Evidence map›Paper›PMID 37963969›Full record

ArticleScientific reports2023

MiR-200b categorizes patients into pancreas cystic lesion subgroups with different malignant potential.

Márton Benke, Anikó Zeöld, Ágnes Kittel, Delaram Khamari, István Hritz, Miklós Horváth, Bánk Keczer, Katalin Borka, Ákos Szücs, Zoltán Wiener

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Review
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 1 institution in 1 country.

Márton Benke *Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary.
Anikó Zeöld *Department of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary.
Ágnes KittelDepartment of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary.
Delaram KhamariDepartment of Genetics, Cell and Immunobiology, and HUN-REN-SU Translational Extracellular Vesicle Research Group, Semmelweis University, Budapest, Hungary.
István HritzDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary.
Miklós HorváthDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary.
Bánk KeczerDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary.
Katalin BorkaDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Ákos SzücsDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, Hungary. szucs.akos@semmelweis.hu.
Zoltán WienerDepartment of Genetics, Cell and Immunobiology, Semmelweis University, Budapest, Hungary. wiener.zoltan@med.semmelweis-univ.hu.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EV) carry their cargo in a membrane protected form, however, their value in early diagnostics is not well known. Although pancreatic cysts are heterogeneous, they can be clustered into the larger groups of pseudocysts (PC), and serous and mucinous pancreatic cystic neoplasms (S-PCN and M-PCN, respectively). In contrast to PCs and S-PCNs, M-PCNs may progress to malignant pancreatic cancers. Since current diagnostic tools do not meet the criteria of high sensitivity and specificity, novel methods are urgently needed to differentiate M-PCNs from other cysts. We show that cyst fluid is a rich source of EVs that are positive and negative for the EV markers CD63 and CD81, respectively. Whereas we found no difference in the EV number when comparing M-PCN with other pancreatic cysts, our EV-based biomarker identification showed that EVs from M-PCNs had a higher level of miR-200b. We also prove that not only EV-derived, but also total cyst fluid miR-200b discriminates patients with M-PCN from other pancreatic cysts with a higher sensitivity and specificity compared to other diagnostic methods, providing the possibility for clinical applications. Our results show that measuring miR-200b in cyst fluid-derived EVs or from cyst fluid may be clinically important in categorizing patients.

Indexed as

MicroRNAsPancreatic CystPancreatic NeoplasmsBiomarkersHumansPancreasBiomarkersMicroRNAsMIRN200 microRNA, human

Identifiers

PMID37963969
PMCPMC10646105
OpenAlexW4388657791

What OpenQuestion holds

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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.