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The In ovo CAM-assay as a Xenograft Model for Sarcoma
Published on: July 17, 2013
Visual Counting and Automated Image-analytic Assessment of Ki-67 and their Prognostic Value in Synovial Sarcoma
Riikka E Laurila1, Tom O Böhling2, Carl P Blomqvist3,4
1Department of Pathology, HUSLAB and University of Helsinki, Helsinki, Finland.
Background:
Ki-67 is a widely used proliferation marker reflecting prognosis in various tumors. However, visual assessment and scoring of Ki-67 suffers from marked inter-observer and intra-observer variability. We aimed to assess the concordance of manual counting and automated image-analytic scoring methods for Ki-67 in synovial sarcoma.
Patients And Methods:
Tissue microarrays from 34 patients with synovial sarcoma were immunostained for Ki-67 and scored both visually and with 3DHistech QuantCenter.
Results:
The automated assessment of Ki-67 expression was in good agreement with the visually counted Ki-67 (r =0.96, p<0.001). In a Cox regression model automated [hazard ratio (HR)=1.047, p=0.024], but not visual (HR=1.063, p=0.053) assessment method associated high Ki-67 scores with worse overall survival.
Conclusion:
The automated Ki-67 assessment method appears to be comparable to the visual method in synovial sarcoma and had a significant association to overall survival.
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