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dc.contributor.authorCabrera-Andrade, Alejandro
dc.contributor.authorLópez-Cortés, Andrés
dc.contributor.authorJaramillo-Koupermann, Gabriela
dc.contributor.authorPaz-Y-Miño, César
dc.contributor.authorPérez-Castillo, Yunierkis
dc.contributor.authorMUNTEANU -, CRISTIAN ROBERT
dc.contributor.authorGonzález-Díaz, Humbert
dc.contributor.authorPAZOS SIERRA, ALEJANDRO
dc.contributor.authorTejera, Eduardo
dc.date.accessioned2022-03-16T08:37:07Z
dc.date.available2022-03-16T08:37:07Z
dc.date.issued2020
dc.identifier.issn1661-6596
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pubmed/32033398es
dc.identifier.urihttp://hdl.handle.net/20.500.11940/16250
dc.description.abstractOsteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its molecular etiology has still not been determined with precision. Therefore, we applied a consensus strategy with the use of several bioinformatics tools to prioritize genes involved in its pathogenesis. Subsequently, we assessed the physical interactions of the previously selected genes and applied a communality analysis to this protein-protein interaction network. The consensus strategy prioritized a total list of 553 genes. Our enrichment analysis validates several studies that describe the signaling pathways PI3K/AKT and MAPK/ERK as pathogenic. The gene ontology described TP53 as a principal signal transducer that chiefly mediates processes associated with cell cycle and DNA damage response It is interesting to note that the communality analysis clusters several members involved in metastasis events, such as MMP2 and MMP9, and genes associated with DNA repair complexes, like ATM, ATR, CHEK1, and RAD51. In this study, we have identified well-known pathogenic genes for osteosarcoma and prioritized genes that need to be further explored.en
dc.rightsAtribución 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.meshComputational Biology*
dc.subject.meshBone Neoplasms*
dc.subject.meshHumans*
dc.subject.meshConsensus*
dc.subject.meshDNA Repair*
dc.subject.meshGene Ontology*
dc.subject.meshOsteosarcoma*
dc.subject.meshSignal Transduction*
dc.subject.meshGene Expression Regulation*
dc.subject.meshProtein Interaction Maps*
dc.subject.meshGene Regulatory Networks*
dc.titleGene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesisen
dc.typeJournal Articlees
dc.authorsophosCabrera-Andrade, Alejandro;López-Cortés, Andrés;Jaramillo-Koupermann, Gabriela;Paz-Y-Miño, César;Pérez-Castillo, Yunierkis;Munteanu, Cristian R;González-Díaz, Humbert;Pazos, Alejandro;Tejera, Eduardo
dc.identifier.doi10.3390/ijms21031053
dc.identifier.pmid32033398
dc.identifier.sophos36068
dc.issue.number3es
dc.journal.titleINTERNATIONAL JOURNAL OF MOLECULAR SCIENCESes
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Biomédica da Coruña (INIBIC)es
dc.relation.publisherversionhttps://mdpi-res.com/d://attachment/ijms/ijms-21-01053/article://deploy/ijms-21-01053.pdfes
dc.rights.accessRightsopenAccess
dc.subject.decsbiología computacional*
dc.subject.decsontología génica*
dc.subject.decsosteosarcoma*
dc.subject.decsconsenso*
dc.subject.decshumanos*
dc.subject.decsregulación de la expresión génica*
dc.subject.decsreparación del ADN*
dc.subject.decsmapas de interacciones proteicas*
dc.subject.decstransducción de señales*
dc.subject.decsneoplasias óseas*
dc.subject.decsredes génicas reguladoras*
dc.subject.keywordINIBICes
dc.typefidesArtículo Originales
dc.typesophosArtículo Originales
dc.volume.number21es


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Atribución 4.0 Internacional
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