Evidence map›Paper›PMID 31399619›Full record

ArticleScientific reports2019

Evaluation of AGP Fucosylation as a Marker for Hepatocellular Carcinoma of Three Different Etiologies.

Jing Liang, Jianhui Zhu, Mengmeng Wang, Amit G Singal, Mobolaji Odewole, Sofia Kagan, Veronica Renteria, Suyu Liu, Neehar D Parikh, David M Lubman

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  13. Orosomucoid in liver diseases.World journal of gastroenterology · 2021
    Article
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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 4 institutions in 2 countries.

Jing LiangDepartment of Surgery, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0003-3500-790X
Jianhui ZhuDepartment of Surgery, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-0051-7777
Mengmeng WangDepartment of Surgery, University of Michigan, Ann Arbor, MI, 48109, USA.
Amit G SingalDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Mobolaji OdewoleDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Sofia KaganDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Veronica RenteriaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Suyu LiuDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Neehar D ParikhDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, 48109, USA.
David M LubmanDepartment of Surgery, University of Michigan, Ann Arbor, MI, 48109, USA. dmlubman@umich.edu.
The University of Texas Southwestern Medical Center · USUniversity of Michigan · USChina University of Mining and Technology · CNThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Supplemental for Detection of Glycopeptides of MCI in Patient SerumR01CA160254 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David M. Lubman · 2012 to 2026
$5.4M
Microsequencing in an Ion Trap/reTOF DeviceR01GM049500 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 1994 to 2016
$3.0M
Screening of Glycan Markers in Serum for Early Detection of HCC in Different Etiologies of DiseaseU01CA225753 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M., MECHREF, YEHIA · 2018 to 2021
$2.0M
Discovery and Validation of Biomarkers for Early Cancer Detection Using Mass SpectrometryR50CA221808 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHU, JIANHUI · 2018 to 2020
$189k
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA160254NCI NIH HHS R50 CA221808NCI NIH HHS U01 CA225753NIGMS NIH HHS R01 GM049500
6 · The paper itself

Abstract

A mass spectrometric analysis platform has been developed to determine whether glycosylation patterns of alpha-1 acid glycoprotein (AGP) could be used as a marker for early detection of hepatocellular carcinoma (HCC) in different etiologies, i.e. non-alcoholic steatohepatitis (NASH), alcoholic liver disease (ALC), and hepatitis C virus (HCV). MALDI-MS profiling of N-glycans of AGP purified from 20 μL of patient serum in HCC (n = 72) and liver cirrhosis (n = 58) showed that a unique trifucosylated tetra-antennary glycan (m/z 3490.76) was predominantly identified in HCCs but was absent in healthy subjects and the majority of cirrhosis patients. Receiver operation characteristic (ROC) curve analysis showed that the trifucosylated N-glycan of AGP (triFc_AGP) could differentiate HCC from cirrhosis with an area under the curve (AUC) of 0.707, 0.726 and 0.751 for NASH, ALC and HCV, respectively. When combining triFc_AGP with INR and AFP, the panel had the greatest benefit in detection of NASH-related HCCs, with a significantly improved AUC of 0.882 for all NASH HCCs and 0.818 for early NASH HCCs compared to AFP alone (0.761 and 0.641, respectively). Moreover, triFc_AGP could serve as a potential marker for monitoring AFP-negative HCC patients.

Indexed as

AgedBiomarkers, TumorCarcinoma, HepatocellularFemaleFucoseGlycosylationHumansLiver Diseases, AlcoholicLiver NeoplasmsMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseOrosomucoidBiomarkers, TumorFucoseOrosomucoid

Identifiers

PMID31399619
PMCPMC6689003
OpenAlexW2968127365

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.