Evidence map›Paper›PMID 36476851›Full record

ArticleCell reports2022

Systematic multi-omics cell line profiling uncovers principles of Ewing sarcoma fusion oncogene-mediated gene regulation.

Martin F Orth, Didier Surdez, Tobias Faehling, Anna C Ehlers, Aruna Marchetto, Sandrine Grossetête, Richard Volckmann, Danny A Zwijnenburg, Julia S Gerke, Sakina Zaidi and 15 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 77 citations in OpenAlex.

  1. Trial
  2. Open-Label, Multicenter, Phase I/II, First-in-Human Trial of TK216: A First-Generation EWS::FLI1 Fusion Protein Antagonist in Ewing Sarcoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Trial
  3. Article
  4. Article
  5. Western Blot Analysis in Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. STAG2 loss amplifies EWS-FLI1-driven microsatellite enhancer activity promoting Ewing sarcoma aggressiveness.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

25 authors at 11 institutions in 6 countries.

Martin F OrthMax-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, 80337 Munich, Germany.
Didier SurdezINSERM Unit 830 "Genetics and Biology of Cancers," Institut Curie Research Center, 75005 Paris, France; Balgrist University Hospital, Faculty of Medicine, University of Zürich, 8008 Zürich, Switzerland.
Tobias FaehlingHopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany; Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Anna C EhlersHopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany; Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Aruna MarchettoMax-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, 80337 Munich, Germany.
Sandrine GrossetêteINSERM Unit 830 "Genetics and Biology of Cancers," Institut Curie Research Center, 75005 Paris, France.
Richard VolckmannDepartment of Oncogenomics, Amsterdam University Medical Centers (AUMC), 1105 Amsterdam, the Netherlands.
Danny A ZwijnenburgDepartment of Oncogenomics, Amsterdam University Medical Centers (AUMC), 1105 Amsterdam, the Netherlands.
Julia S GerkeMax-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, 80337 Munich, Germany.
Sakina ZaidiINSERM Unit 830 "Genetics and Biology of Cancers," Institut Curie Research Center, 75005 Paris, France.
Javier AlonsoUnidad de Tumores Sólidos Infantiles, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, 28029 Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CB06/07/1009, CIBERER-ISCIII), 28029 Madrid, Spain.
Ana SastreUnidad Hemato-oncología Pediátrica, Hospital Infantil Universitario La Paz, 28029 Madrid, Spain.
Sylvain BaulandeInstitut Curie Genomics of Excellence (ICGex) Platform, Institut Curie Research Center, 75005 Paris, France.
Martin SillHopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany; Division of Pediatric Neuro-Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Florencia Cidre-AranazHopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany; Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Shunya OhmuraHopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany; Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Thomas KirchnerInstitute of Pathology, Faculty of Medicine, LMU Munich, 80337 Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, 80337 Munich, Germany; German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Stefanie M HauckResearch Unit Protein Science and Metabolomics and Proteomics Core, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Eva ReischlHelmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Melissa GymrekDivision of Genetics, Department of Medicine, University of California, San Diego, San Diego, CA 92093, USA; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA 92093, USA.
Stefan M PfisterHopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany; Division of Pediatric Neuro-Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; Department of Pediatric Hematology & Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Konstantin StrauchInstitute of Medical Biometry, Epidemiology, and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany; Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, 81377 Munich, Germany.
Jan KosterDepartment of Oncogenomics, Amsterdam University Medical Centers (AUMC), 1105 Amsterdam, the Netherlands.
Olivier DelattreINSERM Unit 830 "Genetics and Biology of Cancers," Institut Curie Research Center, 75005 Paris, France.
Thomas G P GrünewaldMax-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, 80337 Munich, Germany; Hopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany; Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany. Electronic address: t.gruenewald@dkfz-heidelberg.de.
German Cancer Research Center · DEInserm · FRAmsterdam University Medical Centers · NLLudwig-Maximilians-Universität München · DECenter for Environmental Health · USHelmholtz Zentrum München · DEHospital Universitario La Paz · ESInstitut Curie · FRInstituto de Salud Carlos III · ESUniversity of San Diego · USZimmer Biomet (Netherlands) · NL

Funding

Systematic characterization of tandem repeat variants contributing to complex traitsR01HG010885 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Alon Goren, Melissa Gymrek · 2020 to 2026
$4.8M
NHGRI NIH HHS R01 HG010885
6 · The paper itself

Abstract

Ewing sarcoma (EwS) is characterized by EWSR1-ETS fusion transcription factors converting polymorphic GGAA microsatellites (mSats) into potent neo-enhancers. Although the paucity of additional mutations makes EwS a genuine model to study principles of cooperation between dominant fusion oncogenes and neo-enhancers, this is impeded by the limited number of well-characterized models. Here we present the Ewing Sarcoma Cell Line Atlas (ESCLA), comprising whole-genome, DNA methylation, transcriptome, proteome, and chromatin immunoprecipitation sequencing (ChIP-seq) data of 18 cell lines with inducible EWSR1-ETS knockdown. The ESCLA shows hundreds of EWSR1-ETS-targets, the nature of EWSR1-ETS-preferred GGAA mSats, and putative indirect modes of EWSR1-ETS-mediated gene regulation, converging in the duality of a specific but plastic EwS signature. We identify heterogeneously regulated EWSR1-ETS-targets as potential prognostic EwS biomarkers. Our freely available ESCLA (http://r2platform.com/escla/) is a rich resource for EwS research and highlights the power of comprehensive datasets to unravel principles of heterogeneous gene regulation by chimeric transcription factors.

Indexed as

Sarcoma, EwingCell LineHumansMultiomicsOncogenesTranscription FactorsTranscription FactorsChiP-seqCP: CancerenhancerEwing sarcomaEWSR1-ERGEWSR1-ETSEWSR1-FLI1microsatellitesmulti-omicspediatric sarcomatumor heterogeneity

Identifiers

PMID36476851
PMCPMC10333306
OpenAlexW4310750028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.