Association between FAS-1377 G/A polymorphism and susceptibility to gastric cancer: evidence from a meta-analysis

Genomic variants in Fas-mediated apoptosis pathway predict a poor response to Platinum-based Chemotherapy for Chinese Gastric Cancer Patients

Platinum-based adjuvant chemotherapy is very common for gastric cancer (GC) patients, but the chemotherapy sensitivity is very heterogeneous. The genomic variants and the gene-gene interactions involved in Fas-mediated apoptosis pathway including Fas (FAS 1377 G > A and 670 A > G), FasL (FASL 844 C > T) and caspase-8 (CASP8 -652 6N ins > del or I > D), may paly vital roles in the response to platinum-based treatment. In our investigation, 662 stage II-III postoperative GC patients were enrolled between 1998 and 2006. 261 patients accepted platinum-based regimens and the remaining 401 were not. The log rank tests, Kaplan Meier plots, Pearson chi-square tests, Student t-tests and Cox regression analyses were performed. For the chemotherapy cohort, FAS 1377 G > A or FAS 670 A > G variants alone was related with inferior survival, and a greater than additive effect was identified when patients simultaneously carrying FAS 1377 GA and FAS 670 GA genotypes. But the poor response was neutralized when patients simultaneously carrying FASL 844 C > T or CASP8 -652 6N ins > del mutations. Our study suggested that FAS 1377 G > A and FAS 670 A > G variants may serve as potential biomarkers to predict the response to platinum-based adjuvant chemotherapy, and the gene-gene interactions involved in Fas-mediated apoptosis pathway may enhance or neutralize the chemosensitivity.

Fas and FasL promoter polymorphisms and susceptibility to HBV infection: A systematic review and meta-analysis

Apoptosis is a universal cellular defense mechanism against senescent, damaged, genetically mutated, or virally-infected cells. It also is critical for the maintenance of liver health. Fas and FasL system act as a major death pathway that triggers apoptosis cascade in the liver. In this systematic review and meta-analysis, we aimed to investigate the relationship between four major polymorphisms of Fas and FasL genes with susceptibility to or clearance of HBV infection. All the eligible studies were extracted from PubMed and Scopus with no date and language restriction. ORs with 95% CIs were used to evaluate the strength of the association based on the following genetic models: (1) the allelic, (2) the homozygote, (3) the dominant, and (4) the recessive models. Totally 7 related articles were included in this meta-analysis; 5 studies of 7 related articles investigated FasL -844C/T (rs763110) polymorphism, 4 studies investigated FasL IVS2nt-124, 6 studies investigated Fas -670 A/G (rs1800682), and 4 studies investigated Fas -1377 A/G (rs2234767) polymorphism. This meta-analysis showed that there is no statistically significant association between the risk or clearance of HBV infection and four studied Fas and FasL polymorphisms in their allelic comparison or genetic models. Fas -670, Fas -1377, FasL -124, and FasL -844 polymorphisms did not show any significant association with the clearance or risk of HBV infection. Therefore, it seems that susceptibility to HBV infection or clearance of it is not affected by Fas and FasL genetic polymorphisms. But, to reach a definitive conclusion, further studies with a larger sample size of different ethnicity are still needed.

MCPerm: a Monte Carlo permutation method for accurately correcting the multiple testing in a meta-analysis of genetic association studies

Traditional permutation (TradPerm) tests are usually considered the gold standard for multiple testing corrections. However, they can be difficult to complete for the meta-analyses of genetic association studies based on multiple single nucleotide polymorphism loci as they depend on individual-level genotype and phenotype data to perform random shuffles, which are not easy to obtain. Most meta-analyses have therefore been performed using summary statistics from previously published studies. To carry out a permutation using only genotype counts without changing the size of the TradPerm P-value, we developed a Monte Carlo permutation (MCPerm) method. First, for each study included in the meta-analysis, we used a two-step hypergeometric distribution to generate a random number of genotypes in cases and controls. We then carried out a meta-analysis using these random genotype data. Finally, we obtained the corrected permutation P-value of the meta-analysis by repeating the entire process N times. We used five real datasets and five simulation datasets to evaluate the MCPerm method and our results showed the following: (1) MCPerm requires only the summary statistics of the genotype, without the need for individual-level data; (2) Genotype counts generated by our two-step hypergeometric distributions had the same distributions as genotype counts generated by shuffling; (3) MCPerm had almost exactly the same permutation P-values as TradPerm (r = 0.999; P<2.2e-16); (4) The calculation speed of MCPerm is much faster than that of TradPerm. In summary, MCPerm appears to be a viable alternative to TradPerm, and we have developed it as a freely available R package at CRAN: http://cran.r-project.org/web/packages/MCPerm/index.html.

Associations between Fas/FasL polymorphisms and susceptibility to cervical cancer: a meta-analysis

Genetic polymorphisms in the Fas/Fas ligand (FasL) gene were proposed to be associated with susceptibility to cervical cancer, but previous studies reported controversial findings. We performed a meta-analysis to assess the associations between Fas/FasL polymorphisms and susceptibility to cervical cancer. We carried out a literature search in PubMed and Embase databases for studies on the associations between Fas/FasL polymorphisms and susceptibility to cervical cancer. The associations were assessed by odds ratio (OR) together with its 95% confidence intervals (CIs). Eleven individual studies with a total of 6,919 subjects were finally included into the meta-analysis. Overall, there was no association between Fas 1377G > A polymorphism and susceptibility to cervical cancer (A vs. G: OR = 0.99, 95% CI 0.88-1.12, P = 0.91; AA vs. GG: OR = 1.00, 95% CI 0.76-1.32, P = 0.99; AA/GA vs. GG: OR = 0.95, 95% CI 0.81-1.12, P = 0.54; AA vs.

GG/GA

OR = 1.11, 95% CI 0.85-1.43, P = 0.45). In addition, there was also no association between FasL 844 T > C polymorphism and susceptibility to cervical cancer (C vs. T: OR = 1.12, 95% CI 0.91-1.36, P = 0.28; CC vs. TT: OR = 1.17, 95% CI 0.90-1.51, P = 0.24; CC/TC vs. TT: OR = 1.13, 95% CI 0.92-1.39, P = 0.24; CC vs.

TT/TC

OR = 1.11, 95% CI 0.83-1.50, P = 0.47). In subgroup analysis by ethnicity, there were also no associations between Fas/FasL polymorphisms and susceptibility to cervical cancer in Asians and Africans. In conclusion, Fas 1377G > A polymorphism and FasL 844 T > C polymorphism are both not associated with susceptibility to cervical cancer.

CD95 rs1800682 polymorphism and cervical cancer risk: evidence from a meta-analysis

CD95 is the first death receptor identified and characterized in recent years, and it plays important roles in the molecular network regulating cell death and survival. CD95 rs1800682 polymorphism is a common genetic polymorphism identified in the CD95 gene. Many publications evaluated the association between CD95 rs1800682 polymorphism and cervical cancer risk, but the association remained inconclusive. To provide a more precise estimate on the association, a meta-analysis was carried out. The association between CD95 rs1800682 polymorphism and cervical cancer risk was assessed by calculating the pooled odds ratio (OR) with its 95% confidence intervals (95% CI). On the basis of our inclusion criteria, ten studies with a total of 5,481 individuals were included into the meta-analysis. There was obvious heterogeneity among the included studies. Meta-analysis of the ten studies suggested that there was no association between CD95 rs1800682 polymorphism and cervical cancer risk under all four genetic models (allele model: OR = 1.05, 95% CI 0.92-1.18, P = 0.478; homozygous model: OR = 1.08, 95% CI 0.83-1.41, P = 0.550; dominant model: OR = 1.12, 95% CI 0.88-1.42, P = 0.347; recessive model: OR = 1.00, 95% CI 0.76-1.31, P = 0.978). Subgroup analysis by ethnicity suggested that there was no association between CD95 rs1800682 polymorphism and cervical cancer risk in Asians, Caucasians, and Africans. Thus, the meta-analysis suggests that CD95 rs1800682 polymorphism is not associated with cervical cancer risk.

Quantitative assessment of the associations between DNA repair gene XRCC3 Thr241Met polymorphism and gastric cancer

Gastric cancer is one of the most prevalent types of cancer in the world today. Recently, there is a large sample volume of published case-control studies on XRCC3 Thr241Met polymorphism with gastric cancer. This will have an important impact on published article by meta-analysis regarding XRCC3 Thr241Met polymorphism with gastric cancer. Therefore, it is necessary to update by meta-analysis to comprehensively investigate the relationship between DNA repair gene XRCC3 Thr241Met polymorphism and gastric cancer. To preciously examine the association between the XRCC3 Thr241Met polymorphism and gastric cancer, we undertook a meta-analysis of 12 case-control studies. The association between the XRCC3 Thr241Met polymorphism and gastric cancer risk was assessed by odds ratios together with their 95 % confidence intervals using a fixed-effects model or random-effects model. We found that the XRCC3 Thr241Met polymorphism was not associated with an increased gastric cancer risk. However, the XRCC3 Thr241Met polymorphism was associated with decreased gastric cancer risk in Asians. In addition, there is no evidence of association on XRCC3 Thr241Met polymorphism with response to chemotherapy and prognosis in gastric cancer. The XRCC3 Thr241Met polymorphism might influence gastric cancer risk in Asians.