The central theme of the Prostate Urothelial Cancer Program is to improve the treatment outcomes of prostate and urothelial cancers through translational research. While targeted therapies and resistance mechanisms as well as localized outcomes vary between these two cancers, we established this program based on the overlapping expertise and research personnel with the common interest in these two genitourinary malignancies. The long-term goal of the program is to reduce mortality for advanced prostate and urothelial cancers and improve outcomes for localized prostate and urothelial disease. After intensive investigation of the unmet medical needs in managing these two malignancies, we direct our research interests at three highly interactive research themes: First, to investigate mechanisms of drug resistance to current therapies; Second, to identify molecular targets and develop therapeutic approaches; and third, to improve outcomes for localized cancers. These three themes will be addressed through a translational approach of preclinical models and clinical applications across disciplines that lead to mechanism-based transformative treatments for prostate and urothelial cancers to overcome resistance, optimize response and minimize toxicity. Although they are different diseases, we are approaching the prostate and urothelial disease spaces in parallel, to have similar impact on reducing mortality for advanced prostate and urothelial cancer, while improving outcomes for localized prostate and urothelial disease. PROGRAM ASPECTS Co-leaders: Christopher Evans, MD; Allen Gao, MD, PhD; Chong-xian Pan, MD, PhD Members: 21 Total Grant Funding (ADC): $5.2 million Total Peer-Reviewed Funding (ADC): $4.8 million Total NCI funding (ADC): $1.8 million VA merit (additional funding not included above): $1,129,993 (7 projects funded) Total No. Publications: 360 Inter-programmatic publications: 186 (52%) Intra-programmatic publications: 103 (29%) Multi-institutional publications: 151 (42%) The Prostate Urothelial Cancer Program consists of 21 members from nine different departments and three different schools, with varied expertise in biochemistry, tumor biology, bioinformatics, urologic oncology, and medical oncology. The total peer-reviewed, cancer related funding (annual direct costs) has increased to $5.2 million (from $3.1 million in the previous period), with NCI funding increasing from $1.1 million in the previous period to $1.8 million in the current period.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA093373-18
Application #
9993307
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
18
Fiscal Year
2020
Total Cost
Indirect Cost
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

Showing the most recent 10 out of 836 publications