Evidence map›Paper›PMID 38791246›Full record

ArticleInternational journal of molecular sciences2024

MEF2D Functions as a Tumor Suppressor in Breast Cancer.

Xiaoxia Wang, He Shen, Yanmin Chen, Yali Zhang, Jianmin Wang, Song Liu, Bo Xu, Hai Wang, Costa Frangou, Jianmin Zhang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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
–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

2 citing papers in PubMed.

  1. 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

10 authors.

Xiaoxia WangDepartment of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
He ShenDepartment of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Yanmin ChenDepartment of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Yali ZhangDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Jianmin WangDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Song LiuDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Bo XuDepartment of Pathology, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Hai WangDepartment of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Costa FrangouDepartment of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.
Jianmin ZhangDepartment of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA.ORCID 0000-0001-7844-6254

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Immuno-Oncology Translation Network: Data Management and Resource-Sharing Center at RPCIU24CA232979 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI HUTSON, ALAN DAVID, LIU, SONG · 2018 to 2024
$8.9M
YAP1 and RB1 cooperate to regulate lung cancer lineage plasticity and therapeutic resistanceU24CA274159 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI DAVID W. GOODRICH, Alan David Hutson · 2022 to 2026
$8.5M
TAZ-driven Regulation of Tumor Microenvironment in Triple-Negative Breast CancerR03CA286634 · NCI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI ZHANG, JIANMIN · 2024 to 2025
$165k
NCI NIH HHS CA016056NCI NIH HHS CA232979NCI NIH HHS CA274159NCI NIH HHS CA286634NCI NIH HHS P30 CA016056NCI NIH HHS R03 CA286634NCI NIH HHS U24 CA232979NCI NIH HHS U24 CA274159
6 · The paper itself

Abstract

The myocyte enhancer factor 2 (MEF2) gene family play fundamental roles in the genetic programs that control cell differentiation, morphogenesis, proliferation, and survival in a wide range of cell types. More recently, these genes have also been implicated as drivers of carcinogenesis, by acting as oncogenes or tumor suppressors depending on the biological context. Nonetheless, the molecular programs they regulate and their roles in tumor development and progression remain incompletely understood. The present study evaluated whether the MEF2D transcription factor functions as a tumor suppressor in breast cancer. The knockout of the MEF2D gene in mouse mammary epithelial cells resulted in phenotypic changes characteristic of neoplastic transformation. These changes included enhanced cell proliferation, a loss of contact inhibition, and anchorage-independent growth in soft agar, as well as the capacity for tumor development in mice. Mechanistically, the knockout of MEF2D induced the epithelial-to-mesenchymal transition (EMT) and activated several oncogenic signaling pathways, including AKT, ERK, and Hippo-YAP. Correspondingly, a reduced expression of MEF2D was observed in human triple-negative breast cancer cell lines, and a low MEF2D expression in tissue samples was found to be correlated with a worse overall survival and relapse-free survival in breast cancer patients. MEF2D may, thus, be a putative tumor suppressor, acting through selective gene regulatory programs that have clinical and therapeutic significance.

Indexed as

Breast NeoplasmsCell ProliferationEpithelial-Mesenchymal TransitionMEF2 Transcription FactorsAnimalsCell Line, TumorFemaleGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansMiceSignal TransductionMEF2D protein, humanMEF2 Transcription Factorsbreast cancercellular transformationMEF2DRNA-seqtumor suppressor

Identifiers

PMID38791246
PMCPMC11121549

What OpenQuestion holds

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LicenceCC BY
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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.