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A review of the applications of tissue microarray technology in understanding the molecular features of endometrial carcinoma

机译:组织芯片技术在理解子宫内膜癌分子特征中的应用综述

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摘要

OBJECTIVE: To review the literature regarding the use of tissue microarray (TMA) technology in understanding the biology, diagnosis and prognosis of endometrial carcinoma (EC). STUDY DESIGN: This review of TMA technology in EC was based on a large number of published articles. We focused on the use of TMA technology as a tool to gain insight in endometrial carcinogenesis and to validate data obtained from DNA microarrays, proteomics and cellular models. RESULTS: We summarized the technical aspects of the 37 articles that were reviewed. The number of EC cases in each series varied from 32-485 (median, 128). The number of cores ranged from 1-4 (median, 2), and the size of the cores ranged from 0.6-2 mm (median, 0.6 mm). Only 3 studies applied fluorescence in situ hybridization technology, while the remaining 34 studies used immunohistochemistry. CONCLUSION: TMA can help to establish new prognostic markers and to define protein biomarkers that help in differential diagnosis.
机译:目的:回顾有关组织微阵列(TMA)技术在了解子宫内膜癌(EC)的生物学,诊断和预后方面的文献。研究设计:本文对EC中TMA技术的评论基于大量已发表的文章。我们专注于将TMA技术用作一种工具,以深入了解子宫内膜癌的发生并验证从DNA微阵列,蛋白质组学和细胞模型获得的数据。结果:我们总结了所审阅的37篇文章的技术方面。每个系列的EC病例数从32-485(中位数为128)不等。芯数为1-4(中位数为2),芯的尺寸为0.6-2mm(中位数为0.6mm)。只有3项研究应用了荧光原位杂交技术,而其余34项研究则采用了免疫组织化学。结论:TMA可以帮助建立新的预后标志物并确定有助于鉴别诊断的蛋白质生物标志物。

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