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      UGT1A6 Polymorphisms Modulated Lung Cancer Risk in a Chinese Population

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          Abstract

          Uridine diphosphoglucuronosyltransferases (UGTs) 1A6 is the only UGT1A isoform expressed in lung tissue. It is responsible for the detoxification of carcinogens such as benezo[a]pyrene from cigarette smoke. The purpose of this study was to evaluate the association of UGT1A6 polymorphisms and haplotypes with lung cancer risk and to evaluate the functional significance of UGT1A6 polymorphisms. Genomic DNA was isolated from leukocytes. Eight UGT1A6 polymorphisms were sequenced in a test set of 72 Chinese lung cancer patients and 62 healthy controls. Potential risk modifying alleles were validated in a separate set of 95 Chinese lung cancer patients and 100 healthy controls. UGT1A6 19T>G, 541A>G and 552A>C showed significant association with increased lung cancer risk, while UGT1A6 105C>T and IVS1+130G>T were significantly associated with reduced lung cancer risk. Multivariate logistic regression analysis demonstrated a significant association of lung cancer with UGT1A6 541A>G (OR: 3.582, 95% CI: 1.27–10.04, p = 0.015), 552A>C (OR: 5.364, 95% CI: 1.92–14.96, p = 0.001) and IVS1+130G>T (OR: 0.191, 95% CI: 0.09–0.36, p<0.001). Functional test demonstrated that UGT1A6 105C>T increased mRNA stability, providing a plausible explanation of its association with reduced lung cancer risk. Thus UGT1A6 polymorphisms may be used to identify people with increased risk of developing lung cancer.

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          Preferential formation of benzo[a]pyrene adducts at lung cancer mutational hotspots in P53.

          Cigarette smoke carcinogens such as benzo[a]pyrene are implicated in the development of lung cancer. The distribution of benzo[a]pyrene diol epoxide (BPDE) adducts along exons of the P53 gene in BPDE-treated HeLa cells and bronchial epithelial cells was mapped at nucleotide resolution. Strong and selective adduct formation occurred at guanine positions in codons 157, 248, and 273. These same positions are the major mutational hotspots in human lung cancers. Thus, targeted adduct formation rather than phenotypic selection appears to shape the P53 mutational spectrum in lung cancer. These results provide a direct etiological link between a defined chemical carcinogen and human cancer.
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            Detection of genotyping errors by Hardy-Weinberg equilibrium testing.

            Genotyping data sets may contain errors that, in some instances, lead to false conclusions. Deviation from Hardy-Weinberg equilibrium (HWE) in random samples may be indicative of problematic assays. This study has analysed 107,000 genotypes generated by TaqMan, RFLP, sequencing or mass spectrometric methods from 443 single-nucleotide polymorphisms (SNPs). These SNPs are distributed both within genes and in intergenic regions. Genotype distributions for 36 out of 313 assays (11.5%) whose minor allele frequencies were >0.05 deviated from HWE (P<0.05). Some of the possible reasons for this deviation were explored: assays for five SNPs proved nonspecific, and genotyping errors were identified in 21 SNPs. For the remaining 10 SNPs, no reasons for deviation from HWE were identified. We demonstrate the successful identification of a proportion of nonspecific assays, and assays harbouring genotyping error. Consequently, our current high-throughput genotyping system incorporates tests for both assay specificity and deviation from HWE, to minimise the genotype error rate and therefore improve data quality.
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              Changes in bronchial epithelium in relation to cigarette smoking and in relation to lung cancer.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                17 August 2012
                : 7
                : 8
                : e42873
                Affiliations
                [1 ]Department of Haematology-Oncology, National University Cancer Institute of Singapore, Singapore, Singapore
                [2 ]Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
                [3 ]Department of Sugery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
                IPO, Inst Port Oncology, Portugal
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: WPY. Performed the experiments: LFK KM KK. Analyzed the data: LFK WPY. Contributed reagents/materials/analysis tools: WPY. Wrote the paper: LFK. Acquired data: SR SCL BCG. Conducted quality control of data and algorithms: LFK. Edited manuscript: WPY. Reviewed manuscript: SR SCL BCG.

                Article
                PONE-D-12-07528
                10.1371/journal.pone.0042873
                3422233
                22912755
                a256550a-a4b9-4edd-9f28-843db480fa9d
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 12 March 2012
                : 12 July 2012
                Page count
                Pages: 9
                Funding
                This work was supported by the National Healthcare Group (Singapore) small innovative grant [NHG-SIG/06007]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Computational Biology
                Population Genetics
                Genetic Polymorphism
                Evolutionary Biology
                Population Genetics
                Genetic Polymorphism
                Genetics
                Population Genetics
                Genetic Polymorphism
                Population Biology
                Epidemiology
                Genetic Epidemiology
                Population Genetics
                Genetic Polymorphism
                Medicine
                Epidemiology
                Cancer Epidemiology
                Genetic Epidemiology
                Oncology
                Cancers and Neoplasms
                Lung and Intrathoracic Tumors

                Uncategorized
                Uncategorized

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