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Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada
BACKGROUND: The aetiology of neuroblastic tumours is likely to involve both genetic and environmental factors. A number of possible environmental risk factors have been suggested, including infection. If an irregular temporal pattern in incidence is found, this might suggest that a transient agent,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902763/ https://www.ncbi.nlm.nih.gov/pubmed/35255910 http://dx.doi.org/10.1186/s12940-022-00846-y |
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author | Hayes, Louise Basta, Nermine Muirhead, Colin R. Pole, Jason D. Gibson, Paul Di Monte, Bruna Irwin, Meredith S. Greenberg, Mark Tweddle, Deborah A. McNally, Richard J. Q. |
author_facet | Hayes, Louise Basta, Nermine Muirhead, Colin R. Pole, Jason D. Gibson, Paul Di Monte, Bruna Irwin, Meredith S. Greenberg, Mark Tweddle, Deborah A. McNally, Richard J. Q. |
author_sort | Hayes, Louise |
collection | PubMed |
description | BACKGROUND: The aetiology of neuroblastic tumours is likely to involve both genetic and environmental factors. A number of possible environmental risk factors have been suggested, including infection. If an irregular temporal pattern in incidence is found, this might suggest that a transient agent, such as an infection, is implicated. Previous work has found evidence for temporal clustering in children and young adults living in northern England. METHODS: We examined data from a second population-based registry from Ontario, Canada to determine whether there was evidence of temporal clustering of neuroblastic tumours. Cases diagnosed in children and young adults aged 0-19 years between 1985 and 2016 were extracted from the population-based Pediatric Oncology Group of Ontario Networked Information System (POGONIS). A modified version of the Potthoff-Whittinghill method was used to test for temporal clustering. Estimates of extra-Poisson variation (EPV) and standard errors (SE) were obtained. RESULTS: Eight hundred seventy-six cases of neuroblastic tumours were diagnosed during the study period. Overall, no evidence of temporal clustering was found between fortnights, between months or between quarters within years. However, significant EPV was found between years within the full study period (EPV = 1.05, SE = 0.25; P = 0.005). CONCLUSIONS: The findings are consistent with the possibility that a transient agent, such as an infection that is characterised by ‘peaks and troughs’ in its occurrence, might be implicated in the aetiology of neuroblastic tumours. However, this pattern may also reflect a long-term increase in the numbers of cases, rather than peaks and troughs. |
format | Online Article Text |
id | pubmed-8902763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89027632022-03-18 Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada Hayes, Louise Basta, Nermine Muirhead, Colin R. Pole, Jason D. Gibson, Paul Di Monte, Bruna Irwin, Meredith S. Greenberg, Mark Tweddle, Deborah A. McNally, Richard J. Q. Environ Health Research BACKGROUND: The aetiology of neuroblastic tumours is likely to involve both genetic and environmental factors. A number of possible environmental risk factors have been suggested, including infection. If an irregular temporal pattern in incidence is found, this might suggest that a transient agent, such as an infection, is implicated. Previous work has found evidence for temporal clustering in children and young adults living in northern England. METHODS: We examined data from a second population-based registry from Ontario, Canada to determine whether there was evidence of temporal clustering of neuroblastic tumours. Cases diagnosed in children and young adults aged 0-19 years between 1985 and 2016 were extracted from the population-based Pediatric Oncology Group of Ontario Networked Information System (POGONIS). A modified version of the Potthoff-Whittinghill method was used to test for temporal clustering. Estimates of extra-Poisson variation (EPV) and standard errors (SE) were obtained. RESULTS: Eight hundred seventy-six cases of neuroblastic tumours were diagnosed during the study period. Overall, no evidence of temporal clustering was found between fortnights, between months or between quarters within years. However, significant EPV was found between years within the full study period (EPV = 1.05, SE = 0.25; P = 0.005). CONCLUSIONS: The findings are consistent with the possibility that a transient agent, such as an infection that is characterised by ‘peaks and troughs’ in its occurrence, might be implicated in the aetiology of neuroblastic tumours. However, this pattern may also reflect a long-term increase in the numbers of cases, rather than peaks and troughs. BioMed Central 2022-03-07 /pmc/articles/PMC8902763/ /pubmed/35255910 http://dx.doi.org/10.1186/s12940-022-00846-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hayes, Louise Basta, Nermine Muirhead, Colin R. Pole, Jason D. Gibson, Paul Di Monte, Bruna Irwin, Meredith S. Greenberg, Mark Tweddle, Deborah A. McNally, Richard J. Q. Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada |
title | Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada |
title_full | Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada |
title_fullStr | Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada |
title_full_unstemmed | Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada |
title_short | Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada |
title_sort | temporal clustering of neuroblastic tumours in children and young adults from ontario, canada |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902763/ https://www.ncbi.nlm.nih.gov/pubmed/35255910 http://dx.doi.org/10.1186/s12940-022-00846-y |
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