The Translational Oncology Program consists of 39 participating Members, representing total peer-reviewed funding for nearly $7.2 Million in annual direct costs ($10.5 Million in total costs). During the last two years, its Members produced 155 cancer-relevant publications, 32% of which were intra- and inter-programmatic collaborations. This program consists of members who conduct or who have active participation in bed-to-bench-to-bed research that integrates basic laboratory studies with clinical investigation. Such translational research is essential for the development of improved diagnostic, disease- monitoring strategies, and treatments for patients with cancer. Accordingly, the achievements of the Program have been to: (1) make new contributions to the identification of molecular signatures characteristic of cancer cells, such as disorderly CD44 and telomerase gene expression; (2) Introduce novel treatments, such as CD40 ligand gene therapy for CLL and bispecific antibody therapy for leukemia, and; (3) develop clinical trials and clinical correlated laboratory studies that test the value of institutional discoveries, such as new methods of combination biochemotherapy for melanoma, and (4) advance national cooperative group protocols. To achieve these goals, the Translational Oncology program has developed Specialized Cancer Units in the following fields: Breast Cancer, Gastrointestinal Cancer, Leukemia/Lymphoma, Melanoma, Cancer Pain Relief, Stem Cell Transplant and Urologic Cancer and is dedicated to strengthening multi- disciplinary research and clinical care in these areas.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
3P30CA023100-19S1
Application #
6653297
Study Section
Subcommittee G - Education (NCI)
Project Start
2002-08-29
Project End
2003-04-30
Budget Start
Budget End
Support Year
19
Fiscal Year
2002
Total Cost
$183,723
Indirect Cost
Name
University of California San Diego
Department
Type
DUNS #
077758407
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Huang, Justin K; Carlin, Daniel E; Yu, Michael Ku et al. (2018) Systematic Evaluation of Molecular Networks for Discovery of Disease Genes. Cell Syst 6:484-495.e5
Kalyanaraman, Hema; Schwaerzer, Gerburg; Ramdani, Ghania et al. (2018) Protein Kinase G Activation Reverses Oxidative Stress and Restores Osteoblast Function and Bone Formation in Male Mice With Type 1 Diabetes. Diabetes 67:607-623
Hartman, Sheri J; Marinac, Catherine R; Cadmus-Bertram, Lisa et al. (2018) Sedentary Behaviors and Biomarkers Among Breast Cancer Survivors. J Phys Act Health 15:1-6
Wu, Yan; Tamayo, Pablo; Zhang, Kun (2018) Visualizing and Interpreting Single-Cell Gene Expression Datasets with Similarity Weighted Nonnegative Embedding. Cell Syst 7:656-666.e4
Dow, Michelle; Pyke, Rachel M; Tsui, Brian Y et al. (2018) Integrative genomic analysis of mouse and human hepatocellular carcinoma. Proc Natl Acad Sci U S A 115:E9879-E9888
Que, Xuchu; Hung, Ming-Yow; Yeang, Calvin et al. (2018) Oxidized phospholipids are proinflammatory and proatherogenic in hypercholesterolaemic mice. Nature 558:301-306
Murzin, Vyacheslav L; Woods, Kaley; Moiseenko, Vitali et al. (2018) 4? plan optimization for cortical-sparing brain radiotherapy. Radiother Oncol 127:128-135
Norton, Jeffrey A; Kim, Teresa; Kim, Joseph et al. (2018) SSAT State-of-the-Art Conference: Current Surgical Management of Gastric Tumors. J Gastrointest Surg 22:32-42
Ikeda, Sadakatsu; Tsigelny, Igor F; Skjevik, Åge A et al. (2018) Next-Generation Sequencing of Circulating Tumor DNA Reveals Frequent Alterations in Advanced Hepatocellular Carcinoma. Oncologist 23:586-593
Buckley, Alexandra R; Ideker, Trey; Carter, Hannah et al. (2018) Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas. Genome Med 10:69

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