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Abstract Background The aim of this study was to investigate the role of TNF genetic variants and the combined effect between TNF gene and cigarette smoking in the development of gastric cancer in the Korean population. Methods We selected 84 incident gastric cancer cases and 336 matched controls nested within the Korean Multi-Center Cancer Cohort. Six SNPs on the TNF gene, TNF-α-238 G/A, -308 G/A, -857 C/T, -863 C/A, -1031 T/C, and TNF-β 252 A/G were genotyped. The ORs (95% CIs) were calculated using unconditional logistic regression model to detect each SNP and haplotype-pair effects for gastric cancer. The combined effects between the TNF gene and smoking on gastric cancer risk were also evaluated. Multi dimensionality reduction (MDR) analyses were performed to explore the potential TNF gene-gene interactions. Results TNF-α-857 C/T containing the T allele was significantly associated with an increased risk of gastric cancer and a linear trend effect was observed in the additive model (OR = 1.6, 95% CI 1.0–2.5 for CT genotype; OR = 2.6, 95% CI 1.0–6.4 for TT genotype). All haplotype-pairs that contained TCT or CCC of TNF-α-1031 T/C, TNF-α-863 C/A, and TNF-α-857 C/T were associated with a significantly higher risk for gastric cancer only among smokers. In the MDR analysis, regardless of smoking status, TNF-α-857 C/T was included in the first list of SNPs with a significant main effect. Conclusion TNF-α-857 C/T polymorphism may play an independent role in gastric carcinogenesis and the risk for gastric cancer by TNF genetic effect is pronounced by cigarette smoking.

Objectives: To evaluate whether genes that encode CagA-interacting molecules (SRC, PTPN11, CRK, CRKL, CSK, c-MET and GRB2) are associated with gastric cancer risk and whether an interaction between these genes and phytoestrogens modify gastric cancer risk. Methods: In the discovery phase, 137 candidate SNPs in seven genes were analyzed in 76 incident gastric cancer cases and 322 matched controls from the Korean Multi-Center Cancer Cohort. Five significant SNPs in three genes (SRC, c-MET and CRK) were re-evaluated in 386 cases and 348 controls in the extension phase. Odds ratios (ORs) for gastric cancer risk were estimated adjusted for age, smoking, H. pylori seropositivity and CagA strain positivity. Summarized ORs in the total study population (462 cases and 670 controls) were presented using pooled- and meta-analysis. Plasma concentrations of phytoestrogens (genistein, daidzein, equol and enterolactone) were measured using the time-resolved fluoroimmunoassay. Results: SRC rs6122566, rs6124914, c-MET rs41739, and CRK rs7208768 showed significant genetic effects for gastric cancer in both the pooled and meta-analysis without heterogeneity (pooled OR = 3.96 [95% CI 2.05-7.65], 1.24 [95% CI = 1.01-1.53], 1.19 [95% CI = 1.01-1.41], and 1.37 [95% CI = 1.15-1.62], respectively; meta OR = 4.59 [95% CI 2.74-7.70], 1.36 [95% CI = 1.09- 1.70], 1.20 [95% CI = 1.00-1.44], and 1.32 [95% CI = 1.10-1.57], respectively). Risk allele of CRK rs7208768 had a significantly increased risk for gastric cancer at low phytoestrogen levels (p interaction<0.05). Conclusions: Our findings suggest that SRC, c-MET and CRK play a key role in gastric carcinogenesis by modulating CagA signal transductions and interaction between CRK gene and phytoestrogens modify gastric cancer risk. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to evaluate whether clinical test values from different laboratories in the Korean Genome and Epidemiology Study (KoGES) can be integrated through a statistical adjustment algorithm with appropriate intra- and inter-laboratory reliability.Methods: External quality control data were obtained from the Korean Society for Laboratory Medicine and quadruplicated standardized serological samples (N=3,200) were manufactured in order to check the intra- and inter-laboratory reliability for aspartic acid transaminase (AST), alanine transaminase (ALT), gamma-glutamyl transpeptidase (γ-GTP), blood urea nitrogen (BUN), creatinine, uric acid (UA), fasting blood sugar (FBS), cholesterol, and triglyceride (TG). As an index of inter- and intra-rater reliability, Pearson's correlation coefficient, intraclass correlation coefficients and kappa statistics were estimated. In addition, to detect the potential for data integration, we constructed statistical compensation models using linear regression analysis with residual analysis, and presented the R-square values.Results: All correlation coefficient values indicated good intra- and inter-laboratory reliability, which ranged from 0.842 to 1.000. Kappa coefficients were greater than 0.75 (0.75-1.00). All of the regression models based on the trial results had strong R-square values and zero sums of residuals. These results were consistent in the regression models using external quality control data.Conclusion: The two laboratories in the KoGES have good intra- and inter-laboratory reliability for ten chemical test values, and data can be integrated through algorithmic statistical adjustment using regression equations. [ABSTRACT FROM AUTHOR]

The article discusses a study to determine if a relationship exists between consumption of soybean products and gastric cancer. It states that previous studies on the matter were flawed, due to errors in questionnaires and degree of bias by researchers. Information was obtained from the Korean Multicenter Cancer Cohort, and relied on 131 cases compared with a control group of 393 people. Research found that high amounts of isoflavones found in soybean food products actually decreased the risk of gastric cancer, showing it to be a healthy food.

Background: The aim of this study was to investigate the role of the estrogen receptor 1 (ESR1) genetic polymorphisms for early menopause that was classified as premature ovarian failure (POF) and early menopause (EM) and to examine whether the associations of ESR1 genetic variants are different for POF and EM. Methods: We selected 100 POF cases and matched 100 EM cases and 200 normal menopause (NM) controls from the Korean Multi-Center Cohort. Among them, we restricted idiopathic POF and EM cases vs NM controls by excluding POF/EM cases with medical/surgical causes. The XbaI (rs9340799) and PvuII (rs2234693) in the ESR1 gene were genotyped. The single-nucleotide polymorphism (SNP) and haplotype effects were analyzed by multivariate logistic regression and haplotype analysis. Also nominal polytomous logistic regression was used to find whether ESR1 genetic variants are differently associated with POF and EM. Results: The global p values for idiopathic POF and EM were 0.08 and 0.39 (SNP-based), and <0.001 and 0.12 (haplotype-based), respectively. The XbaI genetic variant containing the X allele was marginally significantly associated with a reduced risk of idiopathic POF (OR = 0.6, 95% CI 0.3-1.0). The P-x haplotype and diplotypes significantly decreased the risk of idiopathic POF (OR = 0.5, 95% CI 0.2-0.9; OR = 0.4, 95% CI 0.2-0.9, respectively). In contrast from POF, the P-x haplotypes and diplotypes insignificantly increased the risk for both idiopathic EM ( ppolytomous = 0.009 for P-x haplotype; ppolytomous = 0.02 for P-x diplotypes). Conclusion: Our results suggest that the ESR1 gene including PvuII and XbaI polymorphisms may modify the risk of idiopathic premature ovarian failure (POF) but not idiopathic early menopause (EM) risk. [ABSTRACT FROM AUTHOR]