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Predicting cancer stages from tissue energy dissipation
A Arango-Restrepo1, J M Rubi2,3
1Departament de Física de la Matèria Condensada, Universitat de Barcelona, Avinguda Diagonal 647, Barcelona, 08028, Spain. aarangor@unal.edu.co.
Scientific Reports
|September 23, 2023
Summary
This study introduces a computational model to predict cancer progression by analyzing tissue structure and energy dissipation. Advanced cancer stages quantitatively correlate with higher energy dissipation, aiding in predicting disease evolution.
Area of Science:
- Computational Biology
- Biophysics
- Cancer Research
Background:
- Accurate cancer staging is crucial for determining disease severity and guiding therapeutic strategies.
- Understanding cancer progression requires interdisciplinary approaches from science and engineering.
Purpose of the Study:
- To develop a computational model for predicting cancer evolution based on tissue structure.
- To quantitatively link cancerous tissue stages with energy dissipation using principles of non-equilibrium thermodynamics.
Main Methods:
- Utilized experimental data on tissue elasticity and porosity to model cancer progression.
- Developed a quantitative approach relating tissue stages to energy dissipation.
- Validated the model using experimental data and World Health Organization statistics.
Main Results:
- Demonstrated a quantitative correlation between advanced cancer stages and increased energy dissipation.
- Established probabilities for observing different tissue stages and transitioning between them based on energy dissipation.
Conclusions:
- The proposed computational model offers quantitative insights into cancer's multi-stage evolution.
- This approach provides a foundation for integrative research aimed at combating cancer.
