Evidence map›Paper›PMID 40670359›Full record

ArticleCell death discovery2025

The EIF4EBP1 gene encoding 4EBP1 is transcriptionally upregulated by MYC and linked to shorter survival in medulloblastoma.

Laura Hruby, Katerina Schaal, Alberto Delaidelli, Daniel Picard, Christopher Dunham, Oksana Lewandowska, Tobias Reiff, Magalie Larcher, Celio Pouponnot, Poul Hb Sorensen and 4 more

Abstract read
In one paragraph

Article in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Laura Hruby *Institute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Katerina Schaal *Department of Pediatric Oncology, Hematology, and Clinical Immunology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Alberto DelaidelliDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Daniel PicardInstitute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Christopher DunhamDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Oksana LewandowskaInstitute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Tobias ReiffInstitute of Genetics, Heinrich Heine University, Düsseldorf, Germany.ORCID http://orcid.org/0000-0001-6610-6148
Magalie LarcherInstitut Curie, Université Paris-Sud, Université Paris-Saclay, CNRS UMR 3347, INSERM U1021, Orsay, Paris, France.
Celio PouponnotInstitut Curie, Université Paris-Sud, Université Paris-Saclay, CNRS UMR 3347, INSERM U1021, Orsay, Paris, France.
Poul Hb SorensenDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Barak RotblatDepartment of Life Sciences, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID http://orcid.org/0000-0003-2985-7115
Guido ReifenbergerInstitute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Marc RemkeInstitute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Gabriel LeprivierInstitute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University, Düsseldorf, Germany. gabriel.leprivier@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0002-2299-8989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medulloblastoma (MB) is the most common malignant brain tumor in childhood and is stratified into four molecular groups ‒ Wingless and Int-1 (WNT), Sonic hedgehog (SHH), Group 3 and Group 4. Group 3 MB patients exhibit the poorest prognosis, with a 5-year overall survival of <60%, followed by Group 4 MB patients. Apart from MYC amplification in a subset of Group 3 MBs, the molecular pathomechanisms driving aggressiveness of these tumors remain incompletely characterized. The gene encoding the mTOR substrate and mRNA translation inhibitor eukaryotic translation initiation factor 4E-binding protein 1 (EIF4EBP1) represents a possible MYC target gene whose corresponding protein, 4EBP1, was shown to be more active in Group 3 versus Group 4 MBs. However, the prognostic role of 4EBP1 in MB and the mechanisms supporting 4EBP1 overexpression in Group 3 MB are still elusive. We analyzed EIF4EBP1 mRNA expression in publicly available data sets and found an upregulation in MB as compared to non-neoblastic brain. EIF4EBP1 mRNA expression levels were higher in Group 3 compared to Group 4 MBs. EIF4EBP1 mRNA expression was correlated with MYC expression, most prominently in Group 3 MBs. Survival analyses highlighted that high EIF4EBP1 mRNA expression was associated with reduced overall and event-free survival across all MB patients and in Group 3/Group 4 MB patients. Immunohistochemical evaluation of 4EBP1 protein expression in MB tissues confirmed that high levels of 4EBP1 are associated with poor outcome. Functional analyses revealed that MYC directly regulates EIF4EBP1 promoter activity, providing a mechanism for increased EIF4EBP1 mRNA levels in Group 3 MBs. Finally, we observed that 4EBP1 may support colony formation of in vitro cultured MB cells. Our data highlight that transcriptional upregulation of EIF4EBP1 by MYC promotes in vitro tumorigenicity of MB cells and associates with shorter survival of MB patients.

Identifiers

PMID40670359
PMCPMC12267489

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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.