Literature DB >> 12379880

DNA adduct burden and tobacco carcinogenesis.

John K Wiencke1.   

Abstract

DNA adducts associated with tobacco smoking could provide a marker of biologically effective dose of tobacco carcinogens and improve individual cancer risk prediction. A significant number of clinical and epidemiologic studies have reported associations of increased DNA adduct levels with the occurrence of the prevalent tobacco related cancers including cancer of the lung, head and neck, and bladder. The inducibility of DNA adducts following in vitro treatments using blood lymphocytes also appears to be a risk factor in the development of lung and head and neck cancer. Corroborative evidence pointing to the importance of DNA adducts in tobacco carcinogenesis include numerous studies showing associations of tobacco smoke exposure with the induction of DNA adducts in humans in vivo. Further effort is necessary, however, to more fully characterize the dose-response relationship between smoking and DNA adducts in exposed target and surrogate tissues. The relationship between gene polymorphisms thought to modify tobacco-related cancer risk and DNA adduct levels is complex. Results of some DNA adduct studies (both in vitro and in vivo) appear inconsistent with the epidemiologic findings. This is evident for polymorphisms involving both carcinogen metabolism (e.g. GSTP1) and DNA repair (e.g. XRCC1). Molecular studies of human tumors suggest associations of p53 mutation with DNA adducts and have revealed correlations of DNA adduct levels with somatic alterations (e.g. 3p21 LOH) that are thought to occur at the very earliest stages of tobacco carcinogenesis. More research is needed to assess the relationship between endogenous sources of DNA adducts and tobacco smoke exposure and the relative oncogenic effects of chemically stable versus unstable DNA adducts. Many potentially fruitful new avenues of cancer research are emerging that integrate DNA adduct analyses with assessments of smoking, genetics, diet and ambient air quality. These investigations aim to understand the multifactorial nature of interindividual variability in response to tobacco carcinogens. As these trends continue a variety of innovative study designs and approaches will become important in human populations.

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Year:  2002        PMID: 12379880     DOI: 10.1038/sj.onc.1205799

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  42 in total

1.  Coordinated DNA methylation and gene expression changes in smoker alveolar macrophages: specific effects on VEGF receptor 1 expression.

Authors:  Robert A Philibert; Rory A Sears; Linda S Powers; Emma Nash; Thomas Bair; Alicia K Gerke; Ihab Hassan; Christie P Thomas; Thomas J Gross; Martha M Monick
Journal:  J Leukoc Biol       Date:  2012-03-16       Impact factor: 4.962

2.  Genetic modifiers of carcinogen DNA adducts in target lung and peripheral blood mononuclear cells.

Authors:  Mi-Sun Lee; Li Su; Eugene J Mark; John C Wain; David C Christiani
Journal:  Carcinogenesis       Date:  2010-10-08       Impact factor: 4.944

Review 3.  Molecular predictors of clinical outcome in patients with head and neck squamous cell carcinoma.

Authors:  Giovana R Thomas; Hari Nadiminti; Jacinto Regalado
Journal:  Int J Exp Pathol       Date:  2005-12       Impact factor: 1.925

Review 4.  Carcinogenicity of ambient air pollution: use of biomarkers, lessons learnt and future directions.

Authors:  Christiana A Demetriou; Paolo Vineis
Journal:  J Thorac Dis       Date:  2015-01       Impact factor: 2.895

5.  MTHFR polymorphisms, folate intake and carcinogen DNA adducts in the lung.

Authors:  Mi-Sun Lee; Kofi Asomaning; Li Su; John C Wain; Eugene J Mark; David C Christiani
Journal:  Int J Cancer       Date:  2012-01-11       Impact factor: 7.396

Review 6.  Lung cancer: epidemiology, etiology, and prevention.

Authors:  Charles S Dela Cruz; Lynn T Tanoue; Richard A Matthay
Journal:  Clin Chest Med       Date:  2011-12       Impact factor: 2.878

7.  Modeling lung cancer risk in case-control studies using a new dose metric of smoking.

Authors:  Sally W Thurston; Geoffrey Liu; David P Miller; David C Christiani
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-10       Impact factor: 4.254

8.  Methods and Challenges for Computational Data Analysis for DNA Adductomics.

Authors:  Scott J Walmsley; Jingshu Guo; Jinhua Wang; Peter W Villalta; Robert J Turesky
Journal:  Chem Res Toxicol       Date:  2019-11-06       Impact factor: 3.739

9.  Smoking, DNA adducts and number of risk DNA repair alleles in lung cancer cases, in subjects with benign lung diseases and in controls.

Authors:  Marco Peluso; Armelle Munnia; Sara Piro; Alessandra Armillis; Marcello Ceppi; Giuseppe Matullo; Riccardo Puntoni
Journal:  J Nucleic Acids       Date:  2010-10-04

10.  Malondialdehyde-deoxyguanosine adducts among workers of a Thai industrial estate and nearby residents.

Authors:  Marco Peluso; Petcharin Srivatanakul; Armelle Munnia; Adisorn Jedpiyawongse; Marcello Ceppi; Suleeporn Sangrajrang; Sara Piro; Paolo Boffetta
Journal:  Environ Health Perspect       Date:  2010-01       Impact factor: 9.031

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