Modeling early initiation processes in smoking-induced lung adenocarcinomas Peer-Reviewed Publications peerreviewedpublications Pre-clinical ToxicologySystems Toxicologypreclinicaltoxicologysystemstoxicology Jun 6, 2011 20110606 Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zürich, Switzerland /content/dam/pmiscience/default-fallback-thumbnails/publication/GB-27-09-21--E3500_3840x2160.jpg Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zürich, Switzerland
      Peer-Reviewed Publications

      Modeling early initiation processes in smoking-induced lung adenocarcinomas

      Vuillaume, G.; Mueller, T.; Talikka, M.; Cheng, Y.; Diserens, G.; Peitsch, M. C.; Hoeng, J.; Tobin, F.
      Published
      Jun 6, 2011
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      Summary

      Most cancer models focus on the growth and progression of a tumor once a neoplasm has first formed. This work focuses on building a mathematical model of the early initiation processes for the earliest neoplasm for lung adenocarcinomas induced by smoking. The biology was triaged to identify the key biological behaviors causing the phenotype transition from never-smoker lung cells to the earliest phenotype considered a neoplasm. The biology is then translated into a set of nonlinear ordinary differential equations (ODEs). Finally, constrained optimization is used to obtain a single set of model parameters that simultaneously provides a good fit to all the experimental data sets and accurately reproduce the key biological phenomena, without producing any unacceptable one.

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