The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling
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 pl...
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| Format: | Article |
| Language: | English |
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Elsevier
2018-02-01
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| Series: | Genomics, Proteomics & Bioinformatics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1672022918300081 |
| _version_ | 1797369955239329792 |
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| author | Johana A. Luna Coronell Khulan Sergelen Philipp Hofer István Gyurján Stefanie Brezina Peter Hettegger Gernot Leeb Karl Mach Andrea Gsur Andreas Weinhäusel |
| author_facet | Johana A. Luna Coronell Khulan Sergelen Philipp Hofer István Gyurján Stefanie Brezina Peter Hettegger Gernot Leeb Karl Mach Andrea Gsur Andreas Weinhäusel |
| author_sort | Johana A. Luna Coronell |
| collection | DOAJ |
| description | 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. Keywords: Autoantibody tumor biomarker, Cancer immunology, Colorectal cancer, Immunomics, Protein microarray |
| first_indexed | 2024-03-08T17:55:26Z |
| format | Article |
| id | doaj.art-98ca38c326504a24bd359fc68986ba40 |
| institution | Directory Open Access Journal |
| issn | 1672-0229 |
| language | English |
| last_indexed | 2024-03-08T17:55:26Z |
| publishDate | 2018-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Genomics, Proteomics & Bioinformatics |
| spelling | doaj.art-98ca38c326504a24bd359fc68986ba402024-01-02T05:33:28ZengElsevierGenomics, Proteomics & Bioinformatics1672-02292018-02-011617384The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray ProfilingJohana A. Luna Coronell0Khulan Sergelen1Philipp Hofer2István Gyurján3Stefanie Brezina4Peter Hettegger5Gernot Leeb6Karl Mach7Andrea Gsur8Andreas Weinhäusel9Molecular Diagnostics, AIT – Austrian Institute of Technology, A-1190 Vienna, AustriaMolecular Diagnostics, AIT – Austrian Institute of Technology, A-1190 Vienna, AustriaDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University Vienna, A-1090 Vienna, AustriaMolecular Diagnostics, AIT – Austrian Institute of Technology, A-1190 Vienna, AustriaDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University Vienna, A-1090 Vienna, AustriaMolecular Diagnostics, AIT – Austrian Institute of Technology, A-1190 Vienna, AustriaHospital Oberpullendorf, A-7350, Oberpullendorf, AustriaHospital Oberpullendorf, A-7350, Oberpullendorf, AustriaDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University Vienna, A-1090 Vienna, AustriaMolecular Diagnostics, AIT – Austrian Institute of Technology, A-1190 Vienna, Austria; Corresponding author.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. Keywords: Autoantibody tumor biomarker, Cancer immunology, Colorectal cancer, Immunomics, Protein microarrayhttp://www.sciencedirect.com/science/article/pii/S1672022918300081 |
| spellingShingle | Johana A. Luna Coronell Khulan Sergelen Philipp Hofer István Gyurján Stefanie Brezina Peter Hettegger Gernot Leeb Karl Mach Andrea Gsur Andreas Weinhäusel The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling Genomics, Proteomics & Bioinformatics |
| title | The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling |
| title_full | The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling |
| title_fullStr | The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling |
| title_full_unstemmed | The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling |
| title_short | The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling |
| title_sort | immunome of colon cancer functional in silico analysis of antigenic proteins deduced from igg microarray profiling |
| url | http://www.sciencedirect.com/science/article/pii/S1672022918300081 |
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