Quantification of protein expression in cells and cellular subcompartments on immunohistochemical sections using a computer supported image analysis system.

作者: Falko Fend , Holger Moch , Sven Perner , Nicolas Wernert , Niels J Rupp

DOI: 10.14670/HH-28.605

关键词:

摘要: Quantification of protein expression based on immunohistochemistry (IHC) is an important step for translational research and clinical routine. Several manual ('eyeballing') scoring systems are used in order to semi-quantify chromogenic intensities distribution patterns. However, time-consuming subject significant intra- interobserver variability. The aim our study was explore, whether new image analysis software proves be sufficient as alternative tool quantify expression. For IHC experiments, one nucleus specific marker (i.e., ERG antibody), cytoplasmic SLC45A3 expressed both compartments TMPRSS2 antibody) were chosen. Stainings applied TMAs, containing tumor material 630 prostate cancer patients. A pathologist visually quantified all stainings a blinded manner, applying four-step system. digital quantification, (Tissue Studio v.2.1, Definiens AG, Munich, Germany) obtain continuous spectrum average staining intensity. each the three antibodies we found strong correlation score software. Spearman's rank coefficient 0.94, 0.92, 0.90 ERG, SLC45A3, TMPRSS2, respectively (p⟨0.01). Our data suggest that Tissue powerful quantification stainings. Further, since precise reproducible, computer supported might help overcome variability increase objectivity assessment.

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