Department of Pathology, University Medical Center Utrecht, The Netherlands.
Crit Rev Oncol Hematol. 2011 Dec;80(3):380-92. doi: 10.1016/j.critrevonc.2010.12.005. Epub 2011 Jan 26.
Molecular techniques play an increasingly important role in breast cancer detection and help in the prediction of prognosis and treatment response. HER-2/neu predicts the sensitivity of breast tumors to trastuzumab and lapatinib. Presently there are several ways to assess HER2 status at the protein level (e.g. ELISA), at the RNA level (RT-PCR, microarray) and at the DNA level (fluorescence in situ hybridization, chromogenic in situ hybridization (ISH), silver in situ hybridization or multiplex ligation-dependent probe amplification).
This paper provides an overview of new developments in HER2 testing.
Although these techniques correlate well in comparative studies, discrepancies remain. Each technique has its own (dis)advantages and thus there is no real gold standard. Not surprisingly, there is no consensus at present on which of the protein- or gene-based techniques is superior, on the use of mono- or duo-probe ISH systems, nor on the use of manual or fully-automated staining- and scoring systems.
Until large clinical trials clearly point out one strategy as the best predictive one for trastuzumab response, the choice for a testing strategy will probably be based on local preferences which consider both practical and economic issues. Standardization, proper internal and external quality control assessment, laboratory accreditation and automation of tissue processing (autostainers) and interpretation methods (image analysis) will play an increasingly important role in HER2 testing.
分子技术在乳腺癌检测中发挥着越来越重要的作用,有助于预测预后和治疗反应。HER-2/neu 预测乳腺癌对曲妥珠单抗和拉帕替尼的敏感性。目前有几种方法可以评估 HER2 蛋白水平(如 ELISA)、RNA 水平(RT-PCR、微阵列)和 DNA 水平(荧光原位杂交、显色原位杂交(ISH)、银原位杂交或多重连接依赖性探针扩增)的状态。
本文概述了 HER2 检测的新进展。
尽管这些技术在比较研究中相关性良好,但仍存在差异。每种技术都有其自身的(优缺点),因此没有真正的金标准。毫不奇怪,目前对于哪种蛋白或基因技术更优越、使用单探针或双探针 ISH 系统、使用手动或全自动染色和评分系统,尚无共识。
在大型临床试验明确指出一种策略是曲妥珠单抗反应的最佳预测策略之前,检测策略的选择可能基于局部偏好,同时考虑实际和经济问题。标准化、适当的内部和外部质量控制评估、实验室认证以及组织处理(自动染色机)和解释方法(图像分析)的自动化将在 HER2 检测中发挥越来越重要的作用。