Literature DB >> 19959558

Biomarkers in cancer epidemiology: an integrative approach.

Paolo Boffetta1.   

Abstract

There are different reasons for the increase in the use of biomarkers in cancer epidemiology which is as follows: (i) the fact that the identification of new carcinogens, characterized by complex exposure circumstances and weak effects, has become increasingly difficult with traditional epidemiological approaches; (ii) the increasing understanding of mechanisms of carcinogenesis and (iii) technical developments in molecular biology and genetics. While a distinction is made between biomarkers of exposure, intermediate events, disease, outcome and susceptibility, their integration in a unique conceptual model is needed. The use of exposure biomarkers in cancer epidemiology aims at measuring the biologically relevant exposure more validly and precisely. In some instances, there is an obvious improvement in using an exposure biomarker, as in the case of urinary markers of aflatoxin and tobacco-specific nitrosamines. Intermediate (effect) biomarkers measure early--in general non-persistent--biological events that take place in the continuum between exposure and cancer development. These include cellular or tissue toxicity, chromosomal alterations, changes in DNA, RNA and protein expression and alterations in functions relevant to carcinogenesis (e.g. DNA repair, immunological response, etc.). The analysis of acquired TP53 mutations is an example of the potentially important. Biomarkers should be validated and consideration of sources of bias and confounding in molecular epidemiology studies should be no less stringent than in other types of epidemiological studies. The overarching goal is the integration of different types of biomarkers to derive risk and outcome profiles for healthy individuals as well as patients.

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Year:  2009        PMID: 19959558     DOI: 10.1093/carcin/bgp269

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  16 in total

1.  NAT2 polymorphisms with oral carcinoma susceptibility: a meta-analysis.

Authors:  Xian-Lu Zhuo; Jun-Jun Ling; Yan Zhou; Hou-Yu Zhao; Yu-Feng Song; Ying-Hui Tan
Journal:  Mol Biol Rep       Date:  2012-06-22       Impact factor: 2.316

2.  Feasibility of linking population-based cancer registries and cancer center biorepositories.

Authors:  Margaret E McCusker; Rosemary D Cress; Mark Allen; Allyn Fernandez-Ami; Regina Gandour-Edwards
Journal:  Biopreserv Biobank       Date:  2012-10       Impact factor: 2.300

3.  CYP1A1 and CYP2E1 genotypes and risk of esophageal squamous cell carcinoma in a high-incidence region, Kashmir.

Authors:  Gulzar Ahmad Bhat; Idrees Ayoub Shah; Muzamil Ashraf Makhdoomi; Beenish Iqbal; Rumaisa Rafiq; Sumaiya Nabi; Akbar Masood; Mohd Maqbool Lone; Nazir Ahmad Dar
Journal:  Tumour Biol       Date:  2014-02-08

4.  Association of CYP1A1 and CYP2D6 gene polymorphisms with head and neck cancer in Tunisian patients.

Authors:  Rim Khlifi; Amine Chakroun; Amel Hamza-Chaffai; Ahmed Rebai
Journal:  Mol Biol Rep       Date:  2014-01-22       Impact factor: 2.316

5.  Inter-ethnic differences in genetic polymorphisms of xenobiotic-metabolizing enzymes (CYP1A1, CYP2D6, NAT1 and NAT2) in healthy populations: correlation with the functional in silico prediction.

Authors:  Rim Khlifi; Ghada Ben Salah; Amine Chakroun; Amel Hamza-Chaffai; Ahmed Rebai
Journal:  Mol Biol Rep       Date:  2014-06-17       Impact factor: 2.316

6.  MICROFLUIDIC DEVICES FOR LABEL-FREE AND NON-INSTRUMENTED QUANTITATION OF UNAMPLIFIED NUCLEIC ACIDS BY FLOW DISTANCE MEASUREMENT.

Authors:  Debolina Chatterjee; Danielle S Mansfield; Adam T Woolley
Journal:  Anal Methods       Date:  2014-10-21       Impact factor: 2.896

7.  Integration of gene chip and topological network techniques to screen a candidate biomarker gene (CBG) for predication of the source water carcinogenesis risks on mouse Mus musculus.

Authors:  Jie Sun; Shupei Cheng; Aimin Li; Rui Zhang; Bing Wu; Yan Zhang; Xuxiang Zhang
Journal:  Ecotoxicology       Date:  2011-05-04       Impact factor: 2.823

Review 8.  Blood-borne biomarkers and bioindicators for linking exposure to health effects in environmental health science.

Authors:  M Ariel Geer Wallace; Tzipporah M Kormos; Joachim D Pleil
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2016-10-19       Impact factor: 6.393

9.  Ovarian tumor marker HE4 is differently expressed during the phases of the menstrual cycle in healthy young women.

Authors:  Emanuela Anastasi; Teresa Granato; Giulia Giovanna Marchei; Valentina Viggiani; Barbara Colaprisca; Sara Comploj; Maria Gabriella Reale; Luigi Frati; Cecilia Midulla
Journal:  Tumour Biol       Date:  2010-05-20

10.  Association between CYP1A1 Ile462Val variation and acute leukemia risk: meta-analyses including 2164 cases and 4160 controls.

Authors:  Wenlei Zhuo; Liang Zhang; Bo Zhu; Zhiqun Qiu; Zhengtang Chen
Journal:  PLoS One       Date:  2012-10-04       Impact factor: 3.240

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