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组织病理学研究中的多重组织芯阵列:一项验证性研究。

Multiple tissue core arrays in histopathology research: a validation study.

作者信息

Gillett C E, Springall R J, Barnes D M, Hanby A M

机构信息

Hedley Atkins/ICRF Breast Pathology Laboratory, Guy's Hospital, London SE1 9RT, UK.

出版信息

J Pathol. 2000 Dec;192(4):549-53. doi: 10.1002/1096-9896(2000)9999:9999<::AID-PATH721>3.0.CO;2-0.

Abstract

The use of multiple tissue arrays allows the examination of large cohorts of tumour tissue with economies of material and technical resources. It also permits the direct comparison of tissues on the same slide. In the present study, a series of 157 breast cancers was labelled with antibodies which recognize oestrogen (ER) and progesterone (PR) receptors and the staining obtained on whole tissue sections was compared with that from a series of multicore arrays. A highly significant association was found between the staining scores (0-7) obtained from the individual tissue sections and from the multicore arrays, although there was some discordance between the receptor status (positive/negative) of the whole section and the tissue core in 5% of cases for ER and in 6.5% of cases for PR. Multiple tissue cores represent an attractive way of dealing with large cohorts of tumours for research studies, because of the significant reduction in reagents and technical time required and the overall speed with which a study can be completed. A proportion of individual tissue cores were not representative of the diagnostic section, which limits the value of multicore arrays as a tool for patient management. However, the technique provides an efficient way of assessing the potential predictive value of novel proteins in different tumour types and in large cohorts.

摘要

使用多个组织阵列能够在节省材料和技术资源的情况下对大量肿瘤组织样本进行检测。它还能在同一张载玻片上对组织进行直接比较。在本研究中,用识别雌激素(ER)和孕激素(PR)受体的抗体标记了157例乳腺癌样本,并将全组织切片的染色结果与一系列多核阵列的染色结果进行了比较。尽管在5%的雌激素受体(ER)病例和6.5%的孕激素受体(PR)病例中,全切片与组织芯的受体状态(阳性/阴性)存在一些不一致,但从单个组织切片和多核阵列获得的染色评分(0 - 7)之间发现了高度显著的相关性。多个组织芯是处理大量肿瘤样本进行研究的一种有吸引力的方式,因为所需试剂和技术时间显著减少,且能加快研究的整体完成速度。部分单个组织芯不能代表诊断切片,这限制了多核阵列作为患者管理工具的价值。然而,该技术为评估新型蛋白质在不同肿瘤类型和大量样本中的潜在预测价值提供了一种有效方法。

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