ObjectiveTo explore the differential expressed lncRNA genes associated with formation of cholesterol gallstone, and analyze the biological functions of differential expressed lncRNA through bioinformatics.MethodsA total of 24 C57BL/6 mice were randomly divided into normal control group (n=8) and lithogenic group (n=16), which were treated with chow diets and lithogenic diets respectively for 5 weeks. After 5 weeks, mice of the lithogenic group were randomly divided into model control group (n=8) and ursodeoxycholic acid treatment group (n=8). Afterwards, mice of the normal control group were still fed with chow diets, mice of the model control group were fed with lithogenic diets, mice of the ursodeoxycholic acid treatment group were fed with ursodeoxycholic acid. After 2 weeks, collected liver tissues and gallbladder bile from the three groups, and observed gallbladder gross sample and analyzed lipids component of gallbladder bile, meanwhile detected the differential expressed lncRNA and analyzed the biological functions of differential expressed lncRNA through bioinformatics, including Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) pathway analysis.ResultsWe successfully constructed the mice model of cholesterol gallstone. Total cholesterol level of gallbladder in the model control group had significantly higher than those of the normal control group and ursodeoxycholic acid treatment group (P<0.05), yet there was no significant difference between the normal control group and ursodeoxycholic acid treatment group (P=0.59). The levels of total bile acid, total bilirubin, and direct bilirubin had no significant difference among the three groups (P>0.05). There were 49 kinds of common overlapped difference lncRNA between the ursodeoxycholic acid treatment group and the model control group through differential expression analysis of lncRNA in liver tissues of the mice in three groups. GO and KEGG path analysis were performed separately by differential expressed lncRNA, and 88 kinds of GO terms and 18 kinds of pathways were significantly enriched from the model control group and the normal control group, 205 kinds of GO terms and 20 kinds of pathways were significantly enriched from the ursodeoxycholic acid treatment group and the normal control group.ConclusionsUrsodeoxycholic acid has therapeutic effect for cholesterol gallstone. Differential expressed lncRNAs play an important regulatory role in the formation of cholesterol gallstone and the prevention of gallstone formation by ursodeoxycholic acid treatment, which further lay the foundation in discussing specific mechanism regulated by lncRNA.
ObjectiveTo investigate the expression level of long non-coding RNA Down’s syndrome critical region 8 (LncRNA DSCR8) in gastric cancer and its clinical significance.MethodsEighty-six patients with gastric cancer who were hospitalized in our hospital from August 2014 to August 2015 were selected as the research object. Real-time quantitative PCR (qRT-PCR) was used to detect the expression level of LncRNA DSCR8 mRNA in gastric cancer tissues and its adjacent tissues. The relationship between the expression level of LncRNA DSCR8 mRNA and clinicopathological features of gastric cancer was analyzed. Kaplan-Meier method was used to analyze the relationship between the expression of LncRNA DSCR8 mRNA and the survival rate of patients, and multivariate Cox proportional hazards regression analysis was used to analyze the prognostic factors of gastric cancer.ResultsThe expression level of LncRNA DSCR8 mRNA in gastric cancer tissues was higher than that in the paracancerous tissues (P<0.001). The expression levels of LncRNA DSCR8 mRNA in patients with poorly differentiated, TNM Ⅲ–Ⅳ and lymph node metastasis were higher than those in patients with well/moderately differentiated, TNM Ⅰ–Ⅱ and no lymph node metastasis (P<0.05). The 1, 3 and 5-year survival rate of patients with low LncRNA DSCR8 mRNA expression (97.62%, 92.86%, 83.33%, respectively) were higher than those of patients with high LncRNA DSCR8 mRNA expression (63.64%, 38.64%, 31.82%, respectively), P<0.05. LncRNA DSCR8 mRNA and TNM stage were independent risk factors of death in patients with gastric cancer (P<0.05).ConclusionsLncRNA DSCR8 is associated with the occurrence, development and prognosis of gastric cancer. It may be an important molecular marker of tumor stage and lymph node metastasis in patients with gastric cancer.
Objective To summarize the latest research progress of tumor energy metabolism regulated by long non-coding RNA (lncRNA). Method Literatures about the recent studies on the bioenergetic metabolic mechanisms regulated by lncRNA in tumor cells were reviewed according to the results searched from PubMed database, Springer database, HighWire database, and so on. Results Aerobic glycolysis (Warburg effect) was regarded as the most important characteristics of energy metabolism in tumor cells. lncRNA could regulate many key progressions involved energy metabolism in tumor cells, such as glucose metabolism, lipid metabolism, and glutamine metabolism, resulting in accelerated uptake of glucose, decomposition of glutamine, and formation of lipid. Conclusions The functions and mechanisms of energy metabolism in tumor cells regulated by lncRNA are entirely unclear. The role of lncRNA played in cancer needs to be understood, which may contribute to new tumor biomarker detection and effective treatment strategies.
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.
ObjectiveTo investigate the effect of LOC103693069 on hypoxic apoptosis of bone marrow mesenchymal stem cells (BMSCs). Methods BMSCs from 1-week-old Sprague Dawley rat bone marrow were isolated, cultured, and passaged by the whole bone marrow adherent culture method. After identification of adipogenic, chondrogenic, and osteogenic differentiation, the 3rd generation cells were treated with hypoxia under 5%O2, 1%O2, and anaerobic conditions. After 48 hours, the cell viability, apoptosis, and apoptosis-related proteins [hypoxia inducible factor 1α (HIF-1α), Caspase-3, B cell lymphoma/leukemia 2 (Bcl-2)] expressions were detected, and normal BMSCs were used as controls. Based on the research results, the concentration group with the most obvious apoptosis was selected and used for subsequent experiments. After 48 hours of hypoxia treatment, BMSCs were taken and analyzed by gene chip and real-time fluorescence quantitative PCR (qRT-PCR) to screen the most significantly down-regulated gene and construct their high-expression, low-expression, and negative control lentiviruses; BMSCs were transfected with the different lentiviruses, respectively. After qRT-PCR detection confirmed that the transfection was successful, the BMSCs were treated with hypoxia for 48 hours to observe the cell viability and the expressions of apoptosis-related proteins. ResultsAfter cell viability, apoptosis, and apoptosis-related proteins were detected, cell apoptosis was the most significant under anaerobic conditions after 48 hours. The above indicators were significantly different from other groups (P<0.05), and this group was used for treatment conditions for subsequent experiments. Gene chip analysis showed that after 48 hours of hypoxia treatment, AC125847.1, LOC102547753, AABR07017208.2, and LOC103693069 were significantly down-regulated in BMSCs, and the expressions of LOC103693069 was the most significant down-regulation detected by qRT-PCR (P<0.05). It was selected to construct lentivirus and transfect BMSCs. Afterwards, qRT-PCR detection showed the successful transfection into the cells. After hypoxia treatment, the apoptosis rate and the expressions of apoptosis-related proteins of BMSCs overexpressed by the gene were significantly reduced (P<0.05). Conclusion LOC103693069 can relieve the hypoxic apoptosis of BMSCs.
Long non-coding RNA (lncRNA) Dnm3os plays a critical role in peritendinous fibrosis and pulmonary fibrosis, but its role in the process of cardiac fibrosis is still unclear. Therefore, we carried out study by using the myocardial fibrotic tissues obtained by thoracic aortic constriction (TAC) in an early study of our group, and the in vitro cardiac fibroblast activation model induced by transforming growth factor-β1 (TGF-β1). Quantitative real-time polymerase chain reaction (RT-qPCR), Western blot, and collagen gel contraction test were used to identify the changes of activation phenotype and the expression of Dnm3os in cardiac fibroblasts. Small interfering RNA was used to silence Dnm3os to explore its role in the activation of cardiac fibroblasts. The results showed that the expression of Dnm3os was increased significantly in myocardial fibrotic tissues and in the activated cardiac fibroblasts. And the activation of cardiac fibroblasts could be alleviated by Dnm3os silencing. Furthermore, the TGF-β1/Smad2/3 pathway was activated during the process of cardiac fibroblasts activation, while was inhibited after silencing Dnm3os. The results suggest that Dnm3os silencing may affect the process of cardiac fibroblast activation by inhibiting TGF-β1/Smad2/3 signal pathway. Therefore, interfering with the expression of lncRNA Dnm3os may be a potential target for the treatment of cardiac fibrosis.
ObjectiveTo understand the research progress of related biomarkers in early diagnosis of gastric cancer in recent years.MethodThe domestic and foregin literatures on studies of biomarkers of early diagnosis of gastric cancer in recent years were reviewed.ResultsAt present, the sensitivity and specificity of serum tumor biomarkers of gastric cancer such as CEA and CA19-9 were lower, so the molecular markers that could predict, screen, and diagnose gastric cancer in the early stage were further explored. The recent studies suggested that microRNAs, long non-coding RNAs, circular RNAs, exosome, etc. molecular markers in early diagnosis of gastric cancer had better prospects of clinilal application.ConclusionWith the continuous development of molecular biology technology, the values of microRNAs, long non-coding RNAs, circular RNAs, DNA, etc. in early diagnosis of gastric cancer would be further explored.
ObjectiveTo screen long non-coding RNAs (lncRNAs) relevant to programmed cell death (PCD) and construct a nomogram model predicting prognosis of hepatocellular carcinoma (HCC). MethodsThe HCC patients selected from The Cancer Genome Atlas (TCGA) were randomly divided into training set and validation set according to 1∶1 sampling. The lncRNAs relevant to PCD were screened by Pearson correlation analysis, and which associated with overall survival in the training set were screened by univariate Cox proportional hazards regression (abbreviation as “Cox regression”), and then multivariate Cox regression was further used to analyze the prognostic risk factors of HCC patients, and the risk score function model was constructed. According to the median risk score of HCC patients in the training set, the HCC patients in each set were assigned into a high-risk and low-risk, and then the Kaplan-Meier method was used to draw the overall survival curve, and the log-rank test was used to compare the survival between the HCC patients with high-risk and low-risk. At the same time, the area under receiver operating characteristic curve (AUC) was used to evaluate the value of the risk score function model in predicting the 1-, 3-, and 5-year overall survival rates of HCC patients in the training set, validation set, and integral set. Then the nomogram was constructed based on the risk score function model and factors validated in clinic, and its predictive ability for the prognosis of HCC patients was evaluated. ResultsA total of 374 patients with HCC were downloaded from the TCGA, of which 342 had complete clinicopathologic data, including 171 in the training set and 171 in the validation set. Finally, 8 lncRNAs genes relevant to prognosis (AC099850.3, LINC00942, AC040970.1, AC022613.1, AC009403.1, AL355974.2, AC015908.3, AC009283.1) were screened out, and the prognostic risk score function model was established as follows: prognostic risk score=exp1×β1+exp2×β2...+expi×βi (expi was the expression level of target lncRNA, βi was the coefficient of multivariate Cox regression analysis of target lncRNA). According to this prognostic risk score function model, the median risk score was 0.89 in the training set. The patients with low-risk and high-risk were 86 and 85, 86 and 85, 172 and 170 in the training set, validation set, and integral set, respectively. The overall survival curves of HCC patients with low-risk drawn by Kaplan-Meier method were better than those of the HCC patients with high-risk in the training set, validation set, and integral set (P<0.001). The AUCs of the prognostic risk score function model for predicting the 1-, 3-, and 5-year overall survival rates in the training set were 0.814, 0.768, and 0.811, respectively, in the validation set were 0.799, 0.684, and 0.748, respectively, and in the integral set were 0.807, 0.732, and 0.784, respectively. The multivariate Cox regression analysis showed that the prognostic risk score function model was a risk factor affecting the overall survival of patients with HCC [<0.89 points as a reference, RR=1.217, 95%CI (1.151, 1.286), P<0.001]. The AUC (95%CI) of the prognostic risk score function model for predicting the overall survival rate of HCC patients was 0.822 (0.796, 0.873). The AUCs of the nomogram constructed by the prognostic risk score function model in combination with clinicopathologic factors to predict the 1-, 3-, and 5-year overall survival rates were 0.843, 0.839, and 0.834. The calibration curves of the nomogram of 1-, 3-, and 5-year overall survival rates in the training set were close to ideal curve, suggesting that the predicted overall survival rate by the nomogram was more consistent with the actual overall survival rate. ConclusionThe prognostic risk score function model constructed by the lncRNAs relevant to PCD in this study may be a potential marker of prognosis of the patients with HCC, and the nomogram constructed by this model is more effective in predicting the prognosis (overall survival) of patients with HCC.
Objective The aim of this study is to review the association between long non-coding RNA (lncRNA) and papillary thyroid carcinoma (PTC). Method The relevant literatures about lncRNA associated with PTC were retrospectively analyzed and summarized. Results The expression levels of noncoding RNA associated with MAP kinase pathway and growth arrest (NAMA), PTC susceptibility candidate 3 (PTCSC3), BRAF activated non-coding RNA (BANCR), maternally expressed gene 3 (MEG3), NONHSAT037832, and GAS8-AS1 in PTC tissues were significantly lower than those in non-thyroid carcinoma tissues. The expression levels of ENST00000537266, ENST00000426615, XLOC051122, XLOC006074, HOX transcript antisense RNA (HOTAIR), antisense noncoding RNA in the INK4 locus (ANRIL), and metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in PTC tissues were upregulated in PTC tissues, comparing with the non-thyroid carcinoma tissues. These lncRNAs were possibly involved in cell proliferation, migration, and apoptosis of PTC. Conclusion LncRNAs may provide new insights into the molecular mechanism and gene-targeted therapy of PTC and become new molecular marker for the diagnosis of PTC.
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.