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结肠癌的免疫组学：从 IgG 微阵列分析推断抗原蛋白的功能计算分析。

The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling.

机构信息

Molecular Diagnostics, AIT - Austrian Institute of Technology, A-1190 Vienna, Austria.

Department of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University Vienna, A-1090 Vienna, Austria.

出版信息

Genomics Proteomics Bioinformatics. 2018 Feb;16(1):73-84. doi: 10.1016/j.gpb.2017.10.002. Epub 2018 Mar 2.

DOI:10.1016/j.gpb.2017.10.002
PMID:29505855
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6000238/
Abstract

Characterization of the colon cancer immunome and its autoantibody signature from differentially-reactive antigens (DIRAGs) could provide insights into aberrant cellular mechanisms or enriched networks associated with diseases. The purpose of this study was to characterize the antibody profile of plasma samples from 32 colorectal cancer (CRC) patients and 32 controls using proteins isolated from 15,417 human cDNA expression clones on microarrays. 671 unique DIRAGs were identified and 632 were more highly reactive in CRC samples. Bioinformatics analyses reveal that compared to control samples, the immunoproteomic IgG profiling of CRC samples is mainly associated with cell death, survival, and proliferation pathways, especially proteins involved in EIF2 and mTOR signaling. Ribosomal proteins (e.g., RPL7, RPL22, and RPL27A) and CRC-related genes such as APC, AXIN1, E2F4, MSH2, PMS2, and TP53 were highly enriched. In addition, differential pathways were observed between the CRC and control samples. Furthermore, 103 DIRAGs were reported in the SEREX antigen database, demonstrating our ability to identify known and new reactive antigens. We also found an overlap of 7 antigens with 48 "CRC genes." These data indicate that immunomics profiling on protein microarrays is able to reveal the complexity of immune responses in cancerous diseases and faithfully reflects the underlying pathology.

摘要

对结肠癌免疫组和其自身抗体特征进行鉴定（DIRAGs）可以深入了解与疾病相关的异常细胞机制或富集的网络。本研究的目的是利用微阵列上的 15417 个人 cDNA 表达克隆来分离蛋白质，对 32 名结直肠癌（CRC）患者和 32 名对照者的血浆样本的抗体谱进行鉴定。共鉴定出 671 个独特的 DIRAGs，其中 632 个在 CRC 样本中反应更为强烈。生物信息学分析显示，与对照样本相比，CRC 样本的免疫蛋白组 IgG 谱主要与细胞死亡、存活和增殖途径相关，特别是涉及 EIF2 和 mTOR 信号的蛋白质。核糖体蛋白（如 RPL7、RPL22 和 RPL27A）和 CRC 相关基因，如 APC、AXIN1、E2F4、MSH2、PMS2 和 TP53 高度富集。此外，CRC 和对照样本之间还观察到差异途径。此外，在 SEREX 抗原数据库中报告了 103 个 DIRAGs，证明了我们识别已知和新反应性抗原的能力。我们还发现 7 个抗原与 48 个“CRC 基因”重叠。这些数据表明，蛋白质微阵列上的免疫组学分析能够揭示癌症疾病中免疫反应的复杂性，并真实反映潜在的病理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/75b57ba450e6/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/bd76432892b1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/b10620ac8284/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/8c3d76d4518d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/3f51701d6b6c/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/75b57ba450e6/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/bd76432892b1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/b10620ac8284/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/8c3d76d4518d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/3f51701d6b6c/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6000238/75b57ba450e6/fx2.jpg

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3
Immune-Signatures for Lung Cancer Diagnostics: Evaluation of Protein Microarray Data Normalization Strategies.
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4
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Cohort profile: Biomarkers related to folate-dependent one-carbon metabolism in colorectal cancer recurrence and survival - the FOCUS Consortium.队列特征描述：结直肠癌复发和生存中与叶酸依赖性一碳代谢相关的生物标志物 - FOCUS 联盟。
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6
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