Literature DB >> 16785779

HER-2 status in breast cancer: correlation of gene amplification by FISH with immunohistochemistry expression using advanced cellular imaging system.

Armando Ciampa1, Bo Xu, Gamze Ayata, Daniel Baiyee, Jan Wallace, Michael Wertheimer, Kathryn Edmiston, Ashraf Khan.   

Abstract

It has become important to accurately evaluate the status of HER-2/neu in invasive breast cancer, especially when one is considering the use of anti-HER-2 monoclonal antibody therapy (Trastuzumab). Almost one third of invasive breast carcinomas overexpress the HER-2/neu protein, so the use of the anti-HER-2/neu monoclonal antibody Herceptin (trastuzumab) to block the protein has become important in the management of and in prolonging the survival for patients with metastatic breast cancer. The effectiveness of this therapy is dependent on accurately evaluating the HER-2 status in these tumors, which can be done either by studying the expression of HER-2 protein by immunohistochemistry (IHC) or by evaluating HER-2 gene amplification by fluorescent in situ hybridization (FISH). Since interobserver variability may occur in manually grading HER-2 protein expression by IHC, the aim of this study was to compare the HER-2/neu expression by IHC using a computer-based image analysis system with that of the gene amplification by FISH. Formalin-fixed paraffin-embedded archival tissue from 108 primary infiltrating ductal carcinomas were immunostained using the HercepTest (DAKO). To reduce interobserver variability, membrane staining was evaluated using the Automated Cellular Imaging System (ACIS) by ChromaVision, and the cases were divided into four groups: group 1 (n=23) with HER-2/neu expression ACIS score less than or equal to 1.5; group 2 (n=17) with a score ranging from 1.6 to 1.9; group 3 (n=46) with a score 2.0 to 2.5; and group 4 (n=22) with a score greater than or equal to 2.6. FISH was performed on all of the 108 cases using the PathVysion HER-2/neu DNA probe kit from Vysis Inc. All cases were also manually reviewed and graded as negative, 1+, 2+, and 3+ according to the DAKO HercepTest grading scheme. Cases with negative and 1+immunostaining were considered as HER-2 not overexpressed, and cases with 2+ and 3+ staining were classified as showing HER-2 overexpression. In group 1, 1 of 23 (4%), in group 2, 2 of 17 (12%), in group 3, 5 of 46 (11%), and in group 4, 19 of 22 (86%) cases showed gene amplification by FISH. Furthermore, in group 4 all 15 (100%) cases with an ACIS score of 3 or greater were FISH positive. Correlation with manual IHC score and FISH showed that 2 of the 23 (9%) IHC negative (0 and 1+) cases and 25 of the 85 (29%) IHC positive (2+ and 3+) cases showed gene amplification by FISH. This study shows that the amplification of the HER-2/neu gene correlates better with overexpression of the HER-2/neu protein by IHC when the score is either less than 1.5 or greater than 2.6 by ACIS. Therefore, FISH may be useful to better evaluate HER-2/neu status in breast cancer in cases where the ACIS score by immunohistochemistry is 1.6 to 2.5, and since the correlation is so good, FISH may not be needed for HER-2 evaluation in cases with ACIS scores less than 1.5 and greater than 2.6.

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Year:  2006        PMID: 16785779     DOI: 10.1097/01.pai.0000150516.75567.13

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  13 in total

1.  Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopy.

Authors:  Marios A Gavrielides; Brandon D Gallas; Petra Lenz; Aldo Badano; Stephen M Hewitt
Journal:  Arch Pathol Lab Med       Date:  2011-02       Impact factor: 5.534

2.  Computer Aided Semi-Automated Evaluation of HER2 Immunodetection--A Robust Solution for Supporting the Accuracy of Anti HER2 Therapy.

Authors:  Tamás Micsik; Gábor Kiszler; Daniel Szabó; László Krecsák; Csaba Hegedűs; Krenács Tibor; Béla Molnár
Journal:  Pathol Oncol Res       Date:  2015-03-19       Impact factor: 3.201

3.  Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation.

Authors:  Lynne Dobson; Catherine Conway; Alan Hanley; Alex Johnson; Sean Costello; Anthony O'Grady; Yvonne Connolly; Hilary Magee; Daniel O'Shea; Michael Jeffers; Elaine Kay
Journal:  Histopathology       Date:  2010-06-24       Impact factor: 5.087

Review 4.  HER2-positive male breast cancer: an update.

Authors:  Laura Ottini; Carlo Capalbo; Piera Rizzolo; Valentina Silvestri; Giuseppe Bronte; Sergio Rizzo; Antonio Russo
Journal:  Breast Cancer (Dove Med Press)       Date:  2010-10-04

5.  Automated quantitative assessment of HER-2/neu immunohistochemical expression in breast cancer.

Authors:  Hela Masmoudi; Stephen M Hewitt; Nicholas Petrick; Kyle J Myers; Marios A Gavrielides
Journal:  IEEE Trans Med Imaging       Date:  2009-01-19       Impact factor: 10.048

6.  Inter-observer reproducibility of HER2 immunohistochemical assessment and concordance with fluorescent in situ hybridization (FISH): pathologist assessment compared to quantitative image analysis.

Authors:  Gulisa Turashvili; Samuel Leung; Dmitry Turbin; Kelli Montgomery; Blake Gilks; Rob West; Melinda Carrier; David Huntsman; Samuel Aparicio
Journal:  BMC Cancer       Date:  2009-05-29       Impact factor: 4.430

7.  Inherited and acquired alterations in development of breast cancer.

Authors:  Piera Rizzolo; Valentina Silvestri; Mario Falchetti; Laura Ottini
Journal:  Appl Clin Genet       Date:  2011-11-14

8.  Development of automated brightfield double in situ hybridization (BDISH) application for HER2 gene and chromosome 17 centromere (CEN 17) for breast carcinomas and an assay performance comparison to manual dual color HER2 fluorescence in situ hybridization (FISH).

Authors:  Hiroaki Nitta; Beatrice Hauss-Wegrzyniak; Megan Lehrkamp; Adrian E Murillo; Fabien Gaire; Michael Farrell; Eric Walk; Frederique Penault-Llorca; Masafumi Kurosumi; Manfred Dietel; Lin Wang; Margaret Loftus; James Pettay; Raymond R Tubbs; Thomas M Grogan
Journal:  Diagn Pathol       Date:  2008-10-22       Impact factor: 2.644

9.  Automated recognition of cell phenotypes in histology images based on membrane- and nuclei-targeting biomarkers.

Authors:  Bilge Karaçali; Alexandra P Vamvakidou; Aydin Tözeren
Journal:  BMC Med Imaging       Date:  2007-09-06       Impact factor: 1.930

10.  Observer performance in the use of digital and optical microscopy for the interpretation of tissue-based biomarkers.

Authors:  Marios A Gavrielides; Catherine Conway; Neil O'Flaherty; Brandon D Gallas; Stephen M Hewitt
Journal:  Anal Cell Pathol (Amst)       Date:  2014-11-11       Impact factor: 2.916

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