Evidence map›Paper›PMID 25582524›Full record

Trial reportJournal of proteomics2015

Quantitative analysis of immunoglobulin subclasses and subclass specific glycosylation by LC-MS-MRM in liver disease.

Wei Yuan, Miloslav Sanda, Jing Wu, John Koomen, Radoslav Goldman

Abstract readClinical Trial
In one paragraph

Trial report in Journal of proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

37 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. High-throughput site-specificNational science review · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. The glycosylation in SARS-CoV-2 and its receptor ACE2.Signal transduction and targeted therapy · 2021
    Review
  13. Article
  14. Review
  15. The Role of Data-Independent Acquisition for Glycoproteomics.Molecular & cellular proteomics : MCP · 2021
    Review
  16. Calculating Glycoprotein Similarities From Mass Spectrometric Data.Molecular & cellular proteomics : MCP · 2021
    Review
  17. Article
  18. Review
  19. Distribution ofFrontiers in immunology · 2020
    Article
  20. Article
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

5 authors at 3 institutions in 1 country.

Wei YuanDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
Miloslav SandaDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
Jing WuDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
John KoomenMoffitt Cancer Center, Tampa, FL 33612, USA.
Radoslav GoldmanDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA. Electronic address: rg26@georgetown.edu.
Georgetown University Medical Center · USGeorgetown University · USMoffitt Cancer Center · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Glycans in Hepatocellular CarcinomaR01CA135069 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2009 to 2019
$4.1M
Integrative Molecular Epidemiology WorkshopR25CA174664 · NCI · AMERICAN ASSOCIATION FOR CANCER RESEARCH · PI Shelley S Tworoger · 2013 to 2026
$2.8M
Alliance of Glycobiologists for Detection of CancerU01CA168926 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2012 to 2016
$2.0M
Basic Cancer Research in Cancer Health DisparitiesU01CA171146 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2012 to 2016
$1.5M
Quantitative Mass Spectrometry Assays to Detect Multiple Myeloma and Assess RelapR21CA141285 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI KOOMEN, JOHN M · 2009 to 2010
$404k
NCI NIH HHS P30 CA051008NCI NIH HHS P30 CA076292NCI NIH HHS P30-CA-076292NCI NIH HHS P30 CA51008NCI NIH HHS R01 CA135069NCI NIH HHS R21 CA141285NCI NIH HHS R21-CA141285NCI NIH HHS R25 CA174664NCI NIH HHS U01 CA168926NCI NIH HHS U01 CA171146NCI NIH HHS UO1 CA171146
6 · The paper itself

Abstract

Aberrant glycosylation of IgGs has been linked to human diseases, including liver disease. In this study, we have quantified plasma immunoglobulins in cirrhosis (CIR) and hepatocellular carcinoma (HCC) and employed a novel LC-MS-MRM assay to quantify glycoforms of IgG subclasses 1-4. Glycan oxonium ions and peptide-GlcNAc fragment ions were utilized to quantify the IgG glycoforms purified by affinity chromatography with normalization to the unique peptide for each IgG subclass. Our results indicate that HCC patients have increased circulating IgG1, IgG3, IgA1, and IgM compared to healthy controls; comparison of HCC and CIR patients shows that HCC patients have significantly higher concentration of IgG1 and IgM but lower concentration of IgG2. An increase in galactose-deficient core fucosylated glycoforms was consistently observed in CIR and HCC patients. The FA2G0 and FA2BG0 glycoforms increase approximately 2-fold in all IgG subclasses accompanied by a decrease in the FA2G2 glycoform. Fucosylation changes are less pronounced but we have detected increased degree of fucosylation in the IgG1 and IgG3 glycoforms. In conclusion, we have optimized a sensitive and selective LC-MS-MRM method for the quantification of immunoglobulin subclasses and their site specific glycoforms, demonstrating that both quantities and glycoforms of immunoglobulins change significantly in liver disease progression to HCC. BIOLOGICAL SIGNIFICANCE: We have demonstrated that both quantities and glycoforms of immunoglobulin subclasses change significantly in liver disease progression to HCC through quantitative study of immunoglobulin subclasses and their site specific glycoforms using a sensitive and selective LC-MS-MRM method. Redistribution of the glycoforms of specific immunoglobulin subclasses could have important implications for receptor mediated responses affecting the progression of liver disease.

Indexed as

Antibodies, NeoplasmCarcinoma, HepatocellularFemaleGalactoseGlycosylationHumansLiver CirrhosisLiver NeoplasmsMaleMass SpectrometryMiddle AgedAntibodies, NeoplasmGalactoseCirrhosisGlycosylationHCVHepatocellular carcinoma (HCC)ImmunoglobulinLC–MS–MRM

Identifiers

PMID25582524
PMCPMC4329072
OpenAlexW2091525315

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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.