Pathology Department, National Institute of Tumors of Naples Fondazione G Pascale, Naples, Italy.
Expert Rev Anticancer Ther. 2011 Jun;11(6):859-69. doi: 10.1586/era.11.65.
Tissue microarray (TMA) technologies have been developed over the last years, mainly to identify biomarkers useful for the correct identification and characterization of tumors. Moreover, TMA has been implemented in retrospective studies in order to identify predictive biomarkers of response to a given therapy and/or to find potential new targets for biological therapy. We analyzed the fields of application of TMA technology and the design of TMA varying according to the objectives to be studied. In this article, the reader will learn how to design TMAs in order to cover the objectives of clinical trials based upon the use of target-based agents. The main limits and advantages of TMA and the results achieved in cancer diagnosis will be also described. Tissue microarray technology should be systematically applied to define critical markers, in retrospective studies and in the screening of most human tumors in order to find new possible molecular targets and to molecularly define the diagnosis of the neoplastic diseases. TMAs have substantially improved the field of translational studies, even in the design and follow-up of studies based upon the use of target-based agents in cancer therapy.
组织微阵列 (TMA) 技术在过去几年中得到了发展,主要是为了确定对肿瘤的正确识别和特征具有有用性的生物标志物。此外,TMA 已在回顾性研究中实施,以确定对特定治疗的反应的预测生物标志物和/或寻找生物治疗的潜在新靶标。我们分析了 TMA 技术的应用领域和根据研究目标而变化的 TMA 设计。在本文中,读者将了解如何设计 TMA,以便基于靶向药物的使用来覆盖临床试验的目标。还将描述 TMA 的主要限制和优势以及在癌症诊断中取得的结果。组织微阵列技术应系统地应用于定义临界标志物,无论是在回顾性研究中还是在对大多数人类肿瘤的筛选中,以寻找新的可能的分子靶标,并对肿瘤性疾病进行分子定义。TMA 大大改善了转化研究领域,即使在基于靶向药物的癌症治疗中设计和随访研究中也是如此。