Two variants of the human hepatocellular carcinoma-associated HCAP1 gene and their effect on the growth of the human liver cancer cell line Hep3B

GEMIN4, a potential therapeutic targets for patients with basal-like subtype breast cancer

BACKGROUND

Basal-like breast cancer (BLBC) takes up about 10-20% of all breast cancer(BC), what's more, BLBC has the lowest survival rate among all BC subtypes because of lacks of efficient treatment methods. We aimed to explore the molecules that can be used as diagnostic maker for BLBC at early stage and provide optimized treatment strategies for BLBC patients in this study.

METHODS

Apply weighted gene co-expression network analysis (WGCNA) to identify gene modules related to BLBC;The functional enrichment of candidate genes related to BLBC in the red module of Go data package and KEGG analysis;Overlapping cross analysis of URGs and WGCNA to identify candidate genes in each BC subtype;Divide BCBL patients into high-risk and low-risk groups, and analyze the two groups of overall survival (OS) and relapse free survival (RFS);Screening of GEMIN4 dependent cell lines; QRT PCR was used to verify the expression of GEMIN4 transfected with siRNA; CCK8 was used to determine the effect of GEMIN4 on cell viability; Positive cell count detected by BrdU staining;GO and KEGG enrichment analysis of GEMIN4.

RESULTS

The "red module" has the highest correlation with BLBC, with 913 promising candidate genes identified from the red module;913 red module candidate genes related to BLBC participated in multiple GO terms, and KEGG enrichment analysis results mainly enriched in estrogen signaling pathways and pathways in cancer;There are 386 overlapping candidate genes among the 913 "red module" genes identified by 1893 common URG and WGCNA;In BLBC patients, 9 highly expressed genes are associated with OS. Five highly expressed genes are associated with RFS. Kaplan Meier survival analysis suggests that high GEMIN4 expression levels are associated with poor prognosis in BLBC patients;The GEMIN4 gene dependency score in HCC1143 and CAL120 cell lines is negative and low; Si-GEMIN4-1 can significantly reduce the mRNA expression of GEMIN4; Si-GEMIN4 can inhibit cell viability; Si-GEMIN4 can reduce the number of positive cells;GO enrichment analysis showed that GEMIN4 is associated with DNA metabolism processes and adenylate binding; KEGG pathway enrichment analysis shows that GEMIN4 is related to ribosome biogenesis in eukaryotes.

CONCLUSION

We hypothesized that GEMIN4 may be the potential target for the treatment of BLBC.

Association of GEMIN4 gene polymorphisms with the risk of colorectal cancer in the Polish population

<br><b>Aim:</b> Gem-associated protein 4 (GEMIN4), a member of the GEMIN gene family, is a key compound of the regulating factors responsible for miRNA biogenesis. Genetic variability within this gene can alter the risk for development of colorectal cancer (CRC) as was shown for other genes involved in miRNA biogenesis. Therefore, presented study was intended to identify genetic variants of three single nucleotide polymorphisms (SNPs) in the GEMIN4 gene (rs1062923, rs2740348 and rs910925) and their relationship with CRC.</br> <br><b>Methods:</b> The study comprised 203 patients and 179 age and sex matched controls. Genotyping of GEMIN4 gene variants was done using Taqman® assay. The association of GEMIN4 variants with CRC was done by odds ratio analysis. Haplotype analysis was done to see the combined effect of studied variants on CRC.</br> <br><b>Results:</b> Patients carrying all variant genotypes for GEMIN4 rs1062923 (odds ratio [OR]= 0.205; 95% confidence interval [CI] = 0.1034–0.4065 for CC variant and [OR] = 0.1436; [CI] = 0.0869–0.2373 for CT variant, respectively) and GEMIN4 rs2740348 (odds ratio [OR] = 0.4498; 95% confidence interval [CI] = 0.2342–0.8637 for CC variant and [OR] = 0.3986; [CI] = 0.2043–0.7776 for CG variant, respectively) showed significant association in lower occurrence of cancer, whereas in case of GEMIN4 G/C rs910925 variant genotype, no significance correlation was found.</br> <br><b>Conclusion:</b> Our study gives a substantive support for the association between the GEMIN4 gene variants/miRNA biogenesis and CRC risk.</br>

Anomalies in MiRNAs Machinery Gene, GEMIN-4 Variants Suggest Renal Cell Carcinoma Risk: A Small Experimental Study from North India

GEMIN4 is a member of the GEMIN gene family which is involved in multiple pathologies including cancer. It is located on Chr17p13.3, the most notorious chromosome and a hotspot for various carcinomas. We therefore intend to find genetic variants of GEMIN4 gene associated with renal cell carcinoma risk (RCC). This study comprised 100 patients and 225 controls. Genotyping of GEMIN4 gene variants was done using Taqman^® assay. The association of GEMIN4 variants and risk prediction of RCC was done by statistical analysis. Haplotype analysis was done to see the combined effect of variants on RCC. Patients carrying variant genotype, CC of GEMIN4 T/C rs7813 showed significant association whereas in case of GEMIN4 G/C rs910925 variant genotype, CC significant risk was found. GEMIN4 rs7813 T/C variant genotype, CC showed risk with smoking (p = 0.034). Our study gives a substantive support for the association between the GEMIN4 gene variants and RCC risk.

Correlation analysis between SNPs in microRNA-machinery genes and tuberculosis susceptibility in the Chinese Uygur population

Tuberculosis (TB) is an infectious disease caused by a mycobacterial infection, with high morbidity and mortality worldwide. The pathogenesis of TB is still unclear; however, a growing body of evidence suggests that host genetic factors may play important roles in susceptibility to TB, and different gene polymorphisms in different ethnic and genetic backgrounds may lead to different effects. In view of the above theories, our research group used bioinformatics to screen for 12 single nucleotide polymorphisms (SNPs), including rs1045481, rs1045491, rs2740349, rs10719, rs642321, rs3744741, rs7813, rs3742330, rs3757, rs14035, rs720012, and rs4961280, which are derived from 6 main genes (i.e., GEMIN4, DICER1, DROSHA, DGCR8, AGO2, and RAN) acting in the microRNA-machinery pathway. We then analyzed the correlations between TB patients of Uygur in Xinjiang China and the above SNPs using a case-control study. The results showed that the genotypic distributions of rs720012 (from gene DGCR8) and rs4961280 (from gene AGO2) were not in accordance with the Hardy-Weinberg equilibrium (P < .05), so they were deleted. Subjects carrying the rs3742330 AG/GG genotype, rs1045481 GA genotype, rs1045491 CT genotype, and rs7813 AG genotype, respectively, had an increased risk of TB than individuals carrying rs3742330 AA genotype, rs1045481 GG/AA genotype, rs1045491 CC/TT genotype, and rs7813 AA/GG genotype between different groups. Expression quantitative trait loci analysis found that rs3744741 and rs2740349 from gene GEMIN4 had a regulatory effect, while rs3742330 from gene DICER1 had a reverse regulatory effect. Finally, according to the results of Linkage Disequilibrium between SNPs, the haplotype analysis showed that the haplotype of GCTAC from gene GEMIN4 had statistical differences when compared with active and inactive TB. The current experimental results provide a direction for our future research, and the research team will conduct more in-depth studies on the correlation between miRNA and TB.

Association of GEMIN4 gene polymorphism and the risk of cancer: a meta-analysis

Gem-associated protein 4 (GEMIN4) gene is a key regulator for the miRNA biogenesis processes. Recent studies have demonstrated that some single-nucleotide polymorphisms (SNPs) in GEMIN4 gene are associated with the risk of cancer, but the results are still controversial. Therefore, we conducted a meta-analysis to analyze the association between three major SNPs (rs2740348, rs7813, and rs3744741) in the GEMIN4 gene and the risk of cancer. Relevant articles were searched in Web of Science, PubMed, Cochrane Library, Chinese Wan Fang, and Chinese National Knowledge Infrastructure databases. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated to quantitatively estimate the association. Publication bias and sensitivity analyses were undertaken to evaluate the stability of the results. Overall, the pooled results showed that rs2740348 involving 3,604 cases and 3,770 controls was significantly associated with increased cancer risk (GG vs GC/CC: OR =1.16, 95% CI =1.05-1.29, P=0.004) and rs7813 involving 4,729 cases and 4,562 controls was also related to increased cancer risk (TT vs TC/CC: OR =1.12, 95% CI =1.03-1.22, P=0.009). However, there was no significant association between rs3744741 and cancer risk under overall genetic models. In conclusion, our study has demonstrated that rs2740348 and rs7813 are associated with increased risk of cancer, and they may be new biomarkers for predicting cancer risk.

Bayesian Survival Analysis of High-Dimensional Microarray Data for Mantle Cell Lymphoma Patients

BACKGROUND

Survival time of lymphoma patients can be estimated with the help of microarray technology. In this study, with the use of iterative Bayesian Model Averaging (BMA) method, survival time of Mantle Cell Lymphoma patients (MCL) was estimated and in reference to the findings, patients were divided into two high- risk and low-risk groups.

MATERIALS AND METHODS

In this study, gene expression data of MCL patients were used in order to select a subset of genes for survival analysis with microarray data, using the iterative BMA method. To evaluate the performance of the method, patients were divided into high-risk and low-risk based on their scores. Performance prediction was investigated using the log-rank test. The bioconductor package "iterativeBMAsurv" was applied with R statistical software for classification and survival analysis.

RESULTS

In this study, 25 genes associated with survival for MCL patients were identified across 132 selected models. The maximum likelihood estimate coefficients of the selected genes and the posterior probabilities of the selected models were obtained from training data. Using this method, patients could be separated into high-risk and low-risk groups with high significance (p<0.001).

CONCLUSIONS

The iterative BMA algorithm has high precision and ability for survival analysis. This method is capable of identifying a few predictive variables associated with survival, among many variables in a set of microarray data. Therefore, it can be used as a low-cost diagnostic tool in clinical research.

Association between SNPs in miRNA-machinery genes and chronic hepatitis B in the Chinese Han population

Single nucleotide polymorphisms (SNPs) in miRNA-machinery genes can influence their generation and maturation, then expression and structure. To explore the relationship between three SNPs (rs3757 in DGCR8, rs636832 in AGO1, rs7813 in GEMIN4) in miRNA-machinery genes and chronic hepatitis B, we genotyped the SNPs by high resolution melting method (HRM) in a case-control study of 332 unrelated chronic hepatitis B patients and 352 unrelated healthy controls in Western China. Interestingly, the rs636832 was significantly associated with the susceptibility of CHB (genotype: AA/GA/GG: p=0.010; allele: A/G: OR=0.727, 95% CI=0.575-0.920, p=0.008). The minor allele A of rs636832 was significantly associated with a decreased risk of CHB. Additionally, the dominant model AG+GG vs. AA showed a risk of 1.442-fold (p=0.018) with CHB. Further exploration for the association between rs636832 and HBV-DNA load in 329 cases showed no significant difference (genotype: p=0.321; allele: p=0.148). Neither did the association between rs636832 and the status of HBsAg and HbeAg (HBsAg: genotype p=0.337, allele p=0.436; HBeAg: genotype p=0.861, allele p=0.822). Our study first provided the evidence that rs636832 in AGO1 was associated with chronic HBV infection susceptibility in Chinese Han population. Further epidemiological and functional studies in larger populations are warranted to verify our results.

Genetic variants in the microRNA machinery gene GEMIN4 are associated with risk of prostate cancer: a case-control study of the Chinese Han population

Single-nucleotide polymorphisms located in the microRNA biogenesis pathway could alter the risk for developing prostate cancer. The present study was intended to identify common genetic variants responsible for prostate cancer susceptibility in the GEMIN4 gene. The high-resolution melting method was used to genotype seven polymorphisms (rs7813, rs4968104, rs3744741, rs2740348, rs1062923, rs910925, and rs910924) in the GEMIN4 gene in 300 prostate cancer patients and 244 matched controls. The encouraging discovery in this study was in the rs2740348. Patients carrying the variant heterozygote GC genotype in the rs2740348 were at a 36% decreased risk of prostate cancer (odds ratio [OR] = 0.64; 95% confidence interval [CI] = 0.42, 0.99). Similarly, this variant allele carrier showed significant risk for prostate cancer (OR = 0.64). In addition, subjects carrying the homozygote TT genotype in the rs7813 had a significantly increased risk of prostate cancer (OR = 2.53, 95% CI = 1.07, 6.28). Two common haplotypes were found to be associated with decreased risk of prostate cancer. In the subgroup analysis, higher risk of more severity of prostate cancer (clinical stage III and IV) was observed in individuals with the rs7813 TT genotype (OR = 2.64, 95% CI = 1.02, 7.64), while lower risk of more severity of prostate cancer was observed in individuals with the rs3744741 T allele (OR = 0.69, 95% CI = 0.50, 0.96). Overall, our study provides substantial support for the association between the GEMIN4 gene and the risk of prostate cancer.

Common genetic polymorphisms of microRNA biogenesis pathway genes and risk of breast cancer: a case-control study in Korea

Recent compelling evidence indicates that mutation, aberrant expression, and dysregulation of microRNA (miRNA) biogenesis are implicated in cancer development and progression. Based on the important role of miRNA biogenesis pathway in carcinogenesis, we hypothesized that genetic variations in this pathway genes may play a role as susceptibility factors for breast cancer. To test this hypothesis, we investigated the associations between 41 single nucleotide polymorphisms (SNPs) in 14 genes involved in miRNA biogenesis pathway and breast cancer risk in a case-control study of 559 Korean breast cancer cases and 567 controls frequency-matched by age. In all women, 3 SNPs (AGO1 rs595055, AGO2 rs3864659, and p68 rs1991401) were significantly associated with breast cancer risk. In stratified analysis by menopausal status, altered risk associations were observed for 7 SNPs in postmenopausal breast cancer. When subjects were grouped by the number of high-risk genotypes, we found a progressive increase in gene-dosage effect (P (trend) = 9.46E-7). The protective effects of AGO2 rs3864659 and HIWI rs11060845 were more pronounced in progesterone receptor-positive (PR+) cancer than in progesterone receptor-negative (PR-) cancer (odds ratio (OR), 0.50; 95% confidence interval (CI), 0.30-0.84 vs. OR, 0.94; 95% CI, 0.60-1.84; P (heterogeneity) = 0.04 and OR, 0.57; 95% CI, 0.37-0.88 vs. OR, 0.97; 95% CI, 0.65-1.44; P (heterogeneity) = 0.02, respectively), and the DROSHA rs644236 had stronger association with estrogen receptor-negative (ER-) cancer than for estrogen receptor-positive (ER+) cancer (OR, 1.39; 95% CI, 1.08-1.78 vs. OR, 1.05; 95% CI, 0.85-1.29; P (heterogeneity) = 0.04). Our results suggest that genetic variants in miRNA biogenesis pathway genes may be associated with breast cancer risk, and the modifiable effects might be different according to the menopausal status and hormone receptor status.

Genetic variations in microRNA-related genes are associated with survival and recurrence in patients with renal cell carcinoma

We took a polygenic approach to evaluate the effects of 41 potentially functional single-nucleotide polymorphisms (SNPs) in microRNAs (miRNAs)-related genes on survival and recurrence among renal cell carcinoma (RCC) patients. During a median follow-up of 21.8 months, among 316 RCC patients, 64 died and 56 developed recurrence. In single-SNP analysis, we identified seven SNPs significantly associated with RCC survival and five SNPs with recurrence. The most significant associations were SNPs in GEMIN4 with the variant alleles of both rs7813 and rs910925 associated with 1.74-fold [95% confidence interval (CI) = 1.15-2.62] increased risk of death, whereas the variant allele of rs3744741 conferred a decreased risk of death [hazard ratio (HR) = 0.39; 95% CI = 0.19-0.77]. Several SNPs belonging to the pre-miRNA and were identified to be significantly associated with RCC recurrence. Haplotypes of DICER and DROSHA were also associated with altered patient survival and recurrence. More importantly, we observed cumulative effects of multiple SNPs on RCC survival. Compared with subjects carrying zero to two unfavorable genotypes, those carrying three to five and six and more unfavorable genotypes had an increased risk of death with a HR of 2.49 (95% CI = 1.24-5.00) and 6.66 (95% CI = 2.49-17.86), respectively, with significant dose-response trend (P for trend<0.001). As the first study of miRNA-related genetic polymorphisms on RCC clinical outcome, our results strongly suggested that miRNA-related SNPs may impact the recurrence and survival in RCC patients. Future investigation in larger populations and functional characterizations are necessary to validate these results.

Black carbon exposures, blood pressure, and interactions with single nucleotide polymorphisms in MicroRNA processing genes

BACKGROUND

Black carbon (BC) is a marker of traffic pollution that has been associated with blood pressure (BP), but findings have been inconsistent. MicroRNAs (miRNAs) are emerging as key regulators of gene expression, but whether polymorphisms in genes involved in processing of miRNAs to maturity influence susceptibility to BC has not been elucidated.

OBJECTIVES

We investigated the association between BC and BP, as well as potential effect modification by single nucleotide polymorphisms (SNPs) in miRNA processing genes.

METHODS

Repeated measures analyses were performed using data from the VA Normative Aging Study. Complete covariate data were available for 789 participants with one to six study visits between 1995 and 2008. In models of systolic and diastolic BP, we examined SNP-by-BC interactions with 19 miRNA-related variants under recessive models of inheritance. Mixed-effects models were adjusted for potential confounders including clinical characteristics, lifestyle, and meteorologic factors.

RESULTS

A 1-SD increase in BC (0.415 microg/m(3)) was associated with 3.04 mmHg higher systolic (95% confidence interval (CI), 2.29-3.79) and 2.28 mmHg higher diastolic BP (95% CI, 1.88-2.67). Interactions modifying BC associations were observed with SNPs in the DICER, GEMIN4, and DiGeorge critical region-8 (DGCR8) genes, and in GEMIN3 and GEMIN4, predicting diastolic and systolic BP, respectively.

CONCLUSIONS

We observed evidence of effect modification of the association between BP and 7-day BC moving averages by SNPs associated with miRNA processing. Although the mechanisms underlying these associations are not well understood, they suggest a role for miRNA genesis and processing in influencing BC effects.

Genetic variation in microRNA networks: the implications for cancer research

Many studies have highlighted the role that microRNAs have in physiological processes and how their deregulation can lead to cancer. More recently, it has been proposed that the presence of single nucleotide polymorphisms in microRNA genes, their processing machinery and target binding sites affects cancer risk, treatment efficacy and patient prognosis. In reviewing this new field of cancer biology, we describe the methodological approaches of these studies and make recommendations for which strategies will be most informative in the future.

Single nucleotide polymorphisms of microRNA machinery genes modify the risk of renal cell carcinoma

PURPOSE

MicroRNAs (miRNA) are a class of small noncoding RNA molecules that have been implicated in a wide variety of basic cellular functions through posttranscriptional regulations on their target genes. Compelling evidence has shown that miRNAs are involved in cancer initiation and progression. We hypothesized that genetic variations of the miRNA machinery genes could be associated with the risk of renal cell carcinoma.

EXPERIMENTAL DESIGN

We genotyped 40 single nucleotide polymorphisms (SNP) from 11 miRNA processing genes (DROSHA, DGCR8, XPO5, RAN, DICER1, TARBP2, AGO1, AGO2, GEMIN3, GEMIN4, HIWI) and 15 miRNA genes in 279 Caucasian patients with renal cell carcinoma and 278 matched controls.

RESULTS

We found that two SNPs in the GEMIN4 gene were significantly associated with altered renal cell carcinoma risks. The variant-containing genotypes of Asn929Asp and Cys1033Arg exhibited significantly reduced risks, with odds ratios (OR) of 0.67 [95% confidence interval (95% CI), 0.47-0.96] and 0.68 (95% CI, 0.47-0.98), respectively. Haplotype analysis showed that a common haplotype of GEMIN4 was associated with a significant reduction in the risk of renal cell carcinoma (OR, 0.66; 95% CI, 0.45-0.97). We also conducted a combined unfavorable genotype analysis including five promising SNPs showing at least a borderline significant risk association. Compared with the low-risk reference group with one unfavorable genotype, the median-risk and high-risk groups exhibited a 1.55-fold (95% CI, 0.96-2.50) and a 2.49-fold (95% CI, 1.58-3.91) increased risk of renal cell carcinoma, respectively (P for trend < 0.001).

CONCLUSIONS

Our results suggested that genetic polymorphisms of the miRNA-machinery genes may affect renal cell carcinoma susceptibility individually and jointly.