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A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women

BACKGROUND: Thyroid cancer has been rapidly rising in incidence in Canada; however, in contrast, lung cancer appears to be decreasing in incidence in Canadian men and stable in women. Moreover, disease-related mortality risk is generally very low in TC but high in LC. We performed a geographic spati...

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Autores principales: Brown, Patrick, Jiang, Hedy, Ezzat, Shereen, Sawka, Anna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016996/
https://www.ncbi.nlm.nih.gov/pubmed/27609137
http://dx.doi.org/10.1186/s12889-016-3634-4
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author Brown, Patrick
Jiang, Hedy
Ezzat, Shereen
Sawka, Anna M.
author_facet Brown, Patrick
Jiang, Hedy
Ezzat, Shereen
Sawka, Anna M.
author_sort Brown, Patrick
collection PubMed
description BACKGROUND: Thyroid cancer has been rapidly rising in incidence in Canada; however, in contrast, lung cancer appears to be decreasing in incidence in Canadian men and stable in women. Moreover, disease-related mortality risk is generally very low in TC but high in LC. We performed a geographic spatial analysis in metropolitan Toronto, Canada to determine if there is regional variability of respective risks of thyroid cancer (TC) and lung cancer (LC), among women. Women were of particular interest for this study, given their known predilection for thyroid cancer. METHODS: The postal codes of all females with TC or LC, residing in metropolitan Toronto from 2004 to 2008, were geocoded to point locations according to 2006 Canadian Census data. The data were analysed using a log-Gaussian Cox Process, where the intensity of age-adjusted cancer cases was modelled as a log-linear combination of the population at risk, explanatory variables (race, immigration, and median household income), and a residual spatially varying random effect. For each respective malignancy, statistical models were fit to make quantify the relationship between cancer incidence and explanatory variables. RESULTS: We included 2230 women with TC and 2412 with LC. The distribution of TC and LC cases contrasted inversely among Toronto neighbourhoods with the highest TC incidence in the Northeast and the highest LC incidence in the Southeast. A higher proportion of Asian ethnicity was associated with higher regional risk of TC and lower risk of LC. A higher proportion of recent immigrants was associated with increased LC and lower TC risk, whereas median household income and proportions of African ethnicity were not significantly associated with risk of either cancer, after adjustment for other socio-demographic variables. CONCLUSIONS: We observed contrasting regional distributions of female TC and LC cases in Toronto. The differences were partly attributed to ethnic composition variability and the proportion of recent immigrants, but substantial unexplained residual variation of incidence patterns of these malignancies exists, suggesting that more individual-level research is needed to explain the regional variability of incidence of these malignancies.
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spelling pubmed-50169962016-09-10 A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women Brown, Patrick Jiang, Hedy Ezzat, Shereen Sawka, Anna M. BMC Public Health Research Article BACKGROUND: Thyroid cancer has been rapidly rising in incidence in Canada; however, in contrast, lung cancer appears to be decreasing in incidence in Canadian men and stable in women. Moreover, disease-related mortality risk is generally very low in TC but high in LC. We performed a geographic spatial analysis in metropolitan Toronto, Canada to determine if there is regional variability of respective risks of thyroid cancer (TC) and lung cancer (LC), among women. Women were of particular interest for this study, given their known predilection for thyroid cancer. METHODS: The postal codes of all females with TC or LC, residing in metropolitan Toronto from 2004 to 2008, were geocoded to point locations according to 2006 Canadian Census data. The data were analysed using a log-Gaussian Cox Process, where the intensity of age-adjusted cancer cases was modelled as a log-linear combination of the population at risk, explanatory variables (race, immigration, and median household income), and a residual spatially varying random effect. For each respective malignancy, statistical models were fit to make quantify the relationship between cancer incidence and explanatory variables. RESULTS: We included 2230 women with TC and 2412 with LC. The distribution of TC and LC cases contrasted inversely among Toronto neighbourhoods with the highest TC incidence in the Northeast and the highest LC incidence in the Southeast. A higher proportion of Asian ethnicity was associated with higher regional risk of TC and lower risk of LC. A higher proportion of recent immigrants was associated with increased LC and lower TC risk, whereas median household income and proportions of African ethnicity were not significantly associated with risk of either cancer, after adjustment for other socio-demographic variables. CONCLUSIONS: We observed contrasting regional distributions of female TC and LC cases in Toronto. The differences were partly attributed to ethnic composition variability and the proportion of recent immigrants, but substantial unexplained residual variation of incidence patterns of these malignancies exists, suggesting that more individual-level research is needed to explain the regional variability of incidence of these malignancies. BioMed Central 2016-09-08 /pmc/articles/PMC5016996/ /pubmed/27609137 http://dx.doi.org/10.1186/s12889-016-3634-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Brown, Patrick
Jiang, Hedy
Ezzat, Shereen
Sawka, Anna M.
A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women
title A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women
title_full A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women
title_fullStr A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women
title_full_unstemmed A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women
title_short A detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in Toronto women
title_sort detailed spatial analysis on contrasting cancer incidence patterns in thyroid and lung cancer in toronto women
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016996/
https://www.ncbi.nlm.nih.gov/pubmed/27609137
http://dx.doi.org/10.1186/s12889-016-3634-4
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