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

Journal Article · · JNCI Monographs

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.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
National Institutes of Health (NIH); USDOE
Grant/Contract Number:
AC02-06CH11357; AC05-00OR22725; AC52-06NA25396; AC52-07NA27344
OSTI ID:
2426699
Journal Information:
JNCI Monographs, Journal Name: JNCI Monographs Journal Issue: 65 Vol. 2024; ISSN 1052-6773
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
Country unknown/Code not available
Language:
English

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