Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children's Hospital Colorado, Aurora, USA.
J Neurooncol. 2023 Oct;165(1):161-169. doi: 10.1007/s11060-023-04472-7. Epub 2023 Oct 25.
Neurocognitive deficits are common in pediatric brain tumor survivors. The use of single nucleotide polymorphism (SNP) analysis in DNA repair genes may identify children treated with radiation therapy for brain tumors at increased risk for treatment toxicity and adverse neurocognitive outcomes.
The Human 660W-Quad v1.0 DNA BeadChip analysis (Illumina) was used to evaluate 1048 SNPs from 59 DNA repair genes in 46 subjects. IQ testing was measured by the Wechsler Intelligence Scale for Children. Linear regression was used to identify the 10 SNPs with the strongest association with IQ scores while adjusting for radiation type.
The low vs high IQ patient cohorts were well matched for time from first treatment to most recent IQ, first treatment age, sex, and treatments received. 5 SNPs on 3 different genes (CYP29, XRCC1, and BRCA1) and on 3 different chromosomes (10, 19, and 17) had the strongest association with most recent IQ score that was not modified by radiation type. Furthermore, 5 SNPs on 4 different genes (WRN, NR3C1, ERCC4, RAD51L1) on 4 different chromosomes (8, 5, 16, 14) had the strongest association with change in IQ independent of radiation type, first IQ, and years between IQ measures.
SNPs offer the potential to predict adverse neurocognitive outcomes in pediatric brain tumor survivors. Our results require validation in a larger patient cohort. Improving the ability to identify children at risk of treatment related neurocognitive deficits could allow for better treatment stratification and early cognitive interventions.
神经认知缺陷在儿科脑肿瘤幸存者中很常见。在 DNA 修复基因中使用单核苷酸多态性(SNP)分析可能会识别出接受脑肿瘤放射治疗的儿童,他们有更高的治疗毒性和不良神经认知结果的风险。
使用 Human 660W-Quad v1.0 DNA BeadChip 分析(Illumina)评估了 59 个 DNA 修复基因中的 1048 个 SNP,共 46 个研究对象。智商测试采用韦氏儿童智力量表进行测量。线性回归用于确定与智商评分相关性最强的 10 个 SNP,同时调整辐射类型。
低智商与高智商患者队列在从首次治疗到最近一次 IQ 测试的时间、首次治疗年龄、性别和接受的治疗方面匹配良好。3 个不同基因(CYP29、XRCC1 和 BRCA1)和 3 个不同染色体(10、19 和 17)上的 5 个 SNP 与最近的 IQ 评分具有最强的相关性,不受辐射类型的影响。此外,4 个不同基因(WRN、NR3C1、ERCC4 和 RAD51L1)上的 5 个 SNP 与 IQ 变化具有最强的相关性,独立于辐射类型、首次 IQ 和 IQ 测量之间的年数。
SNP 有可能预测儿科脑肿瘤幸存者的不良神经认知结果。我们的结果需要在更大的患者队列中进行验证。提高识别有治疗相关神经认知缺陷风险的儿童的能力,可以实现更好的治疗分层和早期认知干预。