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Facilitating cancer systems epidemiology research.
Barajas, Rolando; Hair, Brionna; Lai, Gabriel; Rotunno, Melissa; Shams-White, Marissa M; Gillanders, Elizabeth M; Mechanic, Leah E.
Afiliação
  • Barajas R; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences (DCCPS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
  • Hair B; DCCPS, NCI, NIH, Bethesda, Maryland, United States of America.
  • Lai G; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences (DCCPS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
  • Rotunno M; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences (DCCPS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
  • Shams-White MM; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences (DCCPS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
  • Gillanders EM; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences (DCCPS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
  • Mechanic LE; Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences (DCCPS), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, United States of America.
PLoS One ; 16(12): e0255328, 2021.
Article em En | MEDLINE | ID: mdl-34972102
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudos Epidemiológicos / Biologia de Sistemas / Neoplasias Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudos Epidemiológicos / Biologia de Sistemas / Neoplasias Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos