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加利福尼亚州儿童癌症的时空聚类分析。

Spatial-Temporal Cluster Analysis of Childhood Cancer in California.

机构信息

From the Department of Neurological Surgery, University of California, San Francisco, CA.

Division of Epidemiology, University of Nevada, Reno, NV.

出版信息

Epidemiology. 2020 Mar;31(2):214-223. doi: 10.1097/EDE.0000000000001121.

DOI:10.1097/EDE.0000000000001121
PMID:31596791
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9005107/
Abstract

BACKGROUND

The observance of nonrandom space-time groupings of childhood cancer has been a concern of health professionals and the general public for decades. Many childhood cancers are suspected to have initiated in utero; therefore, we examined the spatial-temporal randomness of the birthplace of children who later developed cancer.

METHODS

We performed a space-time cluster analysis using birth addresses of 5,896 cases and 23,369 population-based, age-, sex-, and race/ethnicity-matched controls in California from 1997 to 2007, evaluating 20 types of childhood cancer and three a priori designated subgroups of childhood acute lymphoblastic leukemia (ALL). We analyzed data using a newly designed semiparametric analysis program, ClustR, and a common algorithm, SaTScan.

RESULTS

We observed evidence for nonrandom space-time clustering for ALL diagnosed at 2-6 years of age in the South San Francisco Bay Area (ClustR P = 0.04, SaTScan P = 0.07), and malignant gonadal germ cell tumors in a region of Los Angeles (ClustR P = 0.03, SaTScan P = 0.06). ClustR did not identify evidence of clustering for other childhood cancers, although SaTScan suggested some clustering for Hodgkin lymphoma (P = 0.09), astrocytoma (P = 0.06), and retinoblastoma (P = 0.06).

CONCLUSIONS

Our study provides evidence that childhood ALL diagnosed at 2-6 years and malignant gonadal germ cell tumors sporadically occurs in nonrandom space-time clusters. Further research is warranted to identify epidemiologic features that may inform the underlying etiology.

摘要

背景

几十年来,儿童癌症的非随机时空聚集一直是卫生专业人员和公众关注的问题。许多儿童癌症被怀疑是在子宫内开始的;因此,我们检查了后来患有癌症的儿童的出生地的时空随机性。

方法

我们使用 1997 年至 2007 年加利福尼亚州的 5896 例病例和 23369 例基于人群的、年龄、性别和种族/族裔匹配的对照的出生地址进行了时空聚类分析,评估了 20 种儿童癌症和三种预先指定的儿童急性淋巴细胞白血病(ALL)亚组。我们使用新设计的半参数分析程序 ClustR 和常见算法 SaTScan 分析了数据。

结果

我们观察到南旧金山湾区 2-6 岁儿童 ALL(ClustR P = 0.04,SaTScan P = 0.07)和洛杉矶地区恶性生殖细胞肿瘤(ClustR P = 0.03,SaTScan P = 0.06)的时空聚类证据。ClustR 未发现其他儿童癌症的聚类证据,尽管 SaTScan 提示霍奇金淋巴瘤(P = 0.09)、星形细胞瘤(P = 0.06)和视网膜母细胞瘤(P = 0.06)存在一些聚类。

结论

我们的研究提供了证据表明,2-6 岁诊断的儿童 ALL 和恶性生殖细胞肿瘤偶尔会发生在非随机的时空聚类中。需要进一步研究以确定可能提示潜在病因的流行病学特征。

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本文引用的文献

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Epidemiology. 2020 Mar;31(2):224-228. doi: 10.1097/EDE.0000000000001122.
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Cancer statistics, 2018.癌症统计数据,2018 年。
CA Cancer J Clin. 2018 Jan;68(1):7-30. doi: 10.3322/caac.21442. Epub 2018 Jan 4.
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Parental Age and Risk of Pediatric Cancer in the Offspring: A Population-Based Record-Linkage Study in California.父母年龄与子代患儿童癌症的风险:加利福尼亚州一项基于人群的记录关联研究
2000 - 2017年德克萨斯州儿童脑肿瘤聚集情况
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Neighborhood Deprivation, Indoor Chemical Concentrations, and Spatial Risk for Childhood Leukemia.社区贫困程度、室内化学浓度与儿童白血病的空间风险
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Looking Towards 2030: Strengthening the Environmental Health in Childhood-Adolescent Cancer Survivor Programs.展望 2030 年:加强儿童青少年癌症幸存者项目中的环境健康。
Int J Environ Res Public Health. 2022 Dec 27;20(1):443. doi: 10.3390/ijerph20010443.
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PLoS One. 2022 May 17;17(5):e0268538. doi: 10.1371/journal.pone.0268538. eCollection 2022.
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