Identification of serum biomarkers for premature ovarian failure.

Premature ovarian failure (POF) is defined when a female achieves menopause before the age of 40. Although many conditions are known to be causative for POF, the most common one is idiopathic. This study was undertaken to investigate the pathogenesis of POF using proteomic tools. Two-dimensional electrophoresis (2-DE) analysis was performed to screen for proteins differentially expressed in patients with POF. Using liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS), we identified 11 significant proteins differentially expressed in the serum of POF patients: 5 proteins with expression increased more than two folds, 5 proteins with expression decreased more than two folds, and 1 protein expressed specifically in the serum of patients with POF. The results of the 2-DE analysis were further validated by Western blotting and ELISA analyses, which 5 reproductive system-related proteins (Ceruloplasmin, Complement C3, Fibrinogen α, Fibrinogen ß, and SHBG) were selected. The different expression levels for these proteins were confirmed and demonstrated the possibility of using them as biomarkers to screen POF. These pre-clinical data provide plausible translational implications for targeting the pathogenesis of POF for each protein.

A transcriptional complex composed of ER(α), GATA3, FOXA1 and ELL3 regulates IL-20 expression in breast cancer cells.

Interleukin-20 (IL-20) is a member of the IL-10 family. IL-20 expression is regulated by a transcription elongation factor, Ell3, in estrogen receptor-positive (ER(+)) breast cancer cells. In this study, we demonstrated that ER(α), GATA3 and FOXA1 form a transcriptional complex with Ell3 to regulate IL-20 expression in ER(+) breast cancer cells. We also determined that GATA3 and FOXA1 share a binding site with ER(α) in the interleukin-20 promoter. Furthermore, we found that FOXA1 represses IL-20 expression, whereas GATA3 and ER(α) activate it. In addition, we demonstrated that Ell3 associates with ER(α) to increase its binding affinity to the IL-20 promoter, which may prevent FOXA1 binding to the same region of this promoter. Our results expand upon the current understanding of the regulatory mechanism of IL-20 in cancer.

Association between Interferon-Inducible Protein 6 (IFI6) Polymorphisms and Hepatitis B Virus Clearance.

CD8+ T cells are key factors mediating hepatitis B virus (HBV) clearance. However, these cells are killed through HBV-induced apoptosis during the antigen-presenting period in HBV-induced chronic liver disease (CLD) patients. Interferon-inducible protein 6 (IFI6) delays type I interferon-induced apoptosis in cells. We hypothesized that single nucleotide polymorphisms (SNPs) in the IFI6 could affect the chronicity of CLD. The present study included a discovery stage, in which 195 CLD patients, including chronic hepatitis B (HEP) and cirrhosis patients and 107 spontaneous recovery (SR) controls, were analyzed. The genotype distributions of rs2808426 (C > T) and rs10902662 (C > T) were significantly different between the SR and HEP groups (odds ratio [OR], 6.60; 95% confidence interval [CI], 1.64 to 26.52, p = 0.008 for both SNPs) and between the SR and CLD groups (OR, 4.38; 95% CI, 1.25 to 15.26; p = 0.021 and OR, 4.12; 95% CI, 1.18 to 14.44; p = 0.027, respectively). The distribution of diplotypes that contained these SNPs was significantly different between the SR and HEP groups (OR, 6.58; 95% CI, 1.63 to 25.59; p = 0.008 and OR, 0.15; 95% CI, 0.04 to 0.61; p = 0.008, respectively) and between the SR and CLD groups (OR, 4.38; 95% CI, 1.25 to 15.26; p = 0.021 and OR, 4.12; 95% CI, 1.18 to 14.44; p = 0.027, respectively). We were unable to replicate the association shown by secondary enrolled samples. A large-scale validation study should be performed to confirm the association between IFI6 and HBV clearance.

[Study on association between single nucleotide polymorphisms of MMP7, MMP8, MMP9 genes and development of gastric cancer and lymph node metastasis].

BACKGROUND/AIMS: Matrix metallopeptidase (MMP) is known to be involved in tumor invasion and metastasis of cancer. This study investigated the association of MMP7 rs11568818, MMP8 rs11225395, MMP9 rs17576 and rs2250889 with gastric cancer (GC) development and lymph node metastasis (LNM). METHODS: Samples were obtained from 326 chronic gastritis (CG) and 153 GC patients and genotyped by using the GoldenGate® method. Chi-square test was performed to identify the difference of allele distribution between each group (CG vs. GC; CG vs. with LNM GC). The associations of genotype with risk of GC and LNM were estimated by odds ratio and the 95% confidence interval was calculated by logistic regression adjusting for age and sex. RESULTS: The allele and genotype frequencies of MMP7 rs11568818, MMP8 rs11225395, MMP9 rs17576 and rs2250889 were not associated with the development of GC and LNM. CONCLUSIONS: In summary, MMP7 rs11568818, MMP8 rs11225395 MMP9 rs17576 and rs2250889 were not associated with the GC development and LNM in Korean population.

Development of a predictive model for type 2 diabetes mellitus using genetic and clinical data.

OBJECTIVES: Recent genetic association studies have provided convincing evidence that several novel loci and single nucleotide polymorphisms (SNPs) are associated with the risk of developing type 2 diabetes mellitus (T2DM). The aims of this study were: 1) to develop a predictive model of T2DM using genetic and clinical data; and 2) to compare misclassification rates of different models. METHODS: We selected 212 individuals with newly diagnosed T2DM and 472 controls aged in their 60s from the Korean Genome and Epidemiology Study. A total of 499 known SNPs from 87 T2DM-related genes were genotyped using germline DNA. SNPs were analyzed for significant association with T2DM using various classification algorithms including Quest (Quick, Unbiased, Efficient, Statistical tree), Support Vector Machine, C4.5, logistic regression, and K-nearest neighbor. RESULTS: We tested these models using the complete Korean Genome and Epidemiology Study cohort (n = 10,038) and computed the T2DM misclassification rates for each model. Average misclassification rates ranged at 28.2-52.7%. The misclassification rates for the logistic and machine-learning algorithms were lower than the statistical tree algorithms. Using 1-to-1 matched data, the misclassification rate of the statistical tree QUEST algorithm using body mass index and SNP variables was the lowest, but overall the logistic regression performed best. CONCLUSIONS: The K-nearest neighbor method exhibited more robust results than other algorithms. For clinical and genetic data, our "multistage adjustment" model outperformed other models in yielding lower rates of misclassification. To improve the performance of these models, further studies using warranted, strategies to estimate better classifiers for the quantification of SNPs need to be developed.

[Study on association between an H-RAS gene polymorphism and gastric cancer development].

BACKGROUND/AIMS: Oncogenic RAS gene mutations have been frequently observed in many tumor types, and their associations with various cancers were reported. This study was conducted to evaluate the association between H-RAS T81C polymorphism and gastric cancer development. METHODS: H-RAS T81C polymorphism was genotyped in 321 chronic gastritis (ChG) and 151 gastric cancer (GC) patients using GoldenGate Assay kit. Logistic regression analysis adjusted for age and gender was performed to identify the differences of genotype and allele distributions between the each group. RESULTS: All ChG and GC patients were in Hardy-Weinberg equilibrium. When the frequencies of H-RAS T81C genotype in each group were compared, the homozygous type of major allele TT was more frequent in GC group (62.9%) than ChG group (57.3%), while the frequencies of heterozygous type TC and homozygous type of minor allele CC were higher in ChG group than GC group (39.3% vs. 33.8%, 3.4% vs. 3.3%, respectively). In the results of logistic regression analyses adjusted for age and gender, the odds ratios were 0.845 (0.604-1.182), 0.799 (0.556-1.147), 0.741 (0.493-1.114) and 1.094 (0.366-3.270) for allele, codominant, dominant and recessive models, respectively. However, significant difference was not observed between two groups in any models. CONCLUSIONS: H-RAS T81C polymorphism was not associated with gastric cancer development in a Korean population.

Quantification of mitochondrial DNA using real-time polymerase chain reaction in patients with premature ovarian failure.

OBJECTIVE: To quantify mitochondrial DNA using real-time PCR in women with premature ovarian failure (POF) and a control group. DESIGN: Prospective study. SETTING: Genome Research Center for Reproductive Medicine and Infertility, Korea Ministry of Health & Welfare. PATIENT(S): Thrity patients with POF and 30 control individuals. INTERVENTION(S): The mitochondrial DNA content was quantified using real-time PCR. The effectiveness of the assay was determined by relative quantification using the comparative threshold cycle (CT) method. MAIN OUTCOME MEASURE(S): Relative quantification of mitochondrial DNA content. RESULT(S): The mitochondrial DNA content was significantly lower in the POF group than in the control group (0.58 +/- 0.38 vs. 1.15 +/- 0.67; P < .01). In both groups, there was a significant positive correlation between the mitochondrial DNA/28S rRNA ratio and mitochondrial DNA CT (control group: r = 0.774; P < .001; POF group: r = 0.556; P = .001) and a significant negative correlation between the mitochondrial DNA/28S rRNA ratio and 28S rRNA CT (control group: r = -0.677; P < .001; POF group: r = -0.627; P = .001). CONCLUSION(S): This study has established the clinical feasibility of quantifying amounts of mitochondrial DNA, relative to an internal standard, using real-time PCR. Further studies are warranted to elucidate the roles of apoptosis and mitochondrial function in the pathogenesis of POF.