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Universal scaling laws rule explosive growth in human cancers


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Título : Universal scaling laws rule explosive growth in human cancers
Autor : 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.
Materias: Metabolic scaling lawsHuman cancersMathematical modelsPET/CT imaging
Editorial : Nature Research
Citación : 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.
Resumen : 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
Derechos: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
ISSN : 1745-2473
Fecha de publicación : 10-ago-2020
Centro : Universidad San Pablo-CEU
Aparece en las colecciones: Medicina





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