Landscape analysis of environmental data sources for linkage with SEER cancer patients database

One of the challenges associated with understanding environmental impacts on cancer risk and outcomes is estimating potential exposures of individuals diagnosed with cancer to adverse environmental conditions over the life course. Historically, this has been partly due to the lack of reliable measures of cancer patients' potential environmental exposures before a cancer diagnosis. The emerging sources of cancer-related spatiotemporal environmental data and residential history information, coupled with novel technologies for data extraction and linkage, present an opportunity to integrate these data into the existing cancer surveillance data infrastructure, thereby facilitating more comprehensive assessment of cancer risk and outcomes. In this paper, we performed a landscape analysis of the available environmental data sources that could be linked to historical residential address information of cancer patients' records collected by the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The objective is to enable researchers to use these data to assess potential exposures at the time of cancer initiation through the time of diagnosis and even after diagnosis. The paper addresses the challenges associated with data collection and completeness at various spatial and temporal scales, as well as opportunities and directions for future research.

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Publication Details

Journal
JNCI Monographs
Published
2024-08-01
DOI
https://doi.org/10.1093/jncimonographs/lgae015
Citations
2
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.63

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article

Landscape analysis of environmental data sources for linkage with SEER cancer patients database

Zaria Tatalovich, A. Chtourou, Kevin Henry, Lynne Penberthy et al.
2 citations
JNCI Monographs
Health, Environment, Cognitive Aging
0.63
article

Landscape analysis of environmental data sources for linkage with SEER cancer patients database

Zaria Tatalovich, A. Chtourou, Kevin Henry, Lynne Penberthy, Heidi A. Hanson, Li Zhu, Curt T. DellaValle
article en
2 citations

Abstract

One of the challenges associated with understanding environmental impacts on cancer risk and outcomes is estimating potential exposures of individuals diagnosed with cancer to adverse environmental conditions over the life course. Historically, this has been partly due to the lack of reliable measures of cancer patients' potential environmental exposures before a cancer diagnosis. The emerging sources of cancer-related spatiotemporal environmental data and residential history information, coupled with novel technologies for data extraction and linkage, present an opportunity to integrate these data into the existing cancer surveillance data infrastructure, thereby facilitating more comprehensive assessment of cancer risk and outcomes. In this paper, we performed a landscape analysis of the available environmental data sources that could be linked to historical residential address information of cancer patients' records collected by the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The objective is to enable researchers to use these data to assess potential exposures at the time of cancer initiation through the time of diagnosis and even after diagnosis. The paper addresses the challenges associated with data collection and completeness at various spatial and temporal scales, as well as opportunities and directions for future research.

JNCI MonographsVol. 2024(65)
Oak Ridge National Laboratory (US), Fox Chase Cancer Center (US), National Cancer Institute (UA), National Cancer Institute (US), Temple University (US)
U.S. Department of Energy, Battelle, UT-Battelle, National Institutes of Health, National Cancer Institute, Argonne National Laboratory, Lawrence Livermore National Laboratory, Oak Ridge National Laboratory, Los Alamos National Laboratory
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Health, Environment, Cognitive Aging
0.63
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