Evidence map›Paper›PMID 31681332›Full record

ArticleFrontiers in immunology2019

Melanoma-Derived Exosomes Induce PD-1 Overexpression and Tumor Progression via Mesenchymal Stem Cell Oncogenic Reprogramming.

Edina Gyukity-Sebestyén, Mária Harmati, Gabriella Dobra, István B Németh, Johanna Mihály, Ágnes Zvara, Éva Hunyadi-Gulyás, Róbert Katona, István Nagy, Péter Horváth and 12 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Exosomes in the Diagnosis and Treatment of Renal Cell Cancer.International journal of molecular sciences · 2023
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  19. Signal pathways of melanoma and targeted therapy.Signal transduction and targeted therapy · 2021
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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

22 authors.

Edina Gyukity-SebestyénLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Mária HarmatiLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Gabriella DobraLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
István B NémethDepartment of Dermatology and Allergology, University of Szeged, Szeged, Hungary.
Johanna MihályDepartment of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Ágnes ZvaraLaboratory of Functional Genomics, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Éva Hunyadi-GulyásLaboratory of Proteomics Research, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Róbert KatonaArtificial Chromosome and Stem Cell Research Laboratory, Institute of Genetics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
István NagySequencing Platform, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Péter HorváthLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Árpád BálindLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Ábel SzkalisityLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Mária KovácsLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Tibor PankotaiDepartment of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.
Barbara BorsosDepartment of Biochemistry and Molecular Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.
Miklós ErdélyiAdvanced Optical Imaging Group, Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.
Zsolt SzegletesAtomic Force Microscope Laboratory, Institute of Biophysics, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.
Zoltán J VerébDepartment of Dermatology and Allergology, University of Szeged, Szeged, Hungary.
Edit I BuzásMTA-SE Immuno-proteogenomics Extracellular Vesicle Research Group, Department of Genetics, Cell- and Immunobiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Lajos KeményDepartment of Dermatology and Allergology, University of Szeged, Szeged, Hungary.
Tamás BíróDepartment of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Krisztina BuzásLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre of Hungarian Academy of Sciences, Szeged, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, it has been described that programmed cell death protein 1 (PD-1) overexpressing melanoma cells are highly aggressive. However, until now it has not been defined which factors lead to the generation of PD-1 overexpressing subpopulations. Here, we present that melanoma-derived exosomes, conveying oncogenic molecular reprogramming, induce the formation of a melanoma-like, PD-1 overexpressing cell population (mMSC

Indexed as

AnimalsCarcinogenesisCell Line, TumorCells, CulturedDisease ProgressionExosomesFemaleGene Expression Regulation, NeoplasticHumansMaleMelanomaMesenchymal Stem CellsMice, Inbred C57BLMicroscopy, Atomic ForceMicroscopy, Electron, ScanningOncogenesProgrammed Cell Death 1 Receptorexosomemelanoma/tumor progressionmetastasisPD-1reprogrammingsignalization patternstem cell

Identifiers

PMID31681332
PMCPMC6813737

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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.