| Abstract [eng] |
The 12th International St Gallen conference on breast cancer (2011) proposed patient categorization for systemic therapy, based on intrinsic breast cancer subtypes, defined by imunohistochemistry (IHC) test results. Since this classification is based on semi-quantitative expression of IHC biomarker expression, an issue of defining and applying cutoff values remains. Essential improvement in the IHC testing has become possible with digital image analysis tools enabling quantitative evaluation of the IHC data. This study explores data obtained by digital image analysis methods applied to evaluate a comprehensive biomarker dataset (p53, AR, p16, BCL2, SATB1, HIF1) along with well established (ER, PR, HER2, Ki67) biomarkers. Also, an extensive set of genetic and epigenetic biomarkers has been tested. For the first time, the dataset of 10 IHC biomarkers, evaluated by digital analysis was explored by the means of factor analysis to establish the intrinsic factors of biological variation and informative value of IHC biomarkers and their combinatiions. The results also provided insights into the significance and combinatorial effects of the established and relatively new biomarkers (p16, SATB1, HIF1, Ki67/BCL2, etc.). |
