Suppr超能文献

与放射性毒性相关的基因中的 SNPs 与放射性毒性相关,并可作为预测和预后生物标志物发挥作用。

SNPs in genes implicated in radiation response are associated with radiotoxicity and evoke roles as predictive and prognostic biomarkers.

机构信息

Radiation Biology Section, Biomedical Physics Department, King Faisal Specialist Hospital and Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.

出版信息

Radiat Oncol. 2013 May 22;8:125. doi: 10.1186/1748-717X-8-125.

Abstract

BACKGROUND

Biomarkers are needed to individualize cancer radiation treatment. Therefore, we have investigated the association between various risk factors, including single nucleotide polymorphisms (SNPs) in candidate genes and late complications to radiotherapy in our nasopharyngeal cancer patients.

METHODS

A cohort of 155 patients was included. Normal tissue fibrosis was scored using RTOG/EORTC grading system. A total of 45 SNPs in 11 candidate genes (ATM, XRCC1, XRCC3, XRCC4, XRCC5, PRKDC, LIG4, TP53, HDM2, CDKN1A, TGFB1) were genotyped by direct genomic DNA sequencing. Patients with severe fibrosis (cases, G3-4, n = 48) were compared to controls (G0-2, n = 107).

RESULTS

Univariate analysis showed significant association (P < 0.05) with radiation complications for 6 SNPs (ATM G/A rs1801516, HDM2 promoter T/G rs2279744 and T/A rs1196333, XRCC1 G/A rs25487, XRCC5 T/C rs1051677 and TGFB1 C/T rs1800469). In addition, Kaplan-Meier analyses have also highlighted significant association between genotypes and length of patients' follow-up after radiotherapy. Multivariate logistic regression has further sustained these results suggesting predictive and prognostic roles of SNPs.

CONCLUSIONS

Univariate and multivariate analysis suggest that radiation toxicity in radiotherapy patients are associated with certain SNPs, in genes including HDM2 promoter studied for the 1st time. These results support the use of SNPs as genetic predictive markers for clinical radiosensitivity and evoke a prognostic role for length of patients' follow-up after radiotherapy.

摘要

背景

需要生物标志物来实现癌症放射治疗的个体化。因此,我们研究了包括候选基因中的单核苷酸多态性(SNP)在内的各种危险因素与我们鼻咽癌患者放疗后晚期并发症之间的关系。

方法

纳入了 155 例患者。采用 RTOG/EORTC 分级系统对正常组织纤维化进行评分。通过直接基因组 DNA 测序对 11 个候选基因(ATM、XRCC1、XRCC3、XRCC4、XRCC5、PRKDC、LIG4、TP53、HDM2、CDKN1A、TGFB1)中的 45 个 SNP 进行了基因分型。将纤维化严重的患者(病例,G3-4,n=48)与对照组(G0-2,n=107)进行比较。

结果

单因素分析显示,6 个 SNP(ATM G/A rs1801516、HDM2 启动子 T/G rs2279744 和 T/A rs1196333、XRCC1 G/A rs25487、XRCC5 T/C rs1051677 和 TGFB1 C/T rs1800469)与放射并发症显著相关(P<0.05)。此外,Kaplan-Meier 分析也突出了基因型与放疗后患者随访时间之间的显著相关性。多因素逻辑回归进一步证实了这些结果,表明 SNP 具有预测和预后作用。

结论

单因素和多因素分析表明,放疗患者的放射毒性与某些 SNP 相关,包括首次研究的 HDM2 启动子基因。这些结果支持 SNP 作为临床放射敏感性的遗传预测标志物的使用,并提示患者放疗后随访时间的预后作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/854f/3679989/38005122da54/1748-717X-8-125-1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验