Evidence map›Paper›PMID 36009489›Full record

ArticleBiomedicines2022

Characterization of Mesothelin Glycosylation in Pancreatic Cancer: Decreased Core Fucosylated Glycoforms in Pancreatic Cancer Patients' Sera.

Adrià Duran, Pedro E Guerrero, Maria Rosa Ortiz, Dúnia Pérez Del Campo, Ernesto Castro, Adelaida Garcia-Velasco, Esther Fort, Rafael de Llorens, Radka Saldova, Esther Llop and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. 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 2 countries.

Adrià DuranBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain.ORCID 0000-0002-4180-4369
Pedro E GuerreroBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain.ORCID 0000-0003-2612-9235
Maria Rosa OrtizPathology Department, Josep Trueta University Hospital, 17007 Girona, Spain.ORCID 0000-0002-8973-0493
Dúnia Pérez Del CampoClinic Laboratory, Josep Trueta University Hospital, 17190 Girona, Spain.ORCID 0000-0002-7022-6334
Ernesto CastroHepato-Biliary and Pancreatic Surgery Unit, Josep Trueta University Hospital, 17007 Girona, Spain.
Adelaida Garcia-VelascoInstitut Catala d'Oncologia (ICO), Josep Trueta University Hospital, 17007 Girona, Spain.
Esther FortDepartment of Gastrointestinal, Josep Trueta University Hospital, 17007 Girona, Spain.
Rafael de LlorensBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain.
Radka SaldovaGlycoScience Group, National Institute for Bioprocessing Research and Training (NIBRT), Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Dublin, Ireland.ORCID 0000-0001-5085-5080
Esther LlopBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain.ORCID 0000-0003-0929-4888
Rosa PeracaulaBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain.ORCID 0000-0003-3513-524X
Universitat de Girona · ESHospital Universitari de Girona Doctor Josep Trueta · ESInstitut Català d'Oncologia · ESUniversity College Dublin · IE

Funding

Ministerio de Ciencia e Innovación, España BIO 2015-66356-R and PID2020-115686RB-I00Science Foundation Ireland 13/SIRG/2164University of Girona MPCUdG2016/028, PONT 2019/20 and PONT 2020/04
6 · The paper itself

Abstract

Currently, there are no reliable biomarkers for the diagnosis of pancreatic cancer (PaC). Glycoproteomic approaches that analyze the glycan determinants on specific glycoproteins have proven useful to develop more specific cancer biomarkers than the corresponding protein levels. In PaC, mesothelin (MSLN) is a neo-expressed glycoprotein. MSLN glycosylation has not been described and could be altered in PaC. In this work, we aimed to characterize MSLN glycans from PaC cells and serum samples to assess their potential usefulness as PaC biomarkers. First, we analyzed MSLN glycans from PaC cell lines and then we developed an enzyme-linked lectin assay to measure core fucosylated-MSLN (Cf-MSLN) glycoforms. MSLN glycans from PaC cells were analyzed by glycan sequencing and through Western blotting with lectins. All of the cell lines secreted MSLN, with its three

Indexed as

biomarkerscore fucoselectinsmesothelinN-glycanpancreatic cancerPholiota squarrosa lectin

Identifiers

PMID36009489
PMCPMC9405996
OpenAlexW4290997377

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.