Εμφάνιση απλής εγγραφής

dc.creatorToy H.I., Karakülah G., Kontou P.I., Alotaibi H., Georgakilas A.G., Pavlopoulou A.en
dc.date.accessioned2023-01-31T10:09:24Z
dc.date.available2023-01-31T10:09:24Z
dc.date.issued2021
dc.identifier10.3389/fcell.2021.620248
dc.identifier.issn2296634X
dc.identifier.urihttp://hdl.handle.net/11615/79750
dc.description.abstractEradication of cancer cells through exposure to high doses of ionizing radiation (IR) is a widely used therapeutic strategy in the clinical setting. However, in many cases, cancer cells can develop remarkable resistance to radiation. Radioresistance represents a prominent obstacle in the effective treatment of cancer. Therefore, elucidation of the molecular mechanisms and pathways related to radioresistance in cancer cells is of paramount importance. In the present study, an integrative bioinformatics approach was applied to three publicly available RNA sequencing and microarray transcriptome datasets of human cancer cells of different tissue origins treated with ionizing radiation. These data were investigated in order to identify genes with a significantly altered expression between radioresistant and corresponding radiosensitive cancer cells. Through rigorous statistical and biological analyses, 36 genes were identified as potential biomarkers of radioresistance. These genes, which are primarily implicated in DNA damage repair, oxidative stress, cell pro-survival, and apoptotic pathways, could serve as potential diagnostic/prognostic markers cancer cell resistance to radiation treatment, as well as for therapy outcome and cancer patient survival. In addition, our findings could be potentially utilized in the laboratory and clinical setting for enhancing cancer cell susceptibility to radiation therapy protocols. © Copyright © 2021 Toy, Karakülah, Kontou, Alotaibi, Georgakilas and Pavlopoulou.en
dc.language.isoenen
dc.sourceFrontiers in Cell and Developmental Biologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85104633412&doi=10.3389%2ffcell.2021.620248&partnerID=40&md5=7123c778b01ed37db6c16894e75816f5
dc.subjectATM proteinen
dc.subjectATR proteinen
dc.subjectbaculoviral IAP repeat containing protein 5en
dc.subjectBRCA1 proteinen
dc.subjectBRCA2 proteinen
dc.subjectcaspase 3en
dc.subjectccnd1 proteinen
dc.subjectcheckpoint kinase 1en
dc.subjectDNAen
dc.subjectDNA mismatch repair protein MSH2en
dc.subjectegln1 proteinen
dc.subjecthypoxia inducible factor 1alphaen
dc.subjectimmunoglobulin enhancer binding proteinen
dc.subjectJanus kinase 1en
dc.subjectmammalian target of rapamycinen
dc.subjectmanganese superoxide dismutaseen
dc.subjectmap2k1 proteinen
dc.subjectmap2k2 proteinen
dc.subjectmicrotubule associated protein 2en
dc.subjectnbn proteinen
dc.subjectnfkbia proteinen
dc.subjectnicotinamide adenine dinucleotide adenosine diphosphate ribosyltransferase 1en
dc.subjectnucleotideen
dc.subjectphosphatidylinositol 3 kinaseen
dc.subjectphosphatidylinositol 3,4,5 trisphosphate 3 phosphataseen
dc.subjectpmaip1 proteinen
dc.subjectpolo like kinase 1en
dc.subjectprkdc proteinen
dc.subjectprotein Baxen
dc.subjectprotein bcl 2en
dc.subjectprotein c junen
dc.subjectprotein kinase Ben
dc.subjectprotein mcl 1en
dc.subjectprotein MSH6en
dc.subjectprotein p53en
dc.subjectPUMA proteinen
dc.subjectrnf8 proteinen
dc.subjectSTAT1 proteinen
dc.subjectSTAT3 proteinen
dc.subjecttelomeric repeat binding factor 2en
dc.subjecttranscription factor RelAen
dc.subjecttranscriptomeen
dc.subjecttransforming growth factor betaen
dc.subjectube2d3 proteinen
dc.subjectunclassified drugen
dc.subjectX linked inhibitor of apoptosisen
dc.subjectapoptosisen
dc.subjectArticleen
dc.subjectbioinformaticsen
dc.subjectcancer cellen
dc.subjectcancer controlen
dc.subjectcancer radiotherapyen
dc.subjectcancer resistanceen
dc.subjectcancer survivalen
dc.subjectclinical laboratoryen
dc.subjectclinical outcomeen
dc.subjectcontrolled studyen
dc.subjectDNA repairen
dc.subjectgene expressionen
dc.subjectgene expression levelen
dc.subjectgene expression profilingen
dc.subjectgenetic identificationen
dc.subjecthumanen
dc.subjecthuman cellen
dc.subjectionizing radiationen
dc.subjectmetastasisen
dc.subjectmicroarray analysisen
dc.subjectmolecular biologyen
dc.subjectoxidative stressen
dc.subjectradiosensitivityen
dc.subjectRNA sequencingen
dc.subjectsurvival analysisen
dc.subjecttranscriptomicsen
dc.subjecttumor recurrenceen
dc.subjectFrontiers Media S.A.en
dc.titleInvestigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approachen
dc.typejournalArticleen


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