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Logo of bmccancBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Cancer
BMC Cancer. 2012; 12: 13.
Published online Jan 13, 2012. doi:  10.1186/1471-2407-12-13
PMCID: PMC3295655
Space-time clustering of childhood central nervous system tumours in Yorkshire, UK
Richard JQ McNally,corresponding author1,4 Peter W James,1 Susan V Picton,2 Patricia A McKinney,3 Marlous van Laar,3 and Richard G Feltbower3
1Institute of Health and Society, Newcastle University, Sir James Spence Institute, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK
2Paediatric Oncology and Haematology, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds LS9 7TF, UK
3Paediatric Epidemiology Group, Division of Epidemiology, University of Leeds, Leeds LS2 9NL, UK
4Dr Richard JQ McNally, Institute of Health and Society, Newcastle University, Sir James Spence Institute, Royal Victoria Infirmary, Queen Victoria Road, Newcastle upon Tyne NE1 4LP, UK
corresponding authorCorresponding author.
Richard JQ McNally: Richard.McNally/at/; Peter W James: peter.james/at/; Susan V Picton: susan.picton/at/; Patricia A McKinney: p.a.mckinney/at/; Marlous van Laar: m.vanlaar/at/; Richard G Feltbower: r.g.feltbower/at/
Received August 26, 2011; Accepted January 13, 2012.
We specifically tested the aetiological hypothesis that a factor influencing geographical or temporal heterogeneity of childhood central nervous system (CNS) tumour incidence was related to exposure to a transient environmental agent.
Information was extracted on individuals aged 0-14 years, diagnosed with a CNS tumour between the 1st January 1974 and 31st December 2006 from the Yorkshire Specialist Register of Cancer in Children and Young People. Ordnance Survey eight-digit grid references were allocated to each case with respect to addresses at the time of birth and the time of diagnosis, locating each address to within 0.1 km. The following diagnostic groups were specified a priori for analysis: ependymoma; astrocytoma; primitive neuroectodermal tumours (PNETs); other gliomas; total CNS tumours. We applied the K-function method for testing global space-time clustering using fixed geographical distance thresholds. Tests were repeated using variable nearest neighbour (NN) thresholds.
There was statistically significant global space-time clustering for PNETs only, based on time and place of diagnosis (P = 0.03 and 0.01 using the fixed geographical distance and the variable NN threshold versions of the K-function method respectively).
There was some evidence for a transient environmental component to the aetiology of PNETs. However, a possible role for chance cannot be excluded.
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