Publication:
A molecular hypothesis to explain direct and inverse co-morbidities between Alzheimer's Disease, Glioblastoma and Lung cancer

dc.contributor.authorSánchez-Valle, Jon
dc.contributor.authorTejero, Héctor
dc.contributor.authorIbáñez, Kristina
dc.contributor.authorPortero, José Luis
dc.contributor.authorKrallinger, Martin
dc.contributor.authorAl-Shahrour, Fatima
dc.contributor.authorTabarés-Seisdedos, Rafael
dc.contributor.authorBaudot, Anaïs
dc.contributor.authorValencia, Alfonso
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
dc.contributor.funderGeneralitat Valenciana (España)
dc.date.accessioned2019-04-05T08:23:46Z
dc.date.available2019-04-05T08:23:46Z
dc.date.issued2017-06-30
dc.description.abstractEpidemiological studies indicate that patients suffering from Alzheimer's disease have a lower risk of developing lung cancer, and suggest a higher risk of developing glioblastoma. Here we explore the molecular scenarios that might underlie direct and inverse co-morbidities between these diseases. Transcriptomic meta-analyses reveal significant numbers of genes with inverse patterns of expression in Alzheimer's disease and lung cancer, and with similar patterns of expression in Alzheimer's disease and glioblastoma. These observations support the existence of molecular substrates that could at least partially account for these direct and inverse co-morbidity relationships. A functional analysis of the sets of deregulated genes points to the immune system, up-regulated in both Alzheimer's disease and glioblastoma, as a potential link between these two diseases. Mitochondrial metabolism is regulated oppositely in Alzheimer's disease and lung cancer, indicating that it may be involved in the inverse co-morbidity between these diseases. Finally, oxidative phosphorylation is a good candidate to play a dual role by decreasing or increasing the risk of lung cancer and glioblastoma in Alzheimer's disease.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Economics and Competitiveness (grant No’s BIO2012-40205 and BFU2015-71241-R) and it was carried out in the framework of the Platform for Biomolecular and Bioinformatics Resource (PT 13/0001/0030 of the ISCIII), which is funded through the European Regional Development Fund (ERDF). RT-S acknowledges funding from the Generalitat Valenciana (PROMETEOII/2015/021) and the national grant PI14/00894 from the Spanish “Plan Nacional de I+ D + I 2013-2016,” co-funded by the “ISCIII-Subdirección General de Evaluación y el Fondo Europeo de DesarrolloRegional (FEDER).es_ES
dc.format.number1es_ES
dc.format.page4474es_ES
dc.format.volume7es_ES
dc.identifier.citationSci Rep. 2017 ;7(1):4474es_ES
dc.identifier.doi10.1038/s41598-017-04400-6es_ES
dc.identifier.e-issn2045-2322es_ES
dc.identifier.issn2045-2322es_ES
dc.identifier.journalScientific reportses_ES
dc.identifier.pubmedID28667284es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7438
dc.language.isoenges_ES
dc.publisherNature Publishing Group
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BIO2012-40205es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/BFU2015-71241-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PT 13/0001/0030es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PROMETEOII/2015/021es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI14/00894es_ES
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-017-04400-6.es_ES
dc.repisalud.institucionCNIOes_ES
dc.repisalud.orgCNIOCNIO::Grupos de investigación::Grupo de Biología Computacional Estructurales_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshAlzheimer Diseasees_ES
dc.subject.meshBiomarkerses_ES
dc.subject.meshComorbidityes_ES
dc.subject.meshDisease Susceptibilityes_ES
dc.subject.meshGene Expressiones_ES
dc.subject.meshGenetic Variationes_ES
dc.subject.meshGlioblastomaes_ES
dc.subject.meshHumanses_ES
dc.subject.meshLung Neoplasmses_ES
dc.subject.meshModels, Biologicales_ES
dc.subject.meshReactive Oxygen Specieses_ES
dc.subject.meshSignal Transductiones_ES
dc.titleA molecular hypothesis to explain direct and inverse co-morbidities between Alzheimer's Disease, Glioblastoma and Lung canceres_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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