ObjectiveTo investigate expression and clinical significance of long chain noncoding RNA POU6F2-AS2 in human gastric cancer tissues.MethodsSeventy-three pairs of human gastric cancer and matched paracancerous tissues from May 2017 to May 2018 in the Affiliated Hospital of North Sichuan Medical College were collected. The real-time fluorescence quantitative polymerase chain reaction was used to detect the expression level of POU6F2-AS2 in the gastric cancer tissue and its paracancerous tissue. The correlations between its expression level and clinicalpathologic features of patients were analyzed by the chi-square text. The relationship between the expression of POU6F2-AS2 and the overall survival rate of patient with gastric cancer was analyzed by the Kaplan Meier Plotter database data.ResultsThe relative expression of POU6F2-AS2 in the gastric cancer tissues was significantly higher than that in the corresponding adjacent tissues (P<0.050). The patients were divided into the high expression (43 cases) and low expression group (30 cases) according to the expression level of POU6F2-AS2 in the gastric cancer tissues and their corresponding adjacent tissues. The results of the relationship between the expression of POU6F2-AS2 and the clinicopathologic characteristics of patients with gastric cancer showed that the POU6F2-AS2 expression was significantly correlated with the depth of invasion (P=0.022) or the TNM stage (P=0.032). There were no significant differences in the gender, age, smoking history, drinking history, tumor diameter, degree of differentiation, lymph node metastasis, distant metastasis, vascular invasion, nerve invasion, liver metastasis, ascites, and fat nodule metastasis (P>0.050). The overall survival rate of high expression of POU6F2-AS2 in the patient with gastric cancer was significantly worse than that of the low expression of POU6F2-AS2 by the Kaplan Meier Plotter database.ConclusionsHigh expression of POU6F2-AS2 is related to depth of tumor invasion and TNM stage, which indicates that POU6F2-AS2 might play an important role in regulating occurrence and development of gastric cancer. It may be used as an important target for gene diagnosis and treatment of gastric cancer and as a biomarker for evaluating prognosis of patients with gastric cancer.
ObjectiveTo summarize the recent advances in the relationship between long non-coding RNA (LncRNA) and tumor autophagy, autophagy and drug resistance regulation.MethodsReviewed the relevant literatures at home and abroad, and reviewed the recent research progress of LncRNA regulation of autophagy to affect tumor resistance.ResultsDrug resistance was a common problem in the process of anti-tumor therapy. Autophagy played an important role in the process of tumor resistance as an important mechanism to maintain cell homeostasis. Abnormal regulation of LncRNA could contribute to the occurrence and development of tumors, and could also mediate the resistance of tumor cells to anti-tumor drugs by promoting or inhibiting autophagy.ConclusionsLncRNA can mediate tumor autophagy in a positive or negative direction, and autophagy is a " double-edged sword” for tumor resistance. LncRNA may improve tumor resistance to drugs by regulating autophagy.
ObjectiveTo investigate the regulatory effect of long chain non-coding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) adsorbing microRNA-124 (miR-124) on osteogenic differentiation of mesenchymal stem cells (MSCs).MethodsC3H10T1/2 cells derived from mouse embryos were cultured in vitro, then randomly divided into control group (group A), lncRNA MALAT1 no-load plasmid group (group B), lncRNA MALAT1 overexpression plasmid group (group C), lncRNA MALAT1 small interfering RNA (siRNA) group (group D), and lncRNA MALAT1 siRNA negative control group (group E). The cells were transfected into plasmids and siRNA, then induced to differentiate into osteoblasts. Alkaline phosphatase (ALP) and alizarin red staining were used to detect the osteogenic differentiation of cells in each group, real-time fluorescence quantitative (qRT-PCR) analysis was used to detect the expressions of lncRNA MALAT, miR-124, and osteogenesis-related genes such as Runt-related transcription factor 2 (Runx2), osteopontin (OPN), and osteocalcin (OCN) in each group. Double luciferase reporter gene was used to detect the targeting regulation of lncRNA MALAT1 to miR-124.ResultsThe relative contents of ALP positive cells, mineralized nodule, and the relative mRNA expressions of lncRNA MALAT1, Runx2, OPN, and OCN in group C were significantly higher than those in other groups (P<0.05), while in group D significantly lower than in other groups (P<0.05); the relative expression of miR-124 in group C was significantly lower than that in other groups(P<0.05), while in group D significantly higher than in other groups (P<0.05). There was no significant difference in these indexes between groups A, B, and E (P>0.05). The results of double luciferase reporter gene assay showed that lncRNA MALAT1 targeting down-regulated the expression of miR-124.ConclusionLncRNA MALAT1 can targeting down-regulate the expression of miR-124 and promote the osteogenic differentiation of MSCs.
ObjectiveTo investigate the level of serum long non-coding RNA antisense non-coding RNA INK4 locus (LncRNA ANRIL) in patients with ulcerative colitis (UC), and to analyze the diagnostic value of serum LncRNA ANRIL level in UC. MethodsA total of 143 UC patients admitted to the First Affiliated Hospital of Henan University of Science and Technology from February 2015 to November 2019 were retrospectively analyzed, and 145 healthy people with normal physical examination in the First Affiliated Hospital of Henan University of Science and Technology were selected as the control group. The relationship between serum LncRNA ANRIL level and PCT/IL-17 level was analyzed, the serum levels of LncRNA ANRIL, PCT, and IL-17 were compared between the two groups, and their diagnostic value for UC was explored.ResultsThe disease degree of 143 UC patients: 41 cases were mild, 59 cases were moderate, and 43 cases were severe; endoscopic grade: 38 cases were grade Ⅰ, 65 cases were grade Ⅱ, and 40 cases were grade Ⅲ. Compared with the control group, the serum levels of LncRNA ANRIL, PCT, and IL-17 were increased in the UC group (P<0.05); the levels of serum LncRNA ANRIL, PCT, and IL-17 in the UC group increased gradually with the increase of disease severity and endoscopic grade (P<0.05). The serum levels of LncRNA ANRIL were positively correlated with the levels of PCT and IL-17 in the UC patients (r=0.596, P<0.001; r=0.492, P<0.001). The area under the curve (AUC) of serum LncRNA ANRIL level in the diagnosis of UC was 0.851, the cut-off value was 1.29, the sensitivity and specificity were 75.5% and 83.4%, respectively. The AUC of serum LncRNA ANRIL combined with PCT in the diagnosis of UC was 0.898, the corresponding sensitivity and specificity were 81.8% and 87.6%, respectively. The sensitivity and diagnostic value of combination of LncRNA ANRIL and PCT were higher than that of serum LncRNA ANRIL alone (Z=2.102, P=0.036). ConclusionsThe serum level of LncRNA ANRIL in UC patients is increased, which has a certain diagnostic value, and it combines with PCT can better predict UC.
To evaluate the differential expression profiles of the lncRNAs, miRNAs, mRNAs and ceRNAs, and their implication in the prognosis in clear cell renal cell carcinoma (CCRCC), the large sample genomics analysis technologies were used in this study. The RNA and miRNA sequencing data of CCRCC were obtained from The Cancer Genome Atlas (TCGA) database, and R software was used for gene expression analysis and survival analysis. Cytoscape software was used to construct the ceRNA network. The results showed that a total of 1 570 lncRNAs, 54 miRNAs, and 17 mRNAs were differentially expressed in CCRCC, and most of their expression levels were up-regulated (false discovery rate < 0.01 and absolute log fold change > 2). The ceRNA regulatory network showed the interaction between 89 differentially expressed lncRNAs and 9 differentially expressed miRNAs. Further survival analysis revealed that 38 lncRNAs (including COL18A1-AS1, TCL6, LINC00475, UCA1, WT1-AS, HOTTIP, PVT1, etc.) and 2 miRNAs (including miR-21 and miR-155) were correlated with the overall survival time of CCRCC (P < 0.05). Together, this study provided us several new evidences for the targeted therapy and prognosis assessment of CCRCC.
ObjectiveTo investigate the expression of growth arrest-specific 5 (GAS5) mRNA and its clinical significance in hepatocellular carcinoma.MethodsThe expression of GAS5 mRNA in the hepatocellular carcinoma tissues and corresponding adjacent tissues were detected by real time-PCR. The relationship between the expression of GAS5 mRNA and clinicopathological characteristics were analyzed by SPSS 19.0 software.ResultsThe expression of GAS5 mRNA in hepatocellular carcinoma tissues was significantly lower than that of the adjacent tissues (P<0.01). The expression of GAS5 mRNA was related to tumor size, tumor number, lymph node metastasis, clinical TNM stage, alpha fetoprotein level, and tumor differentiation (P<0.05). Cox hazard model results showed that low expression of GAS5 mRNA was associated with poor prognosis (P<0.05).ConclusionGAS5 mRNA is expected to be a diagnostic and prognostic marker for patients with hepatocellular carcinoma.
ObjectiveTo summarize the research progress of long non-coding RNA (lncRNA) in the regulation of malignant biological behavior of gallbladder cancer so as to provide references for its related research.MethodThe relevant literatures about studies of lncRNA in gallbladder cancer in recent years were reviewed.ResultsThe recent studies had shown that 19 lncRNAs associated with gallbladder cancer had played the important roles in regulating tumor cell proliferation, migration, invasion, apoptosis, “sponge” miRNAs, chemoresistance, and tumor metastasis. Among them, most lncRNAs tended to have carcinogenic properties, only a few had anticarcinogenic effect. Although the research suggested the mechanism and role of lncRNA to promote or inhibit the occurrence and development of gallbladder cancer, the current research on its mechanism was still limited. In addition, some lncRNAs were found to be specifically expressed in the serum of patients with gallbladder cancer, so which were expected to become biomarkers for tumor diagnosis and prognosis.ConclusionslncRNAs associated with gallbladder cancer have carcinogenic or anticarcinogenic effect, or chemoresistance. They play potential roles in diagnosis, prognosis, and (or) treatment of tumors, but molecular mechanisms of their effects are still limited.
Objective To explore relationship between long non-coding RNA maternally expressed gene 3 (MEG3) polymorphisms and risk of gastric cancer. Methods One hundred and seventy-two Han patients with gastric cancer (gastric cancer group) and 224 Han individuals for physical examination (control group) in the Yunnan Cancer Hospital from March 2013 to October 2017 were selected as subjects. The rs7158663 and rs4081134 polymorphisms of the MEG3 were genotyped by using a TaqMan technique. The associations between the 2 polymorphisms and the risk of the gastric cancer and its clinical features were analyzed using the SPSS software. Results The frequencies of the AG+AA genotype and the A allele of the MEG3 rs7158663 in the gastric cancer group were significantly higher than those in the control group using the GG genotype and G allele as a reference respectively ［adjusted OR=1.71, 95%CI (1.14, 2.56), P=0.010; adjusted OR=1.58, 95%CI (1.15, 2.19), P=0.005］ after the Chi-square test and the adjustment of age and gender. The frequencies of the AG+AA genotype and the A allele of the MEG3 rs4081134 had no significant differences between the gastric cancer group and the control group (P>0.017). Moreover, the polymorphisms of the MEG3 rs7158663 and rs4081134 were not associated with the clinical features of the gastric cancer (P>0.017). Conclusion MEG3 rs7158663 AG+AA genotype might be one of susceptibility gene of gastric cancer in Chinese Han population.
ObjectiveTo understand the function of long non-coding RNA (lncRNA) colon cancer associated transcript-1 (CCAT1) and summarize its relationship with gastric cancer.MethodThe published literatures on the studies of lncRNA CCAT1 function and its relationship with gastric cancer were reviewed and analyzed.ResultsThe lncRNA CCAT1 exerted the negative regulation on the genes by binding to microRNAs (miR) as a competitive endogenous RNA, mediating chromatin circulation between the c-MYC promoter and its upstream enhancer, and promoted the expression of c-MYC gene. The recent studies had found that the CCAT1 could bind to the miR-219-1 and miR-490, thereby promoting the progress of gastric cancer. The expression of lncRNA CCAT1 in the gastric cancer tissues increased, which was obviously different from that in the paracancer tissues and normal tissues. The high expression of lncRNA CCAT1 was related to the tumor size, lymphatic metastasis and TNM stage.ConclusionsThe specific mechanism, intracellular signal transduction pathway and interaction mechanism between CCAT1 and other molecules involved in the progress of gastric cancer still need to be further explored. With the in-depth study of lncRNA, especially CCAT1, it may provide a broader prospect for the diagnosis and treatment of gastric cancer as a target of CCAT1.
ObjectiveCombined with long non-coding RNA (lncRNA) to find a regression model that can be used to predict the survival rate of patients with colon cancer before operation.MethodsThe clinical information and gene expression information of patients with colon cancer were downloaded by using TCGA database. The differentially expressed lncRNAs in tumor and paracancerous tissues were screened out, and then combined with the clinical information of patients to construct Cox proportional hazard regression model.ResultsA total of 26 kinds of lncRNAs with statistical difference in gene expression between paracancerous tissues and tumor tissues were selected (P<0.05). Through repeated screening and comparison of prediction efficiency, the prediction model was finally selected, which was constructed by patients’ age, M stage, N stage, and three kinds of lncRNAs (ZFAS1, SNHG25, and SNHG7) gene expression level: age [HR=4.00, 95%CI: (1.48, 10.84), P=0.006], M stage [HR=3.96, 95%CI: (2.23, 7.04), P<0.001], N stage [HR=1.87, 95%CI: (1.24, 2.84), P=0.003], ZFAS1 gene expression level [HR=0.60, 95%CI: (0.41, 0.86), P=0.006], SNHG25 gene expression level [HR=0.85, 95%CI: (0.73, 1.00), P=0.045], and SNHG7 gene expression level [HR=2.32, 95%CI: (1.53, 3.52), P<0.001] were all independent risk factors for postoperative survival of patients with colon cancer. The area under the ROC curves for predicting 1, 3, and 5-year overall survival were 0.802, 0.828, and 0.771, respectiely, which had a good prediction ability.ConclusionThe predictive model constructed by the combination of ZFAS1, SNHG25, SNHG7 genes expression level with M stage, N stage, and age can better predict the overall survival rate of patients before operation, which can effectively guide clinical decision-making and choose the most suitable treatment method for patients.