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放射基因组学:放射肿瘤学中个性化治疗的前景?

Radiogenomics: the promise of personalized treatment in radiation oncology?

作者信息

Proud Carol

机构信息

Department of Radiation Oncology, University of Pennsylvania Medical Center in Philadelphia.

出版信息

Clin J Oncol Nurs. 2014 Apr;18(2):185-9. doi: 10.1188/14.CJON.185-189.

DOI:10.1188/14.CJON.185-189
PMID:24675253
Abstract

Significant variability exists in normal tissue reactions in patients with cancer receiving radiotherapy, with a subpopulation exhibiting increased toxicity to ionizing radiation. Genomic studies have proposed that single nucleotide polymorphisms in DNA repair genes, cytokines, and reactive oxygen species may play a role in clinical radiosensitivity. Additional research examining the association between genetic variants and radiation-induced inflammation and fibrosis may spur the development of targeted therapy in radiation oncology, which could increase cure rates and limit toxicity. As more people become long-term cancer survivors, oncology nurses must aggressively assess and manage late treatment side effects to optimize patient functioning and quality of life. The purpose of the current article is to describe the effect of ionizing radiation on normal and irradiated tissue, discuss genetic mutations that are proposed to influence radiosensitivity, and identify future areas of research on the association between genetics and radiation toxicity.

摘要

接受放射治疗的癌症患者正常组织反应存在显著差异,其中一部分人群对电离辐射的毒性反应增强。基因组研究表明,DNA修复基因、细胞因子和活性氧中的单核苷酸多态性可能在临床放射敏感性中起作用。进一步研究基因变异与辐射诱导的炎症和纤维化之间的关联,可能会推动放射肿瘤学靶向治疗的发展,从而提高治愈率并限制毒性。随着越来越多的人成为癌症长期幸存者,肿瘤护理人员必须积极评估和管理晚期治疗副作用,以优化患者的功能和生活质量。本文的目的是描述电离辐射对正常组织和受照射组织的影响,讨论被认为会影响放射敏感性的基因突变,并确定遗传学与辐射毒性关联方面未来的研究领域。

相似文献

1
Radiogenomics: the promise of personalized treatment in radiation oncology?放射基因组学:放射肿瘤学中个性化治疗的前景?
Clin J Oncol Nurs. 2014 Apr;18(2):185-9. doi: 10.1188/14.CJON.185-189.
2
Radiogenomics: towards a personalized radiation oncology.放射基因组学:迈向个性化放射肿瘤学
Curr Opin Pediatr. 2016 Dec;28(6):713-717. doi: 10.1097/MOP.0000000000000408.
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Radiogenomics offers promise of personalized radiation cancer therapy.放射基因组学为个性化放射癌症治疗带来了希望。
ONS Connect. 2014 Jun;29(2):38-9.
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Radiogenomics helps to achieve personalized therapy by evaluating patient responses to radiation treatment.放射基因组学通过评估患者对放射治疗的反应来帮助实现个性化治疗。
Carcinogenesis. 2015 Mar;36(3):307-17. doi: 10.1093/carcin/bgv007. Epub 2015 Jan 20.
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Single nucleotide polymorphisms of DNA repair genes as predictors of radioresponse.DNA 修复基因的单核苷酸多态性作为放射反应的预测因子。
Semin Radiat Oncol. 2010 Oct;20(4):232-40. doi: 10.1016/j.semradonc.2010.05.003.
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Radiogenomics - current status, challenges and future directions.放射组学——现状、挑战与未来方向。
Cancer Lett. 2016 Nov 1;382(1):127-136. doi: 10.1016/j.canlet.2016.01.035. Epub 2016 Jan 28.
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Genetic variations in DNA repair genes, radiosensitivity to cancer and susceptibility to acute tissue reactions in radiotherapy-treated cancer patients.DNA修复基因的遗传变异、癌症放疗敏感性及放疗癌症患者急性组织反应易感性
Acta Oncol. 2008;47(5):809-24. doi: 10.1080/02841860801885969.
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Genetic variation in normal tissue toxicity induced by ionizing radiation.电离辐射诱导的正常组织毒性中的遗传变异。
Mutat Res. 2009 Jul 10;667(1-2):58-69. doi: 10.1016/j.mrfmmm.2008.10.014. Epub 2008 Nov 5.
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The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism-Based Models: A Step Toward Prevention.使用基于单核苷酸多态性的模型预测放疗毒性:迈向预防的一步。
Semin Radiat Oncol. 2015 Oct;25(4):281-91. doi: 10.1016/j.semradonc.2015.05.006. Epub 2015 May 15.
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Prediction of normal tissue toxicity as part of the individualized treatment with radiotherapy in oncology patients.预测正常组织毒性,作为肿瘤患者放射治疗个体化治疗的一部分。
Surg Oncol. 2012 Sep;21(3):201-6. doi: 10.1016/j.suronc.2011.12.002. Epub 2011 Dec 29.

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Ann Gastroenterol Surg. 2021 Feb 1;5(4):427-435. doi: 10.1002/ags3.12437. eCollection 2021 Jul.
2
Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities.利用结构磁共振成像(MRI)预测胶质母细胞瘤患者的总生存期:高级影像组学特征可能弥补高级MRI模式的不足。
J Med Imaging (Bellingham). 2020 May;7(3):031505. doi: 10.1117/1.JMI.7.3.031505. Epub 2020 Jun 9.
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Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.
利用专家分割标签和放射组学特征推进癌症基因组图谱胶质细胞瘤 MRI 数据集。
Sci Data. 2017 Sep 5;4:170117. doi: 10.1038/sdata.2017.117.