We have shown that Fourier-transform-infrared (FT-IR) spectroscopy, coupled with advanced statistics, is a powerful means for discriminating between the DNA of normal, pre-malignant and cancer tissues, thus making it possible to establish cancer probability relationships. Previously, we showed that comparable cancer probability relationships could be established using mutagenic and other modified base structures evinced by gas chromatography-mass spectrometry (GC-MS). The overall objective of the proposed work is to further explore the capability of these models for understanding the etiology of prostate cancer and predicting its occurrence at early stages of oncogenesis.
The specific aims are (I) to validate, in a blinded study, our published cancer probability models of DNA based on FT-IR/statistics technology for distinguishing between prostate cancer (adenocarcinoma), benign prostatic hyperplasia (BPH) and morphologically normal prostate tissue, using an increased number of cases adjusted for age. This would be expected to confirm our published cancer probability models that were based on a relatively small number of samples; (II) to obtain representative samples from the peripheral, central and transition zones of normal and cancerous prostate glands (from which 70 percent, 20 percent and 10 percent of cancers arise) and determine differences in the DNA structures from each zone, using the FT-IR/statistics technology; (III) to determine, with GC-MS, radical- induced base modifications in DNA (e.g., 8-hydroxyguanine) using representative samples from (II) and correlate the results with those obtained by FT-IR/statistics technology; (IV) to determine differences between the DNA of primary prostatic adenocarcinoma and primary tumors that have metastasized based on FT-IR/statistics and GC-MS models; and (V) to apply recently developed equipment for reducing the amount of prostate DNA required for FT-IR spectral analysis to substantially less than a 1.0mug and demonstrate that it produces IR spectra that are statistically indistinguishable from spectra presently obtained with much larger sample sizes. At the conclusion of these studies we expect to have significantly increased understanding of the etiology of prostate cancer and established a promising basis for cancer prediction.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA079690-01
Application #
2728906
Study Section
Special Emphasis Panel (ZRG2-MEP (04))
Program Officer
Jacobson, James W
Project Start
1999-01-15
Project End
2002-12-31
Budget Start
1999-01-15
Budget End
1999-12-31
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Pacific Northwest Research Institute
Department
Type
DUNS #
City
Seattle
State
WA
Country
United States
Zip Code
98122
Malins, Donald C; Gilman, Naomi K; Green, Virginia M et al. (2005) A cancer DNA phenotype in healthy prostates, conserved in tumors and adjacent normal cells, implies a relationship to carcinogenesis. Proc Natl Acad Sci U S A 102:19093-6
Malins, Donald C; Gilman, Naomi K; Green, Virginia M et al. (2004) Metastatic cancer DNA phenotype identified in normal tissues surrounding metastasizing prostate carcinomas. Proc Natl Acad Sci U S A 101:11428-31
Malins, Donald C; Johnson, Paul M; Barker, Edward A et al. (2003) Cancer-related changes in prostate DNA as men age and early identification of metastasis in primary prostate tumors. Proc Natl Acad Sci U S A 100:5401-6
Malins, D C; Johnson, P M; Wheeler, T M et al. (2001) Age-related radical-induced DNA damage is linked to prostate cancer. Cancer Res 61:6025-8
Malins, D C; Polissar, N L; Ostrander, G K et al. (2000) Single 8-oxo-guanine and 8-oxo-adenine lesions induce marked changes in the backbone structure of a 25-base DNA strand. Proc Natl Acad Sci U S A 97:12442-5