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儿童白血病的时空聚集模式表明感染起到了一定作用。

Space-time clustering patterns in childhood leukaemia support a role for infection.

作者信息

Birch J M, Alexander F E, Blair V, Eden O B, Taylor G M, McNally R J

机构信息

CRC Paediatric & Familial Cancer Research Group, Royal Manchester Children's Hospital, Stancliffe, UK.

出版信息

Br J Cancer. 2000 May;82(9):1571-6. doi: 10.1054/bjoc.1999.1072.

Abstract

Previous studies of space-time clustering in childhood leukaemia have produced equivocal and inconsistent results. To address this issue we have used Manchester Children's Tumour Registry leukaemia data in space-time clustering analyses. Knox tests for space-time interactions between cases were applied with fixed thresholds of close in space, <5 km and close in time <1 year apart. Addresses at birth as well as diagnosis were utilized. Tests were repeated replacing geographical distance with distance to the Nth nearest neighbour. N was chosen such that the mean distance was 5 km. Data were also examined by a second order procedure based on K-functions. All methods showed highly significant evidence of space-time clustering based on place of birth and time of diagnosis, particularly for all leukaemias aged 0-14 and 0-4 years, and acute lymphoblastic leukaemia (ALL) 0-4 years. Some results based on location at diagnosis were significant but mainly gave larger P-values. The results are consistent with an infectious hypothesis. Furthermore, we found an excess of male cases over females involved in space-time pairs. We suggest this may be related to genetic differences in susceptibility to infection between males and females. These findings provide the basis for future studies to identify possible infectious agents.

摘要

以往关于儿童白血病时空聚集性的研究结果并不明确且不一致。为解决这一问题,我们在时空聚集性分析中使用了曼彻斯特儿童肿瘤登记处的白血病数据。对病例之间的时空相互作用进行了诺克斯检验,设定空间距离近(<5公里)和时间距离近(相隔<1年)的固定阈值。使用了出生地址和诊断地址。用与第N个最近邻的距离代替地理距离重复进行检验。选择N使得平均距离为5公里。还通过基于K函数的二阶程序对数据进行了检验。所有方法均显示出基于出生地点和诊断时间的时空聚集性的高度显著证据,特别是对于所有0 - 14岁和0 - 4岁的白血病,以及0 - 4岁的急性淋巴细胞白血病(ALL)。一些基于诊断时位置的结果具有显著性,但主要给出的P值更大。这些结果与感染假说一致。此外,我们发现参与时空配对的男性病例多于女性。我们认为这可能与男性和女性对感染易感性的基因差异有关。这些发现为未来识别可能的感染源的研究提供了基础。

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