Evidence map›Paper›PMID 27371671›Full record

ReviewCold Spring Harbor perspectives in medicine2016

MDMX (MDM4), a Promising Target for p53 Reactivation Therapy and Beyond.

Jean-Christophe Marine, Aart G Jochemsen

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  6. Pandora's Box of AML: HowBiomedicines · 2025
    Review
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  16. EBNA1 Upregulates P53-Inhibiting Genes in Burkitt's Lymphoma Cell Line.Reports of biochemistry & molecular biology · 2023
    Article
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  19. Review
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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

2 authors at 2 institutions in 2 countries.

Jean-Christophe MarineLaboratory for Molecular Cancer Biology, Center for the Biology of Disease, VIB, 3000 Leuven, Belgium Laboratory for Molecular Cancer Biology, Center of Human Genetics, KULeuven, 3000 Leuven, Belgium.
Aart G JochemsenDepartment of Molecular Cell Biology, Leiden University Medical Center, 2300 RA Leiden, The Netherlands.
Leiden University Medical Center · NLVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MDMX protein was identified as a p53-interacting protein with a strong similarity to MDM2. Like Mdm2, Mdmx expression is essential for curbing p53 activity during embryonic development, indicating nonredundant functions of Mdmx and Mdm2. There is now a large body of evidence indicating that cancers frequently up-regulate MDMX expression as a means to dampen p53 tumor-suppressor function. Importantly, MDMX also shows p53-independent oncogenic functions. These data make MDMX an attractive therapeutic target for cancer therapy. Here, we summarize the mechanisms used by cancer cells to increase MDMX expression and promising pharmacological strategies to target MDMX in cancer-in particular, the recent findings that antisense oligonucleotides (ASOs) can be used to efficiently modulate MDMX messenger RNA (mRNA) splicing.

Indexed as

AnimalsCell Line, TumorGene Expression Regulation, NeoplasticHumansMiceNeoplasmsOligonucleotides, AntisenseProto-Oncogene Proteins c-mdm2RNA, MessengerTumor Suppressor Protein p53Up-RegulationMDM2 protein, humanOligonucleotides, AntisenseProto-Oncogene Proteins c-mdm2RNA, MessengerTumor Suppressor Protein p53

Identifiers

PMID27371671
PMCPMC4930919
OpenAlexW2464525114

What OpenQuestion holds

Textmetadata
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.