Cancer cluster investigations: review of the past and proposals for the future
Residential clusters of non-communicable diseases are a source of enduring public concern, and at times, controversy. Many clusters reported to public health agencies by concerned citizens are accompanied by expectations that investigations will uncover a cause of disease. While goals, methods and c...
Gespeichert in:
Veröffentlicht in: | International journal of environmental research and public health 2014-01, Vol.11 (2), p.1479-1499 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1499 |
---|---|
container_issue | 2 |
container_start_page | 1479 |
container_title | International journal of environmental research and public health |
container_volume | 11 |
creator | Goodman, Michael LaKind, Judy S Fagliano, Jerald A Lash, Timothy L Wiemels, Joseph L Winn, Deborah M Patel, Chirag Van Eenwyk, Juliet Kohler, Betsy A Schisterman, Enrique F Albert, Paul Mattison, Donald R |
description | Residential clusters of non-communicable diseases are a source of enduring public concern, and at times, controversy. Many clusters reported to public health agencies by concerned citizens are accompanied by expectations that investigations will uncover a cause of disease. While goals, methods and conclusions of cluster studies are debated in the scientific literature and popular press, investigations of reported residential clusters rarely provide definitive answers about disease etiology. Further, it is inherently difficult to study a cluster for diseases with complex etiology and long latency (e.g., most cancers). Regardless, cluster investigations remain an important function of local, state and federal public health agencies. Challenges limiting the ability of cluster investigations to uncover causes for disease include the need to consider long latency, low statistical power of most analyses, uncertain definitions of cluster boundaries and population of interest, and in- and out-migration. A multi-disciplinary Workshop was held to discuss innovative and/or under-explored approaches to investigate cancer clusters. Several potentially fruitful paths forward are described, including modern methods of reconstructing residential history, improved approaches to analyzing spatial data, improved utilization of electronic data sources, advances using biomarkers of carcinogenesis, novel concepts for grouping cases, investigations of infectious etiology of cancer, and "omics" approaches. |
doi_str_mv | 10.3390/ijerph110201479 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3945549</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1529932577</sourcerecordid><originalsourceid>FETCH-LOGICAL-c454t-3a9362132dcf018e24a2986e79eb46ffb84a4a350e57d5890ea52d48d8738e7a3</originalsourceid><addsrcrecordid>eNpdkc1LAzEQxYMotlbP3mTBi5dqPjcbD4IUv6DoRc8h3Z1tU7abNdmt-N-b2lpqTzPM_OYxj4fQOcHXjCl8Y-fgmxkhmGLCpTpAfZKmeMhTTA53-h46CWGOMct4qo5Rj3IuJSWkj15Hps7BJ3nVhTZWWy8htHZqWuvqcJt4WFr4SlyZtDNIGhPaxNRF0njXuGCqkJTO_67Kru08nKKjMk7hbFMH6OPx4X30PBy_Pb2M7sfDnAveDplRLKWE0SIvMcmAckNVloJUMOFpWU4ybrhhAoOQhcgUBiNowbMikywDadgA3a11m26ygCKHuvWm0o23C-O_tTNW_9_UdqanbqmZ4kJwFQWuNgLefXbRsl7YkENVmRpcFzQRVClGhZQRvdxD567zdbQXKUKEoAKvqJs1lXsXgody-wzBepWV3ssqXlzsetjyf-GwH9mvkTk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1511552507</pqid></control><display><type>article</type><title>Cancer cluster investigations: review of the past and proposals for the future</title><source>MEDLINE</source><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Goodman, Michael ; LaKind, Judy S ; Fagliano, Jerald A ; Lash, Timothy L ; Wiemels, Joseph L ; Winn, Deborah M ; Patel, Chirag ; Van Eenwyk, Juliet ; Kohler, Betsy A ; Schisterman, Enrique F ; Albert, Paul ; Mattison, Donald R</creator><creatorcontrib>Goodman, Michael ; LaKind, Judy S ; Fagliano, Jerald A ; Lash, Timothy L ; Wiemels, Joseph L ; Winn, Deborah M ; Patel, Chirag ; Van Eenwyk, Juliet ; Kohler, Betsy A ; Schisterman, Enrique F ; Albert, Paul ; Mattison, Donald R</creatorcontrib><description>Residential clusters of non-communicable diseases are a source of enduring public concern, and at times, controversy. Many clusters reported to public health agencies by concerned citizens are accompanied by expectations that investigations will uncover a cause of disease. While goals, methods and conclusions of cluster studies are debated in the scientific literature and popular press, investigations of reported residential clusters rarely provide definitive answers about disease etiology. Further, it is inherently difficult to study a cluster for diseases with complex etiology and long latency (e.g., most cancers). Regardless, cluster investigations remain an important function of local, state and federal public health agencies. Challenges limiting the ability of cluster investigations to uncover causes for disease include the need to consider long latency, low statistical power of most analyses, uncertain definitions of cluster boundaries and population of interest, and in- and out-migration. A multi-disciplinary Workshop was held to discuss innovative and/or under-explored approaches to investigate cancer clusters. Several potentially fruitful paths forward are described, including modern methods of reconstructing residential history, improved approaches to analyzing spatial data, improved utilization of electronic data sources, advances using biomarkers of carcinogenesis, novel concepts for grouping cases, investigations of infectious etiology of cancer, and "omics" approaches.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph110201479</identifier><identifier>PMID: 24477211</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Biomarkers ; Cancer ; Cluster Analysis ; Forecasting - methods ; Humans ; Infections ; Leukemia ; Neoplasms - epidemiology ; Oncology ; Public health ; Review</subject><ispartof>International journal of environmental research and public health, 2014-01, Vol.11 (2), p.1479-1499</ispartof><rights>Copyright Molecular Diversity Preservation International Feb 2014</rights><rights>2014 by the authors; licensee MDPI, Basel, Switzerland. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-3a9362132dcf018e24a2986e79eb46ffb84a4a350e57d5890ea52d48d8738e7a3</citedby><cites>FETCH-LOGICAL-c454t-3a9362132dcf018e24a2986e79eb46ffb84a4a350e57d5890ea52d48d8738e7a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945549/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945549/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24477211$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Goodman, Michael</creatorcontrib><creatorcontrib>LaKind, Judy S</creatorcontrib><creatorcontrib>Fagliano, Jerald A</creatorcontrib><creatorcontrib>Lash, Timothy L</creatorcontrib><creatorcontrib>Wiemels, Joseph L</creatorcontrib><creatorcontrib>Winn, Deborah M</creatorcontrib><creatorcontrib>Patel, Chirag</creatorcontrib><creatorcontrib>Van Eenwyk, Juliet</creatorcontrib><creatorcontrib>Kohler, Betsy A</creatorcontrib><creatorcontrib>Schisterman, Enrique F</creatorcontrib><creatorcontrib>Albert, Paul</creatorcontrib><creatorcontrib>Mattison, Donald R</creatorcontrib><title>Cancer cluster investigations: review of the past and proposals for the future</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>Residential clusters of non-communicable diseases are a source of enduring public concern, and at times, controversy. Many clusters reported to public health agencies by concerned citizens are accompanied by expectations that investigations will uncover a cause of disease. While goals, methods and conclusions of cluster studies are debated in the scientific literature and popular press, investigations of reported residential clusters rarely provide definitive answers about disease etiology. Further, it is inherently difficult to study a cluster for diseases with complex etiology and long latency (e.g., most cancers). Regardless, cluster investigations remain an important function of local, state and federal public health agencies. Challenges limiting the ability of cluster investigations to uncover causes for disease include the need to consider long latency, low statistical power of most analyses, uncertain definitions of cluster boundaries and population of interest, and in- and out-migration. A multi-disciplinary Workshop was held to discuss innovative and/or under-explored approaches to investigate cancer clusters. Several potentially fruitful paths forward are described, including modern methods of reconstructing residential history, improved approaches to analyzing spatial data, improved utilization of electronic data sources, advances using biomarkers of carcinogenesis, novel concepts for grouping cases, investigations of infectious etiology of cancer, and "omics" approaches.</description><subject>Biomarkers</subject><subject>Cancer</subject><subject>Cluster Analysis</subject><subject>Forecasting - methods</subject><subject>Humans</subject><subject>Infections</subject><subject>Leukemia</subject><subject>Neoplasms - epidemiology</subject><subject>Oncology</subject><subject>Public health</subject><subject>Review</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc1LAzEQxYMotlbP3mTBi5dqPjcbD4IUv6DoRc8h3Z1tU7abNdmt-N-b2lpqTzPM_OYxj4fQOcHXjCl8Y-fgmxkhmGLCpTpAfZKmeMhTTA53-h46CWGOMct4qo5Rj3IuJSWkj15Hps7BJ3nVhTZWWy8htHZqWuvqcJt4WFr4SlyZtDNIGhPaxNRF0njXuGCqkJTO_67Kru08nKKjMk7hbFMH6OPx4X30PBy_Pb2M7sfDnAveDplRLKWE0SIvMcmAckNVloJUMOFpWU4ybrhhAoOQhcgUBiNowbMikywDadgA3a11m26ygCKHuvWm0o23C-O_tTNW_9_UdqanbqmZ4kJwFQWuNgLefXbRsl7YkENVmRpcFzQRVClGhZQRvdxD567zdbQXKUKEoAKvqJs1lXsXgody-wzBepWV3ssqXlzsetjyf-GwH9mvkTk</recordid><startdate>20140128</startdate><enddate>20140128</enddate><creator>Goodman, Michael</creator><creator>LaKind, Judy S</creator><creator>Fagliano, Jerald A</creator><creator>Lash, Timothy L</creator><creator>Wiemels, Joseph L</creator><creator>Winn, Deborah M</creator><creator>Patel, Chirag</creator><creator>Van Eenwyk, Juliet</creator><creator>Kohler, Betsy A</creator><creator>Schisterman, Enrique F</creator><creator>Albert, Paul</creator><creator>Mattison, Donald R</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope><scope>5PM</scope></search><sort><creationdate>20140128</creationdate><title>Cancer cluster investigations: review of the past and proposals for the future</title><author>Goodman, Michael ; LaKind, Judy S ; Fagliano, Jerald A ; Lash, Timothy L ; Wiemels, Joseph L ; Winn, Deborah M ; Patel, Chirag ; Van Eenwyk, Juliet ; Kohler, Betsy A ; Schisterman, Enrique F ; Albert, Paul ; Mattison, Donald R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-3a9362132dcf018e24a2986e79eb46ffb84a4a350e57d5890ea52d48d8738e7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biomarkers</topic><topic>Cancer</topic><topic>Cluster Analysis</topic><topic>Forecasting - methods</topic><topic>Humans</topic><topic>Infections</topic><topic>Leukemia</topic><topic>Neoplasms - epidemiology</topic><topic>Oncology</topic><topic>Public health</topic><topic>Review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goodman, Michael</creatorcontrib><creatorcontrib>LaKind, Judy S</creatorcontrib><creatorcontrib>Fagliano, Jerald A</creatorcontrib><creatorcontrib>Lash, Timothy L</creatorcontrib><creatorcontrib>Wiemels, Joseph L</creatorcontrib><creatorcontrib>Winn, Deborah M</creatorcontrib><creatorcontrib>Patel, Chirag</creatorcontrib><creatorcontrib>Van Eenwyk, Juliet</creatorcontrib><creatorcontrib>Kohler, Betsy A</creatorcontrib><creatorcontrib>Schisterman, Enrique F</creatorcontrib><creatorcontrib>Albert, Paul</creatorcontrib><creatorcontrib>Mattison, Donald R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goodman, Michael</au><au>LaKind, Judy S</au><au>Fagliano, Jerald A</au><au>Lash, Timothy L</au><au>Wiemels, Joseph L</au><au>Winn, Deborah M</au><au>Patel, Chirag</au><au>Van Eenwyk, Juliet</au><au>Kohler, Betsy A</au><au>Schisterman, Enrique F</au><au>Albert, Paul</au><au>Mattison, Donald R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cancer cluster investigations: review of the past and proposals for the future</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2014-01-28</date><risdate>2014</risdate><volume>11</volume><issue>2</issue><spage>1479</spage><epage>1499</epage><pages>1479-1499</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Residential clusters of non-communicable diseases are a source of enduring public concern, and at times, controversy. Many clusters reported to public health agencies by concerned citizens are accompanied by expectations that investigations will uncover a cause of disease. While goals, methods and conclusions of cluster studies are debated in the scientific literature and popular press, investigations of reported residential clusters rarely provide definitive answers about disease etiology. Further, it is inherently difficult to study a cluster for diseases with complex etiology and long latency (e.g., most cancers). Regardless, cluster investigations remain an important function of local, state and federal public health agencies. Challenges limiting the ability of cluster investigations to uncover causes for disease include the need to consider long latency, low statistical power of most analyses, uncertain definitions of cluster boundaries and population of interest, and in- and out-migration. A multi-disciplinary Workshop was held to discuss innovative and/or under-explored approaches to investigate cancer clusters. Several potentially fruitful paths forward are described, including modern methods of reconstructing residential history, improved approaches to analyzing spatial data, improved utilization of electronic data sources, advances using biomarkers of carcinogenesis, novel concepts for grouping cases, investigations of infectious etiology of cancer, and "omics" approaches.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>24477211</pmid><doi>10.3390/ijerph110201479</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1660-4601 |
ispartof | International journal of environmental research and public health, 2014-01, Vol.11 (2), p.1479-1499 |
issn | 1660-4601 1661-7827 1660-4601 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3945549 |
source | MEDLINE; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Biomarkers Cancer Cluster Analysis Forecasting - methods Humans Infections Leukemia Neoplasms - epidemiology Oncology Public health Review |
title | Cancer cluster investigations: review of the past and proposals for the future |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-11T15%3A33%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cancer%20cluster%20investigations:%20review%20of%20the%20past%20and%20proposals%20for%20the%20future&rft.jtitle=International%20journal%20of%20environmental%20research%20and%20public%20health&rft.au=Goodman,%20Michael&rft.date=2014-01-28&rft.volume=11&rft.issue=2&rft.spage=1479&rft.epage=1499&rft.pages=1479-1499&rft.issn=1660-4601&rft.eissn=1660-4601&rft_id=info:doi/10.3390/ijerph110201479&rft_dat=%3Cproquest_pubme%3E1529932577%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1511552507&rft_id=info:pmid/24477211&rfr_iscdi=true |