Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1784625003732402176 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8719747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT barajasrolando facilitatingcancersystemsepidemiologyresearch AT hairbrionna facilitatingcancersystemsepidemiologyresearch AT laigabriel facilitatingcancersystemsepidemiologyresearch AT rotunnomelissa facilitatingcancersystemsepidemiologyresearch AT shamswhitemarissam facilitatingcancersystemsepidemiologyresearch AT gillanderselizabethm facilitatingcancersystemsepidemiologyresearch AT mechanicleahe facilitatingcancersystemsepidemiologyresearch |