Chemistry: molecular biology and microbiology – Measuring or testing process involving enzymes or... – Involving nucleic acid
Patent
1994-09-29
2000-02-15
Scheiner, Toni R.
Chemistry: molecular biology and microbiology
Measuring or testing process involving enzymes or...
Involving nucleic acid
435 723, 436 63, 436 64, 436813, G01N 33574, C12Q 168
Patent
active
06025128&
ABSTRACT:
A method for screening individuals at risk for prostate cancer progression is disclosed. The method is useful for evaluating cells from patients at risk for recurrence of prostate cancer following surgery for prostate cancer. Specifically, the method uses specific Markovian nuclear texture factors, alone or in combination with other biomarkers, to determine whether the cancer will progress or lose organ confinement. In addition, methods of predicting the development of fatal metastatic disease by statistical analysis of selected biomarkers is also disclosed. The invention also contemplates a method that uses a neural network to analyze and interpret cell morphology data. Utilizing Markovian factors and other biomarkers as parameters, the network is first trained with a sets of cell data from known progressors and known non-progressors. The trained network is then used to predict prostate cancer progression in patient samples.
REFERENCES:
Bartels, "Computer-Generated Diagnosis and Image Analysis," Cancer Supplement, 69(6):1636-1638, Mar. 1992.
Bartels et al., "A Self-Learning Computer Program for Cell Recognition," ACTA Cytologica, 14(8):486-494, Sep.-Oct. 1970.
Bartels et al., "Machine Learning in Quantitative Histopathology," Analytical and Quantitative Cytology and Histology, 10(4):299-306, Aug. 1988.
Burke et al., "Artificial Neural Networks for outcome Prediction in Cancer," World Congress on Neural Networks--San Diego, 1994 International Neural Network Society Annual Meeting, I:53-56, Jun. 1994.
Carmichael et al., "Deoxyribonucleic Acid Ploidy Analysis as a Predictor of Recurrence Following Radical Prostatectomy for Stage T2 Disease," The Journal of Urology, 153:1015-1019, Mar. 1995.
Criley et al., "Prospective Validation of Prognostic Factor Score (PFS) as a Predictor of PSA Recurrence After Radical Prostatectomy in 124 Men with Clinically Localized Prostate Cancer," The Journal of Urology, 153(4), AUA Ninetieth Annual Meeting, Apr. 1995.
D'Amico et al., "A Multivariate Analysis of Clinical and Pathological Factors That Predict for Prostate Specific Antigen Failure After Radical Prostatectomy for Prostate Cancer," The Journal of Urology, 154:131-138, Jul. 1995.
Diamond et al., "Computerized Image Analysis of Nuclear Shape as a Prognostic Factor for Prostatic Cancer," The Prostate, 3:321-332, 1982.
Epstein et al., "Correlation of Pathologic Findings with Progression After Radical Retropubic Prostatectomy," Cancer, 71(11):3582-3593, Jun. 1993.
Epstein et al., "Correlation of Prostate Cancer Nuclear Deoxyribonucleic Acid, Size, Shape and Gleason Grade with Pathological Stage at Radical Prostatectomy," The Journal of Urology, 148:87-91, Jul. 1992.
Kim et al., "Semiautomated Nuclear Shape Analysis of Prostatic Carcinoma and Benign Prostatic Hyperplasia," Analytical and Quantitative Cytology and Histology, 16(6): 400-414, Dec. 1994.
Mohler et al., "Nuclear Morphometry in Automatic Biopsy and Radical Prostatectomy Specimens of Prostatic Carcinoma, A Comparison," Analytical and Quantitative Cytology and Histology, 16(6):415-420, Dec. 1994.
Oberholzer et al., "Some Fundamental Aspects of Morphometry in Clinical Pathology, Demonstrated on a Simple, Multipurpose Analysis System," Analytical and Quantitative Cytology and Histology, 13(5):316-320, Oct. 1991.
Partin et al., "A Comparison of Nuclear Morphometry and Gleason Grade as a Predictor of Prognosis in Stage A2 Prostate Cancer: A Critical Analysis," The Journal of Urology, 142:1254-1258, Nov. 1989.
Peller et al., "Sextant Prostate Biopsies, A Histopathologic Correlation with Radical Prostatectomy Specimens," Cancer, 75(2):530-538, Jan. 1995.
Sherwood et al., "Feature Selection in Cell Image Analysis: Use of the ROC Curve," ACTA Cytologica, 20(3):255-261, May-Jun. 1976.
van den Ouden et al., "Deoxyribonucleic Acid Ploidy of Core Biopsies and Metastatic Lymph Nodes of Prostate Cancer Patients: Impact on Time to Progression," The Journal of Urology, 150:400-406, Aug. 1993.
Veltri et al., Correlation of Chromatin Complexity, DNA content, HER-2-neu, PD-41, and PCNA with Prostate Cancer Organ-Confined Disease Status, Proceedings American Asociation for Cancer Research, 86th Annual Meeting, Toronto, Ontario, Canada, vol. 36, Mar. 1995.
Veltri et al., "Multivariate Statistical Modeling of Biomarkers as Predictors of Recurrence Following Radical Prostatectomy," American Urological Association, Inc., 1994 Annual Meeting, San Francisco, CA, Oct. 1993.
Veltri et al., "Quantitative Nuclear Morphometry, Markovian Texture Descriptors, and DNA Content Captured on a CAS-200 Image Analysis System, Combined with PCNA and HER-2
eu Immunohistochemistry for Prediction of Prostate Cancer Progression," Journal of Cellular Biochemistry Supplement, 19:249-258, 1994.
Wang et al., "Morphometry of Nuclei of the Normal and Malignant Prostate in Relation to DNA Ploidy," Analytical and Quantitative Cytology and Histology, 14(3):210-216, Jun. 1992.
Wied et al., "Image Analysis in Quantitative Cytopathology and Histopathology," Human Pathology, 20(6):549-571, Jun. 1989.
Stozka et al., "A Hybrid Neural and Statistical Classifier System for Histopathologic Grading of Prostatic Lesions," Analytical and Quantitative Cytology and Histology, 17(3):204-218, Jun. 1995.
Ashenayi et al., "Gaussian Perceptron Capable of Classifying "2N+1" Distinct Classes of Input Patterns," Control and Computers, 20(2):54-59, 1992.
Bibbo et al., "Architectural, Morphometric and Photometric Features and Their Relationship to the Main Subjective Diagnostic Clues in the Grading of Prostatic Cancer," Analytical and Quantitative Cytology and Histology, 12(2):85-90, 1990.
Bostwick et al., "Staging of Early Prostate Cancer: A Proposed Tumor Volume-Based Prognostic Index," Scientific Articles, 41(5):403-411, 1993.
Christen et al., "Chromatin Texture Features in Hematoxylin and Eosin-Stained Prostate Tissue," Analytical and Quantitative Cytology and Histology, 15(6):383-387, 1993.
Dawson et al., "Chromatin Texture Measurement by Markovian Analysis Use of Nuclear Models to Define and Select Texture Features," Analytical and Quantitative Cytology and Histology, 15(4):227-235, 1993.
Diamond et al., "A New Method to Assess Metastatic Potential of Human Prostate Cancer: Relative Nuclear Roundness," The Journal of Urology, 128:729-734, 1982.
Irinopoulou et al., "Toward Objective Prognostic Grading of Prostatic Carcinoma Using Image Analysis," Analytical and Quantitative Cytology and Histology, 15(5):341-344, 1993.
Mohler et al., "Nuclear Roundness Factor Measurement for Assessment of Prognosis of Patients with Prostatic Carcinoma. I. Testing of a Digitization System," The Journal of Urology, 139:1080-1084, 1988.
Mohler et al., "Nuclear Roundness Factor Measurement for Assessment of Prognosis of Patients with Prostatic Carcinoma. II. Standardization of Methodology for Histologic Sections," The Journal of Urology, 139: 1085-1090, 1988.
Narayan et al., "Automated Image Analysis--a New Technique to Predict Metastatic Potential of Prostate Carcinomas," J. Urol., 141(4 part of 2):183, Abstract, 1989.
Oesterling, "Prostate Specific Antigen: A Critical Assessment of the Most Useful Tumor Marker for Adenocarcinoma of the Prostate," The Journal of Urology, 145:907-923, 1991.
Partin, "Serum PSA After Anatomic Radical Prostatectomy," Prostatic Tumor Markers, 20(4):713-725, 1993.
Partin, "Use of Nuclear Morphometry, Gleason Histologic Scoring, Clinical Stage, and Age to Predict Disease-Free Survival Among Patients with Prostate Cancer," Cancer, 70(1):161-168, 1992.
Partin, "The Use of Prostate Specific Antigen, Clinical Stage and Gleason Score to Predict Pathological Stage in Men with Localized Prostate Cancer," The Journal of Urology, 150:110-114, 1993.
Pressman, "Markovian Analysis of Cervical Cell Images," The Journal of Histochemistry and Cytochemistry, 24(1):138-144, 1976.
Ashenayi Kaveh
Bacus Michael P.
Coffey Donald P.
Epstein Jonathan I.
Miller M. Craig
Cytodiagnostics, Inc.
John Hopkins University
Scheiner Toni R.
The University of Tulsa
LandOfFree
Prediction of prostate cancer progression by analysis of selecte does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Prediction of prostate cancer progression by analysis of selecte, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Prediction of prostate cancer progression by analysis of selecte will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1904690