Scientific and Technical Aerospace Reports Volume 39 April 6, 2001

a recently identified cell survival gene that interacts with Bcl-2, providing a possible molecular basis for interaction between retinoid
and apoptosis signaling. In studying regulation of RAR-beta expression, we demonstrate that two retinoid signaling pathways,
i.e., the RXR-dependent pathway and the RAR-dependent pathway, can induce RAR-beta expression and growth inhibition.
In addition, we have found that lack of COUP-TF expression is mainly responsible for loss of RAR-beta expression in retinoidresistant
breast cancer cells. These results largely enhance our understanding of the mechanism of retinoid action in breast cancer
cells and also point to a possibility of restoring or enhancing retinoid activity in breast cancer cells.
DTIC
Retinene; Apoptosis; Cancer; Estrogens
20010025740 BBN Systems and Technologies Corp., Cambridge, MA USA
Stereoscopic Digital Mammography: Improving Cancer Diagnosis Final Report, 17 Jun. 1996-16 Jun. 2000
Getty, David J.; Jul. 2000; 62p; In English
Contract(s)/Grant(s): DAMD17-96-C-6079
Report No.(s): AD-A385848; No Copyright; Avail: CASI; A04, Hardcopy; A01, Microfiche
The subject of study in this project was the potential benefit of using stereoscopic digital mammography as an adjunct to standard
film mammography to improve the detection and diagnosis of breast cancer. We sought to determine whether stereo mammography
might bring significant gains - either in earlier detection of worrisome lesions, or in more accurate discrimination of
lesions as benign or malignant. Several main activities were required to accomplish this evaluation. We further developed and
refined a system for capturing and viewing stereo mammograms, using state-of-the-art digital methods. Over the duration of the
project, stereo mammograms and film studies were acquired on a large number of path-proven cases. Three experienced
mammographers served as consultants, and an extensive effort was devoted to developing with them a comprehensive list of visual
features to consider in reading the stereo mammograms. In a final reading study with 137 cases, we measured diagnostic accuracy
obtained with standard film mammograms alone compared to that obtained with film combined with the stereo mammogram. We
found that the stereo mammogram significantly improved diagnostic accuracy. A second, exciting finding was that new, additional
lesions, mostly masses, were detected in the stereo mammogram but were not visible in the film study, in 30% of the cases.
DTIC
Mammary Glands; Cancer; Diagnosis
20010025744 Johns Hopkins Univ., School of Medicine, Baltimore, MD USA
Combined Use of Tissue Morphology, Neural Network Analysis of Chromatin Texture & Clinical Variables to Predict
Prostate Cancer Agressiveness from Biopsy Material Annual Report, 1 Oct. 1998-30 Sep. 1999
Partin, Alan; Oct. 1999; 25p; In English
Contract(s)/Grant(s): DAMD17-98-1-8468
Report No.(s): AD-A385853; No Copyright; Avail: CASI; A03, Hardcopy; A01, Microfiche
the purpose of this report is to combine clinical, serum, pathological and computer derived information into an artificial neural
network to develop/validate a model to predict prostate cancer tumor aggressiveness in both a retrospective and prospective cohort
of men with clinically localized prostate cancer both prior to and after radical prostatectomy. Prospective enrollment of 500 men
who are scheduled to undergo radical prostatectomy (year 01). Development of a artificial neural network model (year 02). Prospective
validation of this model (projected year 03). All models will be tested and developed for biopsy and prostatectomy material.
to date, we have completed prospective enrollment of 527 men, collected tissue, serum and clinical/pathological information
for 387 and completed computer image data analysis of 171 samples. No model has been developed to date and awaits final enrollment.
We anticipate final prospective data to be complete and model developed by 1/4/2000. At this time we will begin enrollment
of prospective validation samples.
DTIC
Morphology; Prostate Gland; Cancer; Image Analysis; Network Analysis
20010025745 Yale Univ., New Haven, CT USA
Predoctoral Training Program in Breast Cancer Research Annual Report, 1 Aug. 1999-31 Jul. 00
Stern, David; Aug. 2000; 15p; In English
Report No.(s): AD-A385858; No Copyright; Avail: CASI; A03, Hardcopy; A01, Microfiche
Breast cancer is one of the leading causes of cancer deaths of women in the USA. Fortunately, this disease is no longer a ”black
box” that can only be studied empirically. Rather, recent advances in understanding of normal mammary development and carcinogenic
processes have identified a number of specific genes and processes that are dysregulated in breast cancer. This means
that research on breast cancer has finally advanced to the stage where a concentrated effort in translational research will yield great
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