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Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach

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 t...

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Autores principales: Toy, Halil Ibrahim, Karakülah, Gökhan, Kontou, Panagiota I., Alotaibi, Hani, Georgakilas, Alexandros G., Pavlopoulou, Athanasia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058375/
https://www.ncbi.nlm.nih.gov/pubmed/33898418
http://dx.doi.org/10.3389/fcell.2021.620248
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author Toy, Halil Ibrahim
Karakülah, Gökhan
Kontou, Panagiota I.
Alotaibi, Hani
Georgakilas, Alexandros G.
Pavlopoulou, Athanasia
author_facet Toy, Halil Ibrahim
Karakülah, Gökhan
Kontou, Panagiota I.
Alotaibi, Hani
Georgakilas, Alexandros G.
Pavlopoulou, Athanasia
author_sort Toy, Halil Ibrahim
collection PubMed
description 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.
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spelling pubmed-80583752021-04-22 Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach Toy, Halil Ibrahim Karakülah, Gökhan Kontou, Panagiota I. Alotaibi, Hani Georgakilas, Alexandros G. Pavlopoulou, Athanasia Front Cell Dev Biol Cell and Developmental Biology 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. Frontiers Media S.A. 2021-04-07 /pmc/articles/PMC8058375/ /pubmed/33898418 http://dx.doi.org/10.3389/fcell.2021.620248 Text en Copyright © 2021 Toy, Karakülah, Kontou, Alotaibi, Georgakilas and Pavlopoulou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Toy, Halil Ibrahim
Karakülah, Gökhan
Kontou, Panagiota I.
Alotaibi, Hani
Georgakilas, Alexandros G.
Pavlopoulou, Athanasia
Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach
title Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach
title_full Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach
title_fullStr Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach
title_full_unstemmed Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach
title_short Investigating Molecular Determinants of Cancer Cell Resistance to Ionizing Radiation Through an Integrative Bioinformatics Approach
title_sort investigating molecular determinants of cancer cell resistance to ionizing radiation through an integrative bioinformatics approach
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058375/
https://www.ncbi.nlm.nih.gov/pubmed/33898418
http://dx.doi.org/10.3389/fcell.2021.620248
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