A theoretical cell-killing model to evaluate oxygen enhancement ratios at DNA damage and cell survival endpoints in radiation therapy

Matsuya, Yusuke; Sato, Tatsuhiko; Nakamura, Rui; Naijo, Shingo; Date, Hiroyuki

A theoretical cell-killing model to evaluate oxygen enhancement ratios at DNA damage and cell survival endpoints in radiation therapy

Matsuya, Yusuke; Sato, Tatsuhiko; Nakamura, Rui et al.

Physics in medicine and biology, 2020, 65(9), 095006

Permalink : https://hdl.handle.net/2115/81071

このアイテムのアクセス数:486件（2026-08-17 14:53 集計）

閲覧可能ファイル

ファイル	フォーマット	サイズ	閲覧回数	説明
Matsuya Y_2020_Phys.Med.Biol	pdf	1.26 MB	629

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

アクセス権	open access
URI	https://hdl.handle.net/2115/81071
タイトル	A theoretical cell-killing model to evaluate oxygen enhancement ratios at DNA damage and cell survival endpoints in radiation therapy
著者	Matsuya, Yusuke ; Sato, Tatsuhiko ; Nakamura, Rui ; Naijo, Shingo ; Date, Hiroyuki
e-Rad_Researcher 20826929 著者名 Matsuya, Yusuke
e-Rad_Researcher 30354707 著者名 Sato, Tatsuhiko
著者名 Nakamura, Rui
著者名 Naijo, Shingo
e-Rad_Researcher 10197600 著者名 Date, Hiroyuki
言語	英語
キーワード	hypoxia
	oxygen enhancement ratio (OER)
	cell-killing model
	DNA damage
	cell survival
	biological effective dose (BED)
	Markov chain Monte Carlo (MCMC) simulation
発行日	2020-04-27
出版者	IOP Publishing
収録物名	Physics in medicine and biology
巻(号)	65(9)
ページ	095006
抄録	Radio-resistance induced under low oxygen pressure plays an important role in malignant progression in fractionated radiotherapy. For the general approach to predict cell killing under hypoxia, cell-killing models (e.g. the Linear-Quadratic model) have to be fitted to in vitro experimental survival data for both normoxia and hypoxia to obtain the oxygen enhancement ratio (OER). In such a case, model parameters for every oxygen condition needs to be considered by model-fitting approaches. This is inefficient for fractionated irradiation planning. Here, we present an efficient model for fractionated radiotherapy the integrated microdosimetric-kinetic model including cell-cycle distribution and the OER at DNA double-strand break endpoint (OERDSB). The cell survival curves described by this model can reproduce the in vitro experimental survival data for both acute and chronic low oxygen concentrations. The OERDSB used for calculating cell survival agrees well with experimental DSB ratio of normoxia to hypoxia. The important parameters of the model are oxygen pressure and cell-cycle distribution, which enables us to predict cell survival probabilities under chronic hypoxia and chronic anoxia. This work provides biological effective dose (BED) under various oxygen conditions including its uncertainty, which can contribute to creating fractionated regimens for multi-fractionated radiotherapy. If the oxygen concentration in a tumor can be quantified by medical imaging, the present model will make it possible to estimate the cell-killing and BED under hypoxia in more realistic intravital situations.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	This is an author-created, un-copyedited version of an article published in Physics in Medicine and Biology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://doi.org/10.1088/1361-6560/ab7d14.
PISSN	0031-9155
EISSN	1361-6560
関連情報	PMID 32135526
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1088/1361-6560/ab7d14