Literature DB >> 17122642

Automation of manual components and image quantification of direct dual label fluorescence in situ hybridization (FISH) for HER2 gene amplification: A feasibility study.

Raymond R Tubbs1, James D Pettay, Eric Swain, Patrick C Roche, William Powell, David G Hicks, Thomas Grogan.   

Abstract

Determination of HER2 status by fluorescence in situ hybridization (FISH) in breast carcinoma correlates well with response to targeted therapy and prognosis. However, manual time consuming methods and quantification aspects of the procedure may be challenging for some laboratories. We examined the feasibility of automating these components of the FISH assay using a tissue microarray (TMA-118 clinically annotated cases) and a series of 41 whole sections. An in situ hybridization automated staining workstation was used to automate a programmed overnight start, on line baking, deparaffinization, cell conditioning, protease digestion, and prehybridization buffer washing. Dual label probe/target codenaturation/hybridization and stringency washing were done off line. The HER2 and CEP17 spot counts were quantified, and the HER2/CEP17 ratio calculated, via an imaging workstation. Results were benchmarked against manual counts for whole sections, and bright field in situ hybridization [silver in situ hybridization (SISH)] for the TMA. Automated FISH results using whole sections correlated well with manual results: HER2/CEP17 ratio correlation coefficient r = 0.9154, r = 0.8380, P < 0.0001. Correlation between automated and manual TMA FISH results was also excellent, and disease-free survival was significantly shorter (P < 0.001) for the HER2 amplified cases. Automation of the laborious manual prehybridization and image quantification components of FISH using directly labeled probes is feasible. Operational gains and enhanced consistency are inherent in this automated approach to HER2 clinical FISH testing.

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Year:  2006        PMID: 17122642     DOI: 10.1097/01.pai.0000213101.26193.f1

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


  4 in total

1.  Testing for HER2 in Breast Cancer: A Continuing Evolution.

Authors:  Sejal Shah; Beiyun Chen
Journal:  Patholog Res Int       Date:  2010-12-06

2.  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

3.  Validation of a new classifier for the automated analysis of the human epidermal growth factor receptor 2 (HER2) gene amplification in breast cancer specimens.

Authors:  Daniela Furrer; Simon Jacob; Chantal Caron; François Sanschagrin; Louise Provencher; Caroline Diorio
Journal:  Diagn Pathol       Date:  2013-02-04       Impact factor: 2.644

4.  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

  4 in total

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