Evidence map›Paper›PMID 36725111›Full record

ReviewAdvances in cancer research2023

Mass spectrometry based biomarkers for early detection of HCC using a glycoproteomic approach.

Yehia Mechref, Wenjing Peng, Sakshi Gautam, Parisa Ahmadi, Yu Lin, Jianhui Zhu, Jie Zhang, Suyu Liu, Amit G Singal, Neehar D Parikh and 1 more

Open access · greenAbstract readReview
In one paragraph

Review in Advances in cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Multi Omics Applications in Biological Systems.Current issues in molecular biology · 2024
    Review
  6. The role ofActa pharmaceutica Sinica. B · 2024
    Review
  7. 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

11 authors at 4 institutions in 1 country.

Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States. Electronic address: yehia.mechref@ttu.edu.
Wenjing PengDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States.
Sakshi GautamDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States.
Parisa AhmadiDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States.
Yu LinDepartment of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States.
Jianhui ZhuDepartment of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States.
Jie ZhangDepartment of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States.
Suyu LiuDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Amit G SingalDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Neehar D ParikhDivision of Gastroenterology and Hepatology, University of Michigan Medical Center, Ann Arbor, MI, United States.
David M LubmanDepartment of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States. Electronic address: dmlubman@umich.edu.
University of Michigan–Ann Arbor · USTexas Tech University · USThe University of Texas MD Anderson Cancer Center · USThe University of Texas Southwestern Medical Center · US

Funding

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
Precision Risk Stratification and Screening for HCC among Patients with Cirrhosis in the United StatesU01CA230694 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2022
$3.5M
Sensitive and Quantitative MS-bases Glycomic Mapping PlatformR01GM112490 · NIGMS · TEXAS TECH UNIVERSITY · PI MECHREF, YEHIA · 2014 to 2024
$3.2M
Quantitative Characterization of Glycopeptide IsomersR01GM130091 · NIGMS · TEXAS TECH UNIVERSITY · PI Yehia Mechref · 2019 to 2026
$2.5M
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
Orbitrap Fusion Lumos ETD with IRMPD for UM Chemistry MS Facility ExpansionS10OD021619 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HAKANSSON, KRISTINA · 2016 to 2016
$1.1M
NCI NIH HHS R01 CA160254NCI NIH HHS U01 CA225753NCI NIH HHS U01 CA230694NIGMS NIH HHS R01 GM112490NIGMS NIH HHS R01 GM130091NIH HHS S10 OD021619
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related mortality worldwide and 80%-90% of HCC develops in patients that have underlying cirrhosis. Better methods of surveillance are needed to increase early detection of HCC and the proportion of patients that can be offered curative therapies. Recent work in novel mass spec-based methods for glycomic and glycopeptide analysis for discovery and confirmation of markers for early detection of HCC versus cirrhosis is reviewed in this chapter. Results from recent work in these fields by several groups and the progress made in developing markers of early HCC which can outperform the current serum-based markers are described and discussed. Also, recent developments in isoform analysis of glycans and glycopeptides and in various mass spec fragmentation methods will be described and discussed.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkersBiomarkers, TumorGlycopeptidesHumansMass SpectrometryBiomarkersBiomarkers, TumorGlycopeptidesBiomarkerGlycomicsGlycoproteomicsLiver diseasesMass spectrometry

Identifiers

PMID36725111
PMCPMC10014290
OpenAlexW4294738820

What OpenQuestion holds

Textmetadata
LicenceTDM
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.