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. 2012;3(2):107-14.
Epub 2012 May 10.

Transcriptional output in a prospective design conditionally on follow-up and exposure: the multistage model of cancer

Eiliv Lund  1 , Sandra Plancade
Affiliations

Transcriptional output in a prospective design conditionally on follow-up and exposure: the multistage model of cancer

Eiliv Lund et al. Int J Mol Epidemiol Genet. 2012.

Abstract

Transcriptomics as the analysis of mRNA and microRNA could be implemented in prospective studies both in peripheral blood and tissues. Its application in cancer epidemiology could provide a new understanding of the functional changes underlying the multistage model of carcinogenesis, as well as the relationship between these changes and exposure to carcinogens. Transcriptomics is not merely another -omics technology for risk assessment in traditional prospective studies. Instead, this novel approach has the potential to estimate the distribution of gene expression conditionally on different exposures, and to study the length of the different stages of carcinogenesis. If it proves to be a valid approach, transcriptomics could be an opportunity to make meaningful advances in our understanding of the carcinogenic process.

Keywords: Carcinogenesis; latent variable; multistage model; prospective study; systems epidemiology; transcriptomics.

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Figures

Figure 1
Figure 1
Hypothetical gene expression levels (Illumina Hu-6 chip) and differences in expression between cases and controls for single genes taken from case-control pairs with different follow-up time, illustrating a potential distribution of time in years for the start of the last stage.
Figure 2
Figure 2
Time-dependant gene expression duringfollow-up, showing potential distributions; somaticmutations or functional changes (upper panel), SNPs(middle panel) or early stage (lower panel).
Figure 3
Figure 3
The distribution of differences in gene expression with 95% confidence intervals for 100 random genes measured in peripheral blood given for a matched and a non-matched case-control design, the mean difference in gene expression given as a whole line, 150 pairs from the Norwegian Women and Cancer postgenome cohort [3,7] order by increasing differences, (Illumina Hu6 micro-array).
See this image and copyright information in PMC

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