Evidence map›Paper›PMID 38182898›Full record

ArticleOncogene2024

Inhibition of the YAP-MMB interaction and targeting NEK2 as potential therapeutic strategies for YAP-driven cancers.

Marco Jessen, Dörthe Gertzmann, Franziska Liss, Franziska Zenk, Laura Bähner, Victoria Schöffler, Clemens Schulte, Hans Michael Maric, Carsten P Ade, Björn von Eyss and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Emerging Role of the DREAM Complex in Cancer and Therapeutic Opportunities.International journal of molecular sciences · 2025
    Review
  3. Role of NEK2 in tumorigenesis and tumor progression.Trends in molecular medicine · 2025
    Review
  4. Article
  5. 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

11 authors at 3 institutions in 1 country.

Marco Jessen *Theodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany.ORCID 0000-0001-5234-4786
Dörthe Gertzmann *Theodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany.
Franziska Liss *Theodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany.
Franziska ZenkTheodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany.
Laura BähnerTheodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany.
Victoria SchöfflerTheodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany.
Clemens SchulteRudolf Virchow Center for Experimental Biomedicine, University of Wuerzburg, 97080, Wuerzburg, Germany.ORCID 0000-0003-2362-3318
Hans Michael MaricRudolf Virchow Center for Experimental Biomedicine, University of Wuerzburg, 97080, Wuerzburg, Germany.ORCID 0000-0002-2719-4752
Carsten P AdeTheodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany.ORCID 0000-0001-7226-1179
Björn von EyssLeibniz Institute on Aging, Fritz Lipmann Institute e.V., Jena, 07745, Germany. Bjoern.vonEyss@leibniz-fli.de.ORCID 0000-0002-4731-6841
Stefan GaubatzTheodor Boveri Institute and Comprehensive Cancer Center Mainfranken, Biocenter University of Wuerzburg, Wuerzburg, 97074, Germany. stefan.gaubatz@uni-wuerzburg.de.ORCID 0000-0001-8751-4191
Comprehensive Cancer Center Mainfranken · DEUniversity of Würzburg · DELeibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) EY 120/4-1Deutsche Forschungsgemeinschaft (German Research Foundation) GA 575/10-1Deutsche Krebshilfe (German Cancer Aid) 70112811Deutsche Krebshilfe (German Cancer Aid) 70113138
6 · The paper itself

Abstract

YAP activation in cancer is linked to poor outcomes, making it an attractive therapeutic target. Previous research focused on blocking the interaction of YAP with TEAD transcription factors. Here, we took a different approach by disrupting YAP's binding to the transcription factor B-MYB using MY-COMP, a fragment of B-MYB containing the YAP binding domain fused to a nuclear localization signal. MY-COMP induced cell cycle defects, nuclear abnormalities, and polyploidization. In an AKT and YAP-driven liver cancer model, MY-COMP significantly reduced liver tumorigenesis, highlighting the importance of the YAP-B-MYB interaction in tumor development. MY-COMP also perturbed the cell cycle progression of YAP-dependent uveal melanoma cells but not of YAP-independent cutaneous melanoma cell lines. It counteracted YAP-dependent expression of MMB-regulated cell cycle genes, explaining the observed effects. We also identified NIMA-related kinase (NEK2) as a downstream target of YAP and B-MYB, promoting YAP-driven transformation by facilitating centrosome clustering and inhibiting multipolar mitosis.

Indexed as

MelanomaSkin NeoplasmsAdaptor Proteins, Signal TransducingCell Cycle ProteinsHumansNIMA-Related KinasesTrans-ActivatorsTranscription FactorsYAP-Signaling ProteinsAdaptor Proteins, Signal TransducingCell Cycle ProteinsMYBL2 protein, humanNEK2 protein, humanNIMA-Related KinasesTrans-ActivatorsTranscription FactorsYAP-Signaling Proteins

Identifiers

PMID38182898
PMCPMC10873197
OpenAlexW4390607555

What OpenQuestion 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 OpenQuestion graph.