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通过激光捕获显微切割和无标记 LC-MS 鉴定血管性乳腺肿瘤标志物。

Identification of vascular breast tumor markers by laser capture microdissection and label-free LC-MS.

机构信息

Institute for Biological Sciences, National Research Council Canada, 100 Sussex Drive, Ottawa, Ontario, Canada.

出版信息

J Proteome Res. 2011 May 6;10(5):2479-93. doi: 10.1021/pr101267k. Epub 2011 Apr 1.

Abstract

Blood vessels in tumors frequently show abnormal characteristics, such as tortuous morphology or leakiness, but very little is known about protein expression in tumor vessels. In this study, we have used laser capture microdissection (LCM) to isolate microvessels from clinical samples of invasive ductal carcinoma (IDC), the most common form of malignant breast cancer, and from patient-matched adjacent nonmalignant tissue. This approach eliminates many of the problems associated with the heterogeneity of clinical tumor tissues by controlling for differences in protein expression between both individual patients and different cell types. Proteins from the microvessels were trypsinized and the resulting peptides were quantified by a label-free nanoLC-MS method. A total of 86 proteins were identified that are overexpressed in tumor vessels relative to vessels isolated from the adjacent nonmalignant tissue. These proteins include well-known breast tumor markers such as Periostin and Tenascin C but also proteins with lesser-known or emerging roles in breast cancer and tumor angiogenesis (i.e., Serpin H1, Clic-1, and Transgelin 2). We also identified 40 proteins that were relatively under-expressed in IDC tumor vessels, including several components of the basement membrane whose lower expression could be responsible for weakening tumor vessels. Lastly, we show that a subset of 29 proteins, derived from our list of differentially expressed proteins, is able to predict survival in three publicly available clinical breast cancer microarray data sets, which suggests that this subset of proteins likely plays a functional role in cancer progression and outcome.

摘要

肿瘤中的血管经常表现出异常特征,例如蜿蜒的形态或渗漏,但对肿瘤血管中的蛋白质表达知之甚少。在这项研究中,我们使用激光捕获显微切割(LCM)从浸润性导管癌(IDC)的临床样本中分离微血管,IDC 是最常见的恶性乳腺癌形式,以及从患者匹配的相邻非恶性组织中分离微血管。这种方法通过控制个体患者和不同细胞类型之间的蛋白质表达差异,消除了临床肿瘤组织异质性相关的许多问题。从小血管中分离出的蛋白质用胰蛋白酶进行消化,并用无标记的纳升 LC-MS 方法对得到的肽进行定量。共鉴定出 86 种在肿瘤血管中相对过度表达的蛋白质,与从相邻非恶性组织中分离出的血管相比。这些蛋白质包括众所周知的乳腺癌标志物,如 Periostin 和 Tenascin C,但也包括在乳腺癌和肿瘤血管生成中具有鲜为人知或新兴作用的蛋白质(即 Serpin H1、Clic-1 和 Transgelin 2)。我们还鉴定出 40 种在 IDC 肿瘤血管中相对低表达的蛋白质,包括基底膜的几个组成部分,其较低的表达可能导致肿瘤血管变弱。最后,我们表明,从差异表达蛋白质列表中得出的 29 种蛋白质子集能够预测三个公开可用的临床乳腺癌微阵列数据集的生存情况,这表明这组蛋白质可能在癌症进展和结果中发挥功能作用。

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