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.

Public Health Relevance

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.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA093373-11
Application #
8741017
Study Section
Subcommittee G - Education (NCI)
Project Start
2002-07-01
Project End
2016-06-30
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
11
Fiscal Year
2013
Total Cost
$25,236
Indirect Cost
$8,797
Name
University of California Davis
Department
Type
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
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
Winer, Rachel L; Tiro, Jasmin A; Miglioretti, Diana L et al. (2018) Rationale and design of the HOME trial: A pragmatic randomized controlled trial of home-based human papillomavirus (HPV) self-sampling for increasing cervical cancer screening uptake and effectiveness in a U.S. healthcare system. Contemp Clin Trials 64:77-87
Wang, Guobao; Corwin, Michael T; Olson, Kristin A et al. (2018) Dynamic PET of human liver inflammation: impact of kinetic modeling with optimization-derived dual-blood input function. Phys Med Biol 63:155004

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