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Thermodynamics and cancer stationary states

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  • Lucia, Umberto

Abstract

Cancer can be described as an open complex dynamic and self-organizing system. The stationary states of the open systems are analysed in engineering thermodynamics by entropy generation. The recent results on entropy generation are suggested as the basis of a new approach to cancer analysis in order to study the cancer evolution and new possible anticancer therapies.

Suggested Citation

  • Lucia, Umberto, 2013. "Thermodynamics and cancer stationary states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3648-3653.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:17:p:3648-3653
    DOI: 10.1016/j.physa.2013.04.033
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    References listed on IDEAS

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    1. Lucia, Umberto, 2013. "Stationary open systems: A brief review on contemporary theories on irreversibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1051-1062.
    2. Lucia, Umberto, 2012. "Irreversibility in biophysical and biochemical engineering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(23), pages 5997-6007.
    3. Lucia, U., 2012. "Maximum or minimum entropy generation for open systems?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3392-3398.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lucia, Umberto, 2014. "Thermodynamic approach to nano-properties of cell membrane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 185-191.
    2. Lucia, Umberto, 2014. "Entropy generation and cell growth with comments for a thermodynamic anticancer approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 107-118.
    3. Martin, R.R. & Montero, S. & Silva, E. & Bizzarri, M. & Cocho, G. & Mansilla, R. & Nieto-Villar, J.M., 2017. "Phase transitions in tumor growth: V what can be expected from cancer glycolytic oscillations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 762-771.
    4. Betancourt-Mar, J.A. & Llanos-Pérez, J.A. & Cocho, G. & Mansilla, R. & Martin, R.R. & Montero, S. & Nieto-Villar, J.M., 2017. "Phase transitions in tumor growth: IV relationship between metabolic rate and fractal dimension of human tumor cells," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 344-351.
    5. Lucia, Umberto, 2014. "Transport processes in biological systems: Tumoral cells and human brain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 327-336.
    6. González-Solís, José Luis & Guizar-Ruiz, Juan Ignacio & Martínez-Espinosa, Juan Carlos & Martínez-Zerega, Brenda Esmeralda & Juárez-López, Héctor Alfonso & Vargas-Rodríguez, Héctor & Gallegos-Infante,, 2016. "Cancer detection based on Raman spectra super-paramagnetic clustering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 455(C), pages 52-64.
    7. Umberto Lucia, 2014. "The Gouy-Stodola Theorem in Bioenergetic Analysis of Living Systems (Irreversibility in Bioenergetics of Living Systems)," Energies, MDPI, vol. 7(9), pages 1-23, September.
    8. Lucia, Umberto, 2014. "Entropy generation approach to cell systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 1-11.

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