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96. Jahrestagung der Deutschen Gesellschaft für Pathologie e. V ...

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Abstracts<br />

SO-031<br />

Decentral gene expression analysis to predict outcome of ER+/<br />

Her2− breast cancer – results of a proficiency testing program for<br />

the EndoPredict assay<br />

C . Denkert 1 , R . Kronenwett 2 , W . Schlake 3 , K . Bohmann 2 , R . Penzel 4 ,<br />

K .E . Weber 2 , H . Höfler 5 , U . Lehmann 6 , P . Schirmacher 4 , K . Specht 5 , M . Rudas 7 ,<br />

H . Kreipe 6 , P . Schraml 8 , G . Schlake 3 , Z . Bago-Horvath 7 , F . Tiecke 3 , Z . Varga 8 ,<br />

H . Moch 8 , M . Schmidt 9 , J . Prinzler 1 , D . Kerjaschki 7 , B .V . Sinn 1 , B .M . Müller 1 ,<br />

M . Filipits 10 , C . Petry 2 , M . Dietel 1<br />

1 Charité University Hospital, Institute of Pathology, Berlin, 2 Sividon Dignostics<br />

GmbH, Köln, 3 Institute of Pathology, Gelsenkirchen, 4 University of Heidelberg,<br />

Institute of Pathology, Heidelberg, 5 Technical University Munich,<br />

Institute of Pathology and Pathological Anatomy, München, 6 Medizinische<br />

Hochschule Hannover, Institute of Pathology, Hannover, 7 Medical University<br />

of Vienna, Institute of Pathology, Austria, 8 University Hospital Zurich,<br />

Institute of Surgical Pathology, Zürich, Switzerland, 9 University of Mainz,<br />

Department of Gynecology and Obstetrics, 10 Medical University of Vienna,<br />

Institute of Cancer Research, Austria<br />

Aims. Gene expression profiles provide important information about the<br />

biology of breast tumors and can be used to develop predictive tests. However,<br />

the implementation of quantitative RNA-based testing in routine<br />

molecular pathology has not been accomplished, so far. The EndoPredict<br />

assay has recently been described as a quantitative RT-PCR-based multigene<br />

expression test to identify a subgroup of hormone-receptor positive<br />

tumors that have an excellent prognosis with endocrine therapy only. To<br />

transfer this test from bench to bedside it is essential to evaluate the testperformance<br />

in a multicenter setting in different molecular pathology<br />

laboratories. In this study, we have evaluated the EndoPredict assay in<br />

seven different molecular pathology laboratories in Germany, Austria<br />

and Switzerland.<br />

Methods. A set of ten formalin-fixed paraffin-embedded tumors from<br />

patients with breast cancer was tested in the different labs. The Endo-<br />

Predict score (EP score) ranging from 0 to 15 was calculated and patients<br />

were classified into low or high risk for the occurrence of distant recurrence<br />

using a validated cut-off. The variance and accuracy of the Endo-<br />

Predict assays were determined using predefined reference values.<br />

Results. Extraction of a sufficient amount of RNA and generation of a<br />

valid EP score was possible for all 70 study samples (100%). The EP scores<br />

measured by the individual participants showed an excellent correlation<br />

with the reference values, respectively, as reflected by Pearson correlation<br />

coefficients ranging from 0.987 to 0.999. The Pearson correlation coefficient<br />

of all values compared to the reference value was 0.994. All laboratories<br />

determined EP scores for all samples differing not more than 1.0<br />

score units from the pre-defined references. All samples were assigned<br />

to the correct EP risk group, resulting in a sensitivity and specificity of<br />

100%, a concordance of 100%, and a kappa of 1.0.<br />

Conclusions. Taken together, the EndoPredict test could be successfully<br />

implemented in all seven participating laboratories and is feasible for<br />

reliable decentralized assessment of prognosis in luminal breast cancer.<br />

70 | Der Pathologe · Supplement 1 · 2012<br />

SO-032<br />

Cyclin D1 gene amplification is rarely heterogeneous in breast<br />

cancer<br />

E . Burandt1 , M . Grünert1 , A . Lebeau1 , M . Choschzick1 , V . Müller2 , C . Bokemeyer3<br />

, R . Simon1 , G . Sauter1 , F . Jänicke2 , W . Wilczak1 1University Medical Center Hamburg-Eppendorf, Department of Pathology,<br />

Hamburg, 2University Medical Center Hamburg-Eppendorf, Department of<br />

Gynecology, Hamburg, 3University Medical Center Hamburg-Eppendorf,<br />

Department of Internal Medicine II, Oncology Center, Hamburg<br />

Aims. Amplification of Cyclin D1 (CCND1) occurs in about 10–20% of<br />

breast cancers and has been suggested to predict resistance to anti-hormonal<br />

therapy. As the diagnostic accuracy of predictive biomarkers can<br />

be substantially limited by regional expression differences within tumors,<br />

heterogeneity of CCND1 amplification was assessed in this study.<br />

To assess heterogeneity, a novel tissue microarray based analysis platform<br />

was developed.<br />

Methods. To comprehensively asses the three-dimensional molecular<br />

composition of breast cancers, a “heterogeneity TMA” was constructed<br />

containing 8 different tissue cylin<strong>der</strong>s from as many different cancer<br />

containing tumor blocks as possible (at least 4) from 147 primary breast<br />

cancers. Additional tissue samples were taken from 1–4 corresponding<br />

nodal metastases from 35 of these patients. CCND1 amplification was<br />

assessed by dual labeling fluorescence in situ hybridization (FISH).<br />

Results. The analysis revealed amplification in 28 of 133 (21.05%) patients<br />

with informative FISH results. CCND1 amplification was significantly<br />

associated with high tumor grade (p=0.042). The preference of ER positive<br />

tumors (p=0.061) was not statistically significant. No association was<br />

found between CCND1 amplification and tumor type (p=0.307), stage<br />

(p=0.540) and PR expression (p=0.871). A discordant Cyclin D1 amplification<br />

status was initially detected in 6 out of 28 (21.43%) amplified tumors<br />

by TMA analysis. Re-testing on large sections confirmed CCND1<br />

heterogeneity in only 3 of them. Discordant results of the other cases<br />

were due to variable interpretation of the TMA cores within the bor<strong>der</strong>line<br />

range (CCND1/centromer 11 ratios between 1.7 and 2.3). Overall<br />

CCND1 genetic heterogeneity was observed in 3 out of 133 informative<br />

tumors (2.3%). No discrepancies were detected between 22 primary tumors<br />

and their matched lymph node metastases.<br />

Conclusions. The high degree of homogeneity seen for CCND1 amplification<br />

suggests that this alteration represents an early event in breast<br />

cancer development in a small subset of breast cancers. Thus, CCND1<br />

status determined in a core biopsy is highly representative of the entire<br />

tumor and appropriate for predicting treatment outcome if applicable.<br />

SO-033<br />

Prognostic relevance of AIB1 (NCoA3) amplification and overexpression<br />

in breast cancer<br />

E . Burandt1 , G . Jens1 , F . Holst1 , F . Jänicke2 , V . Müller2 , C . Bokemeyer3 , W . Wilczak1<br />

, L . Terracciano 4 , R . Simon1 , G . Sauter1 , A . Lebeau1 1University Medical Center Hamburg-Eppendorf, Department of Pathology,<br />

Hamburg, 2University Medical Center Hamburg-Eppendorf, Department of<br />

Gynecology, Hamburg, 3University Medical Center Hamburg-Eppendorf,<br />

Department of Internal Medicine II, Oncology Center, Hamburg, 4University of Basel, Department of Pathology, Basel, Switzerland<br />

Aims. AIB1 is an estrogen receptor co-activator, know to be amplified in<br />

a fraction of breast cancers. Aim of this study was to test the potential<br />

clinical significance of AIB1 expression levels and its relationship with<br />

ER alpha expression, tumor phenotype and prognosis.<br />

Methods. To analyze AIB1 expression and amplification immunohistochemistry<br />

and Fluorescence in situ hybridization (FISH) was performed<br />

on a pre-existing breast cancer tissue microarray (TMA) containing tumor<br />

samples of 2197 breast cancer patients.<br />

Results. AIB1 expression was found in 60% of our tumors including 29%<br />

weak, 7% mo<strong>der</strong>ate and 24% strong expressors. AIB1 expression was sig-

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