Gedda Lars, Björkelund Hanna, Lebel Lena, Asplund Anna, Dubois Louise, Wester Kenneth, Penagos Nelly, Malmqvist Magnus, Andersson Karl
*Department of Radiology, Oncology, and Radiation Sciences; Biomedical Radiation Sciences ∥Department of Immunology, Genetics and Pathology, Uppsala University ‡Ridgeview Instruments AB §Ridgeview Diagnostics AB ¶Department of Pathology, Uppsala University Hospital, Uppsala †Swedish Radiation Safety Authority, Stockholm, Sweden.
Appl Immunohistochem Mol Morphol. 2013 Dec;21(6):497-505. doi: 10.1097/PAI.0b013e318281162d.
Immunohistochemical study (IHC) is a critical tool in the clinical diagnosis of breast cancer. One common assessment is the expression level of the HER2 receptor in breast cancer tissue samples with the aim of stratifying patients for applicability of the therapeutic antibody Herceptin. In this study, we aimed to investigate whether a novel assay, real-time IHC combined with Interaction Map analysis, offers the possibility of objective assessment of HER2 expression. Interaction Map presents real-time interaction data as a collection of peaks on a surface, and it was performed on 20 patient tissue samples previously scored for HER2 expression. The result shows that the relative weight of the peaks in the maps contains novel information that could discriminate between high and low HER2 expression in an operator-independent manner (P<0.001). We conclude that the real-time IHC assay has a promising potential to complement conventional IHC and may improve the precision in the future clinical diagnostics of breast cancer.
免疫组织化学研究(IHC)是乳腺癌临床诊断中的关键工具。一种常见的评估是乳腺癌组织样本中HER2受体的表达水平,目的是为治疗性抗体赫赛汀的适用性对患者进行分层。在本研究中,我们旨在调查一种新的检测方法,即实时IHC结合相互作用图谱分析,是否能够客观评估HER2表达。相互作用图谱将实时相互作用数据呈现为表面上的一系列峰,并且对之前已对HER2表达进行评分的20例患者组织样本进行了该分析。结果表明,图谱中峰的相对权重包含了新的信息,这些信息能够以独立于操作者的方式区分HER2的高表达和低表达(P<0.001)。我们得出结论,实时IHC检测方法有潜力补充传统IHC,并可能在未来提高乳腺癌临床诊断的准确性。