Individual features of radiation-induced genomic instability in patients with glioblastoma

TitleIndividual features of radiation-induced genomic instability in patients with glioblastoma
Publication TypeJournal Article
Year of Publication2020
AuthorsZemskova, OV, Glavatsky, OY, Kurinnyi, DA, Demchenko, OM, Rushkovsky, SR
Abbreviated Key TitleDopov. Nac. akad. nauk Ukr.
DOI10.15407/dopovidi2020.04.091
Issue4
SectionBiology
Pagination91-98
Date Published4/2020
LanguageUkrainian
Abstract

Using the method of Comet assay under neutral conditions, the features of individual radiation-induced genome instability in patients with glioblastoma was studied. It was found that, in the culture of peripheral blood lymphocytes of two patients with pathomorphologically verified glioblastoma (patients No. 1 and No. 3), the frequency of comets with a high level of DNA damage significantly exceeded the values in the cultures of blood lymphocytes of the comparison group. After irradiation in a dose of 1.0 Gy, the frequency of cells with a high DNA damage rate was increased in lymphocyte cultures of patients No. 2 and No. 3 and decreased in patient No. 1. Frequency analysis of the distribution of individual “comets” depending on their levels of DNA damage revealed the presence of a significant pool of cells in the lymphocyte cultures of patients No. 2 and No. 3 which stopped di vision at the S stage of the cell cycle. After the irradiation, the frequency of such cells in patient No. 3 decreased significantly. It was noted that apoptotic activity in cultures of lymphocytes of neuro-oncological patients was significantly higher than in cultures of conditionally healthy volunteers.

Keywordsapoptosis, Comet assay, glioblastoma, human peripheral blood lymphocytes culture, γ-irradiation
References: 

1. IARC (2018). Latest global cancer data: Cancer burden rises to 18.1 million new cases and 9.6 million cancer deaths in 2018. WHO. Press Release No. 263. Retrieved from https://www.iarc.fr/wp-content/uploads/2018/09/pr263_E.pdf
2. Ostrom, Q. T., Gittleman, H., Truitt, G., Boscia, A., Kruchko, C. & Barnholtz-Sloan, J. S. (2018). CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2011-2015. Neuro Oncol., 20, Suppl. 4, pp. iv1-iv86. Doi: https://doi.org/10.1093/neuonc/noy131
3. Dyomina, E. A. & Ryabchenko, N. M. (2007). Increased individual chromosomal radiosensitivity of human lymphocytes as a parameter of cancer risk. Exp. Oncol., 29, No. 3, pp. 217-220.
4. Borgmann, K., Hoeller, U., Nowack, S., Bernhard, M., Röper, B., Brackrock, S., Petersen, C., Szymczak, S., Ziegler, A., Feyer, P., Alberti, W. & Dikomey, E. (2008). Individual radiosensitivity measured with lymphocytes may predict the risk of acute reaction after radiotherapy. Int. J. Radiat. Oncol. Biol. Phys., 71, No. 1, pp. 256-264. Doi: https://doi.org/10.1016/j.ijrobp.2008.01.007
5. Han, W. & Yu, K. N. (2009). Response of cells to ionizing radiation. In Tjong, S. C. (Ed.). Advances in biomedical sciences and engineering (pp. 204-262). Oak Park, Illinois: Bentham Science Publishers Ltd. Doi: https://doi.org/10.2174/978160805040610901010204
6. Furlong, H., Mothersill, C., Lyng, F. M. & Howe, O. (2013). Apoptosis is signalled early by low doses of ionising radiation in a radiation-induced bystander effect. Mutat Res., 741-742, pp. 35-43. Doi: https://doi.org/10.1016/j.mrfmmm.2013.02.001
7. Foray, N., Bourguignon, M. & Hamada, N. (2016). Individual response to ionizing radiation. Mutat. Res., 770, Pt. B., pp. 369-386. Doi: https://doi.org/10.1016/j.mrrev.2016.09.001
8. Afanasieva, K., Zazhytska, M. & Sivolob, A. (2010). Kinetics of comet formation in single-cell gel electrophoresis: loops and fragments. Electrophoresis, 31, pp. 512-519. Doi: https://doi.org/10.1002/elps.200900421
9. Olive, P. L. & Banáth, J. P. (2006). The comet assay: a method to measure DNA damage in individual cells. Nature protocols, 1, No. 1, pp. 23-29. Doi: https://doi.org/10.1038/nprot.2006.5
10. Кurinnyi, D., Rushkovsky, S., Demchenko, O. & Pilinska, M. (2018). Astaxanthin as a modifier of genome instability after -radiation. In Zepka, L.Q., Jacob-Lopes, E. & Vera De Rosso, V. (Eds.). Progress in carotenoid research (pp. 121-138). London: IntechOpen. Doi: https://doi.org/10.5772/intechopen.79341
11. Kurinnyi, D. A., Rushkovsky, S. R., Demchenko, O. M. & Pilinska, M. A. (2018). Peculiarities of modification by astaxanthin of radiation-induced damages in the genome of human blood lymphocytes exposed in vitro on different stages of the mitotic cycle. Cytol. Genet., 52, No. 1, pp. 40-45. Doi: https://doi.org/10.3103/S0095452718010073
12. Gyori, B. M., Venkatachalam, G., Thiagarajan, P. S., Hsu, D. & Clement, M. (2014). OpenComet: an automated tool for comet assay image analysis. Redox Biol., 2, pp. 457-465. Doi: https://doi.org/10.1016/j.redox.2013.12.020
13. Rosner, B. (2015). Fundamentals of biostatistics. 8th ed. Boston: Cengage Learning.
14. Ahnström, G. & Erixon, K. (1981). Measurement of strand breaks by alkaline denaturation and hydroxyapatite chromatography. In Friedberg, E. C. & Hanawalt, P. C. (Eds.). DNA repair. a laboratory manual of research procedures (pp. 403-418). New York: Marcel Dekker.