dc.creator | Toy H.I., Karakülah G., Kontou P.I., Alotaibi H., Georgakilas A.G., Pavlopoulou A. | en |
dc.date.accessioned | 2023-01-31T10:09:24Z | |
dc.date.available | 2023-01-31T10:09:24Z | |
dc.date.issued | 2021 | |
dc.identifier | 10.3389/fcell.2021.620248 | |
dc.identifier.issn | 2296634X | |
dc.identifier.uri | http://hdl.handle.net/11615/79750 | |
dc.description.abstract | Eradication 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.iso | en | en |
dc.source | Frontiers in Cell and Developmental Biology | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104633412&doi=10.3389%2ffcell.2021.620248&partnerID=40&md5=7123c778b01ed37db6c16894e75816f5 | |
dc.subject | ATM protein | en |
dc.subject | ATR protein | en |
dc.subject | baculoviral IAP repeat containing protein 5 | en |
dc.subject | BRCA1 protein | en |
dc.subject | BRCA2 protein | en |
dc.subject | caspase 3 | en |
dc.subject | ccnd1 protein | en |
dc.subject | checkpoint kinase 1 | en |
dc.subject | DNA | en |
dc.subject | DNA mismatch repair protein MSH2 | en |
dc.subject | egln1 protein | en |
dc.subject | hypoxia inducible factor 1alpha | en |
dc.subject | immunoglobulin enhancer binding protein | en |
dc.subject | Janus kinase 1 | en |
dc.subject | mammalian target of rapamycin | en |
dc.subject | manganese superoxide dismutase | en |
dc.subject | map2k1 protein | en |
dc.subject | map2k2 protein | en |
dc.subject | microtubule associated protein 2 | en |
dc.subject | nbn protein | en |
dc.subject | nfkbia protein | en |
dc.subject | nicotinamide adenine dinucleotide adenosine diphosphate ribosyltransferase 1 | en |
dc.subject | nucleotide | en |
dc.subject | phosphatidylinositol 3 kinase | en |
dc.subject | phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase | en |
dc.subject | pmaip1 protein | en |
dc.subject | polo like kinase 1 | en |
dc.subject | prkdc protein | en |
dc.subject | protein Bax | en |
dc.subject | protein bcl 2 | en |
dc.subject | protein c jun | en |
dc.subject | protein kinase B | en |
dc.subject | protein mcl 1 | en |
dc.subject | protein MSH6 | en |
dc.subject | protein p53 | en |
dc.subject | PUMA protein | en |
dc.subject | rnf8 protein | en |
dc.subject | STAT1 protein | en |
dc.subject | STAT3 protein | en |
dc.subject | telomeric repeat binding factor 2 | en |
dc.subject | transcription factor RelA | en |
dc.subject | transcriptome | en |
dc.subject | transforming growth factor beta | en |
dc.subject | ube2d3 protein | en |
dc.subject | unclassified drug | en |
dc.subject | X linked inhibitor of apoptosis | en |
dc.subject | apoptosis | en |
dc.subject | Article | en |
dc.subject | bioinformatics | en |
dc.subject | cancer cell | en |
dc.subject | cancer control | en |
dc.subject | cancer radiotherapy | en |
dc.subject | cancer resistance | en |
dc.subject | cancer survival | en |
dc.subject | clinical laboratory | en |
dc.subject | clinical outcome | en |
dc.subject | controlled study | en |
dc.subject | DNA repair | en |
dc.subject | gene expression | en |
dc.subject | gene expression level | en |
dc.subject | gene expression profiling | en |
dc.subject | genetic identification | en |
dc.subject | human | en |
dc.subject | human cell | en |
dc.subject | ionizing radiation | en |
dc.subject | metastasis | en |
dc.subject | microarray analysis | en |
dc.subject | molecular biology | en |
dc.subject | oxidative stress | en |
dc.subject | radiosensitivity | en |
dc.subject | RNA sequencing | en |
dc.subject | survival analysis | en |
dc.subject | transcriptomics | en |
dc.subject | tumor recurrence | en |
dc.subject | Frontiers Media S.A. | en |
dc.title | Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach | en |
dc.type | journalArticle | en |