Artigo Acesso aberto Revisado por pares

Universal scaling laws rule explosive growth in human cancers

2020; Nature Portfolio; Volume: 16; Issue: 12 Linguagem: Inglês

10.1038/s41567-020-0978-6

ISSN

1745-2481

Autores

Vı́ctor M. Pérez-Garcı́a, Gabriel F. Calvo, Jesús J. Bosque, Odelaisy León-Triana, Juan Jiménez-Sánchez, Julián Pérez-Beteta, Juan Belmonte-Beitia, Manuel Valiente, Lucía Zhu, Pedro García‐Gómez, Pilar Sánchez‐Gómez, Esther Hernández‐SanMiguel, Rafael Hortigüela, Youness Azimzade, David Molina-García, Alvaro A. Martinez, Ángel Acosta Rojas, Ana Ortiz de Méndivil, François M. Vallette, Philippe Schucht, Michael Murek, M. Perez-Cano, David Albillo, Antonio Francisco Honguero Martínez, G.A. Jiménez Londoño, Estanislao Arana, Ana María García Vicente,

Tópico(s)

Evolution and Genetic Dynamics

Resumo

Most physical and other natural systems are complex entities that are composed of a large number of interacting individual elements. It is a surprising fact that they often obey the so-called scaling laws that relate an observable quantity to 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, owing to evolutionary dynamics, that leads to an explosive growth as the disease progresses. We validated this dynamic using longitudinal volumetric data of different histologies from large cohorts of patients with cancer. To explain our observations we tested complex, biologically inspired mathematical models that describe the key processes that govern tumour growth. Our models predict that the emergence of superlinear allometric scaling laws is an inherently three-dimensional phenomenon. Moreover, the scaling laws that we identified allowed us to define a set of metabolic metrics with prognostic value, which adds clinical utility to our findings. The authors investigate the relationship between the volume of malignant tumours and their metabolic processes using a large dataset of patients with cancer. They find that cancers follow a superlinear metabolic scaling law, which implies that the proliferation of cancer cells accelerates with increasing volume.

Referência(s)