Yim Kwangil, Park Hong Sik, Kim Dong Min, Lee Youn Soo, Lee Ahwon
Department of Hospital Pathology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea.
Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yonsei Med J. 2019 Feb;60(2):158-162. doi: 10.3349/ymj.2019.60.2.158.
Trastuzumab is an effective treatment for human epidermal growth factor receptor 2 (HER2)-amplified breast cancers. We sought to develop a simple protocol for HER2 image analysis of breast cancer specimens.
In a preliminary test, we found that at least 1000 tumor cells need to be examined in the most strongly stained areas. Next, we evaluated the clinical usefulness of this established protocol of image analysis in 555 breast cancer patients. Results of the HER2 immunohistochemical (IHC) staining were compared between manual scoring and image analysis.
The HER2 IHC results obtained by the image analysis method correlated well with those obtained by the manual scoring method (Cohen's kappa=0.830). Using the HER2 silver hybridization (SISH) results as a gold standard, sensitivity values were 72.1% for manual scoring and 74.0% for image analysis; specificity values were 96.2% for manual scoring and 94.7% for image analysis; and accuracy values were 91.7% for manual scoring and 90.8% for image analysis. McNemar's test was applied to the results, and there were no statistically significant differences in sensitivity and specificity between the positive (=0.688) and negative (=0.118) SISH groups.
HER2 image analysis results were similar to those obtained via the manual scoring method, indicating that the use of image analysis can reduce assessment time and effort. We suggest that image analysis-based evaluation of 1000 tumor cells in the most strongly IHC-stained area, regardless of stroma content, is sufficient for determining HER2 expression levels in breast cancer specimens.
曲妥珠单抗是治疗人表皮生长因子受体2(HER2)扩增型乳腺癌的有效药物。我们试图开发一种简单的方案用于乳腺癌标本的HER2图像分析。
在初步试验中,我们发现需要在染色最强的区域检查至少1000个肿瘤细胞。接下来,我们评估了这一既定图像分析方案在555例乳腺癌患者中的临床实用性。将HER2免疫组织化学(IHC)染色结果在手工评分和图像分析之间进行比较。
图像分析方法获得的HER2 IHC结果与手工评分方法获得的结果相关性良好(科恩kappa系数=0.830)。以HER2银染原位杂交(SISH)结果作为金标准,手工评分的灵敏度值为72.1%,图像分析的灵敏度值为74.0%;手工评分的特异度值为96.2%,图像分析的特异度值为94.7%;手工评分的准确度值为91.7%,图像分析的准确度值为90.8%。对结果应用McNemar检验,在SISH阳性(=0.688)和阴性(=0.118)组之间,灵敏度和特异度无统计学显著差异。
HER2图像分析结果与手工评分方法获得的结果相似,表明使用图像分析可以减少评估时间和工作量。我们建议,无论间质含量如何,在免疫组织化学染色最强的区域对1000个肿瘤细胞进行基于图像分析的评估,足以确定乳腺癌标本中的HER2表达水平。