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.
Objective To investigate the role of long non-coding RNA metastasis-associated in colon cancer 1-antisense RNA （MACC1-AS1）in cisplatin resistant gastric cancer and its possible mechanism. Methods Human gastric cancer cell line BGC823 and cisplatin resistant gastric cancer cell line (BGC823/DDP) were selected as the research objects. BGC823/DDP cells were transfected and divided into negative control group (si-NC group, transfected with si-NC empty plasmid) and MACC1-AS1 gene silencing group (si-MACC1-AS1 group, transfected with si-MACC1-AS1 plasmid). The BGC823 cells were transfected and divided into positive control group (pcDNA-NC group, transfected with pcDNA-NC empty plasmid) and MACC1-AS1 gene overexpression group (pcDNA-MACC1-AS1 group, transfected with pcDNA-MACC1-AS1 plasmid). MTT was used to detect the inhibition and 50% inhibition concentration (IC50). Flow cytometry was used to detect apoptosis. Real-time fluorescence quantitative PCR was used to detect the mRNA expression levels of MACC1-AS1, B-lymphoma-2 gene (Bcl-2), Bcl-2 related X gene (Bax), mammalian target of rapamycin (mTOR), phosphorylated mTOR (p-mTOR), protein kinase B (AKT), and phosphorylated AKT (p-AKT). Western blot was used to detect the protein expression levels of Bax, Bcl-2, p-mTOR, mTOR, AKT, and p-AKT. Results The relative expression level of MACC1-AS1 mRNA in BGC823/DDP cells was higher than that in BGC823 gastric cancer cells (P<0.01). The relative expression level of MACC1-AS1 mRNA in the si-MACC1-AS1 group cells was lower than that in the si-NC group cells (P<0.01). The relative expression level of MACC1-AS1 mRNA in the pcDNA-MACC1-AS1 group cells was higher than that in the pcDNA-NC group cells (P<0.01). The cell growth inhibition rate and IC50 of the si-MACC1-AS1 group were higher than those of the si-NC group (P<0.01). The cell growth inhibition rate and IC50 of the pcDNA-MACC1-AS1 group were lower than those of the pcDNA-NC group (P<0.01). The mRNA and protein relative expression levels of Bcl-2, p-AKT/AKT and p-mTOR/mTOR in the pcDNA-MACC1-AS1 group were significantly higher than those in the pcDNA-NC group (P<0.01). The relative expression levels of Bax protein and mRNA in the pcDNA-MACC1-AS1 group were significantly lower than those in the pcDNA-NC group (P<0.01). The apoptosis rate of the pcDNA-MACC1-AS1 group was significantly lower than that of the pcDNA-NC group (P<0.01). The mRNA and protein relative expression levels of Bcl-2, p-AKT/AKT and p-mTOR/mTOR in the si-MACC1-AS1 group were significantly lower than those in the si-NC group (P<0.01). The relative expression levels of Bax protein and mRNA in the si-MACC1-AS1 group were significantly higher than those in the si-NC group (P<0.01). The apoptosis rate of the si-MACC1-AS1 group was significantly higher than that of the si-NC group (P<0.01). Conclusions MACC1-AS1 highly expresses in cisplatin resistant gastric cancer cells. Overexpression of MACC1-AS1 regulates AKT/mTOR pathway mediated apoptosis and enhances cisplatin resistance of gastric cancer cells.
ObjectiveTo investigate relationship of long non-coding RNA FoxP4-AS1 expression with lymph node metastasis (LNM) of papillary thyroid carcinoma (PTC).MethodsReal time fluorescent quantitative polymerase chain reaction was used to detect the expression level of FoxP4-AS1 in 52 cases of PTC tissues and corresponding adjacent tissues, PTC cells (TPC-1, B-CPAP, K1), and normal thyroid follicular epithelial cells (Nthy-ori3-1). Univariate and multivariate analysis were used to identify the influencing factors of LNM in PTC. Receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of influencing factors of LNM in PTC.ResultsThe expression level of FoxP4-AS1 in the PTC tissues was significantly decreased as compared with the corresponding adjacent tissues (t=7.898, P<0.001), which in the different cells had statistical difference (F=29.866, P<0.001): expression levels in the TPC-1 and K1 cells were lower than Nthy-ori3-1 cells (P<0.05) and in the B-CPAP cells and Nthy-ori3-1 cells had no statistical difference (P>0.05) by multiple comparisons. Univariate analysis showed that the extraglandular invasion (χ2=4.205, P=0.040)and low expression of FoxP4-AS1 (χ2=7.144, P=0.008) were the influencing factors of LNM in PTC. Binary logistic regression analysis showed that extraglandular invasion [OR=9.455, 95%CI (1.120, 79.835), P=0.039] and low expression ofFoxP4-AS1[OR=5.437, 95%CI (1.488, 19.873), P=0.010] were risk factors for LNM of PTC. The area under the ROC curve ofFoxP4-AS1,extraglandular invasion alone, and combination of the two were 0.679, 0.656, and 0.785, respectively.ConclusionsFoxP4-AS1 is down-regulated in PTC. Low level of FoxP4-AS1 is a risk factor for LNM of PTC. Combined detection of expression level of FoxP4-AS1 and extraglandular invasion has a high predictive value for LNM of PTC.
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.
Calcific aortic valve disease has been the most common heart valve disorder in western world, accompanying with the increase of morbidity in our country year by year. Several molecules and mechanisms are involved in the progression of aortic valve calcification, which intensify the complexity of this pathological process. It is known that inflammation, a key factor in many diseases, has its own role in the development of aortic valve calcification. It has been demonstrated that inflammation, one of the most important participants in this disorder, which may accelerate the local lesions in aortic valve via promoting the expression of osteogenic differentiation of associated factors or decreasing the level of protective molecules. Dyslipidemia is a traditional risk factor of cardiovascular events. However, it may induce or enhance the inflammatory response whereby facilitates the calcific lesions in aortic valve. Recently, several researches have illustrated that non-coding RNAs, a stimulative factor in the progression of malignant tumor, might play a role in the development of aortic valve calcification. MiRNA and lncRNA, the non-coding RNAs which regulate the expression of genes involved in inflammatory and osteogenic differentiation, are undeniable regulators of aortic valve calcification.
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 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 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 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 summarize the regulatory effect of long non-coding RNA (lncRNA) on osteoarthritis (OA) cartilage injury.MethodsThe molecular functions and mechanisms of lncRNA were introduced and its regulatory effects on the pathological processes of OA were elaborated by referring to the relevant literature at domestic and abroad in recent years.ResultsThe pathological characteristics of OA are degeneration of articular cartilage and inflammation of synovial tissue, but its etiology and pathological mechanism have not been clarified. lncRNA is a kind of heterogeneous non-coding RNA, which plays a regulatory role in many inflammation-related diseases and exerts a wide range of biological functions. lncRNA is a regulator involved in the pathogenesis of OA, and is abnormally expressed in OA cartilage, leading to the degeneration of the extracellular matrix of cartilage.ConclusionAt present, there have been preliminary studies on the pathological effects of lncRNA in regulating OA and the biological functions of chondrocytes. However, the pathogenesis of lncRNA and its regulatory network in OA and the way in which it regulates inflammatory pathways are still unclear, and further exploration is needed.