{"doi":"10.1371/journal.pone.0255328","title":"Facilitating cancer systems epidemiology research","abstract":"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.","journal":"PLoS ONE","year":2021,"id":209280,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9543,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":68996,"name":"Brionna Y. Hair","orcid":null,"position":1,"is_corresponding":false},{"id":34365,"name":"Gabriel Y. Lai","orcid":"0000-0002-2942-673X","position":2,"is_corresponding":false},{"id":279478,"name":"Melissa Rotunno","orcid":"0009-0004-1423-0242","position":3,"is_corresponding":false},{"id":737000,"name":"Marissa Shams‐White","orcid":"0000-0002-7824-4545","position":4,"is_corresponding":false},{"id":130792,"name":"Elizabeth M. Gillanders","orcid":null,"position":5,"is_corresponding":false},{"id":395333,"name":"Leah E. Mechanic","orcid":"0000-0001-7684-1939","position":6,"is_corresponding":false},{"id":395329,"name":"Rolando Barajas","orcid":"0000-0002-8579-4350","position":0,"is_corresponding":true}],"reference_count":69,"raw_metadata":null,"created_at":"2026-07-18T23:52:01.526969Z","pmid":"34972102","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}