Evidence map›Paper›PMID 33572742›Full record

ReviewBiomolecules2021

Molecular Mechanisms of Epithelial to Mesenchymal Transition Regulated by ERK5 Signaling.

Akshita B Bhatt, Saloni Patel, Margarite D Matossian, Deniz A Ucar, Lucio Miele, Matthew E Burow, Patrick T Flaherty, Jane E Cavanaugh

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. MAPK ERK5 is a novel regulator of MHC-I in cancer cells.Cell communication and signaling : CCS · 2026
    Article
  3. Article
  4. VCAN Is Essential for ERK5-Driven Tumorigenesis in Soft Tissue Sarcoma.International journal of biological sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Investigation ofIn silico pharmacology · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. MAPKs in the early steps of senescence implemEMTation.Frontiers in cell and developmental biology · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. 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

8 authors at 3 institutions in 1 country.

Akshita B BhattDepartment of Pharmacology, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA.ORCID 0000-0002-4548-7727
Saloni PatelDepartment of Medicinal Chemistry, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA.
Margarite D MatossianDepartment of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Deniz A UcarDepartment of Genetics and Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Lucio MieleDepartment of Genetics and Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Matthew E BurowDepartment of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Patrick T FlahertyDepartment of Medicinal Chemistry, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA.
Jane E CavanaughDepartment of Pharmacology, School of Pharmacy, Duquesne University, Pittsburgh, PA 15282, USA.
Duquesne University · USLouisiana State University Health Sciences Center New Orleans · USTulane University · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Novel small molecule inhibitors of MEK5_ERK5 for the treatment of breast cancerR15CA176496 · NCI · DUQUESNE UNIVERSITY · PI CAVANAUGH, JANE E · 2014 to 2014
$394k
NIGMS NIH HHS U54 GM104940NIH HHS R15CA176496
6 · The paper itself

Abstract

Extracellular signal-regulated kinase (ERK5) is an essential regulator of cancer progression, tumor relapse, and poor patient survival. Epithelial to mesenchymal transition (EMT) is a complex oncogenic process, which drives cell invasion, stemness, and metastases. Activators of ERK5, including mitogen-activated protein kinase 5 (MEK5), tumor necrosis factor α (TNF-α), and transforming growth factor-β (TGF-β), are known to induce EMT and metastases in breast, lung, colorectal, and other cancers. Several downstream targets of the ERK5 pathway, such as myocyte-specific enhancer factor 2c (MEF2C), activator protein-1 (AP-1), focal adhesion kinase (FAK), and c-Myc, play a critical role in the regulation of EMT transcription factors SNAIL, SLUG, and β-catenin. Moreover, ERK5 activation increases the release of extracellular matrix metalloproteinases (MMPs), facilitating breakdown of the extracellular matrix (ECM) and local tumor invasion. Targeting the ERK5 signaling pathway using small molecule inhibitors, microRNAs, and knockdown approaches decreases EMT, cell invasion, and metastases via several mechanisms. The focus of the current review is to highlight the mechanisms which are known to mediate cancer EMT via ERK5 signaling. Several therapeutic approaches that can be undertaken to target the ERK5 pathway and inhibit or reverse EMT and metastases are discussed.

Indexed as

Epithelial-Mesenchymal TransitionMutationAnimalsCell AdhesionCytoskeletonDisease ProgressionExtracellular MatrixHumansMitogen-Activated Protein Kinase 7Neoplasm InvasivenessNeoplasm MetastasisNeoplasmsNeoplastic Stem CellsSignal TransductionTransforming Growth Factor betaTumor MicroenvironmentMAPK7 protein, humanMitogen-Activated Protein Kinase 7Transforming Growth Factor betaTumor Necrosis Factor-alphacancer metastasesEMTERK5therapy

Identifiers

PMID33572742
PMCPMC7911413
OpenAlexW3122933696

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.