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Universal scaling laws rule explosive growth in human cancers.
Pérez-García, Víctor M; Calvo, Gabriel F; Bosque, Jesús J; León-Triana, Odelaisy; Jiménez, Juan; Perez-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; Rojas, Ángel Acosta; de Mendivil, Ana Ortiz; 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.
Afiliación
  • Pérez-García VM; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Calvo GF; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Bosque JJ; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • León-Triana O; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Jiménez J; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Perez-Beteta J; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Belmonte-Beitia J; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Valiente M; Brain Metastasis Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
  • Zhu L; Brain Metastasis Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
  • García-Gómez P; Brain Metastasis Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
  • Sánchez-Gómez P; Neuro-oncology Unit, Health Institute Carlos III-UFIEC, Madrid, Spain.
  • Hernández-San Miguel E; Neuro-oncology Unit, Health Institute Carlos III-UFIEC, Madrid, Spain.
  • Hortigüela R; Neuro-oncology Unit, Health Institute Carlos III-UFIEC, Madrid, Spain.
  • Azimzade Y; Department of Physics, University of Tehran, Iran.
  • Molina-García D; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Martinez Á; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Rojas ÁA; Department of Mathematics, Universidad de Cádiz, Spain.
  • de Mendivil AO; Department of Radiation Oncology, Sanchinarro University Hospital, HM Hospitales, Spain.
  • Vallette F; Department of Neuroradiology, Sanchinarro University Hospital, HM Hospitales, Spain.
  • Schucht P; Inserm U1232, Centre de Recherche en Cancérologie et Immunologie Nantes-Angers, Nantes, F-44007, France.
  • Murek M; Neurosurgery Clinic, Bern Insespital, Switzerland.
  • Pérez-Cano M; Neurosurgery Clinic, Bern Insespital, Switzerland.
  • Albillo D; Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Spain.
  • Honguero Martínez AF; Radiology Unit, MD Anderson Cancer Center, Madrid, Spain.
  • Jiménez Londoño GA; Thoracic Surgery Unit, Hospital General Universitario de Albacete, Spain.
  • Arana E; Nuclear Medicine Unit, Hospital General Universitario de Ciudad Real, Spain.
  • García Vicente AM; Fundación Instituto Valenciano de Oncología, Spain.
Nat Phys ; 16(12): 1232-1237, 2020 Dec.
Article en En | MEDLINE | ID: mdl-33329756
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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Phys Año: 2020 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Phys Año: 2020 Tipo del documento: Article País de afiliación: España
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