Literature DB >> 20529811

Study on breast carcinoma Her2/neu and hormonal receptors status assessed by automated images analysis systems: ACIS III (Dako) and ScanScope (Aperio).

Janina Słodkowska1, Violetta Filas, Elzbieta Buszkiewicz, Paweł Trzeciak, Michał Wojciechowski, Robert Koktysz, Wojciech Staniszewski, Jan Breborowicz, Marcial Garcia Rojo.   

Abstract

UNLABELLED: Her-2/neu is overexpressed in 20-30% of breast cancer patients and is associated with a more aggressive disease. Identification of Her-2/c-erbB-2-neu overexpression is based on immunohistochemical [ihc] detection of protein and/or gene amplification in fluorescence in situ hybridization test (FISH). Also Estrogen receptors [ER] and Progesterone receptors [PR] are the prognostic and predictive biomarkers, recently analysed by ihc methods. Subjective, manual scoring of the ihc Her-2/neu expression and expression of the ER/PR reported as the percentage of immunopositive cells are the most common mode of interpretation among pathologists. Automated microscopy and computerised processing have provided increased accuracy in quantification and standardisation. THE AIMS OF OUR STUDY WERE: to evaluate the scoring reproducibility of Her-2 /neu ihc expression tested by two automated systems: ACIS (Dako) and ScanScope (Aperio); to estimate the ER/PR expression in ihc staining methods with different anti-ER/anti-PR antibodies (the monoclonal and the ER/PR pharmDx TM Kit) by the ACIS system. Her-2/neu ihc expression was measured in 114 primary invasive breast carcinomas by the manual and the automated scoring (ACIS and Aperio system). 106 slides stained ihc with two types of anti-ER/anti-PR antibodies entered the quantisation. The results of our investigations showed very high reproducibility of Her-2/neu scores in intra- and interobserver analysis by ACIS evaluation. The major concordance was present in strong 3+ ihc cases; very small discordance was shown by cases with low expression of Her-2/neu. The accuracy of scoring by the Aperio was little lower in comparison to ACIS but it might result from the smaller and variable series of samples analysed by Aperio. The concordance in scoring of two automated systems was 86.5% (p<0.0001; gamma=0.887); the discordance was referred only to the lower expression of Her-2/neu. The concordance in manual scoring performed by the single observer and the panel was 84.2% (p<0.0001, gamma = 0.99); the discordance comprised a few cases with strong expression (2+ vs 3+). Very high intra- and interobserver reproducibility of the ER/PR ihc measurements was present in the readers results (referred to the percentage of immunoreactive carcinomatous cell population in the breast carcinomas acc. to the ACIS algorithm). No differences were disclosed in the percentage of ER-immunoreactive and PR-immunoreactive carcinomatous cell populations when used 2 different type of antibodies, in the ACIS automated method.

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Year:  2010        PMID: 20529811     DOI: 10.2478/v10042-010-0015-1

Source DB:  PubMed          Journal:  Folia Histochem Cytobiol        ISSN: 0239-8508            Impact factor:   1.698


  10 in total

1.  Quantitation of HER2/neu expression in primary gastroesophageal adenocarcinomas using conventional light microscopy and quantitative image analysis.

Authors:  Jennifer Jeung; Roshan Patel; Lizette Vila; Dara Wakefield; Chen Liu
Journal:  Arch Pathol Lab Med       Date:  2012-06       Impact factor: 5.534

2.  Digital separation of diaminobenzidine-stained tissues via an automatic color-filtering for immunohistochemical quantification.

Authors:  Rong Fu; Xiaomian Ma; Zhaoying Bian; Jianhua Ma
Journal:  Biomed Opt Express       Date:  2015-01-15       Impact factor: 3.732

3.  Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists.

Authors:  Marilyn M Bui; Michael W Riben; Kimberly H Allison; Elizabeth Chlipala; Carol Colasacco; Andrea G Kahn; Christina Lacchetti; Anant Madabhushi; Liron Pantanowitz; Mohamed E Salama; Rachel L Stewart; Nicole E Thomas; John E Tomaszewski; M Elizabeth Hammond
Journal:  Arch Pathol Lab Med       Date:  2019-01-15       Impact factor: 5.534

4.  Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas.

Authors:  Mark A Samols; Nathan E Smith; Jonathan M Gerber; Milena Vuica-Ross; Christopher D Gocke; Kathleen H Burns; Michael J Borowitz; Toby C Cornish; Amy S Duffield
Journal:  Am J Clin Pathol       Date:  2013-10       Impact factor: 2.493

5.  Membrane connectivity estimated by digital image analysis of HER2 immunohistochemistry is concordant with visual scoring and fluorescence in situ hybridization results: algorithm evaluation on breast cancer tissue microarrays.

Authors:  Aida Laurinaviciene; Darius Dasevicius; Valerijus Ostapenko; Sonata Jarmalaite; Juozas Lazutka; Arvydas Laurinavicius
Journal:  Diagn Pathol       Date:  2011-09-23       Impact factor: 2.644

6.  High-throughput profiling of tissue and tissue model microarrays: Combined transmitted light and 3-color fluorescence digital pathology.

Authors:  Michel Nederlof; Shigeo Watanabe; Bill Burnip; D Lansing Taylor; Rebecca Critchley-Thorne
Journal:  J Pathol Inform       Date:  2011-11-15

7.  Evaluation of HER2 gene amplification in breast cancer using nuclei microarray in situ hybridization.

Authors:  Huiyong Jiang; Xiaoyan Bai; Cheng Zhang; Xuefeng Zhang
Journal:  Int J Mol Sci       Date:  2012-05-08       Impact factor: 6.208

8.  Low Ki67/high ATM protein expression in malignant tumors predicts favorable prognosis in a retrospective study of early stage hormone receptor positive breast cancer.

Authors:  Xiaolan Feng; Haocheng Li; Elizabeth N Kornaga; Michelle Dean; Susan P Lees-Miller; Karl Riabowol; Anthony M Magliocco; Don Morris; Peter H Watson; Emeka K Enwere; Gwyn Bebb; Alexander Paterson
Journal:  Oncotarget       Date:  2016-12-27

9.  Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update.

Authors:  Antonio C Wolff; M Elizabeth H Hammond; David G Hicks; Mitch Dowsett; Lisa M McShane; Kimberly H Allison; Donald C Allred; John M S Bartlett; Michael Bilous; Patrick Fitzgibbons; Wedad Hanna; Robert B Jenkins; Pamela B Mangu; Soonmyung Paik; Edith A Perez; Michael F Press; Patricia A Spears; Gail H Vance; Giuseppe Viale; Daniel F Hayes
Journal:  Arch Pathol Lab Med       Date:  2013-10-07       Impact factor: 5.534

10.  Quantitative histopathological assessment of ocular surface squamous neoplasia using digital image analysis.

Authors:  Rimvydas Ašoklis; Aistė Kadziauskienė; Rasa Paulavičienė; Donatas Petroška; Arvydas Laurinavičius
Journal:  Oncol Lett       Date:  2014-07-22       Impact factor: 2.967

  10 in total

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