| Literature DB >> 33329756 |
Víctor M Pérez-García1, Gabriel F Calvo1, Jesús J Bosque1, Odelaisy León-Triana1, Juan Jiménez1, Julián Perez-Beteta1, Juan Belmonte-Beitia1, Manuel Valiente2, Lucía Zhu2, Pedro García-Gómez2, Pilar Sánchez-Gómez3, Esther Hernández-San Miguel3, Rafael Hortigüela3, Youness Azimzade4, David Molina-García1, Álvaro Martinez1,5, Ángel Acosta Rojas6, Ana Ortiz de Mendivil7, Francois Vallette8, Philippe Schucht9, Michael Murek9, María Pérez-Cano1, David Albillo10, Antonio F Honguero Martínez11, Germán A Jiménez Londoño12, Estanislao Arana13, Ana M García Vicente12.
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.Entities:
Year: 2020 PMID: 33329756 PMCID: PMC7116451 DOI: 10.1038/s41567-020-0978-6
Source DB: PubMed Journal: Nat Phys ISSN: 1745-2473 Impact factor: 20.034