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Universal scaling laws rule explosive growth in human cancers
Title: | Universal scaling laws rule explosive growth in human cancers |
Authors : | Pérez-García, Víctor M. Fernández Calvo, Gabriel Bosque, Jesús J. León-Triana, Odelaisy Jiménez, Juan Pérez-Beteta, Julián Belmonte-Beitia, Juan Valiente, Manuel Zhu, Lucía García Gómez, Pedro Sánchez Gómez, Pilar Hernández-San Miguel, Esther Hortigüela, Rafael Azimzade, Youness Molina-García, David Martinez, Álvaro Acosta Rojas, Ángel Ortiz de Mendivil Arrate, Ana Vallette, Francois Schucht, Philippe Murek, Michael Pérez-Cano, María Albillo, David Honguero Martínez, Antonio F. Jiménez Londoño, Germán A. Arana, Estanislao García Vicente, Ana M. |
Keywords: | Metabolic scaling laws; Human cancers; Mathematical models; PET/CT imaging |
Publisher: | Nature Research |
Citation: | Pérez-García VM, Calvo GF, Bosque JJ, León-Triana O, Jiménez J, Perez-Beteta J, Belmonte-Beitia J, Valiente M, Zhu L, García-Gómez P, Sánchez-Gómez P, Hernández-San Miguel E, Hortigüela R, Azimzade Y, Molina-García D, Martinez Á, Rojas ÁA, de Mendivil AO, Vallette F, Schucht P, Murek M, Pérez-Cano M, Albillo D, Honguero Martínez AF, Jiménez Londoño GA, Arana E, García Vicente AM. Universal scaling laws rule explosive growth in human cancers. Nat Phys. 2020 Dec;16(12):1232-1237. doi: 10.1038/s41567-020-0978-6. Epub 2020 Aug 10. |
Abstract: | Most physical and other natural systems are complex entities composed of a large number of interacting individual elements. It is a surprising fact that they often obey the so-called scaling laws relating an observable quantity with a measure of the size of the system. Here we describe the discovery of universal superlinear metabolic scaling laws in human cancers. This dependence underpins increasing tumour aggressiveness, due to evolutionary dynamics, which leads to an explosive growth as the disease progresses. We validated this dynamic using longitudinal volumetric data of different histologies from large cohorts of cancer patients. To explain our observations we put forward increasingly-complex biologically-inspired mathematical models that captured the key processes governing tumor growth. Our models predicted that the emergence of superlinear allometric scaling laws is an inherently three-dimensional phenomenon. Moreover, the scaling laws thereby identified allowed us to define a set of metabolic metrics with prognostic value, thus providing added clinical utility to the base findings. |
URI: | http://hdl.handle.net/10637/15400 |
Rights : | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es |
ISSN: | 1745-2473 |
Issue Date: | 10-Aug-2020 |
Center : | Universidad San Pablo-CEU |
Appears in Collections: | Medicina |
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