Mathematical modeling of metastasis, a feasible way to detect the weakness
Guerra, A.; Silva, E.; Mansilla, R.; Nieto, J. M.
Show abstract
AimCancer is one of the main causes of death worldwide. 90% of deaths caused by this disease occur due to metastasis. Two models are proposed that rescue fundamental aspects of metastasis, such as EMT (epithelial-mesenchymal transition), extravasation and colonization. MethodsTo evaluate the complexity, the Lyapunov exponents, the eigenvalues of the Jacobian matrix (stability analysis) and the Kaplan York dimension were calculated. ResultsIt was evidenced that the weakness of the metastasis lies in these stages, which indicates that they constitute potential targets in the search for an effective treatment. ConclusionThe results suggest that strengthening the immune system during EMT as well as its specialization in the detection of DTCs (disseminated tumor cells) can be effective strategies in the treatment of metastasis.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Interplay of p53 and XIAP protein dynamics orchestrates cell fate in response to chemotherapy 96%
- Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization. 96%
- Uncovering potential interventions for pancreatic cancer patients via mathematical modeling 96%
Similar papers in this journal
- Migrastatic Therapy as a Potential Game-Changer inAdaptive Cancer Treatment 96%
- Distribution of Incubation Period of COVID-19 in the Canadian Context: Modeling and Computational Study 94%
- Comparing protein-protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.