Radiation Biology Section, Biomedical Physics Department, King Faisal Specialist Hospital and Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
Radiat Oncol. 2013 May 22;8:125. doi: 10.1186/1748-717X-8-125.
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.
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).
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.
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.
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。
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。
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。
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。