Molecular mechanisms of radiation resistance in colorectal cancer: in silico identification of AURKA, BIRC5 and PLK1 proteins as potential biomarkers

dc.centroFacultad de Medicinaes_ES
dc.contributor.authorRodríguez-García, Marta
dc.contributor.authorBurgos-Molina, Antonio Manuel
dc.contributor.authorGonzález Vidal, Alejandro
dc.contributor.authorSendra-Portero, Francisco
dc.contributor.authorBernal, Manuel
dc.contributor.authorRuiz-Gómez, Miguel José
dc.date.accessioned2025-07-29T09:19:21Z
dc.date.available2025-07-29T09:19:21Z
dc.date.issued2025
dc.departamentoRadiología y Medicina Física, Oftalmología y Otorrinolaringologíaes_ES
dc.description.abstractPurpose:  The development of radiation resistance by tumor cells severely affects the survival of colorectal cancer patients. The aim of this work is to study the molecular mechanisms involved in the resistance to radiotherapy treatment in colorectal cancer and the identification of key genes as possible biomarkers. Methods:  Data mining was performed in PubMed with the keywords ‘colorectal neoplasms’, ‘radiotherapy’, and ‘resistance’, generating a total of 242 articles in which a series of inclusion and exclusion criteria were applied to select the articles of interest. Then, an in-silico analysis of the selected genes was performed with the bioinformatic tools: GeneCodis, Metascape, KEGG, REACTOME, STRING, STITCH, CHEA3, DGIdb, CTD, and GEPIA. Results:  Different mechanisms and genes involved in radiation resistance were described. These are related to evasion of apoptosis, cell cycle dysregulation, epithelial-mesenchymal transition, and repair of DNA breaks, with the last one being the most relevant and influential. The In-silico study carried out with 21 genes involved in radiation resistance showed the implication of FoxO signaling and EGFR tyrosine kinase inhibitor resistance as the most enriched pathways. In addition, the study identified the key proteins AURKA, BIRC5, and PLK1, showing multiple interacting chemicals and drugs; such as tamoxifen, omacetaxine mepesuccinate, and hydroxyzine pamoate, among others. Conclusion:  The identification of multiple transcription factors that regulate the expression of these key genes as well as the validation in patient samples where higher expression is observed in tumor patients, conserved across tumor stages I-IV, suggests their potential as possible biomarkers.es_ES
dc.description.sponsorshipA.4. Fellowship (‘Ayudas para la Incorporación de Doctores’), II Plan Propio (University of Málaga)es_ES
dc.identifier.citationMarta Rodríguez-García, Antonio M. Burgos-Molina, Alejandro González-Vidal, Francisco Sendra-Portero, Manuel Bernal & Miguel J. Ruiz-Gómez (2025) Molecular mechanisms of radiation resistance in colorectal cancer: in silico identification of AURKA, BIRC5 and PLK1 proteins as potential biomarkers, International Journal of Radiation Biology, 101:7, 685-697, DOI: 10.1080/09553002.2025.2496079es_ES
dc.identifier.doi10.1080/09553002.2025.2496079
dc.identifier.urihttps://hdl.handle.net/10630/39558
dc.language.isoenges_ES
dc.publisherTaylor & Francises_ES
dc.relation.projectIDJuan de la Cierva–Incorporation Program (IJC2018-037657-I), Spanish Ministry of Science and Innovationes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsembargoed accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCáncer colorrectales_ES
dc.subjectRadioterapiaes_ES
dc.subject.otherColorectal canceres_ES
dc.subject.otherradiotherapyes_ES
dc.subject.otherresistancees_ES
dc.subject.otherionizing radiationes_ES
dc.subject.otherradiosensitivityes_ES
dc.subject.othermolecular markeres_ES
dc.titleMolecular mechanisms of radiation resistance in colorectal cancer: in silico identification of AURKA, BIRC5 and PLK1 proteins as potential biomarkerses_ES
dc.typejournal articlees_ES
dc.type.hasVersionAMes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationde49c054-e443-41f5-94e9-bd9c022959e9
relation.isAuthorOfPublicationa20ee7c3-c7bd-4428-b55f-69943bd94e4b
relation.isAuthorOfPublication52572afd-4d3c-4c34-82a7-3774888d42e1
relation.isAuthorOfPublication.latestForDiscoveryde49c054-e443-41f5-94e9-bd9c022959e9

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