A genetic variant in MiR-146a modifies digestive system cancer risk: a meta-analysis

mirSNPs as Potential Colorectal Cancer Biomarkers: A Systematic Review

Colorectal cancer (CRC) is the third most common neoplasm in the world and the second with the highest mortality rate. Single nucleotide polymorphisms (SNPs) in microRNA (miRNA) genes known as mirSNPs may be related to dysregulated miRNA expression in several neoplasms. This systematic review aims to investigate studies that investigate SNPs located in regions of miRNA genes that influence their expression and are associated with CRC, as well as their potential as biomarkers for the disease, based on the available literature. For this, searches were performed in public databases, including MEDLINE/PubMed, Embase, Web of Science, and Scopus. The rigorous review of the PRISMA 2020 guidelines and the methodological quality of these studies was assessed using the Newcastle-Ottawa scale and the Mixed Methods Assessment Tool. Of the 175 studies identified, 26 were considered eligible: 18 of them highlighted mirSNPs as potential biomarkers of risk and prognosis for CRC; 4 studies suggested a protective role; 1 study linked mirSNPs to treatment; 3 studies found no relevant evidence. These results highlight the importance of conducting further research on the topic, given the potential of these biomarkers to contribute to risk assessment, prognosis, and the development of therapeutic strategies for patients with CRC.

QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion

Studies have shown that microRNAs (miRNAs) are closely associated with many human diseases, but we have not yet fully understand the role and potential molecular mechanisms of miRNAs in the process of disease development. However, ordinary biological experiments often require higher costs, and computational methods can be used to quickly and effectively predict the potential miRNA-disease association effect at a lower cost, and can be used as a useful reference for experimental methods. For miRNA-disease association prediction, we have proposed a new method called Matrix completion algorithm based on q-kernel information (QIMCMDA). We use fivefold cross-validation and leave-one-out cross-validation to prove the effectiveness of QIMCMDA. LOOCV shows that AUC can reach 0.9235, and its performance is significantly better than other commonly used technologies. In addition, we applied QIMCMDA to case studies of three human diseases, and the results show that our method performs well in inferring potential interaction between miRNAs and diseases. It is expected that QIMCMDA will become an excellent supplement in the field of biomedical research in the future.

MiRNA-146a rs2910164 Confers a Susceptibility to Digestive System Cancer: A Meta-Analysis Involving 59,098 Subjects

BACKGROUND

MicroRNA (miR)-146a might participate in the occurrence of malignant tumor. The aim of the current investigation was to evaluate the relationship of microRNA-146a (miR-146a) rs2910164 C > G locus to the development of digestive system cancer (DSC).

METHODS

We retrieved publications from PubMed, China Biology Medicine and EMBASE databases up to August 29, 2019. Finally, 56 independent case-control studies with 59,098 participants were included. The strength of the relationship between rs2910164 locus and a risk of DSC was assessed. The power value was also calculated in this study.

RESULTS

We identified a correlation of rs2910164 locus in miR-146a with DSC development in dominant model (P = .035; power value = 0.994). MiR-146a rs2910164 locus was also identified to be correlated with a risk of DSC in Asians (GG/CG vs. CC: P = .033; power value = 0.989). Sensitivity analysis revealed that any individual study could not alter the final decision. In our study, no significant bias was found among these included studies (P > .1). The results of heterogeneity analysis suggested that small sample size (<1000 subjects), colorectal carcinoma, Asians, gastric carcinoma, esophageal squamous cell carcinoma, hepatocellular cancer, hospital-based study and high-quality score (≥7.0) subgroups contributed the heterogeneity to our findings. Galbraith radial plot determined that eleven outliers contributed to the main heterogeneity.

CONCLUSION

In summary, this meta-analysis highlights that rs2910164 locus might be implicated in the risk of DSC. More studies are, therefore, needed to confirm our results.

Overview of biological effects of Quercetin on ovary

Over the last few decades, using natural products has been increased to treat different diseases. Today, great attention has been pointed toward the usage of natural products such as flavonoids, especially Quercetin (QUR), in the treatment of diseases. QUR as a natural antioxidant has been traditionally used to prevent or treat a variety of diseases such as cancer, cardiovascular disease, polycystic ovary syndrome (PCOS), obesity, chronic inflammation, and reproductive system dysfunction. Several studies demonstrated that QUR acts as an anti-inflammatory, anti-apoptotic, antioxidant, and anticancer agent. With this in view, in this study, we intended to describe an overview of the biological effects of QUR on the ovary. QUR improves the quality of oocytes and embryos. It affects the proliferation and apoptosis and decreases the oxidative stress in granulosa cells (GCs). Furthermore, QUR can be used as a complementary and alternative therapy in ovarian cancer and it has beneficial effects in the treatment of PCOS patients. It seems that QUR as a supplementary factor has different activities for the treatment of different disorders and it also has bidirectional activities. However, further investigations are needed for understanding the efficacy of QUR in the treatment and improvement of gynecological patients.

Genetic variations in MicroRNA genes and cancer risk: A field synopsis and meta-analysis

BACKGROUND

Cancer risk has been associated with certain gene variations in microRNA (miRNA), but conflicting evidence warrants re-assessing of significant results in meta-analyses. We summarized published meta-analyses that assess the associations between miRNA polymorphism and cancers to show the validity of the findings.

METHOD

We searched PubMed and investigated the results of meta-analyses published through November 2018. We re-assessed the results based on false-positive report probability (FPRP) to test the noteworthiness of the associations.

RESULTS

Sixty-eight miRNA polymorphisms in 45 meta-analyses associated with cancer were included. Four (7.4%) and sixteen (25.0%) single nucleotide polymorphisms (SNPs) were noteworthy (FPRP < 0.2) at a prior probability of 0.001 for interesting candidate genes and a statistical power to detect an odds ratio (OR) of 1.1 and 1.5, respectively. The four miRNA SNPs noteworthy at an OR of 1.1 were as follows: miR-146a/rs2910164 Cvs.G; miR-27a/rs895819 Cvs.T; miR-423/rs6505162 Cvs.A; and miR-605/rs2043556 Cvs.T. The 16 SNPs noteworthy at an OR of 1.5 include the four genotype comparisons at an OR of 1.1, and the additional 12 genotype comparisons were as follows: miR-196a2/rs11614913 Tvs.C; miR-27a/rs895819 GGvs.AA + AG; miR-196a2/rs11614913 C vs.T; miR-146a/rs2910164 Gvs.C; miR-196a2/rs11614913 Tvs.C; miR-146a/rs2910164 Cvs.G; miR-499/rs3746444 homozygous model; miR-146a/rs2910164 CCvs.GG + GC; miR-499/rs3746444 TCvs.TT; miR-499/rs3746444 GAvs.AA; miR-146a/rs2910164 CCvs.GG; and miR-499/rs3746444 Gvs.A. No association was noteworthy at a prior probability of 0.000001.

CONCLUSION

Out of 68 published associations of miRNA polymorphisms with cancer, sixteen have shown noteworthiness in our re-assessing meta-analysis. Our findings summarize the results of meta-analyses on the association of cancer with SNPs and underline the importance of interpreting results with caution.

MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation

Background

Studies have shown that miRNAs are functionally associated with the development of many human diseases, but the roles of miRNAs in diseases and their underlying molecular mechanisms have not been fully understood. The research on miRNA-disease interaction has received more and more attention. Compared with the complexity and high cost of biological experiments, computational methods can rapidly and efficiently predict the potential miRNA-disease interaction and can be used as a beneficial supplement to experimental methods.

Results

In this paper, we proposed a novel computational model of kernel neighborhood similarity and multi-network bidirectional propagation (KNMBP) for miRNA-disease interaction prediction, especially for new miRNAs and new diseases. First, we integrated multiple data sources of diseases and miRNAs, respectively, to construct a novel disease semantic similarity network and miRNA functional similarity network. Secondly, based on the modified miRNA-disease interactions, we use the kernel neighborhood similarity algorithm to calculate the disease kernel neighborhood similarity and the miRNA kernel neighborhood similarity. Finally, we utilize bidirectional propagation algorithm to predict the miRNA-disease interaction scores based on the integrated disease similarity network and miRNA similarity network. As a result, the AUC value of 5-fold cross validation for all interactions by KNMBP is 0.93126 based on the commonly used dataset, and the AUC values for all interactions, for all miRNAs, for all disease is 0.93795、0.86363、0.86937 based on another dataset extracted by ourselves, which are higher than other state-of-the-art methods. In addition, our model has good parameter robustness. The case study further demonstrated the predictive performance of the model for novel miRNA-disease interactions.

Conclusions

Our KNMBP algorithm efficiently integrates multiple omics data from miRNAs and diseases to stably and efficiently predict potential miRNA-disease interactions. It is anticipated that KNMBP would be a useful tool in biomedical research.

Quercetin inhibits human microvascular endothelial cells viability, migration and tube-formation in vitro through restraining microRNA-216a

Background: Quercetin belongs to the flavonoids family, which has been proven to have extensive pharmacological effects. Nevertheless, the function of quercetin in peripheral arterial disease (PAD) has not yet been reported. In the research, we purposed to disclose the effectiveness of quercetin in the pathogenesis of PAD.Methods: HMEC-1 cells were cultivated in Matrigel for 24 h to observe the tube-formation. Detections of cell viability, migration and apoptosis were through implementing CCK-8, Transwell and flow cytometry methods. Western blot was utilised for measuring angiogenesis-, migration- and apoptosis-correlative factors. MiR-216a expression was examined via qRT-PCR, and its functions in HMEC-1 cells were uncovered after miR-216a mimic transfection. Assessment of JAK2/STAT3 and PI3K/AKT pathways was via implementing western blot.Results: HMEC-1 cells were spontaneously vascularised under Matrigel condition. Quercetin predominantly repressed cell viability, migration, VEGF expression and facilitated apoptosis in HMEC-1 cells. Additionally, suppression of miR-216a was discovered in HMEC-1 cells after quercetin stimulation, meanwhile miR-216a overexpression annulled the functions of quercetin in HMEC-1 cells. Besides, quercetin deactivated PI3K/AKT and JAK/STAT pathways through adjusting miR-216a.Conclusion: The above-mentioned consequences exhibited that quercetin suppressed HMEC-1 cell viability, migration and tube-formation through hindering JAK2/STAT3 and PI3K/AKT pathway via declination of miR-216a.

MicroRNA gene polymorphisms and the risk of colorectal cancer

The present study was carried out to demonstrate the epidemiological value of microRNA (miRNA) in colorectal cancer (CRC) by investigating the association between miRNA gene polymorphisms and the susceptibility to CRC. Multiple meta-analyses of reported data were conducted, and odds ratio values and 95% confidence intervals were used to assess these associations. Stata 11.0 software was used to analyze the data and the modified Jadad quality score was employed to evaluate the quality of the retrieved studies. We retrieved 38 studies on the association between miRNA polymorphisms and risk of CRC, however only 15 met the requirements of the inclusion criteria. In conclusion, we identified a variety of miRNAs (miRNA-let-7, miR-34b/c, miR-146a, miR-603 and miR-149) gene polymorphisms that are associated with susceptibility to CRC. However, some miRNAs (miR-192a, miR-608 and miR-27a) are associated with CRC, but not susceptibility to CRC. The results have limitations given the relatively low number of studies available. Therefore, it is necessary to collect data from large sample-size studies to further validate the results.

MiR-146a rs2910164 polymorphism increases the risk of digestive system cancer: A meta-analysis

AIM

There is merging evidence suggesting that the miR-146a polymorphism might be associated with susceptibility to digestive system cancer. However, previous published studies have failed to achieve a definitive conclusion. To address this issue, an updated meta-analysis was performed.

METHODS

A comprehensive electronic search was conducted using the following source to identify the eligible studies: PubMed, Embase, China BioMedicine, the Cochrane Library, and Google Scholar. Odds ratios and its corresponding 95% confidence interval (CI) was used in the quantitative synthesis.

RESULTS

The database search identified 1344 eligible studies, of which 32 (comprising 12,541 cases and 15,925 controls) were included. The results indicate that the miR-146a rs2910164 polymorphism was significantly associated with increased risk of digestive system cancer in heterozygote comparison (GC vs. CC: OR=1.15, 95% CI: 1.02-1.30, P=0.02), and recessive model (GG vs. GC+CC: OR=1.11, 95% CI: 1.04-1.17, P=0.006). Subgroup analysis by cancer site revealed increased risk in gastric cancer above heterozygote comparison (GG vs. GC: OR=1.13, 95% CI: 1.02-1.25, P=0.02), and recessive model (GG vs. GC+CC: OR=1.15, 95% CI: 1.04-1.26, P=0.006). Similarly, increased cancer risk was observed in hepatocellular carcinoma when compared with homozygote comparison (GG vs. CC: OR=1.21, 95% CI: 1.04-1.42, P=0.02), heterozygote comparison (GC vs. CC: OR=1.15, 95% CI: 1.02-1.29, P=0.02), and dominant model (GG+GC vs. CC: OR=1.16, 95% CI: 1.04-1.29, P=0.009). When stratified by ethnicity and quality score, increased cancer risks were also observed among Asians, Caucasians and high quality studies subgroup.

CONCLUSION

The current study revealed that miR-146a G/C genetic polymorphism was more likely to be associated with digestive system cancer risk.

Association of the miRNA146a rs2910164 C>G Polymorphism with Head and Neck Cancer Risk: A Meta-analysis

OBJECTIVE

To investigate any association of the miRNA146a rs2910164 C>G polymorphism with head and neck cancer risk.

MATERIALS AND METHODS

The Medline, PubMed, PUBMED, EMBASE, Web of Science, WanFang and CNKI databases were searched and a meta-analysis was conducted using RevMan 5.2 software.

RESULTS

After searching and evaluating the literature, a total seven papers involving 2,766 patients with head and neck cancer and 6,603 healthy controls were included into this meta analysis. The results showed that there were no significant differences between patients and healthy controls overall for the miRNA rs2910164 C>G gene polymorphism (dominant model:OR=0.78, 95%CI:0.58-1.04, P=0.09; recessive model:OR=0.86, 95%CI:0.67-1.12, P=0.27;GG:CC:OR=0.75, 95%CI:0.52-1.08, P=0.12;GC:CC:OR=0.79, 95%CI:0.60-1.04, P=0.10). However, a significant association of miRNA rs2910164 C>G gene polymorphism with Chinese head and neck cancer risk was noted, limited to the dominant model (OR=0.68, 95%CI:0.50-0.95, P=0.02;GG:CC:OR=0.62, 95%CI:0.42-0.92, P=0.02;GC:CC:OR=0.72, 95%CI:0.520.99, P=0.04).

CONCLUSIONS

miRNA146a rs2910164 C>G polymorphism is not associated with head and neck cancer risk in general, but tehre may be link in Chinese.

Associations of Polymorphisms in mir-196a2, mir-146a and mir-149 with Colorectal Cancer Risk: A Meta-Analysis

MicroRNAs (miRNAs) are non-coding RNAs which act as tumor suppressors or oncogenes. And single nucleotide polymorphism (SNP) in miRNA regions is one type of genetic variations in human genome. Various studies have investigated the associations of miRNAs SNP and kinds of cancers. In this article, we searched eligible studies to explore the relationships between mir-196a2 /mir-146a /mir-149 polymorphisms and colorectal cancer (CRC). A literature search of PubMed, Web of Science and ScienceDirect was conducted to identify all relevant studies. Three genetic models with pooled ratio and 95% confidence interval were used to evaluate the associations. We found that mir-196a2 polymorphism was significantly associated with CRC in Asian group (additive model: OR = 1.197, 95%CI 1.084 ~ 1.32, P < 0.001; dominant model: OR = 1.247, 95%CI 1.065 ~ 1.46, P = 0.006; recessive model: OR = 1.298, 95%CI 1.101 ~ 1.531, P = 0.002). And no associations were observed between SNPs of mir-146a, mir-149 and CRC in three genetic models. We also found CRC risk was not associated with mir-146a and mir-149 polymorphisms in population subgroup analysis. The current meta-analysis suggests that mir-196a2 polymorphism is associated with CRC, especially in Asian group. While, no associations have been found between mir-146a /mir-149 polymorphisms and CRC.

Quercetin induces the apoptosis of human ovarian carcinoma cells by upregulating the expression of microRNA-145

Ovarian cancer is one of the most malignant types of cancer of the female human reproductive track, posing a severe threat to the health of the female population. Numerous previous studies have demonstrated that microRNA (miR)-145 is downregulated in ovarian cancer, and that quercetin can inhibit the growth of cancer cells via regulating the expression of miRs. Therefore, the present study investigated the effect of quercetin on the expression of miR-145 in SKOV-3 and A2780 human ovarian cancer cell lines. The results revealed that the expression levels of cleaved caspase-3 in the SKOV-3 and A2780 cells were significantly increased following treatment to induce overexpression of miR-145 compared with treatment with quercetin alone (P<0.01). However, the expression of cleaved caspase-3 in the anti-miR-145 (miR-145 inhibitor) group of cells was markedly decreased compared with that in the miR-145 overexpression group (P<0.01). Taken together, the results suggested that treatment with quercetin induced the apoptosis of human ovarian carcinoma cells through activation of the extrinsic death receptor mediated and intrinsic mitochondrial apoptotic pathways.

Effects of Two Common Polymorphisms rs2910164 in miR-146a and rs11614913 in miR-196a2 on Gastric Cancer Susceptibility

Background. Single nucleotide polymorphisms (SNPs) in genes encoding microRNAs may play important role in the development of gastric cancer. It has been reported that common SNPs rs2910164 in miR-146a and rs11614913 in miR-196a2 are associated with susceptibility to gastric cancer. The published results remain inconclusive or even controversial. A meta-analysis was conducted to quantitatively assess potential association between the two common SNPs and gastric cancer risk. Methods. A comprehensive literature search was performed in multiple internet-based electronic databases. Data from 12 eligible studies were extracted to estimate pooled odds ratios (ORs) and 95% confidence intervals (95% CI). Results. C allele of rs2910164 is associated with reduced gastric cancer risk in heterozygote model and dominant model whereas rs11614913 indicates no significant association. Subgroup analysis demonstrates that C allele of rs2910164 and rs11614913 may decrease susceptibility to diffuse type gastric cancer in dominant model and recessive model, respectively, while rs11614913 increased intestinal type gastric cancer in dominant model. Conclusion. SNPs rs2910164 and rs11614913 might have effect on gastric cancer risk in certain genetic models and specific types of cancer. Further well-designed studies should be considered to validate the potential effect.

Quercetin inhibits proliferation and invasion acts by up-regulating miR-146a in human breast cancer cells

Breast cancer is the most common female malignancies in the world which seriously impacts the female health. In recent years, various studies have been reported to determine the relevance of miRNAs to human cancer. One of these miRNAs, miR-146a has been down-regulated in multiple human cancer types, but up-regulation showed inducing apoptosis. To determine the role of quercetin treated on breast cancer, we investigated the effect of quercetin on cell proliferation in human breast cancer cell lines MCF-7 and MDA-MB-231 with/without transfection of miR-146a mimic or anti-miR-146a. Furthermore, the expressions of bax and cleaved-caspase-3, mainly were increased in control and overexpression miR-146a groups, however, the expression of EGFR was inverse. All the results demonstrated that quercetin exhibited excellent effect on inhibiting cell proliferation in human breast cancer cells, which was performed by up-regulating miR-146a expression, then via inducing apoptosis through caspase-3 activation and mitochondrial-dependent pathways, and inhibiting invasion through down-regulating the expression of EGFR.

The 765G>C polymorphism in the cyclooxygenase-2 gene and gastric cancer risk: an update by meta-analysis

BACKGROUND

The 765G>C polymorphism in cyclooxygenase-2 (COX-2) gene has been extensively investigated for association with gastric cancer (GC). However, the results of different studies have been inconsistent. The aim of this study is to comprehensively evaluate the genetic risk of -765G>C polymorphism in the COX-2 gene for GC.

MATERIALS AND METHODS

We searched Pubmed, Embase, Medline, CNKI database, Wanfang database, Weipu database, and Chinese Biomedical database, covering all publications (last search been performed on Jan 10, 2014). Statistical analyses were performed using Revman 5.2 and STATA 10.0 software.

RESULTS

A total of 1,874 cases and 3,005 controls in 10 case-control studies were included in this meta-analysis. The results indicated that the variant C allele carriers (GC+CC) had a 69% increased risk of GC when compared with the homozygote GG (odds ratio (OR)=1.69, 95% confidence interval (CI), 1.10-2.61 for GC+CC vs GG). In the subgroup analysis by ethnicity, significant elevated risks were associated with C allele carriers in Asians (OR=1.75, 95%CI=1.40-2.18, and p<0.00001) and in Indians (OR=8.38, 95%CI=4.34-16.16, and p<0.00001) but not in Caucasians (OR=1.07, 95%CI=0.81-1.42, and p=0.62) or in Dutch (OR=0.53, 95%CI= 0.33-0.87, and p= 0.01).In the subgroup analysis by Helicobacter pylori (H. pylori) status, a significantly increased risk was identified among H. pylori (+) (OR=3.58, 95%CI=2.33-3.50, and p<0.00001) and H. pylori (-) (OR=2.32, 95%CI=1.46-3.69, and p=0.0004).

CONCLUSIONS

This meta-analysis suggested that the -765G>C polymorphism in the COX-2 gene could be a risk factor for GC in Asians and Indians.

Effect of a common genetic variant microRNA-146a rs2910164 on colorectal cancer: a meta-analysis

OBJECTIVE

There is emerging evidence that the microRNA-146a (miR-146a) rs2910164 polymorphism might be associated with the susceptibility to colorectal cancer (CRC). However, previous published studies have failed to achieve a definitive conclusion. We aimed to address this issue in an updated meta-analysis.

METHODS

A comprehensive literature search was conducted in PubMed, Embase, China BioMedicine, the Cochrane Library and Google Scholar to identify eligible studies. Case-control studies written in English that evaluated the association between miR-146a polymorphism and CRC were included. Odds ratio and 95% confidence interval were calculated in the quantitative synthesis.

RESULTS

Overall seven case-control studies including a total of 2978 cases and 3576 cancer-free or healthy controls were enrolled in the meta-analysis. The results indicated that there was no association between miR-146a G/C rs2910164 polymorphism and CRC risk either in the overall analysis or among Asians, when stratified on the basis of ethnicity.

CONCLUSION

miR-146a G/C genetic polymorphism was not related to the susceptibility to CRC.

MicroRNAs used as novel biomarkers for detecting cancer metastasis

The low survival rates of cancers are primarily due to late diagnosis and metastasis. Discriminating the metastasis is a crucial factor for prognosis and improving the survival rate of cancer patients. MicroRNAs (miRNAs) can regulate the expression of hundreds of downstream genes, which has a broad effect on the regulation of the whole cell cycle. Accumulating studies have found that the aberrant expression of miRNAs is associated with cancer genesis. The aim of this study is to evaluate the diagnostic value of miRNAs in detecting cancer metastasis. Medline, PubMed, Embase, and CNKI were searched for relevant articles. Sensitivity, specificity, positive and negative likelihood ratio (PLR, NLR) and diagnostic odds ratio (DOR), the summary receiver operator characteristic (SROC) curve and the calculated AUC (area under the SROC curve) were applied to explore the diagnostic accuracy of miRNAs in metastasis. Seven hundred seventy-one metastatic cancer patients and 552 non-metastatic cancer controls from 14 articles were involved in our meta-analysis. A sensitivity of 0.75 (95% confidence interval (CI), 0.72-0.79) and a specificity of 0.80 (95% CI, 0.76-0.84) were observed from metastatic patients and non-metastatic controls in the combined analysis. And the AUC was 0.83 (95% CI, 0.79-0.86). In addition, results from subgroup analyses suggested that a higher diagnostic value for metastasis was acquired in tissue sample other than blood sample (sensitivity, 0.82 versus 0.73; specificity, 0.84 versus 0.79; PLR, 5.0 versus 3.5; NLR, 0.22 versus 0.34; DOR, 23 versus 10; AUC, 0.88 versus 0.80). In summary, this meta-analysis proved the relatively high diagnostic value of miRNA in metastasis, which might be applied as a novel screening tool to detect metastasis along with other biomarkers. We also illustrated that tissue-based miRNAs may have a better diagnostic accuracy than blood-based miRNAs.