Literature DB >> 17932342

Molecular epidemiology and biomarkers in etiologic cancer research: the new in light of the old.

Paolo Vineis1, Frederica Perera.   

Abstract

The purpose of this review is to evaluate progress in molecular epidemiology over the past 24 years in cancer etiology and prevention to draw lessons for future research incorporating the new generation of biomarkers. Molecular epidemiology was introduced in the study of cancer in the early 1980s, with the expectation that it would help overcome some major limitations of epidemiology and facilitate cancer prevention. The expectation was that biomarkers would improve exposure assessment, document early changes preceding disease, and identify subgroups in the population with greater susceptibility to cancer, thereby increasing the ability of epidemiologic studies to identify causes and elucidate mechanisms in carcinogenesis. The first generation of biomarkers has indeed contributed to our understanding of risk and susceptibility related largely to genotoxic carcinogens. Consequently, interventions and policy changes have been mounted to reduce risk from several important environmental carcinogens. Several new and promising biomarkers are now becoming available for epidemiologic studies, thanks to the development of high-throughput technologies and theoretical advances in biology. These include toxicogenomics, alterations in gene methylation and gene expression, proteomics, and metabonomics, which allow large-scale studies, including discovery-oriented as well as hypothesis-testing investigations. However, most of these newer biomarkers have not been adequately validated, and their role in the causal paradigm is not clear. There is a need for their systematic validation using principles and criteria established over the past several decades in molecular cancer epidemiology.

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Year:  2007        PMID: 17932342     DOI: 10.1158/1055-9965.EPI-07-0457

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  44 in total

1.  Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.

Authors:  Leah E Mechanic; Huann-Sheng Chen; Christopher I Amos; Nilanjan Chatterjee; Nancy J Cox; Rao L Divi; Ruzong Fan; Emily L Harris; Kevin Jacobs; Peter Kraft; Suzanne M Leal; Kimberly McAllister; Jason H Moore; Dina N Paltoo; Michael A Province; Erin M Ramos; Marylyn D Ritchie; Kathryn Roeder; Daniel J Schaid; Matthew Stephens; Duncan C Thomas; Clarice R Weinberg; John S Witte; Shunpu Zhang; Sebastian Zöllner; Eric J Feuer; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2011-12-06       Impact factor: 2.135

2.  STrengthening the reporting of OBservational studies in Epidemiology-Molecular Epidemiology (STROBE-ME): an extension of the STROBE statement.

Authors:  Valentina Gallo; Matthias Egger; Valerie McCormack; Peter B Farmer; John P A Ioannidis; Micheline Kirsch-Volders; Giuseppe Matullo; David H Phillips; Bernadette Schoket; Ulf Stromberg; Roel Vermeulen; Christopher Wild; Miquel Porta; Paolo Vineis
Journal:  Eur J Epidemiol       Date:  2011-10-29       Impact factor: 8.082

3.  Emerging technology in molecular epidemiology: what epidemiologists need to know.

Authors:  Frederica P Perera; Julie B Herbstman
Journal:  Epidemiology       Date:  2008-03       Impact factor: 4.822

4.  Design and validity of a clinic-based case-control study on the molecular epidemiology of lymphoma.

Authors:  James R Cerhan; Zachary S Fredericksen; Alice H Wang; Thomas M Habermann; Neil E Kay; William R Macon; Julie M Cunningham; Tait D Shanafelt; Stephen M Ansell; Timothy G Call; Thomas E Witzig; Susan L Slager; Mark Liebow
Journal:  Int J Mol Epidemiol Genet       Date:  2011-04-05

5.  DNA methylation, colon cancer and Mediterranean diet: results from the EPIC-Italy cohort.

Authors:  Francesca Fasanelli; Maria Teresa Giraudo; Paolo Vineis; Valentina Fiano; Giovanni Fiorito; Chiara Grasso; Silvia Polidoro; Morena Trevisan; Sara Grioni; Vittorio Krogh; Amalia Mattiello; Salvatore Panico; Maria Concetta Giurdanella; Rosario Tumino; Laura De Marco; Fulvio Ricceri; Carlotta Sacerdote
Journal:  Epigenetics       Date:  2019-06-14       Impact factor: 4.528

6.  Prediagnostic transcriptomic markers of Chronic lymphocytic leukemia reveal perturbations 10 years before diagnosis.

Authors:  M Chadeau-Hyam; R C H Vermeulen; D G A J Hebels; R Castagné; G Campanella; L Portengen; R S Kelly; I A Bergdahl; B Melin; G Hallmans; D Palli; V Krogh; R Tumino; C Sacerdote; S Panico; T M C M de Kok; M T Smith; J C S Kleinjans; P Vineis; S A Kyrtopoulos
Journal:  Ann Oncol       Date:  2014-02-20       Impact factor: 32.976

Review 7.  Biomarkers of dietary intake of flavonoids and phenolic acids for studying diet-cancer relationship in humans.

Authors:  Jakob Linseisen; Sabine Rohrmann
Journal:  Eur J Nutr       Date:  2008-05       Impact factor: 5.614

Review 8.  Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.

Authors:  Rachel S Kelly; Matthew G Vander Heiden; Edward Giovannucci; Lorelei A Mucci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04-06       Impact factor: 4.254

Review 9.  Health risk and biological effects of cardiac ionising imaging: from epidemiology to genes.

Authors:  Ilenia Foffa; Monica Cresci; Maria Grazia Andreassi
Journal:  Int J Environ Res Public Health       Date:  2009-06-19       Impact factor: 3.390

10.  Measuring the combinatorial expression of solute transporters and metalloproteinases transcripts in colorectal cancer.

Authors:  Caroline A Kerr; Robert Dunne; Barney M Hines; Michelle Zucker; Leah Cosgrove; Andrew Ruszkiewicz; Trevor Lockett; Richard Head
Journal:  BMC Res Notes       Date:  2009-08-19
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