The Cancer Prevention and Control Program aims to reduce cancer incidence, morbidity, and mortality by identifying controllable risk factors, special high-risk target groups, and molecular markers of risk and tumor aggressiveness. Using such knowledge, the program members seek to develop and test interventional strategies, and, by the translation of such knowledge into practice, to establish new standards of care. The current grant cycle has been a time of tremendous growth and development in this program, and its members have helped create new strengths in cancer prevention and control in Programs 1 (Cancer Biology) and 3 (Solid Tumors). A robust monthly Cancer Prevention and Control Seminar Series has enhanced collaborations internally and interprogrammatically, with a particular emphasis on aiding junior investigators and trainees. Progress has evolved from the investment of our leadership team in recruitment and development of faculty in our three focus areas: (1) survivorship and symptom management, (2) surveillance and epidemiology, and (3) underserved populations. There are now 27 members, 14 full and 13 associate, in this program from 14 different departments and institutes of the University. During the past grant cycle, the cancer focus of program investigators has been enhanced by the recruitment of highly-focused investigators and by terminating memberships of members whose cancer focus was deemed insufficient. The members of this group have $10.2 million in grant funding within 49 projects including $3.2 million in NCI funding (16 projects). This productive group has published 123 manuscripts in scientific literature in the past five years. Investigators are increasingly conducting intervention studies, and program investigators are helping establish the standard of care in a number of high priority areas.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA069533-10
Application #
7311036
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2006-06-01
Budget End
2007-05-31
Support Year
10
Fiscal Year
2006
Total Cost
$10,058
Indirect Cost
Name
Oregon Health and Science University
Department
Type
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Krey, Jocelyn F; Scheffer, Deborah I; Choi, Dongseok et al. (2018) Mass spectrometry quantitation of proteins from small pools of developing auditory and vestibular cells. Sci Data 5:180128
Rozanov, Dmitri V; Rozanov, Nikita D; Chiotti, Kami E et al. (2018) MHC class I loaded ligands from breast cancer cell lines: A potential HLA-I-typed antigen collection. J Proteomics 176:13-23
Winters-Stone, Kerri M; Wood, Lisa J; Stoyles, Sydnee et al. (2018) The Effects of Resistance Exercise on Biomarkers of Breast Cancer Prognosis: A Pooled Analysis of Three Randomized Trials. Cancer Epidemiol Biomarkers Prev 27:146-153
Pennock, Nathan D; Martinson, Holly A; Guo, Qiuchen et al. (2018) Ibuprofen supports macrophage differentiation, T cell recruitment, and tumor suppression in a model of postpartum breast cancer. J Immunother Cancer 6:98
Xu, Li; Gordon, Ryan; Farmer, Rebecca et al. (2018) Precision therapeutic targeting of human cancer cell motility. Nat Commun 9:2454
Chen, Emerson Y; Blanke, Charles D; Haller, Daniel G et al. (2018) A Phase II Study of Celecoxib With Irinotecan, 5-Fluorouracil, and Leucovorin in Patients With Previously Untreated Advanced or Metastatic Colorectal Cancer. Am J Clin Oncol 41:1193-1198
Lane, Ryan S; Femel, Julia; Breazeale, Alec P et al. (2018) IFN?-activated dermal lymphatic vessels inhibit cytotoxic T cells in melanoma and inflamed skin. J Exp Med 215:3057-3074
Smith, Nicholas R; Swain, John R; Davies, Paige S et al. (2018) Monoclonal Antibodies Reveal Dynamic Plasticity Between Lgr5- and Bmi1-Expressing Intestinal Cell Populations. Cell Mol Gastroenterol Hepatol 6:79-96
Langer, E M; Kendsersky, N D; Daniel, C J et al. (2018) ZEB1-repressed microRNAs inhibit autocrine signaling that promotes vascular mimicry of breast cancer cells. Oncogene 37:1005-1019
Sorace, Anna G; Partridge, Savannah C; Li, Xia et al. (2018) Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial. J Med Imaging (Bellingham) 5:011019

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