Abstract

This Program Project Grant consists of five Projects and two Cores designed to optimize the development of nuclear magnetic resonance technology for both basic cancer research and clinical applications. Three of the Projects concentrate on developing and utilizing ultra high resolution proton imaging procedures. Two of these follow the evolution of preneoplastic tissue to metastatic hepatocellular carcinoma; one in a chemical carcinogenic model in rats, the other in a viral hepatitis model in woodchucks. The remaining one evaluates the efficacy of NMR examinations for diagnosis of metastatic axillary lymph nodes. The other two Projects use primarily NMR spectroscopic methods to investigate the metabolic and physiological consequences of neoplastic transformation. The studies concern pH regulation in well defined cell lines transformed with oncogenes and the metabolism of a range of isolated arterially- perfused hepatomas. An Instrumental Support core provides the technical support to develop the necessary special purpose NMR probes and imaging surface coils required for these Projects. An Administrative Core provides budgetary control and clerical services for the PPG.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA041078-01A1
Application #
3093810
Study Section
(SRC)
Project Start
1987-06-05
Project End
1990-05-31
Budget Start
1987-06-05
Budget End
1988-05-31
Support Year
1
Fiscal Year
1987
Total Cost
Indirect Cost

  Institution

Name
Fox Chase Cancer Center
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19111

  Publications

Lee, Seung-Cheol; Arias-Mendoza, Fernando; Poptani, Harish et al. (2012) Prediction and Early Detection of Response by NMR Spectroscopy and Imaging. PET Clin 7:119-26
Hultman, Kristi L; Raffo, Anthony J; Grzenda, Adrienne L et al. (2008) Magnetic resonance imaging of major histocompatibility class II expression in the renal medulla using immunotargeted superparamagnetic iron oxide nanoparticles. ACS Nano 2:477-84
Stoyanova, Radka; Nicholson, Jeremy K; Lindon, John C et al. (2004) Sample classification based on Bayesian spectral decomposition of metabonomic NMR data sets. Anal Chem 76:3666-74
Sajda, Paul; Du, Shuyan; Brown, Truman R et al. (2004) Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans Med Imaging 23:1453-65
Stoyanova, Radka; Querec, Troy D; Brown, Truman R et al. (2004) Normalization of single-channel DNA array data by principal component analysis. Bioinformatics 20:1772-84
Stoyanova, Radka; Nicholls, Andrew W; Nicholson, Jeremy K et al. (2004) Automatic alignment of individual peaks in large high-resolution spectral data sets. J Magn Reson 170:329-35
Nahum, Alan E; Movsas, Benjamin; Horwitz, Eric M et al. (2003) Incorporating clinical measurements of hypoxia into tumor local control modeling of prostate cancer: implications for the alpha/beta ratio. Int J Radiat Oncol Biol Phys 57:391-401
Stoyanova, R; Brown, T R (2002) NMR spectral quantitation by principal component analysis. III. A generalized procedure for determination of lineshape variations. J Magn Reson 154:163-75
Stoyanova, R; Brown, T R (2001) NMR spectral quantitation by principal component analysis. NMR Biomed 14:271-7
Ochs, M F; Stoyanova, R S; Arias-Mendoza, F et al. (1999) A new method for spectral decomposition using a bilinear Bayesian approach. J Magn Reson 137:161-76

Showing the most recent 10 out of 46 publications