A Processual Model for Functional Analyses of Carcinogenesis in the Prospective Cohort Design

Abstract : Traditionally, the prospective design has been chosen for risk factor analyses of lifestyle and cancer using mainly estimation by survival analysis methods. With new technologies, epidemiologists can expand their prospective studies to include functional genomics given either as transcriptomics, mRNA and microRNA, or epigenetics in blood or other biological materials. The novel functional analyses should not be assessed using classical survival analyses since the main goal is not risk estimation, but the analysis of functional genomics as part of the dynamic carcinogenic process over time, i.e., a “processual” approach. In the risk factor model, time to event is analysed as a function of exposure variables known at start of follow-up (fixed covariates) or changing over the follow-up period (time-dependent covariates). In the processual model, transcriptomics or epigenetics is considered as functions of time and exposures. The success of this novel approach depends on the development of new statistical methods with the capacity of describing and analysing the time-dependent curves or trajectories for tens of thousands of genes simultaneously. This approach also focuses on multilevel or integrative analyses introducing novel statistical methods in epidemiology. The processual approach as part of systems epidemiology might represent in a near future an alternative to human in vitro studies using human biological material for understanding the mechanisms and pathways involved in carcinogenesis.
Type de document :
Article dans une revue
Medical Hypotheses, Elsevier, 2015, 85 (4), pp.494-497. <10.1016/j.mehy.2015.07.006>
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01264465
Contributeur : Serena Benassù <>
Soumis le : mardi 2 février 2016 - 15:15:22
Dernière modification le : mardi 11 octobre 2016 - 13:59:33
Document(s) archivé(s) le : samedi 12 novembre 2016 - 02:42:51

Fichier

1-s2.0-S0306987715002704-main....
Publication financée par une institution

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Collections

Citation

E. Lund, S. Plancade, G. Nuel, H. Bovelstad, J.-C. Thalabard. A Processual Model for Functional Analyses of Carcinogenesis in the Prospective Cohort Design. Medical Hypotheses, Elsevier, 2015, 85 (4), pp.494-497. <10.1016/j.mehy.2015.07.006>. <hal-01264465>

Partager

Métriques

Consultations de
la notice

83

Téléchargements du document

39