Evidence map›Paper›PMID 33237353›Full record

ArticleCellular and molecular life sciences : CMLS2021

Shared extracellular vesicle miRNA profiles of matched ductal pancreatic adenocarcinoma organoids and blood plasma samples show the power of organoid technology.

Anikó Zeöld, Gyöngyvér Orsolya Sándor, Anna Kiss, András Áron Soós, Tamás Tölgyes, Attila Bursics, Ákos Szűcs, László Harsányi, Ágnes Kittel, András Gézsi and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Pluripotent stem cells for target organ developmental toxicity testing.Toxicological sciences : an official journal of the Society of Toxicology · 2024
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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 3 institutions in 1 country.

Anikó Zeöld *Department of Genetics, Cell and Immunobiology, Molecular Cancer Biology Research Group, Semmelweis University, Budapest, Hungary.
Gyöngyvér Orsolya Sándor *Department of Genetics, Cell and Immunobiology, Molecular Cancer Biology Research Group, Semmelweis University, Budapest, Hungary.
Anna KissDepartment of Genetics, Cell and Immunobiology, Molecular Cancer Biology Research Group, Semmelweis University, Budapest, Hungary.
András Áron SoósDepartment of Genetics, Cell and Immunobiology, Molecular Cancer Biology Research Group, Semmelweis University, Budapest, Hungary.
Tamás TölgyesUzsoki Hospital, Budapest, Hungary.
Attila BursicsUzsoki Hospital, Budapest, Hungary.
Ákos Szűcs1st Department of Surgery, Semmelweis University, Budapest, Hungary.
László Harsányi1st Department of Surgery, Semmelweis University, Budapest, Hungary.
Ágnes KittelInstitute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary.
András GézsiELKH-SE Immune-Proteogenomics Extracellular Vesicle Research Group, Semmelweis University, Budapest, Hungary.
Edit I BuzásELKH-SE Immune-Proteogenomics Extracellular Vesicle Research Group, Semmelweis University, Budapest, Hungary.
Zoltán WienerDepartment of Genetics, Cell and Immunobiology, Molecular Cancer Biology Research Group, Semmelweis University, Budapest, Hungary. wiener.zoltan@med.semmelweis-univ.hu.ORCID http://orcid.org/0000-0001-7056-4926
Semmelweis University · HUUzsoki Hospital · HUHUN-REN Institute of Experimental Medicine · HU

Funding

Hungarian Scientific Research Fund OTKA-NN 118018Ministry of Innovation and Technology, Hungary Higher Education Institutional Excellence ProgrammeNemzeti Kutatási, Fejlesztési és Innovaciós Alap NVKP_16-0007Pénzügyminisztérium, Hungary VEKOP-2.3.3-15-2016-00007Pénzügyminisztérium, Hungary VEKOP-2.3.3-15-2017-00016Semmelweis Egyetem STIA-2020
6 · The paper itself

Abstract

Extracellular vesicles (EV) are considered as a promising diagnostic tool for pancreatic ductal adenocarcinoma (PDAC), a disease with a poor 5-year survival that has not improved in the past years. PDAC patient-derived 3D organoids maintain the intratumoral cellular heterogeneity, characteristic for the tumor in vivo.Thus, they represent an ideal in vitro model system to study human cancers. Here we show that the miRNA cargo of EVs from PDAC organoids largely differs among patients. However, we detected a common set of EV miRNAs that were present in matched organoids and blood plasma samples of individual patients. Importantly, the levels of EV miR-21 and miR-195 were higher in PDAC blood EV preparations than in healthy controls, albeit we found no difference compared to chronic pancreatitis (CP) samples. In addition, here we report that the accumulation of collagen I, a characteristic change in the extracellular matrix (ECM) in both CP and PDAC, largely increases EV release from pancreatic ductal organoids. This provides a possible explanation why both CP and PDAC patient-derived plasma samples have an elevated amount of CD63 + EVs. Collectively, we show that PDAC patient-derived organoids represent a highly relevant model to analyze the cargo of tumor cell-derived EVs. Furthermore, we provide evidence that not only driver mutations, but also changes in the ECM may critically modify EV release from pancreatic ductal cells.

Indexed as

AnimalsCarcinoma, Pancreatic DuctalCase-Control StudiesCells, CulturedCollagen Type ICytokinesExtracellular MatrixExtracellular VesiclesHumansMiceMice, Inbred C57BLMicroRNAsOrganoidsPancreatic DuctsPancreatic NeoplasmsPancreatitisCollagen Type ICytokinesMicroRNAsCollagenExosomeExtracellular matrixmiR-195miR-21OrganoidPDAC

Identifiers

PMID33237353
PMCPMC8004523
OpenAlexW3109978575

What Socratic 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 Socratic graph.