The overall goal of the Population Sciences and Health Disparities Program is to conduct research to delineate and mitigate factors that affect the occurrence (or non-occurrence) of cancer in human populations and their differential manifestations in health status to ultimately reduce avoidable cancer incidence, morbidity, mortality, and to improve the quality of life for those affected by cancer (i.e. survivors and their families). Members from a variety of disciplines contribute their expertise to elucidating variabilities in cancer risk among human populations due to (A) behavioral, socio-demographic, and cultural factors;and/or (B) due to health systems factors. The Program's major research accomplishments include (1) Delineating tobacco as the key to reducing cancer through policy and practice interventions;(2) Delineating new cancer disparities across racial/ethnic and socio-demographic populations and across multiple tumor types;(3) Enhancing cancer detection, treatment, and survival through analyses of large datasets;and (4) Systematically delineating and mitigating hepatitis B viral infections as a pathway to reduce liver cancer disparities. The program has six intervention research grants focused on mitigating cancer health disparities among African Americans, American Indians, Asian Americans, and Latinos. Our P01program project, """"""""Liver Cancer Control Interventions for Asian Americans"""""""" is the only community-based program project. We are funded as the """"""""National Center for Reducing Asian American Cancer Health Disparities"""""""". The foundation of our research efforts are our multidisciplinary approach, our collaboration with registry epidemiologists, and our use of data from longitudinal cohort studies. The program has 24 members with affiliations to 13 different departments at UC Davis, LLNL, Kaiser Permanante, and CADHS. It has 14 NCl-funded projects for $3.5 million ADC (total peer-reviewed funding, $5.6 million ADC). The group has 322 publications for the last funding period;23% are inter-programmatic and 13% are intra-programmatic.
The Population Sciences and Health Disparities Program aims to conduct research and disseminate its findings that provide empirically-based insights that can lead to earlier cancer detection, improve the quality of life and care for cancer survivors and their families, enroll more minority patients into cancer clinical trials, and foster transdisciplinary team science approaches to reducing the cancer burden.
|Campbell, Mel; Watanabe, Tadashi; Nakano, Kazushi et al. (2018) KSHV episomes reveal dynamic chromatin loop formation with domain-specific gene regulation. Nat Commun 9:49|
|Vogel Ciernia, Annie; Careaga, Milo; LaSalle, Janine M et al. (2018) Microglia from offspring of dams with allergic asthma exhibit epigenomic alterations in genes dysregulated in autism. Glia 66:505-521|
|Li, Peng-Cheng; Tu, Mei-Juan; Ho, Pui Yan et al. (2018) Bioengineered NRF2-siRNA Is Effective to Interfere with NRF2 Pathways and Improve Chemosensitivity of Human Cancer Cells. Drug Metab Dispos 46:2-10|
|Lucchesi, Christopher A; Zhang, Jin; Ma, Buyong et al. (2018) Disruption of the Rbm38-eIF4E complex with a synthetic peptide Pep8 increases p53 expression. Cancer Res :|
|Kiuru, Maija; Tartar, Danielle M; Qi, Lihong et al. (2018) Improving classification of melanocytic nevi: Association of BRAF V600E expression with distinct histomorphologic features. J Am Acad Dermatol 79:221-229|
|Pargett, Michael; Albeck, John G (2018) Live-Cell Imaging and Analysis with Multiple Genetically Encoded Reporters. Curr Protoc Cell Biol 78:4.36.1-4.36.19|
|Fishman, Scott M; Carr, Daniel B; Hogans, Beth et al. (2018) Scope and Nature of Pain- and Analgesia-Related Content of the United States Medical Licensing Examination (USMLE). Pain Med 19:449-459|
|Lewis, Daniel D; Chavez, Michael; Chiu, Kwan Lun et al. (2018) Reconfigurable Analog Signal Processing by Living Cells. ACS Synth Biol 7:107-120|
|Braithwaite, Dejana; Miglioretti, Diana L; Zhu, Weiwei et al. (2018) Family History and Breast Cancer Risk Among Older Women in the Breast Cancer Surveillance Consortium Cohort. JAMA Intern Med 178:494-501|
|Unger, Jakob; Sun, Tianchen; Chen, Yi-Ling et al. (2018) Method for accurate registration of tissue autofluorescence imaging data with corresponding histology: a means for enhanced tumor margin assessment. J Biomed Opt 23:1-11|
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