96. Jahrestagung der Deutschen Gesellschaft für Pathologie e. V ...
96. Jahrestagung der Deutschen Gesellschaft für Pathologie e. V ...
96. Jahrestagung der Deutschen Gesellschaft für Pathologie e. V ...
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Abstracts<br />
SO-024<br />
Evaluation of tumor proliferation and hormone receptor status in<br />
breast cancer. Comparison of quantitative real time PCR,<br />
image analysis of IHC, and visual scoring<br />
H .-P . Sinn 1 , M . Keller 1 , N . Waldburger 2 , A . Schneeweiss 3 , R . Wirtz 4<br />
1 University of Heidelberg, Institute for Pathology, Heidelberg, 2 University<br />
of Heidelberg, Dept . of Pathology, Heidelberg, 3 University of Heidelberg,<br />
National Center for Tumor Diseases, Heidelberg, 4 St . Elisabeth Krankenhaus,<br />
Dept . of Pathology, Köln<br />
Aims. The exact determination of hormone receptors, HER2 and proliferation<br />
is of outmost importance for clinical decision making in breast<br />
cancer. According to the 12th St Gallen Guidelines systemic therapy recommendations<br />
follow the subtypes classification originally defined by<br />
genetic array testing. These molecular subtypes can be approximated by<br />
clinicopathological parameters combining immunohistochemistry assessments<br />
of ER, PR, HER2 and Ki67.<br />
Methods. Matched fresh and fixed pretreatment biopsy samples were<br />
available from 90 patients participating in neoadjuvant clinical trial. RTqPCR<br />
data were available after extracting RNA using Qiagen kits. RNA<br />
was isolated from fixed tissue samples by using coated magnetic particles.<br />
Multiplex RT-qPCR was performed by TaqMan® based primer probe<br />
sets for ESR1, PGR, Ki67, as well as CALM2 as reference gene. Single Step<br />
RT-qPCR was performed by using Invitrogen reagents on a Stratagene<br />
MX3005p. RNA results were then reported as 40-CT values, which correlate<br />
proportionally to the mRNA expression level of the target gene. All<br />
cases were also used for quantitative immunohistology of nuclear antigens<br />
(ER, PR, Ki67) by automated image analysis on a virtual microscopy<br />
system (Aperio Technologies, Vista, CA, USA).<br />
Results. We observed a significant correlation of mRNA data from independent,<br />
matched fresh and fixed biopsy samples by using RT-qPCR<br />
(ER1 r=0,91; PR r=0,79, Ki67 r=0,72). When comparing automated image<br />
analysis results with conventional histological evaluation of IHC markers,<br />
there were only 3 cases misclassified for ER positivity or negativity,<br />
and 4 cases misclassified for PR positivity or negativity. Correlation of<br />
RT-qPCR data for ER and PR with quantitative immunohistology was<br />
highly significant (p