OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine

UDC.coleccionInvestigaciónes_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvRedes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR)es_ES
UDC.grupoInvRNASA - IMEDIR (INIBIC)es_ES
UDC.institutoCentroINIBIC - Instituto de Investigacións Biomédicas de A Coruñaes_ES
UDC.journalTitleScientific Reportses_ES
UDC.startPage5285es_ES
UDC.volume10es_ES
dc.contributor.authorLópez-Cortés, Andrés
dc.contributor.authorPaz-y-Miño, César
dc.contributor.authorGuerrero, Santiago
dc.contributor.authorCabrera-Andrade, Alejandro
dc.contributor.authorMunteanu, Cristian-Robert
dc.contributor.authorGonzález-Díaz, Humberto
dc.contributor.authorPazos, A.
dc.contributor.authorPérez-Castillo, Yunierkis
dc.contributor.authorTejera, Eduardo
dc.contributor.authorBarigye, Stephen J.
dc.date.accessioned2020-04-03T10:04:01Z
dc.date.available2020-04-03T10:04:01Z
dc.date.issued2020-03-24
dc.description.abstract[Abstract] Breast cancer (BC) is the leading cause of cancer-related death among women and the most commonly diagnosed cancer worldwide. Although in recent years large-scale efforts have focused on identifying new therapeutic targets, a better understanding of BC molecular processes is required. Here we focused on elucidating the molecular hallmarks of BC heterogeneity and the oncogenic mutations involved in precision medicine that remains poorly defined. To fill this gap, we established an OncoOmics strategy that consists of analyzing genomic alterations, signaling pathways, protein-protein interactome network, protein expression, dependency maps in cell lines and patient-derived xenografts in 230 previously prioritized genes to reveal essential genes in breast cancer. As results, the OncoOmics BC essential genes were rationally filtered to 140. mRNA up-regulation was the most prevalent genomic alteration. The most altered signaling pathways were associated with basal-like and Her2-enriched molecular subtypes. RAC1, AKT1, CCND1, PIK3CA, ERBB2, CDH1, MAPK14, TP53, MAPK1, SRC, RAC3, BCL2, CTNNB1, EGFR, CDK2, GRB2, MED1 and GATA3 were essential genes in at least three OncoOmics approaches. Drugs with the highest amount of clinical trials in phases 3 and 4 were paclitaxel, docetaxel, trastuzumab, tamoxifen and doxorubicin. Lastly, we collected ~3,500 somatic and germline oncogenic variants associated with 50 essential genes, which in turn had therapeutic connectivity with 73 drugs. In conclusion, the OncoOmics strategy reveals essential genes capable of accelerating the development of targeted therapies for precision oncology.es_ES
dc.description.sponsorshipInstituto de Salud Carlos III; PI17/01826es_ES
dc.identifier.citationLópez-Cortés A, Paz-y-Miño C, Guerrero S, et al. OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine. Sci Rep. 2020; 10:5285es_ES
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/2183/25298
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relation.urihttps://doi.org/10.1038/s41598-020-62279-2es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleOncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicinees_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationfac98c9d-7cc7-4b09-bbb1-1068637fc73f
relation.isAuthorOfPublicationfa192a4c-bffd-4b23-87ae-e68c29350cdc
relation.isAuthorOfPublication.latestForDiscoveryfac98c9d-7cc7-4b09-bbb1-1068637fc73f

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