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dc.contributor.authorPérez-García, Víctor M
dc.contributor.authorCalvo, Gabriel F
dc.contributor.authorBosque, Jesús J
dc.contributor.authorLeón-Triana, Odelaisy
dc.contributor.authorJiménez, Juan
dc.contributor.authorPerez-Beteta, Julián
dc.contributor.authorBelmonte-Beitia, Juan
dc.contributor.authorZhu, Lucía
dc.contributor.authorGarcía-Gómez, Pedro
dc.contributor.authorSánchez-Gómez, Pilar
dc.contributor.authorHernández-San Miguel, Esther
dc.contributor.authorHortigüela, Rafael 
dc.contributor.authorAzimzade, Youness
dc.contributor.authorMolina-García, David
dc.contributor.authorMartinez, Álvaro
dc.contributor.authorRojas, Ángel Acosta
dc.contributor.authorde Mendivil, Ana Ortiz
dc.contributor.authorVallette, Francois
dc.contributor.authorSchucht, Philippe
dc.contributor.authorMurek, Michael
dc.contributor.authorPérez-Cano, María
dc.contributor.authorAlbillo, David
dc.contributor.authorHonguero Martínez, Antonio F
dc.contributor.authorJiménez Londoño, Germán A
dc.contributor.authorArana, Estanislao
dc.contributor.authorGarcía Vicente, Ana M
dc.contributor.authorValiente, Manuel 
dc.date.accessioned2021-04-20T07:49:50Z
dc.date.available2021-04-20T07:49:50Z
dc.date.issued2020-12-16
dc.identifier.citationNat Phys. 2020 ;16(12):1232-1237.es_ES
dc.identifier.issn1745-2473es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/12692
dc.description.abstractMost 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.es_ES
dc.description.sponsorshipThis research has been supported by the James S. McDonnell Foundation 21st Century Science Initiative in Mathematical and Complex Systems Approaches for Brain Cancer (collaborative awards 220020560 and 220020450), Ministerio de Economia y Competitividad/FEDER, Spain (grant no. MTM2015-71200-R), Junta de Comunidades de Castilla-La Mancha (grant no. SBPLY/17/180501/000154). Research in the Brain Metastasis Group is supported by MINECO grant MINECO-Retos SAF2017-89643-R (M.V.), Bristol-Myers Squibb Melanoma Research Alliance Young Investigator Award 2017 (498103) (M.V.), Beug Foundation's Prize for Metastasis Research 2017 (M.V.), Fundacion Ramon Areces (CIVP19S8163) (M.V.), Worldwide Cancer Research (19-0177) (M.V.), H2020-FETOPEN (828972) (M.V.), Fundacio La Marato de tv3 (141), Clinic and Laboratory Integration Program CRI Award 2018 (54545) (M.V.), AECC Coordinated Translational Groups 2017 (GCTRA16015SEOA) (M.V.), LAB AECC 2019 (LABAE19002VALI) (M.V.), La Caixa INPhINIT Fellowship (LCF/BQ/IN17/11620028) (P.G.-G.), La Caixa-Severo Ochoa International PhD Program Fellowship (LCF/BQ/SO16/52270014) (L.Z.). M.V. is a member of the European Molecular Biology Organization Young Investigators programme (4053). We would like to acknowledge J. Cervera and J. C. Penalver from the IVO Foundation (Valencia, Spain).es_ES
dc.language.isoenges_ES
dc.publisherNature Publishing Groupes_ES
dc.relation.isversionofPreprintes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectTUMOR-GROWTHes_ES
dc.subjectGENERAL-MODELes_ES
dc.subjectEVOLUTIONes_ES
dc.subjectPREDICTSes_ES
dc.subjectSURVIVALes_ES
dc.subjectRATESes_ES
dc.subjectPETes_ES
dc.titleUniversal scaling laws rule explosive growth in human cancers.es_ES
dc.typePre-printes_ES
dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.identifier.pubmedID33329756es_ES
dc.format.volume16es_ES
dc.format.number12es_ES
dc.format.page1232-1237es_ES
dc.identifier.doi10.1038/s41567-020-0978-6es_ES
dc.contributor.funderJames S. McDonnell Foundation 21st Century Science Initiative in Mathematical and Complex Systems Approaches for Brain Canceres_ES
dc.contributor.funderEuropean Regional Development Fund (ERDF/FEDER)es_ES
dc.contributor.funderJunta de Comunidades de Castilla-La Manchaes_ES
dc.contributor.funderMinisterio de Economia y Competividad (MINECO)es_ES
dc.contributor.funderBristol-Myers Squibbes_ES
dc.contributor.funderBeug Foundation's Prize for Metastasis Research 2017es_ES
dc.contributor.funderFundacion Ramon Areceses_ES
dc.contributor.funderWorldwide Cancer Researches_ES
dc.contributor.funderH2020-FETOPENes_ES
dc.contributor.funderFundacio La Marato de TV3es_ES
dc.contributor.funderClinic and Laboratory Integration Program CRI Award 2018es_ES
dc.contributor.funderAECC Coordinated Translational Groups 2017es_ES
dc.contributor.funderLAB AECC 2019es_ES
dc.contributor.funderLa Caixa INPhINIT Fellowshipes_ES
dc.contributor.funderLa Caixa-Severo Ochoa International PhD Program Fellowshipes_ES
dc.contributor.funderEuropean Molecular Biology Organization Young Investigators programmees_ES
dc.description.peerreviewedNoes_ES
dc.relation.publisherversionhttps://doi.org/10.1038/s41567-020-0978-6es_ES
dc.identifier.journalNature physicses_ES
dc.repisalud.institucionCNIOes_ES
dc.repisalud.orgCNIOCNIO::Grupos de investigación::Grupo de Metástasis Cerebrales_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/MTM2015-71200-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/SBPLY/17/180501/000154es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/SAF2017-89643-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/828972es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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