Modeling breast cancer progression to bone: how driver mutation order and metabolism matter.

ABSTRACT:

Background

Not all the mutations are equally important for the development of metastasis. What about their order? The survival of cancer cells from the primary tumour site to the secondary seeding sites depends on the occurrence of very few driver mutations promoting oncogenic cell behaviours. Usually these driver mutations are among the most effective clinically actionable target markers. The quantitative evaluation of the effects of a mutation across primary and secondary sites is an important challenging problem that can lead to better predictability of cancer progression trajectory.

Results

We introduce a quantitative model in the framework of Cellular Automata to investigate the effects of metabolic mutations and mutation order on cancer stemness and tumour cell migrati

SUBMITTER: Ascolani G 

PROVIDER: S-EPMC6657267 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature