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 />
Methods. Of 261 NSCLC patients tissue multi arrays (TMA) with a<br />
core diameter of 2 mm were composed which served as a simulation<br />
model for endobronchial biopsies. The TMAs were stained with TTF1<br />
(8G7G3/1) and Vimentin (VIM3B4) visualized by amino-ethylcarbazol<br />
first. Second staining was performed with p63 (4A4) and a neuroendocrine<br />
(NE) cocktail (CD56 (NCL-L-CD56-1B6), synaptophysin (SPII),<br />
chromogranin (DAK-A3)) visualized by diaminobenzidine. For histological<br />
classification hematoxilin-eosin (HE) stained TMA-slides were<br />
evaluated. Independently from HE-classification immunohistochemical<br />
(IHC) classification was performed by a stepwise decision tree: 1) morphologically<br />
clear adenoid or squamous growth patterns: LAC or SCC; 2)<br />
TTF1 positive: LAC; 3) TTF1 negative and p63 positive: SCC; 4) TTF1 and<br />
p63 negative: large cell carcinoma; 5) TTF1 negative, p63 negative, NE<br />
positive: LCNEC. Statistical analyses included kappa-values and Kaplan<br />
Meier survival curves.<br />
Results. Evaluation of specific staining of the different antibodies was<br />
easy to perform and compared to a set of carcinomas which were stained<br />
with the multi-IHC protocol and each antibody separate did not show<br />
any different staining patterns. Analyzing the inter-core variability, IHC<br />
classification was superior to HE-diagnosis. Furthermore, a better separation<br />
of the Kaplan-Meier survival curves could be achieved by IHC<br />
classification as compared to HE classification alone.<br />
Conclusions. Multi-immune assays for classification of NSCLC are feasible<br />
and deliver more accurate results than HE-diagnosis alone. IHC<br />
classification shows higher intra-tumor homogeneity. As different entities<br />
are most probable to show different biological behavior IHC classification<br />
delivers the best separation of survival curves and should thus be<br />
applied to all lung cancer specimens for accurate pathological classification<br />
on small biopsies.<br />
DO-028<br />
The novel IASLC/ATS/ERS classification is a stage-independent<br />
predictor of survival and correlates with the response to adjuvant<br />
therapies<br />
A . Warth1 , T . Muley2 , M . Meister3 , A . Stenzinger1 , J . Cortis1 , M . Thomas4 ,<br />
P . Schirmacher1 , P .A . Schnabel1 , J . Budczies5 , H . Hoffmann6 , W . Weichert1 1 2 University Hospital Heidelberg, Institute for Pathology, Heidelberg, Thoraxklinik<br />
Heidelberg, Translational Research Unit, 3Heidelberg University<br />
Hospital, Translational Research Unit, 4Thoraxklinik Heidelberg, Oncology,<br />
5 6 Charité University Hospital Berlin, Institute for Pathology, Thoraxklinik<br />
Heidelberg, Thoracic Surgery<br />
Aims. Our aim was to analyze and to validate the prognostic impact of<br />
the novel IASLC/ATS/ERS proposal for an architectural classification of<br />
invasive pulmonary adenocarcinomas (ADC) across all tumor stages.<br />
Methods. The architectural pattern of a large cohort of 500 resected ADC<br />
(stages I–IV) was retrospectively analyzed in 5% increments and classified<br />
according to their predominant architecture (lepidic, acinar, solid,<br />
papillary, micropapillary), as proposed by the IASLC/ATS/ERS. Subsequently,<br />
histomorphological data were correlated with clinical data, adjuvant<br />
therapy and patient outcome.<br />
Results. Overall survival differed significantly between lepidic<br />
(78.5 months), acinar (67.3 months), solid (58.1 months), papillary<br />
(48.9 months), and micropapillary (44.9 months) predominant ADC<br />
(p=0.007). When patterns were lumped into groups this resulted in even<br />
more pronounced differences in survival (pattern group 1: 78.5 months,<br />
group 2: 67.3 months, group 3: 57.2 months, p=0.001). Comparable differences<br />
were observed for overall, disease specific and disease free survival.<br />
Pattern and pattern groups were stage- and therapy-independent<br />
prognosticators for all three survival parameters. Survival differences<br />
according to patterns were influenced by adjuvant radiochemotherapy,<br />
especially solid predominant tumors had an improved prognosis un<strong>der</strong><br />
adjuvant radiotherapy. The predominant pattern was tightly linked to<br />
the risk of developing nodal metastases (p