Technology Development Headquarters, Advanced Core Technology Center, Konica Minolta, Inc., Hachioji, Japan.
Department of Basic Pathology, National Defense Medical College, Saitama, Japan.
PLoS One. 2024 May 15;19(5):e0303614. doi: 10.1371/journal.pone.0303614. eCollection 2024.
HER2 expression in breast cancer is evaluated to select patients for anti-HER2 therapy. With the advent of newly approved HER2-targeted drugs for low HER2 expression breast cancer, more solid evidence on the whole spectrum of HER2 expression is needed. In this study, we quantitatively assessed HER2 expression from the whole core by combining high-intensity phosphor-integrated dot (PID) immunostaining and whole slide imaging (WSI) analysis. Two types of staining were performed using a 170-core tissue microarray of invasive breast cancer. First, HER2 was stained by immunohistochemistry (IHC), and IHC scores were determined by two practicing pathologists according to the ASCO/CAP HER2 guideline. Second, HER2 was stained with PID, and tentative PID scores were determined by quantitative analysis. The results show that PID can numerically classify HER2 expression status into scores 3+, 2+, 1+, and 0. The HER2 value quantified by PID strongly correlated with the 3, 3'-diaminobenzidine (DAB) IHC score determined by pathologists (R2 = 0.93). PID IHC score 1+ cases included both DAB IHC score 1+ and 0 cases, and low HER2 expression cases appeared to be often evaluated as DAB IHC score 0. Therefore, digital image analysis by PID and WSI can help stratify HER2 IHC. It may also help classify low HER2 expression.
HER2 表达在乳腺癌中被评估用于选择接受抗 HER2 治疗的患者。随着新批准的针对低 HER2 表达乳腺癌的 HER2 靶向药物的出现,需要更多关于整个 HER2 表达谱的可靠证据。在这项研究中,我们通过结合高强度磷整合点(PID)免疫染色和全切片成像(WSI)分析,从整个核心定量评估 HER2 表达。使用 170 个浸润性乳腺癌组织微阵列进行了两种类型的染色。首先,通过免疫组织化学(IHC)染色 HER2,两位有经验的病理学家根据 ASCO/CAP HER2 指南确定 IHC 评分。其次,用 PID 染色 HER2,并通过定量分析确定暂定 PID 评分。结果表明,PID 可以将 HER2 表达状态数值分类为 3+、2+、1+和 0 分。PID 定量的 HER2 值与病理学家确定的 3,3'-二氨基联苯胺(DAB)IHC 评分强烈相关(R2=0.93)。PID IHC 评分 1+病例包括 DAB IHC 评分 1+和 0 病例,低 HER2 表达病例通常被评估为 DAB IHC 评分 0。因此,PID 和 WSI 的数字图像分析有助于分层 HER2 IHC。它也可能有助于分类低 HER2 表达。