Dataset Information

Genetic variability of ERCC1 genes in NER pathway influences the treatment outcome of gastric cancer.

ABSTRACT: We conducted a prospective study to analyze whether six SNPs in ERCC1 gene could serve as potential biomarkers for prognosis of gastric cancer. Between January 2010 and December 2012, 270 patients with pathologically proven gastric cancer and receiving platinum-based chemotherapy were recruited in our study. Genotyping of the ERCC1 rs11615, rs2298881, rs3212955, rs3212961, rs3212986 and rs735482 were carried out using the Sequenom MassARRAY platform. By logistic regression analysis, patients carrying the GT and TT genotypes of rs3212986 showed a significantly poorer response to chemotherapy than did those carrying the GG genotype, and the ORs (95% CI) were 0.47 (0.25-0.88) and 0.18 (0.08-0.41), respectively. By Cox proportional hazards models, the GT and TT genotypes of rs3212986 were correlated with increased risk of death when compared with the GG genotype, and the adjusted HRs (95% CIs) were 1.79 (1.01-3.16) and 2.57 (1.18-5.62), respectively. However, we did not find significant association between ERCC1 rs11615, rs2298881, rs3212955, rs3212961 and rs735482 and response to chemotherapy and overall survival in patients with gastric cancer. In conclusion, the results of the present retrospective study indicate that there is a significant difference in biological behavior between ERCC1 rs3212986 gene polymorphism and treatment outcome of gastric cancer.

SUBMITTER: Bai Y

PROVIDER: S-EPMC4680487 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Genetic variability of ERCC1 genes in NER pathway influences the treatment outcome of gastric cancer.

Bai Yu Y Wang Lei L Li Guangjun G Fang Xiangjie X Li Yan Y Yang Shujuan S

International journal of clinical and experimental pathology 20151001 10

We conducted a prospective study to analyze whether six SNPs in ERCC1 gene could serve as potential biomarkers for prognosis of gastric cancer. Between January 2010 and December 2012, 270 patients with pathologically proven gastric cancer and receiving platinum-based chemotherapy were recruited in our study. Genotyping of the ERCC1 rs11615, rs2298881, rs3212955, rs3212961, rs3212986 and rs735482 were carried out using the Sequenom MassARRAY platform. By logistic regression analysis, patients car ...[more]

PMID: 26722542

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Project description:Heart rate variability (HRV) is the variation of cardiac inter-beat intervals over time resulting largely from the interplay between the sympathetic and parasympathetic branches of the autonomic nervous system. Individual differences in HRV are associated with emotion regulation, personality, psychopathology, cardiovascular health, and mortality. Previous studies have shown significant heritability of HRV measures. Here we extend genetic research on HRV by investigating sex differences in genetic underpinnings of HRV, the degree of genetic overlap among different measurement domains of HRV, and phenotypic and genetic relationships between HRV and the resting heart rate (HR). We performed electrocardiogram (ECG) recordings in a large population-representative sample of young adult twins (n=1060 individuals) and computed HRV measures from three domains: time, frequency, and nonlinear dynamics. Genetic and environmental influences on HRV measures were estimated using linear structural equation modeling of twin data. The results showed that variability of HRV and HR measures can be accounted for by additive genetic and non-shared environmental influences (AE model), with no evidence for significant shared environmental effects. Heritability estimates ranged from 47 to 64%, with little difference across HRV measurement domains. Genetic influences did not differ between genders for most variables except the square root of the mean squared differences between successive R-R intervals (RMSSD, higher heritability in males) and the ratio of low to high frequency power (LF/HF, distinct genetic factors operating in males and females). The results indicate high phenotypic and especially genetic correlations between HRV measures from different domains, suggesting that >90% of genetic influences are shared across measures. Finally, about 40% of genetic variance in HRV was shared with HR. In conclusion, both HR and HRV measures are highly heritable traits in the general population of young adults, with high degree of genetic overlap across different measurement domains.

Dataset Information

Genetic variability of ERCC1 genes in NER pathway influences the treatment outcome of gastric cancer.

Publications

Genetic variability of ERCC1 genes in NER pathway influences the treatment outcome of gastric cancer.

Similar Datasets

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