Literature DB >> 10026991

Molecular epidemiology of human cancer.

S P Hussain1, C C Harris.   

Abstract

A challenging goal of molecular epidemiology is to identify an individual's risk of cancer. Molecular epidemiology integrates molecular biology, in vitro and in vivo laboratory models, biochemistry and epidemiology to infer individual cancer risk. Molecular dosimetry of carcinogen exposure is an important facet of molecular epidemiology and cancer risk assessment. Carcinogen macromolecular adduct levels, cytogenetic alterations and somatic cell mutations can be measured to determine the biologically effective doses of carcinogens. Molecular epidemiology also explores host cancer susceptibilities, such as carcinogen metabolism, DNA repair, and epigenetic and genetic alterations in tumor suppressor genes. p53 is a prototype tumor suppressor gene and is well suited for analysis of mutational spectrum in human cancer. The analyses of germ line and somatic mutation spectra of the p53 tumor suppressor gene provide important clues for cancer risk assessment in molecular epidemiology. For example, characteristic p53 mutation spectra have been associated with: dietary aflatoxin B1 exposure and hepatocellular carcinoma; sunlight exposure and skin carcinoma; and cigarette smoking and lung cancer. The mutation spectrum also reveals those p53 mutants that provide cells with a selective clonal expansion advantage during the multistep process of carcinogenesis. The p53 gene encodes a multifunctional protein involved in the cellular response to stress including DNA damage and hypoxia. Certain p53 mutants lose tumor suppressor activity and gain oncogenic activity, which is one explanation for the commonality of p53 mutations in human cancer. Molecular epidemiological results can be evaluated for causation by inference of the Bradford-Hill criteria, i.e., strength of association (consistency, specificity and temporality) and biological plausibility, which utilizes the "weight of the evidence principle."

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Year:  1998        PMID: 10026991     DOI: 10.1007/978-3-642-46870-4_2

Source DB:  PubMed          Journal:  Recent Results Cancer Res        ISSN: 0080-0015


  6 in total

1.  Upregulation of the mitochondrial transport protein, Tim50, by mutant p53 contributes to cell growth and chemoresistance.

Authors:  Heidi Sankala; Catherine Vaughan; Jing Wang; Sumitra Deb; Paul R Graves
Journal:  Arch Biochem Biophys       Date:  2011-05-20       Impact factor: 4.013

2.  Hepatocellular carcinomas in native livers from patients treated with orthotopic liver transplantation: biologic and therapeutic implications.

Authors:  H Kirimlioglu; I Dvorchick; K Ruppert; S Finkelstein; J W Marsh; S Iwatsuki; A Bonham; B Carr; M Nalesnik; G Michalopoulos; T Starzl; J Fung; A Demetris
Journal:  Hepatology       Date:  2001-09       Impact factor: 17.425

3.  EEF1A2 inactivates p53 by way of PI3K/AKT/mTOR-dependent stabilization of MDM4 in hepatocellular carcinoma.

Authors:  Rossella Pellegrino; Diego F Calvisi; Olaf Neumann; Venkatesh Kolluru; Josephine Wesely; Xin Chen; Chunmei Wang; Torsten Wuestefeld; Sara Ladu; Nahla Elgohary; Justo Lorenzo Bermejo; Bernhard Radlwimmer; Martin Zörnig; Lars Zender; Frank Dombrowski; Matthias Evert; Peter Schirmacher; Thomas Longerich
Journal:  Hepatology       Date:  2014-03-27       Impact factor: 17.425

Review 4.  Indoor mold, toxigenic fungi, and Stachybotrys chartarum: infectious disease perspective.

Authors:  D M Kuhn; M A Ghannoum
Journal:  Clin Microbiol Rev       Date:  2003-01       Impact factor: 26.132

Review 5.  TP53 mutations in nonsmall cell lung cancer.

Authors:  Akira Mogi; Hiroyuki Kuwano
Journal:  J Biomed Biotechnol       Date:  2011-01-18

6.  Analysis of H3K27me3 expression and DNA methylation at CCGG sites in smoking and non-smoking patients with non-small cell lung cancer and their clinical significance.

Authors:  Kunshou Zhu; Yujie Deng; Guoxing Weng; Dan Hu; Cheng Huang; Keitaro Matsumoto; Takeshi Nagayasu; Takehiko Koji; Xiongwei Zheng; Wenhui Jiang; Gen Lin; Yibin Cai; Guibin Weng; Xiaohui Chen
Journal:  Oncol Lett       Date:  2018-02-21       Impact factor: 2.967

  6 in total

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