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

Author:

Tatalovich Zaria1ORCID,Chtourou Amina1,Zhu Li1,Dellavalle Curt1,Hanson Heidi A2,Henry Kevin A34,Penberthy Lynne1

Affiliation:

1. Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute , Rockville, MD, USA

2. Computational Sciences and Engineering Division, Oak Ridge National Laboratory, US Department of Energy , Oakridge, TN, USA

3. Temple University , Philadelphia, PA, USA

4. Cancer Prevention and Control, Fox Chase Cancer Center , Philadelphia, PA, USA

Abstract

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.

Funder

Joint Design of Advanced Computing Solutions for Cancer

Department of Energy

National Cancer Institute

National Institutes of Health

Argonne National Laboratory

Lawrence Livermore National Laboratory

Los Alamos National Laboratory

Oak Ridge National Laboratory

Publisher

Oxford University Press (OUP)

Reference109 articles.

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