Association between glutathione S-transferase T1 null genotype and risk of myelodysplastic syndromes: a comprehensive meta-analysis

Applying a Weight-of-Evidence Approach to Evaluate Relevance of Molecular Landscapes in the Exposure-Disease Paradigm

Information on polymorphisms, mutations, and epigenetic events has become increasingly important in our understanding of molecular mechanisms associated with exposures-disease outcomes. Molecular landscapes can be developed to illustrate the molecular characteristics for environmental carcinogens as well as associated disease outcomes, although comparison of these molecular landscapes can often be difficult to navigate. We developed a method to organize these molecular data that uses a weight-of-evidence approach to rank overlapping molecular events by relative importance for susceptibility to an exposure-disease paradigm. To illustrate the usefulness of this approach, we discuss the example of benzene as an environmental carcinogen and myelodysplastic syndrome (MDS) as a causative disease endpoint. Using this weight-of-evidence method, we found overlapping polymorphisms in the genes for the metabolic enzymes GST and NQO1, both of which may infer risk of benzene-induced MDS. Polymorphisms in the tumor suppressor gene, TP53, and the inflammatory cytokine gene, TNF-α, were also noted, albeit inferring opposing outcomes. The alleles identified in the DNA repair gene RAD51 indicated an increased risk for MDS in MDS patients and low blood cell counts in benzene-exposed workers. We propose the weight-of-evidence approach as a tool to assist in organizing the sea of emerging molecular data in exposure-disease paradigms.

Meta-analysis of the association between GSTT1 null genotype and risk of nasopharyngeal carcinoma in Chinese

Glutathione S-transferase T1 (GSTT1) null genotype has been proven to be associated with risks of many cancers. There were also many studies assessing on the association between GSTT1 null genotype and nasopharyngeal carcinoma risk in Chinese, but the findings from those studies were inconsistent. We performed a meta-analysis to provide a more precise assessment on the effect of GSTT1 null genotype on nasopharyngeal carcinoma risk. The PubMed and Wanfang databases were searched to identify eligible case-control studies on the association between GSTT1 null genotype and risk of nasopharyngeal carcinoma in Chinese. The pooled odds ratios (OR) with corresponding 95% confidence intervals (95% CI) were used to assess the association. Eight case-control studies with a total of 3,702 individuals were finally included in the meta-analysis. Meta-analysis of a total of eight studies showed that GSTT1 null genotype was significantly associated with increased risk of nasopharyngeal carcinoma in Chinese (OR = 2.27; 95% CI 1.41-3.67; P = 0.001). The finding from cumulative meta-analysis showed that there was a trend of more obvious association between GSTT1 null genotype and risk of nasopharyngeal carcinoma in Chinese as data accumulated by publication year. Therefore, the GSTT1 null genotype is significantly associated with increased risk of nasopharyngeal carcinoma in Chinese.