Retracted: The role of HOTAIR-induced downregulation of microRNA-126 and interleukin-13 in the development of bronchial hyperresponsiveness in neonates

Long noncoding RNAs, including HOTAIR, are involved in the pathogenesis of a wide range of diseases. This study aimed to explore the mechanism underlying the involvement of HOTAIR in neonatal bronchial hyperresponsiveness (BHR). A total of 105 newborns were recruited in this study to collect their peripheral blood mononuclear cell and serum samples, which were then divided into different genotype groups based on the genotypes of rs4759314, rs874945, and rs7958904. The real-time polymerase chain reaction, western blot analysis, computational analyses, and luciferase assays were performed to establish the regulatory relationships between the HOTAIR, microRNA-126 (miR-126), and interleukin-13 (IL-13). The level of HOTAIR, miR-126, and IL-13 among rs4759314 AA, AG, and GG groups, as well as among rs874945 GG, AG, and AA groups was similar. However, the level of HOTAIR was increased in the rs7958904 GG group, accompanied by a decreased level of miR-126 and IL-13. In addition, the level of airway responsiveness was comparable among rs4759314 AA, AG, and GG groups, as well as among rs874945 GG, AG, and AA groups. However, the airway responsiveness in the groups rs7958904 CG and CC was much stronger than that of the GG group. We also demonstrated that, by directly binding to miR-126, HOTAIR reduced the expression of miR-126, which in turn decreased the expression of IL-13. In summary, we demonstrated the role of HOTAIR-induced downregulation of miR-126 and IL-13 in the development of BHR in neonates.     

Meta-analysis of epidemiological studies demonstrates significant association of PTGS2 polymorphism rs689470 and no significant association of rs20417 with prostate cancer

Evidence is accumulating that chronic inflammation has an important role in prostate cancer. Two common polymorphisms in the prostaglandin-endoperoxide synthase 2 (PTGS2) gene, rs20417 and rs689470, have been found to alter the risk for prostate cancer, but the various studies are not in agreement. To derive a more precise estimation of this association, all available studies were considered in a meta-analysis, with 10,700 patients and 13,021 controls for rs20417 and 4087 patients and 3761 controls for rs689470. We used odds ratios (ORs) to assess the strength of the association, and 95% confidence intervals (CIs) to determine the precision of the estimate. When all groups were pooled, we did not detect a significant association of rs20417 polymorphism with prostate cancer risk. Similarly, no associations were found in the subgroup analysis. However, we found that rs689470 was significantly associated with a trend towards increased prostate cancer risk when using both additive (OR = 2.15, 95%CI = 1.04-4.44, P = 0.04) and recessive models (OR = 2.07, 95%CI = 1.07-4.03, P = 0.03) to analyze the data. In subgroup analyses stratified by ethnicity, there was no evidence that rs689470 has a significant association with prostate cancer in Caucasians. Based on our meta-analysis, rs689470 polymorphism is significantly associated with prostate cancer risk in the overall population. Nevertheless, we suggest that further studies should be made to confirm these findings.     

Genetic variants in TERT–CLPTM1L genetic region associated with several types of cancer: A meta-analysis

Background

TERT–CLPTM1L genomic region has been extensively associated with several types of cancer. However, results were inconsistent. We performed this meta-analysis to estimate the association between TERT (rs2736100, rs2736098), as well as CLPTM1L (rs402710, rs401681) polymorphisms and cancer risk.

Methods

Electronic search in PubMed, EMBASE and China National Knowledge Infrastructure (CNKI) was conducted to select the studies. Studies containing available genotype frequencies of those 4 polymorphisms were chosen, and overall odds ratio (OR) with 95% confidence interval (CI) was used to assess the association.

Results

The final meta-analysis included 16 published case–control studies. Increased cancer risk was found between TERT-rs2736100, as well as CLPTM1L-rs402710 and cancer susceptibility. In addition, we found an increased risk of cancer in both rs2736098 and rs401681 homozygous variant genetic model.

Conclusions

This meta-analysis suggested that TERT–CLPTM1L genomic region was associated with increased risk of cancer. To validate the association between these polymorphisms and cancer susceptibility, further studies with larger participants are needed.     

Meta-analysis of the effect of KCNQ1 gene polymorphism on the risk of type 2 diabetes

The potassium voltage-gated channel, KQT-like subfamily member 1 (KCNQ1) is a member of 11 mammalian Kv channel families that plays a key role for the repolarization of the cardiac action potential as well as water and salt transport. Genome-wide association studies have identified KCNQ1 as a type 2 diabetes (T2D) susceptibility gene in populations of Asian descent. After that, a number of studies reported that the rs2237892, rs2237895, rs2237897, rs2283228, and rs231362 polymorphism in KCNQ1 has been implicated in T2D risk. However, studies on the association between these polymorphism and T2D remain conflicting. To derive a more precise estimation of the relationship, a meta-analysis of 114,140 patients and 167,322 controls from 30 published case–control studies was performed. Overall, significantly elevated T2D risk was associated with rs2237892, rs2237895, rs2237897, rs2283228, and rs231362 risk allele when all studies were pooled into the meta-analysis. In the subgroup analysis by ethnicity, sample size, and Hardy–Weinberg equilibrium status of controls, significantly increased risks were found for these polymorphisms. In conclusion, this meta-analysis suggests that rs2237892, rs2237895, rs2237897, rs2283228, and rs231362 polymorphisms in KCNQ1 are associated with elevated T2D risk.     

Association of mTOR Polymorphisms with Cancer Risk and Clinical Outcomes: A Meta-Analysis

Genetic polymorphisms in mTOR gene may be associated with cancer risk and clinical outcomes of cancer patients by affecting mTOR gene expression or its activation. However, inconsistent results have been reported. The aim of this study is to systematically evaluate the association between mTOR polymorphisms (rs2295080, rs2536 and rs11121704) and cancer risk as well as clinical outcome by a meta-analysis. We identified 10 eligible studies and extracted data by two investigators. Based on dominant and recessive models, odds ratio (ORs) and 95% confidence intervals (CIs) were calculated by using Stata, version 11 to evaluate the association strength. Our meta-analysis results showed that the wild genotype TT of rs2295080 polymorphism was associated with increased cancer risk under dominant model (OR = 1.24, 95%CI: 1.12–1.36, p<0.0005) in Chinese but not with clinical outcome parameters, while the TT genotype of rs11121704 was associated with poor clinical outcome parameters (OR = 1.53, 95%CI: 1.01–2.32, p = 0.044), such as death, metastasis and resistance to chemotherapy. However, rs2536 may not influence cancer susceptibility. In conclusion, this meta-analysis indicated the common polymorphisms in mTOR gene might be genetic risk factors for the carcinogenesis and clinical outcomes of cancer patients. However, further investigation on large population and different ethnicities are warranted.     

PLCE1 Polymorphism and Upper Gastrointestinal Cancer Risk: A Meta-Analysis

Background

In recent years, the PLCE1 rs2274223 polymorphism has been extensively investigated as a potential risk factor for upper gastrointestinal cancers, including squamous cell carcinoma (ESCC) and gastric cancer. However, the results of these studies have been inconsistent.

Methods

A meta-analysis of 13 case-control studies was performed including more than 11,000 subjects with genotyped PLCE1 rs2274223 polymorphisms. Odds ratios (OR) with 95% confidence intervals (CI) were employed to assess the association of the PLCE1 rs2274223 polymorphism with a susceptibility to ESCC or gastric cancer.

Results

A statistically significant increase in the risk of ESCC was associated with the PLCE1 rs2274223 polymorphism. This included the homozygous genetic model (OR = 1.46), heterozygous genetic model (OR = 1.25) and allelic genetic model (OR = 1.23). Similar results were consistently found for gastric cancer. In a subgroup analysis, the PLCE1 rs2274223 polymorphism was found to be a very sensitive marker for gastric cardia cancer as shown by the homozygous genetic model (OR = 2.23), heterozygous genetic model(OR = 1.59) and allelic genetic model (OR = 1.47). The risk associations of all of the gastric cardia cancer models were statistically significant. In contrast, none of the genetic models for non-cardia gastric cancer were significant.

Conclusions

In this meta-analysis, the PLCE1 rs2274223 polymorphism was confirmed to have a statistically significant association with an increasing risk of ESCC and gastric cancer. The increase risk was especially observed for gastric cardia cancer.     

Association between microRNA Polymorphisms and Cancer Risk Based on the Findings of 66 Case-Control Studies

MicroRNAs (miRNAs) are small non-coding RNA molecules, which participate in diverse biological processes and may regulate tumor suppressor genes or oncogenes. Single nucleotide polymorphisms (SNPs) in miRNA may contribute to diverse functional consequences, including cancer development, by altering miRNA expression. Numerous studies have shown the association between miRNA SNPs and cancer risk; however, the results are generally debatable and inconclusive, mainly due to limited statistical power. To assess the relationship between the five most common SNPs (miR-146a rs2910164, miR-196a2 rs11614913, miR-499 rs3746444, miR-149 rs2292832, and miR-27a rs895919) and the risk cancer development, we performed a meta-analysis of 66 published case-control studies. Crude odds ratios at 95% confidence intervals were used to investigate the strength of the association. No association was observed between rs2910164 and cancer risk in the overall group. However, in stratified analysis, we found that either the rs2910164 C allele or the CC genotype was protective against bladder cancer, prostate cancer, cervical cancer, and colorectal cancer, whereas it was a risk factor for papillary thyroid carcinoma and squamous cell carcinoma of the head and neck (SCCHN). Further, rs11614913 was found to be significantly associated with decreased cancer risk, in particular, for bladder cancer, gastric cancer, and SCCHN. For miR-499, a significant association was found between the rs3746444 polymorphism and cancer risk in pooled analysis. In subgroup analysis, similar results were mainly observed for breast cancer. Finally, no association was found between rs2292832 and rs895919 polymorphisms and cancer risk in the overall group and in stratified analysis. In summary, miR-196a2 rs11614913, miR-146a rs2910164, and miR-499 rs3746444 are risk factors for cancer development, whereas mir-149 rs2292832 and miR-27a rs895919 are not associated with cancer risk.     

Interleukin-12B rs3212227 polymorphism and cancer risk: a meta-analysis

IL-12 plays a very important role in the development and progress of cancer. IL-12B rs3212227 polymorphism has been reported and many studies have focused on the role of this polymorphism in various cancers. However, the association between IL-12B rs3212227 polymorphism and cancer risk remains controversial. Therefore, we performed a systematic meta-analysis to estimate the overall cancer risk associated with this gene polymorphism and to quantify any potential between-study heterogeneity. PubMed and Embase databases were searched for case–control studies published up to April 1, 2012 that investigated IL-12B rs3212227 polymorphism and cancer risk. Odds ratios (OR) with 95?% confidence intervals (95?% CI) were used to access the strength of this association. Heterogeneity among articles and publication bias were also verified. Ten studies with 2,954 cancer patients and 3,276 healthy controls were included. This meta-analysis showed that there was a significant association between IL-12B rs3212227 polymorphism and overall cancer risk (CC/AC vs AA: OR?=?1.32, 95?% CI?=?1.06–1.63). When stratified by cancer type, we found a significant increased risk in cervical and nasopharyngeal cancer (OR?=?1.34, 95?% CI?=?1.04–1.73; OR?=?2.03, 95?% CI?=?1.57–2.63, respectively). In the stratified analysis, we also observed a similar association in population-based studies (OR?=?1.34, 95?% CI?=?1.00–1.80), Asian populations (OR?=?1.33, 95 % CI?=?1.06–1.67) and European populations (OR?=?1.54, 95 % CI?=?1.04–2.28). According to the results of our meta-analysis, IL-12B rs3212227 polymorphism probably is associated with a high risk of cancer.     

Association of vitamin D receptor gene polymorphism with the risk of lung cancer: a meta-analysis

Abstract

Relationship between vitamin D receptor (VDR) gene polymorphism and the risk of lung cancer from the published reports are still conflicting. This study was conducted to evaluate the relationship between VDR TaqI (rs731236), BsmI (rs1544410) and ApaI (rs7975232) gene polymorphism and the risk of lung cancer using meta-analysis method. The association studies were identified from PubMed and Cochrane Library on 1 December 2013, and eligible investigations were included and synthesized using meta-analysis method. Six reports were recruited into this meta-analysis for the association of VDR gene polymorphism with lung cancer susceptibility. In the meta-analysis for ApaI gene polymorphism, AA genotype was associated with the risk of lung cancer in Asians. In the meta-analysis for BsmI gene polymorphism, B allele, BB genotype and bb genotype were associated with lung cancer in Asians, and B allele bb genotype were associated with lung cancer risk in overall populations; furthermore, bb genotype was associated with lung cancer risk in Caucasians. In the meta-analysis for TaqI gene polymorphism, t allele and TT genotype were associated with lung cancer in overall populations and in Caucasians. In conclusion, B allele bb genotype t allele and TT genotype were associated with lung cancer risk in overall populations. AA genotype, B allele, BB genotype and bb genotype were associated with the risk of lung cancer in Asians. Furthermore, bb genotype t allele and TT genotype was associated with lung cancer risk in Caucasians. However, more studies should be conducted to confirm it.     

A genetic variant in microRNA-196a2 is associated with increased cancer risk: a meta-analysis

MicroRNAs (miRNAs) are small non-coding RNA molecules that function as negative regulators of gene expression. Common genetic variants (single nucleotide polymorphisms, SNPs) in miRNA genes may alter their expression or maturation resulting in varied functional consequences. Until now, several studies had evaluated the association between the polymorphisms in the hsa-miR-196a2 rs11614913 and cancer risk in diverse populations and in multiple types of cancer, with contradictory outcomes. Therefore, here we performed a meta-analysis to address the association between this polymorphism and cancer risk. A total of nine studies involving 6,540 cases and 7,562 controls were retrieved based on PubMed. Our analysis demonstrated that hsa-miR-196a2 rs11614913 CC genotype significantly increased the cancer risk in homozygote comparison model compared to TT genotype (OR = 1.18; 95% CI, 1.01–1.68). Moreover, significant association of this polymorphism with breast cancer was found based on homozygote comparison model (OR = 1.30; 95% CI, 1.01–1.26) and dominant model (OR = 1.11; 95% CI, 1.01–1.23). In addition, hsa-miR-196a2 rs11614913 CC genotype was significantly associated with cancer risk in Chinese and Indian (OR = 1.21; 95% CI, 1.05–1.40), but not in Caucasians (OR = 1.03; 95% CI, 0.89–1.19). Taken together, our results indicate that the polymorphism of hsa-miR-196a2 rs11614913 is associated with cancer susceptibility, especially with breast cancer and in Chinese and Indian populations.     

Association between miR-34b/c rs4938723 polymorphism and risk of cancer: An updated meta-analysis of 27 case-control studies

Several studies investigated the association between miR-34b/c rs4938723 polymorphism and the risk of several human cancers, but the findings remain inconclusive. To evaluate the impact of miR-34b/c rs4938723 on cancer risk, we performed a meta-analysis on all available studies including 12 361 cancer cases and 14 270 controls. Eligible studies were identified by searching PubMed, Web of Science, Scopus, and Google scholar databases. Pooled odds ratios with 95% confidence intervals were calculated in codominant, dominant, recessive, overdominant, and allele models to quantitatively estimate the association. The overall findings showed no significant association between miR-34b/c rs4938723 polymorphism and cancer risk in codominant, dominant, recessive, overdominant, and allele inheritance model. However, in stratified analysis by cancer types, the rs4938723 polymorphism significantly increased the risk of gastrointestinal cancer, hepatocellular carcinoma. In addition, the rs4938723 polymorphism was associated with decreased risk of esophageal squamous cell carcinoma, colorectal cancer, and acute lymphoblastic leukemia. The findings did not support an association between rs4938723 variant and digestive tract as well as gastric cancer. In summary, the findings of this meta-analysis indicated that the miR-34b/c rs4938723 polymorphism might be associated with some cancer development. Larger and well-designed studies are necessary to estimate this association in detail.     

Association between the flap endonuclease 1 gene polymorphisms and cancer susceptibility: An updated meta-analysis

Flap endonuclease 1 (FEN1) has emerged as an important enzyme in the maintenance of genomic instability and preventing carcinogenesis. The relationship between FEN1 −69G>A (rs174538)+4150G>T (rs4246215) polymorphisms and cancer susceptibility has been reported; however, results were inconclusive. In the present study, a meta-analysis of data from eligible reports was carried out to summarize the possible relationship between FEN1 polymorphisms and cancer risk. A total of 11 articles, including 20 studies with 7366 cases and 9028 controls and 18 studies with 6649 cases and 8325 controls for FEN1 rs174538 and FEN1 rs4246215 polymorphisms, respectively, were recruited for meta-analysis. Overall, meta-analyses showed that FEN1 rs174538 and rs4246215 polymorphisms are significantly associated with the decreased risk of cancer. The stratified analysis proposed that both variants were associated with protection against gastrointestinal cancer, breast cancer, hepatocellular cancer, esophageal cancer, gastric cancer, colorectal cancer, and lung cancer. In conclusion, this meta-analysis revealed an association between FEN1 polymorphisms and cancer risk. Additional studies in a larger study population that include subjects from a variety of ethnicities are warranted to further verify our findings.     

Association between ATM polymorphisms and cancer risk: a meta-analysis

To date, epidemiological studies have assessed the association between Ataxia-telangiectasia mutated (ATM) gene polymorphisms and cancer risk, including lung cancer, breast cancer, glioma and pancreatic cancer. However, the results of these studies remain controversial. We aimed to examine the associations between two SNPs (rs664143 and rs664677) and cancer risk by conducting a meta-analysis of case–control studies. A total of 12 publications were included in this meta-analysis, 8 for rs664143 and 7 for rs664677. Overall, rs664143 heterozygote carriers turned out to be associated with cancer risk (OR = 1.18, 95% CI 1.02–1.36). In the subgroup analysis by cancer type, we observed that the ATM rs664143 polymorphism was significantly associated with lung cancer risk (GA vs. GG: OR = 1.48, 95% CI 1.18–1.85, AA vs. GG: OR = 1.51, 95% CI 1.18–1.93) and rs664677 polymorphism was associated with decreased lung cancr risk and increased breast cancer risk (for lung cancer: TC vs. TT: OR = 0.76, 95% CI 0.62–0.92, CC vs. TT: OR = 0.80, 95% CI 0.64–0.99 and for breast cancer: TC vs. TT: OR = 1.42, 95% CI 1.17–1.73, CC vs. TT: OR = 1.51, 95% CI 1.21–1.87). In the subgroup analysis by region, we also observed that individuals with ATM rs664143 GA or AA genotype had an obvious increased cancer risk among Asian people (GA vs. GG: OR = 1.40, 95% CI 1.20–1.63, AA vs. GG: OR = 1.37, 95% CI 1.16–1.62). In conclusion, ATM rs664143 polymorphism was associated with cancer susceptibility. ATM rs664143 polymorphism was significantly associated with lung cancer risk. ATM rs664677 polymorphism was associated with decreased lung cancer risk as well as increased breast cancer risk.     

The TLR9 Gene Polymorphisms and the Risk of Cancer: Evidence from a Meta-Analysis

Background

Growing studies have revealed the association between polymorphisms in the Toll-like receptor 9 (TLR9) and susceptibility to cancer, however, the results remained inconsistent.

Methodology/Principal Findings

To assess the effect of three selected SNPs (rs352140, rs5743836 and rs187084) in TLR9 on cancer, we performed a meta-analysis based on 11 case-control studies, including a total of 6,585 cancer cases and 7,506 controls. Summary odds ratios (OR) and corresponding 95% confidence intervals (CIs) for polymorphisms in TLR9 and cancer risk were estimated. Our meta-analysis indicated that rs352140 was associated with an increased cancer risk, especially in Caucasian. However, no significantly increased cancer risk was detected to be associated with rs187084 and rs5743836 either the overall or subgroup estimation.

Conclusions

These meta-analysis results indicate that polymorphisms in TLR9 may play a role in cancer development.     

Has-miR-146a polymorphism (rs2910164) and cancer risk: a meta-analysis of 19 case–control studies

Epidemiological studies have evaluated the association between has-miR-146a polymorphism (rs2910164) and cancer risk. However, published data are still inconclusive. Here, we performed a meta-analysis to assess the relationship between has-miR-146a polymorphism (rs2910164) and cancer susceptibility until May 8, 2010. Nineteen published case–control studies including a total of 10,496 cases and 12,885 controls were acquired. Overall, Increased cancer risk was found in domain model (OR = 1.18, 95% CI: 1.03–1.35) rather than in other genetic models when all studies were pooled into the meta-analysis. Stratified analysis shown that significant association between rs2910164 polymorphism and cancer susceptibility was present in Asians (OR = 1.14, 95% CI: 1.01–1.29 for CG vs. CC; OR = 1.19, 95% CI: 1.03–1.39 for GG + CG vs. CC), but not in Caucasian populations. In the subgroup analysis by cancer types, no significantly increased risk of breast, gastric, prostate or bladder cancer were found in any of the genetic models. In summary, this meta-analysis suggests that has-miR-146a polymorphism (rs2910164) is associated with increased cancer susceptibility in Asians. However, further well-designed studies with large sample size will be necessary to validate the risk identified in the current meta-analysis.     

Evaluation of serum Nestin and HOTAIR rs12826786 C>T polymorphism as screening tools for breast cancer in Egyptian women

BackgroundNestin is a neural stem cell protein that plays an important role in cancer stem cells (CSC) development and proliferation. It has been identified as a marker for newly formed endothelial cells and was shown to be preferentially expressed in basal and myoepithelial cells of the mammary gland. HOTAIR is long intergenic non-coding (linRNA) associated with tumorigenesis through promotion of epithelial-mesenchymal transition (EMT) and stemness as well. HOTAIR gene contains a functioning single nucleotide polymorphic site rs12826786 C>T that has been associated with several cancer types.MethodsWe evaluated serum Nestin and the HOTAIR rs12826786 C>T polymorphism in healthy Egyptian women and those with breast cancer as a possible screening tool to identify patients with breast cancer. Also, we tested the possible association of the two markers with each other and the aggressiveness of the disease.ResultsPatients with breast cancer had a median (Min-Max) of serum Nestin 31.3 (6.7-167.3 pg/mL), while control subjects had a median (Min-Max) of serum Nestin 42.3 (25.7-315.95) pg/mL. The best cut-off value for serum Nestin to differentiate normal subjects and patients with breast cancer was 39.9 pg/mL. This cut-off value had a diagnostic sensitivity of 84.8% and specificity of 65.1%. There was a significant difference in the distribution of different alleles in patients with breast cancer than normal subjects (P=0.039 Exact Fisher test). The breast cancer patients group had 23.9% CC, 52.1% CT, and 23.9% TT genotypes, respectively, while the control group had 46.9% CC, 42.8% CT, and 10.2% TT, respectively.ConclusionsA significantly low serum Nestin below 39.9 pg/mL and a higher percentage of the T/T homozygous variant allele of HOTAIR rs12826786 C>T were found in Egyptian patients with breast cancer. We suggest that the reported cut-off value of serum Nestin and the presence of C/T polymorphism can be used to assess the risk of females for developing breast cancer and might be of potential benefit in screening the disease. Larger studies in different ethnic groups are needed to confirm our findings.     

The genetic polymorphisms of intercellular cell adhesion molecules and breast cancer susceptibility: a meta-analysis

Intercellular cell adhesion molecules (ICAMs) genetic polymorphisms have been considered to be implicated in the development of breast cancer. However, the previous reports are conflicting. Therefore, we performed a meta-analysis to assess the association between three polymorphisms, including ICAM1 K469E, ICAM5 V301I, ICAM5 rs281439, and breast cancer risk. The meta-analyses are based on a literature search of PubMed, CNKI and VIP database up until August 2011. Pooled odds ratio (OR) with 95 % confidence interval (CI) was calculated using review manager 5.0.25 package. In total, five populations (2,020 cases and 2,012 controls) on ICAM1 K469E polymorphism, four populations (1,797 cases and 2,244 controls) on ICAM5 V301I polymorphism and five populations (2,744 cases and 3,006 controls) on ICAM5 rs281439 variant were included. Overall, the meta-analysis showed no significant association between ICAM1 K469E polymorphism and breast cancer risk. However, a significant association was observed for ICAM5 V301I polymorphism (VV vs. II: OR = 1.48, 95 % CI 1.04–2.13, P = 0.03; VV/VI vs. II: OR = 1.25, 95 % CI 1.05–1.48, P = 0.01). In addition, there was a significant association between ICAM5 rs281439 variant and breast cancer risk (GG vs. CC: OR = 1.31, 95 % CI 1.03–1.65, P = 0.03). Our meta-analysis suggests that the ICAM5 V301I and rs281439 variants but not ICAM1 K469E polymorphism may contribute to the susceptibility of breast cancer. Given the limited sample sizes, further investigation is needed.