Current Research and Scholarly Interests
Dr. Keegan’s research focuses using cancer registry data to document and understand patterns of cancer incidence, treatment and survival; understanding factors leading to the development of and survival after lymphoma, breast cancer and cancers in adolescents and young adults 15 to 39 years of age; understanding how community characteristics influence health behaviors and the occurrence of cancer and outcomes following cancer diagnosis; and improving cancer surveillance methods.
* Understanding patterns of cancer occurrence: Dr. Keegan is a member of the CPIC Surveillance Research group, which analyzes cancer surveillance data to better describe cancer risk factors, incidence and outcomes in the Greater San Francisco Bay Area, California and United States. She has conducted studies assessing the feasibility of adding new data items to routine cancer registry data collection and cancer reporting practices. With CPIC, Stanford and UCSF colleagues, she has conducted detailed analyses of cancer occurrence patterns. She also has considered the influence of a variety of factors, such as smoking, childhood infections, body size and physical activity, on the occurrence of Hodgkin lymphoma.
* Outcomes after cancer diagnosis: Dr. Keegan is interested in factors that influence outcomes after cancer diagnosis, such as the occurrence of second cancers and length of survival after cancer diagnosis. Using cancer registry data, she has assessed the relationship between neighborhood factors and cancer survival. She has also been involved in multiple studies that assess treatment patterns after cancer diagnosis, and considered genetic and socio-demographic influences on survival after Hodgkin lymphoma. In addition to survival, she is interested in factors related to quality of life in cancer survivors.
* Built environment: Together with CPIC Colleagues, Dr. Keegan has been working with a multidisciplinary team interested in research on the social and built environment and cancer. This group has compiled an extensive resource of existing geospatial data for characterizing neighborhood social, built, medical care, and immigration environments, the California Neighborhood Health Database. Using this resource, she has combined neighborhood-level data with individual-level data from case-control, cohort and cancer registry data.