According to the Centers for Disease Control and Prevention, breast cancer is still one of the most common cancer in women, and top one or two in cancer mortality rates for all races of women. Novel drug treatments are needed to develop new treatments and clinical validation with IHC are common in research. Some common methods of validations are using Tissue MicroArrays (TMAs). In this study 5 TMAs containing approximately 100 cores each were stained with Estrogen Receptor (ER) and Progesterone Receptor (PR). Paraffin-embedded tissue blocks were obtained from the Indiana University Heath Pathology Laboratory under IRB approved protocols. Immunostainings with ER and PR antibodies (DAKO) were preformed using the DAKO-flex platform system at the IU Health Pathology Laboratory. The slides were digitally imaged using the Aperio Digital Imaging System. The SVS digital images were quantified using two different image analysis systems. One imaging system was the Aperio TMALab software, the other was Q Path image analysis software. Both systems were compared not only on the basis of performance, but among other parameters such as user friendliness and the ability to use a SVS image file type. When comparing the systems, the algorithm of Q Path was altered to closely match the algorithm of the standard Aperio positive pixel algorithm. Two measurements of antibody quantification were compared, one being positive pixel percentage, the other being an H Score. A regression line was used to show correlation between systems. Standard deviations were used to compare data against a standard pathology hand count of 0, 1, 2, and 3. The results show a strong correlation (R-squared value at or greater than 0.85) between the two imaging systems for both the positive pixel algorithm and H Score. The tightness may be due to consistent and rigorously explored in the past 20 years with both of these nuclear antibodies. Further studies should help distinguish any other possible errors using novel biomarkers and also delineate any discrepancies between a nuclear expressions against both a cytoplasmic and/or cell membranous expressions. In conclusion, Aperio Imaging analysis systems and Q path image analysis systems were in strong correlation, and therefore interchangeable in scientific research.
Citation Format: Max Henry Jacobsen, Constance Temm, George Sandusky. Comparison of Q Path and Aperio Image Analysis System for quantification of ER and PR by IHC in breast carcinoma TMAs [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2292.