Evidence map›Paper›PMID 37894845›Full record

ArticleInternational journal of molecular sciences2023

Immunohistochemical Glucagon-like Peptide-1 Receptor Expression in Human Insulinomas.

Tiina Vesterinen, Elina Peltola, Helena Leijon, Päivi Hannula, Heini Huhtala, Markus J Mäkinen, Lasse Nieminen, Elina Pirinen, Mikko Rönty, Mirva Söderström and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 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
2.4field-weighted citation impact, top 10% 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, 11 citations in OpenAlex.

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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

12 authors at 6 institutions in 1 country.

Tiina VesterinenDepartment of Pathology, HUSLAB, HUS Diagnostic Center, Helsinki University Hospital, University of Helsinki, 00290 Helsinki, Finland.ORCID 0000-0003-2997-0337
Elina PeltolaFaculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland.ORCID 0000-0003-3359-7109
Helena LeijonDepartment of Pathology, HUSLAB, HUS Diagnostic Center, Helsinki University Hospital, University of Helsinki, 00290 Helsinki, Finland.
Päivi HannulaFaculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland.ORCID 0000-0003-3172-9331
Heini HuhtalaFaculty of Social Sciences, Tampere University, 33014 Tampere, Finland.ORCID 0000-0003-1372-430X
Markus J MäkinenDepartment of Pathology, Research Unit of Translational Medicine, Oulu University Hospital, University of Oulu, 90220 Oulu, Finland.
Lasse NieminenFimlab Laboratories, Pathology Department, Tampere University Hospital, 33520 Tampere, Finland.
Elina PirinenDepartment of Clinical Pathology, Kuopio University Hospital, 70029 Kuopio, Finland.
Mikko RöntyDepartment of Pathology, HUSLAB, HUS Diagnostic Center, Helsinki University Hospital, University of Helsinki, 00290 Helsinki, Finland.
Mirva SöderströmDepartment of Pathology, Turku University Hospital, 20521 Turku, Finland.
Pia JaatinenFaculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland.ORCID 0000-0002-8693-3498
Johanna ArolaDepartment of Pathology, HUSLAB, HUS Diagnostic Center, Helsinki University Hospital, University of Helsinki, 00290 Helsinki, Finland.
Tampere University · FIUniversity of Helsinki · FIKuopio University Hospital · FIOulu University Hospital · FITampere University Hospital · FITurku University Hospital · FI

Funding

Research Funding provided by Tampere University and the University Consortium of Seinäjoki UCS2023 FundingResearch Funding provided by Tampere University Hospital 6300/3247 and MK287the Finnish Cancer Foundation no numberthe Helsinki University Hospital Research Fund TYH2021204the Hospital District of South Ostrobothnia 1717/6143
6 · The paper itself

Abstract

Insulinomas are rare functional pancreatic neuroendocrine tumours, which metastasize in 10% of cases. As predicting the prognosis can be challenging, there is a need for the determination of clinicopathological factors associated with metastatic potential. The aim of this study is to evaluate the glucagon-like peptide-1 receptor (GLP-1R) expression in insulinomas and to analyse its association with clinicopathological features and patient outcome. This retrospective study involves pancreatic tumour tissue samples from fifty-two insulinoma patients. After histological re-evaluation, formalin-fixed paraffin-embedded tissue samples were processed into tissue microarrays and stained immunohistochemically with a monoclonal GLP-1R antibody. Forty-eight of the forty-nine (98%) non-metastatic tumours expressed GLP-1R, while one non-metastatic, multiple endocrine neoplasia type 1 (MEN1)-related tumour and all three of the metastatic tumours lacked GLP-1R expression. The lack of GLP-1R expression was associated with impaired overall survival, larger tumour diameter, higher Ki-67 PI and weaker insulin staining. Somatostatin receptor 1-5 expression did not differ between GLP-1R-positive and GLP-1R-negative insulinomas. In conclusion, the lack of GLP-1R expression is associated with metastatic disease and impaired survival in insulinoma patients. Thus, GLP-1R expression could be a useful biomarker in estimating the metastatic potential of the tumour and the prognosis of surgically treated patients.

Indexed as

InsulinomaPancreatic NeoplasmsAntibodies, MonoclonalGlucagon-Like Peptide-1 ReceptorHumansInsulinRetrospective StudiesAntibodies, MonoclonalGLP1R protein, humanGlucagon-Like Peptide-1 ReceptorInsulinglucagon-like peptide-1 receptorsimmunohistochemistryinsulinomaneuroendocrine tumour

Identifiers

PMID37894845
PMCPMC10606800
OpenAlexW4387617743

What OpenQuestion holds

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LicenceCC BY
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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.