Lupo Philip J, Schraw Jeremy M, Desrosiers Tania A, Nembhard Wendy N, Langlois Peter H, Canfield Mark A, Copeland Glenn, Meyer Robert E, Brown Austin L, Chambers Tiffany M, Sok Pagna, Danysh Heather E, Carozza Susan E, Sisoudiya Saumya D, Hilsenbeck Susan G, Janitz Amanda E, Oster Matthew E, Scheuerle Angela E, Schiffman Joshua D, Luo Chunqiao, Mian Amir, Mueller Beth A, Huff Chad D, Rasmussen Sonja A, Scheurer Michael E, Plon Sharon E
Department of Pediatrics, Baylor College of Medicine, Houston, Texas.
Texas Children's Cancer Center, Texas Children's Hospital, Houston.
JAMA Oncol. 2019 Aug 1;5(8):1150-1158. doi: 10.1001/jamaoncol.2019.1215.
Birth defects affect approximately 1 in 33 children. Some birth defects are known to be strongly associated with childhood cancer (eg, trisomy 21 and acute leukemia). However, comprehensive evaluations of childhood cancer risk in those with birth defects have been limited in previous studies by insufficient sample sizes.
To identify specific birth defect-childhood cancer (BD-CC) associations and characterize cancer risk in children by increasing number of nonchromosomal birth defects.
DESIGN, SETTING, AND PARTICIPANTS: This multistate, population-based registry linkage study pooled statewide data on births, birth defects, and cancer from Texas, Arkansas, Michigan, and North Carolina on 10 181 074 children born from January 1, 1992, to December 31, 2013. Children were followed up to 18 years of age for a diagnosis of cancer. Data were retrieved between September 26, 2016, and September 21, 2017, and data analysis was performed from September 2, 2017, to March 21, 2019.
Birth defects diagnoses (chromosomal anomalies and nonchromosomal birth defects) recorded by statewide, population-based birth defects registries.
Cancer diagnosis before age 18 years, as recorded in state cancer registries. Cox regression models were used to generate hazard ratios (HRs) and 95% CIs to evaluate BD-CC associations and the association between number of nonchromosomal defects and cancer risk.
Compared with children without any birth defects, children with chromosomal anomalies were 11.6 (95% CI, 10.4-12.9) times more likely to be diagnosed with cancer, whereas children with nonchromosomal birth defects were 2.5 (95% CI, 2.4-2.6) times more likely to be diagnosed with cancer before 18 years of age. An increasing number of nonchromosomal birth defects was associated with a corresponding increase in the risk of cancer. Children with 4 or more major birth defects were 5.9 (95% CI, 5.3-6.4) times more likely to be diagnosed with cancer compared with those without a birth defect. In the analysis of 72 specific BD-CC patterns, 40 HRs were statistically significant (adjusted P < .05) after accounting for multiple comparisons. Cancers most frequently associated with nonchromosomal defects were hepatoblastoma and neuroblastoma.
Several significant and novel associations were observed between specific birth defects and cancers. Among children with nonchromosomal birth defects, the number of major birth defects diagnosed was significantly and directly associated with cancer risk. These findings could inform clinical treatment for children with birth defects and may elucidate mechanisms that lead to these complex outcomes.
出生缺陷影响约每33名儿童中的1名。已知一些出生缺陷与儿童癌症密切相关(例如,21三体综合征与急性白血病)。然而,先前研究中对出生缺陷患儿患儿童癌症风险的全面评估因样本量不足而受到限制。
通过增加非染色体出生缺陷的数量,确定特定的出生缺陷与儿童癌症(BD-CC)之间的关联,并描述儿童患癌症的风险。
设计、设置和参与者:这项基于人群的多州登记联动研究汇总了得克萨斯州、阿肯色州、密歇根州和北卡罗来纳州1992年1月1日至2013年12月31日出生的10181074名儿童的全州出生、出生缺陷和癌症数据。对儿童进行随访至18岁,以诊断是否患癌症。数据于2016年9月26日至2017年9月21日检索,并于2017年9月2日至2019年3月21日进行数据分析。
由全州基于人群的出生缺陷登记处记录的出生缺陷诊断(染色体异常和非染色体出生缺陷)。
州癌症登记处记录的18岁前癌症诊断情况。使用Cox回归模型生成风险比(HR)和95%置信区间(CI),以评估BD-CC关联以及非染色体缺陷数量与癌症风险之间的关联。
与无任何出生缺陷的儿童相比,染色体异常儿童被诊断患癌症的可能性高11.6倍(95%CI,10.4-12.9),而非染色体出生缺陷儿童在18岁前被诊断患癌症的可能性高2.5倍(95%CI,2.4-2.6)。非染色体出生缺陷数量增加与癌症风险相应增加相关。与无出生缺陷的儿童相比,有4种或更多主要出生缺陷的儿童被诊断患癌症的可能性高5.9倍(95%CI,5.3-6.4)。在对72种特定BD-CC模式的分析中,在考虑多重比较后,40个HR具有统计学意义(校正P<0.05)。与非染色体缺陷最常相关的癌症是肝母细胞瘤和神经母细胞瘤。
在特定出生缺陷与癌症之间观察到了几种显著且新颖的关联。在非染色体出生缺陷患儿中,诊断出的主要出生缺陷数量与癌症风险显著且直接相关。这些发现可为出生缺陷患儿的临床治疗提供参考,并可能阐明导致这些复杂结果的机制。