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Objectives: The CYP19 gene encodes aromatase--a key enzyme involved in the conversion of androstenedione/testosterone to estrone/estradiol. In this study, we analyzed the association between the TCT insertion (Ins)/deletion (Del) and TTTA repeat polymorphisms of CYP19 and prostate cancer (PCa)., Methods: Automated sequencer with GeneScan software was used to determine the CYP19 gene polymorphisms in peripheral blood mononuclear cell DNA from 244 patients with PCa and 261 age-matched healthy male controls. The distribution of Stage I to IV was 3.4%, 23.8%, 19.6%, and 53.2%, respectively. The Gleason score was 2 to 5 in 22.9%, 6 to 7 in 53.2%, and 8 to 10 in 23.8%., Results: The frequency of the TCT Del/Del genotype in the Taiwanese patients with PCa (12.3%) was significantly greater than that in the controls (5.4%; P = 0.015, odds ratio [OR] 2.43, 95% confidence interval [CI] 1.23 to 4.80). Individuals with a homozygous A1 (seven TTTA repeats) genotype had a significantly greater risk of developing PCa (OR 1.59, 95% CI 1.04 to 2.44, P = 0.044). The frequency of the Ins-A6 (12 TTTA repeats) haplotype was significantly greater in the control group than in the patient group (9.8% versus 6.1%, OR 0.61, 95% CI 0.38 to 0.97). The OR of developing PCa for men with the homozygous Del-A1 diplotype was 2.31 (95% CI 1.10 to 4.83)., Conclusions: The results of our study have shown that the CYP19 TCT Del/Del genotype might be a susceptibility marker for PCa. Men with the Ins-A6 haplotype had a lower risk of developing PCa.

Background: A high initial or peak severe acute respiratory syndrome (SARS)-associated coronavirus (SARS-CoV) load in nasopharyngeal specimens was shown to be associated with a high mortality rate. Because all infected individuals were devoid of preeexisting protective immunity against SARS-CoV, the biological basis for the variable virus burdens in different patients remains elusive., Methods: The nationwide SARS database in Taiwan was analyzed, and genotyping of 281 single-nucleotide polymorphisms (SNPs) of 65 genes was performed for 94 patients with SARS, to identify SNPs for which distribution between patients with or without detectable nasopharyngeal shedding of SARS-CoV was biased., Results: Titers of SARS-CoV shed in nasopharyngeal specimens varied widely, ranging from nondetectable to 10(8) SARS-CoV RNA copies/mL, and they were correlated positively with a high mortality rate (P<.0001, by trend test) and with early death (i.e., death occurring within 2 weeks of the onset of illness) (P=.0015, by trend test). Virus shedding was found to be higher among male patients (P=.0014, by multivariate logistic regression) and among older patients (P=.015, by multivariate logistic regression). Detectable nasopharyngeal shedding of SARS-CoV was associated with polymorphic alleles of interleukins 18 (P=.014) and 1A (P=.031) and a member of NF kappa B complex (reticuloendotheliosis viral oncogene homolog B [RelB]) (P=.034), all of which are proinflammatory in nature, as well as the procoagulation molecule fibrinogen-like protein 2 (P=.008)., Conclusion: The SARS-CoV load is a determinant of clinical outcomes of SARS, and it is associated with polymorphisms of genes involved in innate immunity, which might be regulated in an age- and sex-dependent manner. The findings of the present study provided leads to genes involved in the host response to SARS-CoV infection; if substantiated with functional studies, these findings may be applicable to other newly emerged respiratory viruses (e.g., the influenza pandemic strain).

Background: In 2003, Taiwan experienced a series of outbreaks of severe acute respiratory syndrome (SARS) and 1 laboratory-contamination accident. Here we describe a new phylogenetic analytical method to study the sources and dissemination paths of SARS-associated coronavirus (SARS-CoV) infections in Taiwan., Methods: A phylogenetic analytical tool for combining nucleotide sequences from 6 variable regions of a SARS-CoV genome was developed by use of 20 published SARS-CoV sequences; and this method was validated by use of 80 published SARS-CoV sequences. Subsequently, this new tool was applied to provide a better understanding of the entire complement of Taiwanese SARS-CoV isolates, including 20 previously published and 19 identified in this study. The epidemiological data were integrated with the results from the phylogenetic tree and from the nucleotide-signature pattern., Results: The topologies of phylogenetic trees generated by the new and the conventional strategies were similar, with the former having better robustness than the latter, especially in comparison with the maximum-likelihood trees: the new strategy revealed that during 2003 there were 5 waves of epidemic SARS-CoV infection, which belonged to 3 phylogenetic clusters in Taiwan., Conclusions: The new strategy is more efficient than its conventional counterparts. The outbreaks of SARS in Taiwan originated from multiple sources.

Glycine N-methyltransferase (GNMT) affects genetic stability by (a) regulating the ratio of S-adenosylmethionine to S-adenosylhomocystine and (b) binding to folate. Based on the identification of GNMT as a 4 S polyaromatic hydrocarbon-binding protein, we used liver cancer cell lines that expressed GNMT either transiently or stably in cDNA transfections to analyze the role of GNMT in the benzo(a)pyrene (BaP) detoxification pathway. Results from an indirect immunofluorescent antibody assay showed that GNMT was expressed in cell cytoplasm before BaP treatment and translocated to cell nuclei after BaP treatment. Compared with cells transfected with the vector plasmid, the number of BaP-7,8-diol 9,10-epoxide-DNA adducts that formed in GNMT-expressing cells was significantly reduced. Furthermore, the dose-dependent inhibition of BaP-7,8-diol 9,10-epoxide-DNA adduct formation by GNMT was observed in HepG2 cells infected with different multiplicities of infection of recombinant adenoviruses carrying GNMT cDNA. According to an aryl hydrocarbon hydroxylase enzyme activity assay, GNMT inhibited BaP-induced cytochrome P450 1A1 enzyme activity. Automated BaP docking using a Lamarckian genetic algorithm with GNMT X-ray crystallography revealed a BaP preference for the S-adenosylmethionine-binding domain of the dimeric form of GNMT, a novel finding of a cellular defense against potentially damaging exposures. In addition to GNMT, results from docking experiments showed that BaP binds readily with other DNA methyltransferases, including HhaI, HaeIII, PvuII methyltransferases and human DNA methyltransferase 2. We therefore hypothesized that BaP-DNA methyltransferase and BaP-GNMT interactions may contribute to carcinogenesis.

Glycine N-methyltransferase (GNMT), a multifunctional protein involved in the maintenance of the genetic stability, is often down-regulated in hepatocellular carcinoma (HCC). Using genotypic characterization of GNMT in hepatoma cell lines and in a Taiwanese population with a high incidence of liver cancer we have investigated the role of this gene in the progression of liver cancer. Six novel polymorphisms, including two short tandem repeats, one 4-nucleotide insertion/deletion polymorphism, and three single nucleotide polymorphisms, in GNMT were identified in this study. The rates of loss of heterozygosity at the GNMT locus in pairs of normal and tumor tissue from the HCC patients were approximately 36-47%. In addition, the observed heterozygosity of GNMT decreases in tumor adjacent liver DNA from HCC patients compared with that observed in blood DNA from normal individuals and HCC patients. This may result from the early event of loss of heterozygosity within the GNMT gene in the liver tissues of HCC patients. However, in this study, we did not observe the association of polymorphic GNMT alleles as inherited risk factors for HCC. We also elucidated the functional impact of genetic markers in the GNMT promoter by performing luciferase reporter gene and gel mobility shift assays. The results indicate that two polymorphisms, short tandem repeat 1 and insertion/deletion polymorphism, in the promoter region could cause allelic specific effects on the transcriptional activity of GNMT. The risk genotypes of GNMT, which presumably have a lower expression level, as estimated from in vitro functional studies, are over-represented in tumor-adjacent tissues from HCC patients. In summary, our results suggest that GNMT alteration may be an early event in HCC development and that GNMT could be a new tumor susceptibility gene for HCC.