Phase transitions in tumor growth: II prostate cancer cell lines

Llanos-Pérez, J.A.; Betancourt-Mar, A.; Miguel, María P. De; Izquierdo-Kulich, Elena; Royuela-García, M.; Tejera, Eduardo; Nieto-Villar, J.M.

doi:10.1016/j.physa.2015.01.038

Cited by 19 publications

(15 citation statements)

References 16 publications

(16 reference statements)

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“…This latency stage can remain silent for a long time and is not macroscopically perceptible. Hence, as we postulated in previous works [10,11] this process resembles a phase transition ''second order'', whose biological implication is clear: the difficulty of early detection of cancer.…”

Section: Introductionmentioning

confidence: 56%

What Can Be Learned from A Phase Transitions in Tumor Growth?

Betancourt-Mar¹,

Cocho²,

Mansilla³

et al. 2017

Insights in Biomed

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Section: Introductionmentioning

confidence: 56%

What Can Be Learned from A Phase Transitions in Tumor Growth?

Betancourt-Mar¹,

Cocho²,

Mansilla³

et al. 2017

Insights in Biomed

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“…In a previous work [31] we have shown that the rate of entropy production is a Lyapunov function, in fact we extended this formalism to the development of cancer [32,33,34,35,36,37]. Thus, we have the entropy production per unit time meets the necessary and sufficient conditions for Lyapunov function [30], such that , that allows us to affirm that the rate of entropy production is a Lyapunov function.…”

Section: Thermodynamics Frameworkmentioning

confidence: 86%

Deciphering the longevity of the mole-rats

Triana¹,

Cocho²,

Mansilla³

et al. 2018

IJOAR

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A theoretical model of a nonlinear network that outlines the general aspects of mole-rat resistance to age-related diseases, such as cancer and the action of ROS was elaborated. According to our conjecture, it was shown that the protection is established because hyaluronic acid of high molecular mass forms a non-linear network of interactions. That network leads to self-organization away from the thermodynamical equilibrium, which appears through a "first order" phase transition as a supercritical bifurcation of Andronov-Hopf type. Finally, it is shown how the rate of entropy production is a Lyapunov function of the dynamics of the process. Keywords:mole-rat

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“…In comparison to normal cells, cancer cells demonstrate higher rates of nutrient consumption [4,23], lower metabolic efficiency [11], and a higher entropy production rate [12,14,15,16]. Being inefficient might be generally considered as a competitive disadvantage.…”

Section: Discussionmentioning

confidence: 99%

“…From a thermodynamic point of view, cancer cells demonstrate lower metabolic efficiency [11], higher temperature and heat production [12,13], and a higher entropy production rate [12,14,15,16] in comparison to normal cells. Although inefficiency is generally considered a competitive disadvantage for living organisms, there should be an evolutionary advantage in this metabolic profile for cancer cells.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic Modeling of the Competition Between Cancer and Normal Cells

Ghuchani

2020

Journal of Non-Equilibrium Thermodynamics

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One of the recognized differences between normal and cancer cells is in their metabolic profile. Tumor cells tend to produce energy through glycolysis rather than the much more efficient oxidative phosphorylation pathway, which healthy cells generally prefer. This phenomenon is identified as the Warburg effect. Although several functional explanations have been proposed for the Warburg effect, the competitive advantage of it is still subject of debate. Here we present a thermodynamic model to simulate the competition of cancer and normal cells in terms of bioenergetics. Our model shows that the Warburg effect has an advantage because the entropy production rate is increased and metabolic efficiency is decreased for cancer cells. Although inefficiency is generally considered a competitive disadvantage for living organisms, the thermodynamic model shows that it is not always the case. Indeed, when the energy resources are abundant and the system has a limited ability to export entropy, the organism with a higher rate of entropy production will have a higher chance of survival despite its lower metabolic efficiency. This thermodynamic model predicts that as long as there are enough nutrients in circulating blood, there are two thermodynamic strategies to control cancer cell populations, i. e., (i) decreasing the entropy production rate of cancer cells and (ii) increasing normal cells’ entropy production rate.

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Phase transitions in tumor growth: II prostate cancer cell lines

Cited by 19 publications

References 16 publications

What Can Be Learned from A Phase Transitions in Tumor Growth?

What Can Be Learned from A Phase Transitions in Tumor Growth?

Deciphering the longevity of the mole-rats

Thermodynamic Modeling of the Competition Between Cancer and Normal Cells

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