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Cancer Lett. 2015 Nov 28;368(2):164-72. doi: 10.1016/j.canlet.2015.03.021. Epub 2015 Apr 1.

Emerging molecular networks common in ionizing radiation, immune and inflammatory responses by employing bioinformatics approaches.

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Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou 15780, Athens, Greece.
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia 35100, Greece.
Department of Biochemistry and Molecular Biology, National and Kapodistrian University of Athens, Zografou Campus, Athens 15701, Greece.
Centre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 4 Soranou Efesiou, Athens 11527, Greece.
Centre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 4 Soranou Efesiou, Athens 11527, Greece. Electronic address:


Efficient radiation therapy is characterized by enhanced tumor cell killing involving the activation of the immune system (tumor immunogenicity) but at the same time minimizing chronic inflammation and radiation adverse effects in healthy tissue. The aim of this study was to identify gene products involved in immune and inflammatory responses upon exposure to ionizing radiation by using various bioinformatic tools. Ionizing radiation is known to elicit different effects at the level of cells and organism i.e. DNA Damage Response (DDR), DNA repair, apoptosis and, most importantly, systemic effects through the instigation of inflammatory 'danger' signals and innate immune response activation. Genes implicated both in radiation and immune/inflammatory responses were collected manually from the scientific literature with a combination of relevant keywords. The experimentally validated and literature-based results were inspected, and genes involved in radiation, immune and inflammatory response were pooled. This kind of analysis was performed for the first time, for both healthy and tumor tissues. In this way, a set of 24 genes common in all three different phenomena was identified. These genes were found to form a highly connected network. Useful conclusions are drawn regarding the potential application of these genes as markers of response to radiation for both healthy and tumor tissues through the modulation of immune and/or inflammatory mechanisms.


Bioinformatics; Biomarkers; Immune response; Inflammatory response; Ionizing radiation; Pathways

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