Evidence map›Paper›PMID 36710341›Full record

ArticleJournal of translational medicine2023

Targeting epigenetic features in clear cell sarcomas based on patient-derived cell lines.

Christina Karner, Ines Anders, Djenana Vejzovic, Joanna Szkandera, Susanne Scheipl, Alexander J A Deutsch, Larissa Weiss, Klemens Vierlinger, Dagmar Kolb, Stefan Kühberger and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. An NMR-Based Approach for Global Arginine Methylation Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. 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

17 authors at 4 institutions in 2 countries.

Christina KarnerDivision of Biomedical Research, Core Facility Alternative Biomodels and Preclinical Imaging, Medical University of Graz, Roseggerweg 48, 8036, Graz, Austria.
Ines AndersDivision of Biomedical Research, Core Facility Alternative Biomodels and Preclinical Imaging, Medical University of Graz, Roseggerweg 48, 8036, Graz, Austria.
Djenana VejzovicDivision of Biomedical Research, Core Facility Alternative Biomodels and Preclinical Imaging, Medical University of Graz, Roseggerweg 48, 8036, Graz, Austria.
Joanna SzkanderaDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Susanne ScheiplDepartment of Orthopedics and Trauma, Medical University of Graz, Graz, Austria.
Alexander J A DeutschDivision of Hematology, Medical University of Graz, Graz, Austria.
Larissa WeissInstitute for Health Care Engineering With European Testing Center of Medical Devices, University of Technology, Graz, Austria.
Klemens VierlingerCompetence Unit Molecular Diagnostics, Center for Health and Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria.
Dagmar KolbCore Facility Ultrastructure Analysis, Center for Medical Research, Gottfried Schatz Research Center, Medical University of Graz, Graz, Austria.
Stefan KühbergerDiagnostic and Research Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria.
Ellen HeitzerDiagnostic and Research Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria.
Hansjörg HabischResearch Unit Integrative Structural Biology, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria.
Fangrong ZhangResearch Unit Integrative Structural Biology, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria.
Tobias MadlResearch Unit Integrative Structural Biology, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria.
Birgit Reininger-GutmannDivision of Biomedical Research, Core Facility Alternative Biomodels and Preclinical Imaging, Medical University of Graz, Roseggerweg 48, 8036, Graz, Austria.
Bernadette Liegl-AtzwangerDiagnostic and Research Institute of Pathology, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria. bernadette.liegl-atzwanger@medunigraz.at.
Beate RinnerDivision of Biomedical Research, Core Facility Alternative Biomodels and Preclinical Imaging, Medical University of Graz, Roseggerweg 48, 8036, Graz, Austria. beate.rinner@medunigraz.at.ORCID 0000-0002-6340-4905
Medical University of Graz · ATAustrian Institute of Technology · ATFujian Medical University · CNGraz University of Technology · AT

Funding

Austrian Science Fund FWF DK-MCD W1226Austrian Science Fund FWF DOC-130Austrian Science Fund FWF I 3792Austrian Science Fund FWF I3792Austrian Science Fund FWF P 28854Austrian Science Fund FWF P28854Austrian Science Fund FWF W 1226
6 · The paper itself

Abstract

backgroundClear cell sarcomas (CCSs) are translocated aggressive malignancies, most commonly affecting young adults with a high incidence of metastases and a poor prognosis. Research into the disease is more feasible when adequate models are available. By establishing CCS cell lines from a primary and metastatic lesion and isolating healthy fibroblasts from the same patient, the in vivo process is accurately reflected and aspects of clinical multistep carcinogenesis recapitulated.

methodsIsolated tumor cells and normal healthy skin fibroblasts from the same patient were compared in terms of growth behavior and morphological characteristics using light and electron microscopy. Tumorigenicity potential was determined by soft agar colony formation assay and in vivo xenograft applications. While genetic differences between the two lineages were examined by copy number alternation profiles, nuclear magnetic resonance spectroscopy determined arginine methylation as epigenetic features. Potential anti-tumor effects of a protein arginine N-methyltransferase type I (PRMT1) inhibitor were elicited in 2D and 3D cell culture experiments using cell viability and apoptosis assays. Statistical significance was calculated by one-way ANOVA and unpaired t-test.

resultsThe two established CCS cell lines named MUG Lucifer prim and MUG Lucifer met showed differences in morphology, genetic and epigenetic data, reflecting the respective original tissue. The detailed cell line characterization especially in regards to the epigenetic domain allows investigation of new innovative therapies. Based on the epigenetic data, a PRMT1 inhibitor was used to demonstrate the targeted antitumor effect; normal tissue cells isolated and immortalized from the same patient were not affected with the IC

conclusionsMUG Lucifer prim, MUG Lucifer met and isolated and immortalized fibroblasts from the same patient represent an ideal in vitro model to explore the biology of CCS. Based on this cell culture model, novel therapies could be tested in the form of PRMT1 inhibitors, which drive tumor cells into apoptosis, but show no effect on fibroblasts, further supporting their potential as promising treatment options in the combat against CCS. The data substantiate the importance of tailored therapies in the advanced metastatic stage of CCS.

Indexed as

Sarcoma, Clear CellArginineCell LineCell Line, TumorEnzyme InhibitorsEpigenesis, GeneticHumansProtein-Arginine N-MethyltransferasesRepressor ProteinsArginineEnzyme InhibitorsPRMT1 protein, humanProtein-Arginine N-MethyltransferasesRepressor ProteinsArginine methylationClear cell sarcomaEpigenetic hall marksMetastases

Identifiers

PMID36710341
PMCPMC9884415
OpenAlexW4318425762

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.