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使用组织微阵列技术对乳腺癌生物标志物进行临床验证。

Clinical validation of breast cancer biomarkers using tissue microarray technology.

作者信息

Quraishi Iram, Rishi Mazhar, Feldman Michael, Wargovich Michael J, Weber Barbara

机构信息

University of Pennsylvania Philadelphia, PA , USA.

出版信息

Appl Immunohistochem Mol Morphol. 2007 Mar;15(1):45-9. doi: 10.1097/01.pai.0000213129.86288.34.

Abstract

The results of previous studies done in our laboratory on breast cancer gene expression profile, using DNA microarrays, led to the discovery of several genes associated with breast cancer progression. Further evaluation of these genes and their involvement at various stages of cancer progression required performance of immunohistochemistry on thousands of different tissue blocks. Tissue microarray (TMA) technology facilitates rapid translation of DNA microarrays results to clinical specimens by using immunohistochemical analysis of protein expression. DNA microarray analysis done in our laboratory showed a significantly higher expression of prostatic-specific antigen (PSA) in invasive ductal carcinomas as compared to ductal carcinoma in situ, a finding contrary to the previously published data for PSA immunoreactivity in breast carcinomas. To find out whether TMA strategy could be used to explore the expression of the candidate genes involved in the breast cancer progression, we constructed a breast cancer progression TMA. It consisted of 2 normal ductal epithelium, 8 ductal carcinoma in situ, 19 invasive ductal carcinomas, and 3 metastatic ductal carcinomas of breast in triplets. Two prostatic adenocarcinomas and 2 normal colons were used as positive and negative controls, respectively. We first used well-documented and well-tested markers, such as antibodies to estrogen receptor, progesterone receptor, and p53. Results of these 3 antibodies were according to the previously published data. To validate our result, we then used antibody to PSA and looked for the expression of this protein on breast cancer progression TMA. Except for the 2 positive controls all 98 cores were found to be negative for PSA expression highlighting the importance of validation studies for DNA microarray results.

摘要

我们实验室之前利用DNA微阵列对乳腺癌基因表达谱进行的研究结果,促成了几个与乳腺癌进展相关基因的发现。要进一步评估这些基因及其在癌症进展各个阶段的作用,就需要对数千个不同的组织块进行免疫组织化学检测。组织微阵列(TMA)技术通过对蛋白质表达进行免疫组织化学分析,促进了将DNA微阵列结果快速转化应用于临床标本。我们实验室进行的DNA微阵列分析显示,与原位导管癌相比,浸润性导管癌中前列腺特异性抗原(PSA)的表达显著更高,这一发现与之前发表的乳腺癌中PSA免疫反应性的数据相反。为了探究TMA策略是否可用于探索参与乳腺癌进展的候选基因的表达,我们构建了一个乳腺癌进展TMA。它由2个正常导管上皮、8个原位导管癌、19个浸润性导管癌和3个乳腺转移性导管癌的三联体组成。分别使用2个前列腺腺癌和2个正常结肠作为阳性和阴性对照。我们首先使用了记录完善且经过充分测试的标志物,如雌激素受体、孕激素受体和p53的抗体。这3种抗体的检测结果与之前发表的数据一致。为了验证我们的结果,我们随后使用了PSA抗体,并在乳腺癌进展TMA上寻找该蛋白的表达。除了2个阳性对照外,所有98个芯块均被发现PSA表达呈阴性,这突出了对DNA微阵列结果进行验证研究的重要性。

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