Use of automated image analysis in evaluation of Mesothelioma Tissue Microarray (TMA) from National Mesothelioma Virtual Bank

Details

• Personal Author:
  Amin W ; Becich MJ ; Parwani AV ; Song SY ; Srinivasan M
• Description:
  The National Mesothelioma Virtual Bank (NMVB) was established to provide annotated biospecimens to the mesothelioma research community. The resource provides tissue microarrays (TMA) to evaluate the biomarkers along with a variety of other resected mesothelioma specimens. In this manuscript, we describe the immunohistochemical evaluation of the mesothelioma TMA with three key antibodies that are used in making the diagnosis of mesothelioma, and compared the immunohistochemical assessment between manual scoring and image analysis. The TMA was assessed for the immunohistochemical expression of calretinin (N=39), cytokeratin (CK) 5/6 (N=33), and D2-40 (N=37). Immunohistochemistry was evaluated by semi-quantitative (manual) scoring using light microscope (MS) and by automated image analysis (AS). Calretinin staining was seen in both cytoplasmic and nuclear locations. CK5/6 stain was localized to the cytoplasm. D2-40 stain showed only membranous expression in our cases. -- Based on the pathologist's scores, calretinin was positive in 31 of the 39 cases (80%), CK 5/6 in 15 of the 33 cases (46%) and D2-40 in 18 of the 37 cases (49%). -- The percent-positive agreement between manual scores and image analysis was 90% (35/39), 94% (31/33), and 95% (35/37) for calretinin, CK 5/6, and D2-40, respectively. There was a substantial agree-ment between manual and automated scores for calretinin (kappa = 0.614) and an almost perfect agreement for CK5/6 (kappa = 0.879) and D2-40 (kappa = 0.892). Our study confirms that the immunohistochemical staining pattern of mesotheliomas in the NMVB UPMC TMA is similar to other studies. Our findings also show that automated image analysis provides similar results to manual scoring by pathologists, and provides a reproducible, objective, and accurate platform for immunohistochemical assessment of biomarker expression. [Description provided by NIOSH]
• Subjects:
  Biomarkers Diagnosis Genetics Lung Lung Diseases Microbiology Neoplasms Occupational Health Respiratory System Respiratory Tract Diseases Safety

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• Keywords:
  Author Keywords: Mesothelioma TMA Automated Immunohistochemical Image Analysis Biostatistics Cancer Diagnostic-techniques Diagnostic-tests Genes Genetic-factors Lung-cancer Lung-cells Lung-disease Malignant-neoplasms Mesothelial-cells Microscopic-analysis Molecular-biology Pathogenesis Pleural-cavity Recombinant-DNA Tumors

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• ISSN:
  0344-0338
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; OSHA Region 1 ; OSHA Region 3 ; Pennsylvania ; Rhode Island
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  79-82
• Volume:
  210
• Issue:
  2
• NIOSHTIC Number:
  nn:20045530
• Citation:
  Pathol Res Pract 2014 Feb; 210(2):79-82
• Contact Point Address:
  Waqas Amina, Department of Biomedical Informatics, Department of Pathology at University of Pittsburgh Medical Center, Pittsburgh, PA, United States
• Email:
  waa8@pitt.edu
• Federal Fiscal Year:
  2014
• Performing Organization:
  University of Pittsburgh at Pittsburgh
• Peer Reviewed:
  True
• Start Date:
  20060901
• Source Full Name:
  Pathology, Research and Practice
• End Date:
  20260831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:0729263ed8db9c4c173599aa9c044ad920812c9581250db7cfedaa35ce5ee2a6c9fdf1fc965249356534c16e1380c1e5bba0e100b8ed8bb81b6a152d09a0f27d
• Download URL:
  https://stacks.cdc.gov/view/cdc/200923/cdc_200923_DS1.pdf
• File Type:
  [PDF - 1.35 MB ]