Java Web Start based software for automated quantitative nuclear analysis of prostate cancer and benign prostate hyperplasia Public Deposited

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Creator
  • Mohler, James L
    • Affiliation: School of Medicine, Department of Pathology and Laboratory Medicine, N.C. Cancer Hospital, UNC Lineberger Comprehensive Cancer Center
    • Other Affiliation: Department of Urologic Oncology, Roswell Park Cancer Institute, Buffalo, USA; Department of Urology, State University of New York at Buffalo, Buffalo, USA
  • Kim, Desok
    • Other Affiliation: School of Engineering, Information and Communications University, Daejeon, Korea
  • Singh, Swaroop S
    • Affiliation: N.C. Cancer Hospital, UNC Lineberger Comprehensive Cancer Center, School of Medicine
Abstract
  • Abstract Background Androgen acts via androgen receptor (AR) and accurate measurement of the levels of AR protein expression is critical for prostate research. The expression of AR in paired specimens of benign prostate and prostate cancer from 20 African and 20 Caucasian Americans was compared to demonstrate an application of this system. Methods A set of 200 immunopositive and 200 immunonegative nuclei were collected from the images using a macro developed in Image Pro Plus. Linear Discriminant and Logistic Regression analyses were performed on the data to generate classification coefficients. Classification coefficients render the automated image analysis software independent of the type of immunostaining or image acquisition system used. The image analysis software performs local segmentation and uses nuclear shape and size to detect prostatic epithelial nuclei. AR expression is described by (a) percentage of immunopositive nuclei; (b) percentage of immunopositive nuclear area; and (c) intensity of AR expression among immunopositive nuclei or areas. Results The percent positive nuclei and percent nuclear area were similar by race in both benign prostate hyperplasia and prostate cancer. In prostate cancer epithelial nuclei, African Americans exhibited 38% higher levels of AR immunostaining than Caucasian Americans (two sided Student's t-tests; P < 0.05). Intensity of AR immunostaining was similar between races in benign prostate. Conclusion The differences measured in the intensity of AR expression in prostate cancer were consistent with previous studies. Classification coefficients are required due to non-standardized immunostaining and image collection methods across medical institutions and research laboratories and helps customize the software for the specimen under study. The availability of a free, automated system creates new opportunities for testing, evaluation and use of this image analysis system by many research groups who study nuclear protein expression.
Date of publication
Identifier
  • 15888205
  • doi:10.1186/1475-925X-4-31
Resource type
  • Article
Rights statement
  • In Copyright
Rights holder
  • Swaroop S Singh et al.; licensee BioMed Central Ltd.
License
Journal title
  • BioMedical Engineering OnLine
Journal volume
  • 4
Journal issue
  • 1
Page start
  • 31
Language
  • English
Is the article or chapter peer-reviewed?
  • Yes
ISSN
  • 1475-925X
Bibliographic citation
  • BioMedical Engineering OnLine. 2005 May 11;4(1):31
Access
  • Open Access
Publisher
  • BioMed Central Ltd
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