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.

Certain recurrent cytogenetic abnormalities are diagnostic of a specific neoplasm and may portend prognosis. As conventional cytogenetics may not reveal a neoplastic clone, and unfixed material for fluorescence in situ hybridization may be unavailable, performing fluorescence in situ hybridization on fixed tissues is diagnostically and prognostically valuable. Manual interpretation of fluorescence in situ hybridization signals may be difficult on paraffin-embedded tissue sections due to truncated nuclei. Therefore, we investigated the use of an automated image acquisition and analysis system (MetaSystems) for interpretation of fluorescence in situ hybridization signals in tissue sections from dual fusion translocation probes. Three probe sets were analyzed on archival specimens with a confirmed diagnosis of mantle cell lymphoma, follicular lymphoma or Burkitt lymphoma. 100% of mantle cell lymphomas (7/7) were positive for t(11;14), 91% of follicular lymphomas (10/11) for t(14;18) and 100% of Burkitt lymphomas (9/9) for t(8;14). Successful hybridization was achieved using various tissue fixatives and fluorescence in situ hybridization interpretation was blinded with respect to the underlying diagnosis. Based on these results, automated analysis of fluorescence in situ hybridization on fixed tissues is accurate and valuable in the evaluation of B-cell lymphoma, and may provide pertinent diagnostic and prognostic information.