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- W2517538468 abstract "Introduction Radiation induced bystander effect (RIBE) is dependent to several parameters including total dose, dose rate, radiation quality, tissue type and volume of tissue irradiated in radiotherapy. Purpose The present study was designed to assess uncertainties in high dose RIBE. Materials and methods In this study, we used QU-DB and MRC5 cell lines. One hour following irradiation the medium transfer technique was used to induce bystander effect. Three end point was used in this study are MTT assay (to evaluate percentage of survival), colony assay (to evaluate survival fraction) and MN assay (for assessing chromosome aberrations). Results RIBE in both MN and survival fractions was decreased in doses higher than 4 Gy in lung tumoral cell line. After these two tests, we ensured that bystander effect has actually decreased at doses above 4 Gy. In other words high doses of ionizing radiation can produce a “negative feedback”. We did the dilution assay to evaluate for finding the main reason of RIBE reduction. In this test, by reducing the dilution of transferred media, the bystander effect (MN formation) was recreated. Conclusions This observation verified the negative feedback theory and reject activation of repair systems by more biological signals induced in target cells (as another theory). According to our results and because the dose range we used in the present study are as same as doses used in high dose radiotherapy techniques (e.g. Radiosurgery, brachytherapy etc.), we concluded it is promising that normal tissues can be preserved during high dose radiotherapy from dead signals generated by irradiated tumors. Disclosure There is not any relationship that might lead to a conflict of interest. Mashhad University of Medical Sciences (MUMS) has financially supported this work." @default.
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- W2517538468 date "2016-09-01" @default.
- W2517538468 modified "2023-09-27" @default.
- W2517538468 title "High dose radiotherapy can be preserved normal tissues from bystander effects of irradiated tumors" @default.
- W2517538468 doi "https://doi.org/10.1016/j.ejmp.2016.07.569" @default.
- W2517538468 hasPublicationYear "2016" @default.
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