前列腺癌患者辐射诱发发病率的遗传预测因子

J. Stanić, V. Stankovic, Snežana Voštinić, M. Nikitović
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引用次数: 0

摘要

癌症幸存者经常面临治疗的不良影响,这对发病率和死亡率有重大影响。放射治疗(RT)后的正常组织副作用是一种常见的治疗方式,并可能严重影响生活质量,这对长期前列腺癌(PC)幸存者尤其重要。我们在放射生物学方面的知识升级使我们更好地理解遗传学在决定患者发展晚期放射毒性的易感性方面起着重要作用,从而导致了称为“放射基因组学”的新研究领域。随着DNA测序技术和基因组分析的发展,放射基因组学作为一门最先进的科学出现在个性化医疗领域,其目标是检测遗传决定因素RT不良反应。基于单核苷酸多态性(SNPs)的分析可用于预测RT副作用的风险以及临床特征和治疗因素。已经确定了几个snp与PC患者晚期辐射诱发的发病率相关。最重要的是,这些snp构成了可能是这些症状根源的组织中表达的基因,包括膀胱、直肠和小肠,这些组织在PC RT中暴露最多。此外,全基因组关联研究可能导致越来越多的遗传多态性,可以预测长期RT并发症。最后,放射基因组学试图预测哪些PC患者会表现出放射敏感性,这样放射肿瘤学家和外科医生就可以相应地改变治疗方法,以减少副作用或提高放射治疗的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic predictors of radiation-induced morbidity in prostate cancer patients
Cancer survivors often face adverse effects of treatment, which have a significant impact on morbidity and mortality. Normal-tissue side effects following radiotherapy (RT), as one of therapeutic modalities, are common and may seriously affect quality of life which is especially important in long-term prostate cancer (PC) survivors. Upgrading in our knowledge in radiation biology have led to the better understanding that genetics plays a significant role in determining a patient's predisposition to developing late RT toxicity, leading to the new field of research called "radiogenomics". With the evolution of DNA sequencing technologies and genomic analysis, radiogenomics made an appearance as a state-of-the-art science in the field of personalized medicine with the goal of detection the genetic determinants RT adverse reactions. A single-nucleotide polymorphism (SNPs) - based assay could be used to predict the risk of RT side effects along with clinical features and treatment factors. Several SNPs have been identified that are associated with late radiation-induced morbidity in PC patients. Most importantly, these SNPs make up genes expressed in the tissues that are likely at the root of these symptoms, including the bladder, rectum, and small intestine, which are most exposed in PC RT. Furthermore, genome-wide association studies are likely to lead to an increasing number of genetic polymorphisms that can predict long-term RT complications. Finally, radiogenomics attempts to predict which PC patients will show radiosensitivity, so that radiation oncologists, as well as surgeons, can change treatment accordingly in order to reduce side effects or increase the RT effectiveness.
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