Evidence map›Paper›PMID 29505855›Full record

ArticleGenomics, proteomics & bioinformatics2018

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

Johana A Luna Coronell, Khulan Sergelen, Philipp Hofer, István Gyurján, Stefanie Brezina, Peter Hettegger, Gernot Leeb, Karl Mach, Andrea Gsur, Andreas Weinhäusel

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 23 citations in OpenAlex.

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  12. Systemic autoinflammatory diseases.Journal of autoimmunity · 2020
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Johana A Luna CoronellMolecular Diagnostics, AIT - Austrian Institute of Technology, A-1190 Vienna, Austria.
Khulan SergelenMolecular Diagnostics, AIT - Austrian Institute of Technology, A-1190 Vienna, Austria.
Philipp HoferDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University Vienna, A-1090 Vienna, Austria.
István GyurjánMolecular Diagnostics, AIT - Austrian Institute of Technology, A-1190 Vienna, Austria.
Stefanie BrezinaDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University Vienna, A-1090 Vienna, Austria.
Peter HetteggerMolecular Diagnostics, AIT - Austrian Institute of Technology, A-1190 Vienna, Austria.
Gernot LeebHospital Oberpullendorf, A-7350, Oberpullendorf, Austria.
Karl MachHospital Oberpullendorf, A-7350, Oberpullendorf, Austria.
Andrea GsurDepartment of Medicine I, Institute of Cancer Research, Comprehensive Cancer Center, Medical University Vienna, A-1090 Vienna, Austria.
Andreas WeinhäuselMolecular Diagnostics, AIT - Austrian Institute of Technology, A-1190 Vienna, Austria. Electronic address: andreas.weinhaeusel@ait.ac.at.
Austrian Institute of Technology · ATComprehensive Cancer Center Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Computer SimulationAdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesColonic NeoplasmsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunoglobulin GMaleMiddle AgedProtein Array AnalysisBiomarkers, TumorImmunoglobulin GAutoantibody tumor biomarkerCancer immunologyColorectal cancerImmunomicsProtein microarray

Identifiers

PMID29505855
PMCPMC6000238
OpenAlexW2790600231

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.