Abstract

AND MISSION There are several ways that new cancer therapeutics can be optimized. Drug scheduling and pharmacokinetic issues clearly relate to outcome. For example* dose-dense scheduling provides superior outcomes in breast cancer adjuvant therapy. Drug metabolism and inadequate drug levels, as has been suggested for tamoxifen, may also adversely affect outcome. Understanding and identifying sources of variability in responsiveness to anti-cancer drug therapy is a significant challenge to clinical investigators. The source of variability may not be obvious and thus, techniques to help identify, explain and evaluate the variability are needed to assure proper interpretation of clinical trial results. The developing Clihical Pharmacology Shared Resource will provide to Cancer Center members: ? consultion services to assist in the design, conduct and data interpretation of pharmacokinetic, pharmacodynamic and pharmacogenetjc studies* ? analytical services for development of drug assays and drug quantification of study specimens, ? sample acquisition services to assist in obtaining, processing and storage of samples for local and multi-center pharmacology studies.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
3P30CA077598-14S1
Application #
8530530
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2012-02-01
Budget End
2013-01-31
Support Year
14
Fiscal Year
2012
Total Cost
$2,679
Indirect Cost
$917

  Institution

Name
University of Minnesota Twin Cities
Department
Type
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455

  Publications

Scott, Milcah C; Temiz, Nuri A; Sarver, Anne E et al. (2018) Comparative Transcriptome Analysis Quantifies Immune Cell Transcript Levels, Metastatic Progression, and Survival in Osteosarcoma. Cancer Res 78:326-337
Guo, Zhijun; Johnson, Veronica; Barrera, Jaime et al. (2018) Targeting cytochrome P450-dependent cancer cell mitochondria: cancer associated CYPs and where to find them. Cancer Metastasis Rev 37:409-423
Stabile, Laura P; Farooqui, Mariya; Kanterewicz, Beatriz et al. (2018) Preclinical Evidence for Combined Use of Aromatase Inhibitors and NSAIDs as Preventive Agents of Tobacco-Induced Lung Cancer. J Thorac Oncol 13:399-412
Ho, Yen-Yi; Nhu Vo, Tien; Chu, Haitao et al. (2018) A Bayesian hierarchical model for demand curve analysis. Stat Methods Med Res 27:2038-2049
Ustun, C; Brunstein, C; DeFor, T et al. (2018) Importance of conditioning regimen intensity, MRD positivity, and KIR ligand mismatch in UCB transplantation. Bone Marrow Transplant 53:97-100
How, Joan; Vij, Kiran R; Ebadi, Maryam et al. (2018) Prognostic value of prior consolidation in acute myeloid leukemia patients undergoing hematopoietic cell transplantation in minimal residual disease-negative first complete remission. Am J Hematol 93:E381-E383
Kaizer, Alexander M; Hobbs, Brian P; Koopmeiners, Joseph S (2018) A multi-source adaptive platform design for testing sequential combinatorial therapeutic strategies. Biometrics 74:1082-1094
Williams, Shelly M; Sumstad, Darin; Kadidlo, Diane et al. (2018) Clinical-scale production of cGMP compliant CD3/CD19 cell-depleted NK cells in the evolution of NK cell immunotherapy at a single institution. Transfusion 58:1458-1467
Sperduto, Paul W; Deegan, Brian J; Li, Jing et al. (2018) Estimating survival for renal cell carcinoma patients with brain metastases: an update of the Renal Graded Prognostic Assessment tool. Neuro Oncol 20:1652-1660
Li, Danni; Huang, Fangying; Zhao, Yingchun et al. (2018) Plasma lipoproteome in Alzheimer's disease: a proof-of-concept study. Clin Proteomics 15:31

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