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oai:repisalud.isciii.es:20.500.12105/126922025-04-04T10:19:20Zcom_20.500.12105_17008com_20.500.12105_2173com_20.500.12105_2051com_20.500.12105_2052col_20.500.12105_17010col_20.500.12105_19597col_20.500.12105_19617

00925njm 22002777a 4500 dc Pérez-García, Víctor M author Calvo, Gabriel F author Bosque, Jesús J author León-Triana, Odelaisy author Jiménez, Juan author Perez-Beteta, Julián author Belmonte-Beitia, Juan author Zhu, Lucía author García-Gómez, Pedro author Sánchez-Gómez, Pilar author Hernandez-SanMiguel, Esther author Hortigüela, Rafael author Azimzade, Youness author Molina-García, David author Martinez, Álvaro author Acosta Rojas, Ángel author Ortiz de Mendivil, Ana author Vallette, Francois author Schucht, Philippe author Murek, Michael author Pérez-Cano, María author Albillo, David author Honguero Martínez, Antonio F author Jiménez Londoño, Germán A author Arana, Estanislao author García Vicente, Ana M author Valiente, Manuel author 2020-12-16 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. Nat Phys. 2020 ;16(12):1232-1237. 10.1038/s41567-020-0978-6 1745-2473 Nature physics https://pmc.ncbi.nlm.nih.gov/articles/PMC7116451/ 33329756 http://hdl.handle.net/20.500.12105/12692 TUMOR-GROWTH GENERAL-MODEL EVOLUTION PREDICTS SURVIVAL RATES PET Universal scaling laws rule explosive growth in human cancers