[Auto-analysis of immunohistochemical findings for breast cancer using specified software and virtual microscopy]

Currently, the therapeutic strategy for a breast cancer patient is designed according to their histopathological, immunohistochemical and molecular findings. These findings are obtained through the collected efforts of many individual pathologists or medical technologists (MTs) and are, thus, limited by intra-observer error and potentially subjective decision making. Twenty five breast cancer specimens collected between November 2009 and February 2010 were examined for immunohistochemical expressions of estrogen receptor (ER), progesterone receptor (PgR), HER2, Ki-67, Topoisomerase II alpha (Topo IIalpha). Fifty one cancer specimens collected November 2009 and June 2010 were examined for human epidermal growth factor 2 (HER2). Immunohistochemical staining was performed using auto-stainers (Ventana) and the results were stored digitally after examination by virtual microscopy (Hamamatsu Photonics). Data analysis was performed with the Genie/Aperio software package on a desk-top computer. For all the antibodies used expect for HER2, concordant results were obtained in 100% of 24 ER positive cases. Ki-67 index (r=0.96) and Topo IIalpha index (r=0.95) also showed a significant correlation (p<0.001). For HER2, all four specimens with Hercep-score 2 by ocular observation but auto-analysis score 1 revealed no HER2 gene amplification. Well-organized auto-analysis is more likely to result in an objective observation and to provide a means by which to standardize the methods for immunohistochemical detection of breast cancer.