放射基因组学与放疗不良反应预测的研究现状

doi:10.3760/cma.j.issn.1004-4221.2017.06.024

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Abstract The occurrence and severity of radiotherapy-induced adverse events cannot be accounted for or predicted by therapeutic and clinical factors alone. Evidence suggests that genetic variants are associated with adverse effects following radiotherapy. Radiation genomics is the study of genetic variants associated with radiotherapy toxicity. Radiation genomics aims to develop a risk prediction model and uncover the biological mechanisms responsible for radiotherapy toxicity. With the advances in genomics and bioinformatics in the past two decades, radiation genomics has evolved from candidate gene studies to genome-wide association studies, with a series of progress. In this review, we will discuss the study background, design, approaches, challenges, and future directions for radiation genomics.

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	Articles by authors
	Liu Lipin
	Bi Nan
	Wang Lyuhua

Key words： Radiation Genomics Neoplasms/radiotherapy Adverse reactions

Received: 03 May 2016

Corresponding Authors: Wang Lyuhua,Email:wlhwq@yahoo.com

Cite this article:

Liu Lipin,Bi Nan,Wang Lyuhua. Current status of research on prediction of radiotherapy induced adverse reactions by radiation genomics[J]. Chinese Journal of Radiation Oncology, 2017, 26(6): 711-714.

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http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.issn.1004-4221.2017.06.024 OR http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2017/V26/I6/711

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