Attacking cancer with basic,
pre-clinical and clinical MRI & MRS
Tumor Metabolomics and Biomarkers
Goal: The goal of this work is to discover and measure the effectiveness of pharmaceutical treatments that suppress tumor growth.
Specific Aim 1: to use
Metabolomics: Using NMR spectroscopy and principal component analysis (PCA) it is now possible to distinguish between the metabolic profiles of tumor and normal tissue. We have demonstrated this for liver cancer and further work will establish the metabolic signatures that characterize various types and stages of cancer. The main value of this approach is that it can expedite the drug discovery process. Preclinical and clinical pharmaceutical tests for the treatment of cancer can also be non-invasively monitored by quantitation of metabolites.
Methods and Preliminary Results:
Using a rodent model of liver tumor, tissue extracts have been prepared using perchloric acid or a mixture of methanol and water. NMR spectra have been obtained for normal and cancerous tissue. Spectra have been subjected to principal component analysis (PCA) and quantification of individual metabolites. The figure below shows: a schematic diagram of the experimental model populations included in the study, the scores plot of the results of PCA which show that the three types of tissue can be clearly distinguished, and a bar graph showing the ratios of concentrations of key metabolites from the 1D NMR spectra indicating changes in metabolism of tumors.
Figures: (TOP) Experimental Model of sample populations of tissue extract for which NMR spectra will be obtained; (CENTER) Scores plot of the results of principal component analysis from tissue extracts from liver tumor, contol and normal rats; (BOTTOM) ratio of metabolites from tumor and control rat liver.
Specific Aim 2: to use
The following basic, pre-clinical and clinical research goals are also part of the research program for the application of magnetic resonance in medicine.
Basic Cancer Research
Structural Biology: The goal of this work is to determine
the structures of
Computational Cancer Research
Beyond Structure: The goal of this work is to bridge the
gap between basic science and clinical practice. The availability of an ample
number of protein and
Cell Tracking in Cancer Research
Research: The goal of this work is to find new ways to monitor the growth and
treatment of cancer cells and stem cells. Cell tracking promises to be an important tool in the
effort to understand the spread and treatment of certain cancers, and other
diseases. The use of digital imaging coupled with in vivo magnetic
resonance spectroscopy (