The central focus of project 29 is to develop growth-inhibitory peptides for the treatment of cancer using the random synthetic peptide library synthesis and testing technology (""""""""Selective process"""""""") originally conceived of by this project's leaders. This new technology (which can use natural and/or unnatural amino acids) will be used to identify novel peptide ligands which bind with high affinity to 1 of 3 specific molecular targets: (1) cell-surface Ig in B-cell non-Hodgkin's lymphoma (NHL), (2) the enzyme matrilysin (MMP-7), implicated in tumor cell invasion, and (3) the enzyme phosphatidylinositol phospholipase C(PtdInsPLc, PLC), implicated in intracellular signalling after growth factor interaction with tumor cells. High affinity peptides binding to cell-surface Ig from human B-cell lymphomas will be tested for immunotherapeutic growth-inhibitory properties first in preclinical human lymphoma models in vitro and in SCID mice using either unlabeled or radioiodinated techniques. Success in these models will be lead to the subsequent clinical development of patient Cancer Center through project 19. Synthesis of specific random peptides which bind MMP-7 with high affinity and which also inhibit the function of this tumor-secreted enzyme will be scaled up for preclinical testing in vitro and in animal models for tumor cell invasion and for adjuvant therapy of cancer. Identification of specific random peptides which inhibit PLC enzyme activity will be followed with testing in cellular systems to determine whether the peptide leads can inhibit intracellular signalling after growth factor stimulation of tumor cells. Lead peptide inhibitors for PLC will also be tested in relevant human tumor models in SCID mice. Success in these enzyme-inhibition models will lead to selection of candidate peptides for formal pharmaceutical development via industrial collaborators. Phase I/II studies of successful enzyme inhibitors with antitumor activity in animal models would be conducted via project 19 after approval of IND's by the FDA.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA017094-19
Application #
3729144
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
19
Fiscal Year
1995
Total Cost
Indirect Cost
Name
University of Arizona
Department
Type
DUNS #
City
Tucson
State
AZ
Country
United States
Zip Code
85721
Landowski, Terry H; Guntle, Gerald P; Zhao, Dezheng et al. (2016) Magnetic Resonance Imaging Identifies Differential Response to Pro-Oxidant Chemotherapy in a Xenograft Model. Transl Oncol 9:228-35
Barrett, Harrison H; Alberts, David S; Woolfenden, James M et al. (2016) Therapy operating characteristic curves: tools for precision chemotherapy. J Med Imaging (Bellingham) 3:023502
Chang, Hae Ryung; Nam, Seungyoon; Kook, Myeong-Cherl et al. (2016) HNF4? is a therapeutic target that links AMPK to WNT signalling in early-stage gastric cancer. Gut 65:19-32
Samulitis, Betty K; Pond, Kelvin W; Pond, Erika et al. (2015) Gemcitabine resistant pancreatic cancer cell lines acquire an invasive phenotype with collateral hypersensitivity to histone deacetylase inhibitors. Cancer Biol Ther 16:43-51
Malm, Scott W; Hanke, Neale T; Gill, Alexander et al. (2015) The anti-tumor efficacy of 2-deoxyglucose and D-allose are enhanced with p38 inhibition in pancreatic and ovarian cell lines. J Exp Clin Cancer Res 34:31
Landowski, Terry H; Gard, Jaime; Pond, Erika et al. (2014) Targeting integrin ?6 stimulates curative-type bone metastasis lesions in a xenograft model. Mol Cancer Ther 13:1558-66
Nam, S; Chang, H R; Kim, K-T et al. (2014) PATHOME: an algorithm for accurately detecting differentially expressed subpathways. Oncogene 33:4941-51
Dragovich, T; Laheru, D; Dayyani, F et al. (2014) Phase II trial of vatalanib in patients with advanced or metastatic pancreatic adenocarcinoma after first-line gemcitabine therapy (PCRT O4-001). Cancer Chemother Pharmacol 74:379-87
Exley, Mark A; Hand, Laura; O'Shea, Donal et al. (2014) Interplay between the immune system and adipose tissue in obesity. J Endocrinol 223:R41-8
Zhang, Xiaomeng; Pagel, Mark D; Baker, Amanda F et al. (2014) Reproducibility of magnetic resonance perfusion imaging. PLoS One 9:e89797

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