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Facilitating cancer systems epidemiology research

Systems epidemiology offers a more comprehensive and holistic approach to studies of cancer in populations by considering high dimensionality measures from multiple domains, assessing the inter-relationships among risk factors, and considering changes over time. These approaches offer a framework to...

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Detalles Bibliográficos
Autores principales: Barajas, Rolando, Hair, Brionna, Lai, Gabriel, Rotunno, Melissa, Shams-White, Marissa M., Gillanders, Elizabeth M., Mechanic, Leah E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719747/
https://www.ncbi.nlm.nih.gov/pubmed/34972102
http://dx.doi.org/10.1371/journal.pone.0255328
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author Barajas, Rolando
Hair, Brionna
Lai, Gabriel
Rotunno, Melissa
Shams-White, Marissa M.
Gillanders, Elizabeth M.
Mechanic, Leah E.
author_facet Barajas, Rolando
Hair, Brionna
Lai, Gabriel
Rotunno, Melissa
Shams-White, Marissa M.
Gillanders, Elizabeth M.
Mechanic, Leah E.
author_sort Barajas, Rolando
collection PubMed
description Systems epidemiology offers a more comprehensive and holistic approach to studies of cancer in populations by considering high dimensionality measures from multiple domains, assessing the inter-relationships among risk factors, and considering changes over time. These approaches offer a framework to account for the complexity of cancer and contribute to a broader understanding of the disease. Therefore, NCI sponsored a workshop in February 2019 to facilitate discussion about the opportunities and challenges of the application of systems epidemiology approaches for cancer research. Eight key themes emerged from the discussion: transdisciplinary collaboration and a problem-based approach; methods and modeling considerations; interpretation, validation, and evaluation of models; data needs and opportunities; sharing of data and models; enhanced training practices; dissemination of systems models; and building a systems epidemiology community. This manuscript summarizes these themes, highlights opportunities for cancer systems epidemiology research, outlines ways to foster this research area, and introduces a collection of papers, “Cancer System Epidemiology Insights and Future Opportunities” that highlight findings based on systems epidemiology approaches.
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spelling pubmed-87197472022-01-01 Facilitating cancer systems epidemiology research Barajas, Rolando Hair, Brionna Lai, Gabriel Rotunno, Melissa Shams-White, Marissa M. Gillanders, Elizabeth M. Mechanic, Leah E. PLoS One Overview Systems epidemiology offers a more comprehensive and holistic approach to studies of cancer in populations by considering high dimensionality measures from multiple domains, assessing the inter-relationships among risk factors, and considering changes over time. These approaches offer a framework to account for the complexity of cancer and contribute to a broader understanding of the disease. Therefore, NCI sponsored a workshop in February 2019 to facilitate discussion about the opportunities and challenges of the application of systems epidemiology approaches for cancer research. Eight key themes emerged from the discussion: transdisciplinary collaboration and a problem-based approach; methods and modeling considerations; interpretation, validation, and evaluation of models; data needs and opportunities; sharing of data and models; enhanced training practices; dissemination of systems models; and building a systems epidemiology community. This manuscript summarizes these themes, highlights opportunities for cancer systems epidemiology research, outlines ways to foster this research area, and introduces a collection of papers, “Cancer System Epidemiology Insights and Future Opportunities” that highlight findings based on systems epidemiology approaches. Public Library of Science 2021-12-31 /pmc/articles/PMC8719747/ /pubmed/34972102 http://dx.doi.org/10.1371/journal.pone.0255328 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Overview
Barajas, Rolando
Hair, Brionna
Lai, Gabriel
Rotunno, Melissa
Shams-White, Marissa M.
Gillanders, Elizabeth M.
Mechanic, Leah E.
Facilitating cancer systems epidemiology research
title Facilitating cancer systems epidemiology research
title_full Facilitating cancer systems epidemiology research
title_fullStr Facilitating cancer systems epidemiology research
title_full_unstemmed Facilitating cancer systems epidemiology research
title_short Facilitating cancer systems epidemiology research
title_sort facilitating cancer systems epidemiology research
topic Overview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719747/
https://www.ncbi.nlm.nih.gov/pubmed/34972102
http://dx.doi.org/10.1371/journal.pone.0255328
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