Evidence map›Paper›PMID 26501333›Full record

ArticleBiomolecules2015

Two-Dimensional N-Glycan Distribution Mapping of Hepatocellular Carcinoma Tissues by MALDI-Imaging Mass Spectrometry.

Thomas W Powers, Stephanie Holst, Manfred Wuhrer, Anand S Mehta, Richard R Drake

Abstract read
In one paragraph

Article in Biomolecules, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
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

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
  12. Lectin Drug Conjugates Targeting High Mannose N-Glycans.Chembiochem : a European journal of chemical biology · 2022
    Article
  13. Article
  14. Article
  15. Antitumor activity of a lectibody targeting cancer-associated high-mannose glycans.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  16. In SituCancers · 2022
    Article
  17. Article
  18. Article
  19. Review
  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.

Thomas W PowersDepartment of Cell and Molecular Pharmacology and Experimental Therapeutics and MUSC Proteomics Center, Medical University of South Carolina, 173 Ashley Avenue, Charleston, SC 29425, USA. ThomasWesley.Powers@pfizer.com.
Stephanie HolstCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden 2333ZA, The Netherlands. s.holst@lumc.nl.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden 2333ZA, The Netherlands. m.wuhrer@lumc.nl.
Anand S MehtaDepartment of Microbiology and Immunology, College of Medicine, Drexel University, 2900 W. Queen Lane, Philadelphia, PA 19129, USA. anand.mehta@drexelmed.edu.
Richard R DrakeDepartment of Cell and Molecular Pharmacology and Experimental Therapeutics and MUSC Proteomics Center, Medical University of South Carolina, 173 Ashley Avenue, Charleston, SC 29425, USA. draker@musc.edu.

Funding

Translational Science Laboratory Shared ResourceP30CA138313 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND N. DUBOIS · 2009 to 2026
$42.7M
SOUTH CAROLINA CLINICAL & TRANSLATIONAL RESEARCH INSTITUTE (SCTR)UL1RR029882 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2009 to 2011
$10.1M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Predicting HCC through GlycomicsR01CA120206 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MEHTA, ANAND S. · 2006 to 2016
$4.3M
Aberrantly secreted glycoproteins as markers of liver cancerU01CA168856 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MEHTA, ANAND S. · 2012 to 2016
$1.5M
Direct Tumor Glycan Profiling on Tissue MicroarraysR21CA186799 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DRAKE, RICHARD R. · 2015 to 2016
$496k
NCATS NIH HHS UL1 TR000062NCI NIH HHS P30 CA138313NCI NIH HHS R01 CA120206NCI NIH HHS R21 CA186799NCI NIH HHS R21CA186799NCI NIH HHS U01 CA168856NCRR NIH HHS UL1 RR029882
6 · The paper itself

Abstract

A new mass spectrometry imaging approach to simultaneously map the two-dimensional distribution of N-glycans in tissues has been recently developed. The method uses Matrix Assisted Laser Desorption Ionization Imaging Mass Spectrometry (MALDI-IMS) to spatially profile the location and distribution of multiple N-linked glycan species released by peptide N-glycosidase F in frozen or formalin-fixed tissues. Multiple formalin-fixed human hepatocellular carcinoma tissues were evaluated with this method, resulting in a panel of over 30 N-glycans detected. An ethylation reaction of extracted N-glycans released from adjacent slides was done to stabilize sialic acid containing glycans, and these structures were compared to N-glycans detected directly from tissue profiling. In addition, the distribution of singly fucosylated N-glycans detected in tumor tissue microarray cores were compared to the histochemistry staining pattern of a core fucose binding lectin. As this MALDI-IMS workflow has the potential to be applied to any formalin-fixed tissue block or tissue microarray, the advantages and limitations of the technique in context with other glycomic methods are also summarized.

Indexed as

Carcinoma, HepatocellularFormaldehydeGlycosylationHumansLiver NeoplasmsPolysaccharidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationFormaldehydePolysaccharidesformalin-fixed paraffin-embedded tissueglycoproteinhepatocellular carcinomaMALDI imaging mass spectrometryN-linked glycosylation

Identifiers

PMID26501333
PMCPMC4693247

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Registered trials

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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.