC patients, and IC50 value of patients in low-risk group and high-risk group was compared by using Wilcoxon signed rank test. Tissue samples of 20 ccRCC patients who underwent radical nephrectomy and were diagnosed with pathology and the matched paracancerous normal tissues were collected from the First Hospital of Shanxi Medical University between June 2021 and December 2021. Real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to detect the expression of key lncRNA in ccRCC tissues. Results:Based on the expression matrix of 10 cuproptosis genes (FDX1, LIAS, LIPT1, DLD, DLAT, PDHA1, PDHB, MTF1, GLS, CDKN2A) of ccRCC patients in TCGA database, 153 cuproptosis-related differential lncRNA related to the prognosis were identified. According to LASSO regression analysis, a scoring formula of 4 cuproptosis-related differential lncRNA related to the prognosis was obtained, risk value was calculated as 0.020×AC015912.3+0.011×AC026401.3+0.063×AC103706.1+(-0.076)×EPB41L4A-DT. All patients were divided into high-risk group (≥0.76) and low-risk group (<0.76) based on the median value (0.76). ROC curve analysis showed that the scoring formula had good prediction accuracy in 1-year, 3-year, 5-year OS rates. In training set, validation set, the total cohort, the OS of patients in the high-risk group was worse than that in the low-risk group (all P < 0.001). The age, pathological degree, tumor staging, risk value calculated by cuproptosis-related differential lncRNA were independent influencing factors of OS (all P < 0.001). There were statistically significant differences in the risk value calculated by cuproptosis-related differential lncRNA scoring formula among patients with different pathological degree, tumor staging, T staging, N staging, M staging (all P < 0.01), while there were no statistically significant differences among patients with different gender and age (all P > 0.05). The established nomogram had good prediction accuracy in the 1-year, 3-year, 5-year OS rates. Sunitinib and sirolimus showed higher sensitivity in the high-risk group; axitinib, sorafenib and pazopanib showed higher sensitivity in the low-risk group. qRT-PCR results showed that relative expression level of AC015912.3 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.04 vs. 0.68±0.24, t = 6.37, P < 0.01); the relative expression level of AC026401.3 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.05 vs. 0.64±0.22, t = 7.29, P < 0.01); the relative expression level of AC103706.1 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.04 vs. 0.64±0.21, t = 7.49, P < 0.01); the relative expression level of EPB41L4A-DT in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.06 vs. 0.73±0.10, t = 10.68, P < 0.01). Conclusions:Cuproptosis-related differential lncRNA scoring formula based on TCGA database can be used as a new marker for clinical diagnosis and prognosis prediction of ccRCC patients, which can help guide the clinical drug treatment of patients and facilitate accurate diagnosis and treatment.
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Objective:To investigate the effects of long non-coding RNA (lncRNA) RP11-1212A22.4 on the cell viability and invasive ability of esophageal cancer cell lines by targeting miRNA-483-5p (miR-483-5p).Methods:The expression of RP11-1212A22.4 in esophageal cancer tissues was analyzed by using GEPIA online database. Real-time quantitative polymerase chain reaction (qRT-PCR) was used to detect the expression of RP11-1212A22.4 in human esophageal cancer cell lines EC9706, KYSE30, TE-13, Eca109 and normal esophageal epithelial cell line HET-1A. The lowest expression level of EC9706 cell line in RP11-1212A22.4 was divided into RP11-1212A22.4 group (transfected with pcDNA-RP11-1212A22.4 plasmid) and the control group (transfected with pcDNA-NC plasmid). The cell viability of EC9706 cell was analyzed by using methyl thiazolyl tetrazolium (MTT) method, and the invasion ability of EC9706 cell was detected by using Transwell assay. The targeting relationship between RP11-1212A22.4 and miR-483-5p was verified by using StarBase database prediction and dual luciferase reporter assay. The relative expression level of miR-483-5p of EC9706 cell in two groups was detected by using qRT-PCR. Western blot was used to detect the expressions of cyclin-dependent kinase 6 (CDK6), matrix metalloproteinase 2 (MMP-2), cyclin-dependent kinase 4 (CDK4), and matrix metalloproteinase 9 (MMP-9) proteins in two groups.Results:In GEPIA online database, compared with adjacent tissues, the relative expression level of RP11-1212A22.4 in esophageal cancer tissues was decreased, and the difference was statistically significant ( P < 0.001). The relative expression levels of RP11-1212A22.4 in esophageal cancer cell lines EC9706, KYSE30, TE-13, Eca109 and normal esophageal mucosal epithelial cell line HET-1A were 0.11±0.08, 0.32±0.09, 0.72±0.09, 0.59±0.13 and 0.97±0.12, and the difference was statistically significant ( F = 40.42, P < 0.001). The relative expression levels of RP11-1212A22.4 in EC9706 cells of RP11-1212A22.4 group and the control group were 11.9±2.4 and 1.0±0.3, respectively, and the difference was statistically significant ( t = 8.89, P < 0.001). Compared with the control group, the cell viability of EC9706 cell in RP11-1212A22.4 group was decreased (all P < 0.05). The number of invasive cells in RP11-1212A22.4 group was lower than that in the control group (48±12 vs. 106±22, t = 4.63, P < 0.001). StarBase database prediction and dual luciferase reporter assay both showed that RP11-1212A22.4 targeted miR-483-5p. The relative expression level of miR-483-5p in RP11-1212A22.4 group was lower than that in the control group (0.24±0.11 vs. 1.02±0.23, t = 5.98, P = 0.001). Compared with the control group, the expressions of CDK6, MMP-2, CDK4 and MMP-9 proteins in the RP11-1212A22.4 group were decreased. Conclusions:RP11-1212A22.4 is lowly expressed in esophageal cancer tissues and cell lines, and it inhibits the cell viability and invasive ability of esophageal cancer cells by targeting miR-483-5p.
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Objective:To verify that hypoxia induces epithelial mesenchymal transition in HaCaT cells, and to observe the effect of LncRNA HOTAIR on epithelial mesenchymal transition in HaCaT cells.Methods:From Jan. 2018 to Dec. 2018 in Chinese Academy of Medical Science, HaCaT cells were divided into four groups: group A cultured under normoxia, group B cultured under hypoxia, group C transfected with sh-control cultured under hypoxia, and group D transfected with sh-LncRNA HOTAIR cultured under hypoxia. After 36 hours of culturing, the expression of E-cadherin and vimentin were detected using qPCR and Western blot. The migration of HaCaT cells was evaluated by Transwell assay.Results:The relative quantity of E-cadherin mRNA in the four groups were 3.076±0.271, 1.000±0.089, 1.024±0.222, and 2.595±0.085, while vimentin mRNAs were 1.002±0.183, 4.170±0.279, 4.111±0.477, and 2.412±0.134, respectively. In addition, the Transwll invasion assay showed that numbers of cell migration in the four groups were 32.70±3.93, 125.40±6.26, 120.10±6.79, and 58.24±7.06, respectively.Conclusions:The study suggests that hypoxia promotes epithelial mesenchymal transition in keratinocytes. Furthermore, downregulation of HOTAIR is noted to inhibit epithelial mesenchymal transition of keratinocytes under hypoxia condition.
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Long non-coding RNAs (lncRNA) are a class of non-coding RNA with a length of more than 200 nucleotide, it is known that lncRNA can regulate gene expression at epigenetic, transcriptional and post transcriptional levels. Recent studies have shown that lncRNA is an important regulator of atherosclerosis (AS) and plays an important role in the pathogenesis of AS. This paper aims to comprehensively explore the mechanism of lncRNA in AS and summarize new biomarkers for AS diagnosis, we focused on the research progress of some key lncRNA in regulating the function of endothelial cells, smooth muscle cells, and monocytes and macrophages through literature review. Furthermore, this review discusses the potential clinical diagnostic value of lncRNA as biomarker in coronary heart disease (CHD), acute myocardial infarction, and heart failure (HF). LncRNA is expected to become a new class of clinically relevant biomarker, which might be useful for the prediction, diagnosis, prognosis and risk stratification of AS and cardiovascular diseases.
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Objective:To screen the key exosomal long non-coding RNAs (lncRNAs) molecules that cause nasopharyngeal carcinoma cells to develop chemoradiotherapy resistance.Methods:In vitro, a model of concurrent chemoradiotherapy for human nasopharyngeal carcinoma cells was constructed, and the continuous shock method of high-dose concurrent chemoradiotherapy was used to induce the establishment of chemoradiotherapy-resistant nasopharyngeal carcinoma cell lines, and its resistance formation was verified. Exosomes produced by chemoradiotherapy-resistant cell lines and respective mother cell lines for nasopharyngeal carcinoma were extracted and identified. Finally, biochip technology was used to detect the differential expression levels of exosomal lncRNAs. Results:After 10 repeated treatments of concurrent chemoradiotherapy, CNE-1 CRR and CNE-2 CRR were successfully obtained. Compared with the mother cell lines, CNE-1 CRR and CNE-2 CRR had a tendency to transform from epithelial to interstitial morphology, and the number of cell clones was higher, and the values of average lethal dose (D 0), quasi-threshould dose (D q), survival fraction after 2 Gy irradiation (SF 2) and cell survival rate were higher. Nasopharyngeal carcinoma cells were detected by PCR chip of exosomal lncRNAs. Compared with their respective mother cell lines, 18 lncRNAs in CNE-1 CRR exosomes were significantly up-regulated and 31 lncRNAs were significantly down-regulated, and 15 lncRNAs were significantly up-regulated and 38 lncRNAs were significantly down-regulated in CNE-2 CRR exosomes. CNE-1 CRR also had similar expression profiles to CNE-2 CRR. Conclusion:There are significantly up-regulated and down-regulated lncRNAs in the exosomes of CNE-1 CRR and CNE-2 CRR.
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Long non-coding RNA (lncRNA) is a hot topic in the field of researching tumor pathogenesis, and the importance in hematologic malignancies has been gradually being elucidated. LncRNA not only regulates hematological tumorigenesis and progression through affecting various biological processes such as cell proliferation, differentiation, pluripotency and apoptosis; moreover, abnormal expression and mutation of lncRNA are closely related to drug resistance and prognosis. Thus lncRNA can be used as novel biomarker and potential therapeutic target for hematological tumors. In this review, we will focus on the latest progress of lncRNA in hematological tumors to provide new ideas for the clinical diagnosis, prognostic evaluation together with research and development of target drugs for hematologic malignancies.
Subject(s)
Humans , RNA, Long Noncoding/metabolism , Hematologic Neoplasms/genetics , Neoplasms , Carcinogenesis/pathology , Cell Transformation, Neoplastic/genetics , Gene Expression Regulation, NeoplasticABSTRACT
Long non-coding RNA (lncRNA) is not "transcriptional noise". It can regulate gene expression at pre-transcriptional, post-transcriptional and epigenetic level and participate in the occurrence and development of diseases. A large number of studies have shown that the abnormal expression of lncRNA plays an important role in the occurrence and development of acute myeloid leukemia (AML) and drug resistance. LncRNA can participate in the occurrence, development and drug resistance of AML by acting on target genes and regulating related signal pathways. Detection of its expression has a certain prognostic value. Therefore, this article briefly discusses the research progress of lncRNA in AML, hoping to provide ideas for clinical diagnosis and targeted therapy.
Subject(s)
Humans , RNA, Long Noncoding/metabolism , Leukemia, Myeloid, Acute/drug therapy , PrognosisABSTRACT
Objective @#To examine the diagnostic and prognostic value of long non-coding RNA (lncRNA) JPX in mesothelioma, so as to provide insights into diagnosis and prognosis of mesothelioma. @* Methods@# Patients with clinically definitive diagnosis of mesothelioma from 2015 to 2019 that were sampled from asbestos processing plants in Zhejiang Province from 2015 to 2019 were recruited in the mesothelioma group, while healthy residents without asbestos exposure or asbestos-related diseases in the same area served as controls. Participants' demographics, pathologic diagnosis and imaging features were collected, and the expression of blood lncRNA JPX was detected using lncRNA microarrays. The diagnostic value of lncRNA JPX for mesothelioma was evaluated using the receiver operating characteristic (ROC) curve, and the correlation between lncRNA JPX expression and prognosis was examined among mesothelioma patients using survival analysis. @* Results@# There were 17 subjects in the mesothelioma group, with a mean age of (65.71±8.36) years, and 34 subjects in the controls, with a mean age of (64.24±8.70) years. LncRNA microarray detected significantly high lncRNA JPX expression in mesothelioma patients, and higher blood lncRNA JPX expression was detected in the mesothelioma group than in the control group [median (interquartile range), 1.10 (1.31) vs. 0.89 (0.54); t'=-2.300, P=0.034]. The area under the ROC curve was 0.673 (95%CI: 0.507-0.839, P=0.046), and if the cutoff was 1.759, the sensitivity and specificity were 35.3% and 100.0%, respectively. Survival analysis showed no significant difference in the survival rate of mesothelioma patients between the high lncRNA JPX expression group and the low expression group (χ2=0.212, P=0.645). @*Conclusions@# LncRNA JPX overexpression is detected in the blood of patients with mesothelioma, and lncRNA JPX expression presents a diagnostic value for mesothelioma; however, it shows little prognostic value for mesothelioma.
ABSTRACT
Gastric cancer （GC） is one of the most common malignant tumors in the digestive system， with high morbidity and mortality. Early clinical symptoms of GC are not obvious， and most of them have entered the advanced stage after discovery， which greatly reduces the clinical cure rate and affects the quality of life of patients， and the prognosis is very poor. In recent years， with the continuous exploration in the field of bioinformatics， it has been found that micro-RNA （miRNA） and long non-coding RNA （lncRNA） exist as non-coding RNA （ncRNA） without translation ability， and regulate the expression levels of related signal proteins by acting on a certain target， thereby activating or inhibiting a certain signaling pathway， which plays an important role in assisting diagnosis， guiding clinical medication， and judging prognosis in the progress of GC. Chinese medicine is easily accepted by patients because of its good curative effect and less side effects. In the present basic studies， with the interaction mechanism between miRNA， lncRNA and signaling pathways as the breakthrough point， various studies on the regulation of related signaling molecules and signaling pathways by Chinese medicine have been carried out. A large number of experimental data have proved that the development of GC is closely related to the interaction of miRNA， lncRNA， and related signaling pathways， and Chinese medicine， with multi-target， multi-mechanism， and multi-pathway characteristics， affects various signaling molecules and signaling pathways and intervenes in the progress of GC cells. This paper reviewed the basic research on lncRNA， miRNA molecules， and main signaling pathways involved in the occurrence and development of GC， and summarized specific molecular mechanisms of Chinese medicine in the regulation of each signaling pathway， hoping to provide references for modern research of Chinese medicine in the intervention of GC progress at the molecular level.
ABSTRACT
OBJECTIVE@#To screen the differentially expressed long non-coding RNAs (lncRNAs) in non-small cell lung cancer (NSCLC) cells with acquired resistance to osimertinib and explore their roles in drug resistance of the cells.@*METHODS@#The cell lines H1975_OR and HCC827_OR with acquired osimertinib resistance were derived from their osimertinib-sensitive parental NSCLC cell lines H1975 and HCC827, respectively, and their sensitivity to osimertinib was assessed with CCK-8 assay, clone formation assay and flow cytometry. RNA sequencing (RNA-seq) and real-time quantitative PCR (qPCR) were used to screen the differentially expressed lncRNAs in osimertinib-resistant cells. The role of the identified lncRNA in osimertinib resistance was explored using CCK-8, clone formation and Transwell assays, and its subcellular localization and downstream targets were analyzed by nucleoplasmic separation, bioinformatics analysis and qPCR.@*RESULTS@#The resistance index of H1975_OR and HCC827_OR cells to osimertinib was 598.70 and 428.82, respectively (P < 0.001), and the two cell lines showed significantly increased proliferation and colony-forming abilities with decreased apoptosis (P < 0.01). RNA-seq identified 34 differentially expressed lncRNAs in osimertinib-resistant cells, and among them lnc-TMEM132D-AS1 showed the highest increase of expression after acquired osimertinib resistance (P < 0.01). Analysis of the TCGA database suggested that the level of lnc-TMEM132D-AS1 was significantly higher in NSCLC than in adjacent tissues (P < 0.001), and its high expression was associated with a poor prognosis of the patients. In osimertinib-sensitive cells, overexpression of Lnc-TMEM132D-AS1 obviously promoted cell proliferation, colony formation and migration (P < 0.05), while Lnc-TMEM132D-AS1 knockdown partially restored osimertinib sensitivity of the resistant cells (P < 0.01). Lnc-TMEM132D-AS1 was localized mainly in the cytoplasm, and bioinformatics analysis suggested that hsa-miR-766-5p was its candidate target, and their expression levels were inversely correlated. The target mRNAs of hsa-miR-766-5p were mainly enriched in the Ras signaling pathway.@*CONCLUSION@#The expression of lnc-TMEM132D-AS1 is significantly upregulated in NSCLC cells with acquired osimertinib resistance, and may serve as a potential biomarker and therapeutic target for osimertinibresistant NSCLC.
Subject(s)
Humans , Carcinoma, Non-Small-Cell Lung/metabolism , Lung Neoplasms/genetics , RNA, Long Noncoding/metabolism , Sincalide/metabolism , Cell Line, Tumor , Cell Proliferation/genetics , Cell Movement , MicroRNAs/genetics , Gene Expression Regulation, Neoplastic , Membrane Proteins/metabolismABSTRACT
Long non-coding RNAs (lncRNAs) play a significant role in maintaining tissue morphology and functions, and their precise regulatory effectiveness is closely related to expression patterns. However, the spatial expression patterns of lncRNAs in humans are poorly characterized. Here, we constructed five comprehensive transcriptomic atlases of human lncRNAs covering thousands of major tissue samples in normal and disease states. The lncRNA transcriptomes exhibited high consistency within the same tissues across resources, and even higher complexity in specialized tissues. Tissue-elevated (TE) lncRNAs were identified in each resource and robust TE lncRNAs were refined by integrative analysis. We detected 1 to 4684 robust TE lncRNAs across tissues; the highest number was in testis tissue, followed by brain tissue. Functional analyses of TE lncRNAs indicated important roles in corresponding tissue-related pathways. Moreover, we found that the expression features of robust TE lncRNAs made them be effective biomarkers to distinguish tissues; TE lncRNAs also tended to be associated with cancer, and exhibited differential expression or were correlated with patient survival. In summary, spatial classification of lncRNAs is the starting point for elucidating the function of lncRNAs in both maintenance of tissue morphology and progress of tissue-constricted diseases.