利用高含量抗体芯片分析胃癌及邻近对照组织的蛋白谱。

Martin Sill, Christoph Schröder, Ying Shen, Aseel Marzoq, Radovan Komel, Jörg D Hoheisel, Henrik Nienhüser, Thomas Schmidt, Damjana Kastelic
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引用次数: 7

摘要

在本研究中,对胃癌组织样本进行了蛋白质谱分析,以确定可用于有效诊断这种高度异质性疾病的蛋白质,并作为治疗方法的靶点。为此,我们对16对术后胃腺癌和邻近非癌对照组织进行了微阵列分析,该微阵列包含813种针对724种蛋白的抗体。只有17种蛋白质被发现受到不同的调节,比通常在比较肿瘤和健康对照组织的研究中发现的分子数量要少得多。胰岛素样生长因子结合蛋白7 (IGFBP7)、S100钙结合蛋白A9 (S100A9)、白介素-10 (IL-10)和粘蛋白6 (MUC6)的变化最为显著。为了评估蛋白质区分胃癌的能力,进行了接受者工作特征曲线分析,得出区分肿瘤和非肿瘤组织的准确度(曲线下面积)为89.2%。为了证实这一点,我们对另一组胃癌患者的组织切片进行了免疫组织学分析。本文讨论了17种标记蛋白,特别是对胃腺癌具有最高特异性的4种分子的效用,使它们能够作为候选诊断,甚至在血清中,以及治疗方法的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays.

Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays.

Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays.

Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays.

In this study, protein profiling was performed on gastric cancer tissue samples in order to identify proteins that could be utilized for an effective diagnosis of this highly heterogeneous disease and as targets for therapeutic approaches. To this end, 16 pairs of postoperative gastric adenocarcinomas and adjacent non-cancerous control tissues were analyzed on microarrays that contain 813 antibodies targeting 724 proteins. Only 17 proteins were found to be differentially regulated, with much fewer molecules than the numbers usually identified in studies comparing tumor to healthy control tissues. Insulin-like growth factor-binding protein 7 (IGFBP7), S100 calcium binding protein A9 (S100A9), interleukin-10 (IL-10) and mucin 6 (MUC6) exhibited the most profound variations. For an evaluation of the proteins' capacity for discriminating gastric cancer, a Receiver Operating Characteristic curve analysis was performed, yielding an accuracy (area under the curve) value of 89.2% for distinguishing tumor from non-tumorous tissue. For confirmation, immunohistological analyses were done on tissue slices prepared from another cohort of patients with gastric cancer. The utility of the 17 marker proteins, and particularly the four molecules with the highest specificity for gastric adenocarcinoma, is discussed for them to act as candidates for diagnosis, even in serum, and targets for therapeutic approaches.

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来源期刊
自引率
0.00%
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0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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