Evidence map›Paper›PMID 29795022›Full record

ReviewInternational journal of molecular sciences2018

Signaling Crosstalk of TGF-β/ALK5 and PAR2/PAR1: A Complex Regulatory Network Controlling Fibrosis and Cancer.

Hendrik Ungefroren, Frank Gieseler, Roland Kaufmann, Utz Settmacher, Hendrik Lehnert, Bernhard H Rauch

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.0field-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

31 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Article
  3. Enhanced antitumor efficacy of combined targeting of adenosine ACancer immunology, immunotherapy : CII · 2026
    Article
  4. Article
  5. Imaging methods to monitor and quantify cell differentiation.Frontiers in cell and developmental biology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Diversification of PAR signaling through receptor crosstalk.Cellular & molecular biology letters · 2022
    Review
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Hendrik UngefrorenFirst Department of Medicine, University Hospital Schleswig-Holstein, D-23538 Lübeck, Germany. hendrik.ungefroren@uksh.de.
Frank GieselerFirst Department of Medicine, University Hospital Schleswig-Holstein, D-23538 Lübeck, Germany. frank.gieseler@uksh.de.ORCID 0000-0001-6409-3822
Roland KaufmannDepartment of General, Visceral and Vascular Surgery, Jena University Hospital, D-07747 Jena, Germany. Roland.Kaufmann@med.uni-jena.de.
Utz SettmacherDepartment of General, Visceral and Vascular Surgery, Jena University Hospital, D-07747 Jena, Germany. Utz.Settmacher@med.uni-jena.de.
Hendrik LehnertFirst Department of Medicine, University Hospital Schleswig-Holstein, D-23538 Lübeck, Germany. Hendrik.Lehnert@uni-luebeck.de.
Bernhard H RauchDepartment of General Pharmacology, Institute of Pharmacology, University Medicine Greifswald, D-17487 Greifswald, Germany. Bernhard.Rauch@uni-greifswald.de.ORCID 0000-0002-6003-4662
University Hospital Schleswig-Holstein · DEJena University Hospital · DEUniversitätsmedizin Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both signaling by transforming growth factor-β (TGF-β) and agonists of the G Protein-coupled receptors proteinase-activated receptor-1 (PAR1) and -2 (PAR2) have been linked to tissue fibrosis and cancer. Intriguingly, TGF-β and PAR signaling either converge on the regulation of certain matrix genes overexpressed in these pathologies or display mutual regulation of their signaling components, which is mediated in part through sphingosine kinases and sphingosine-1-phosphate and indicative of an intimate signaling crosstalk between the two pathways. In the first part of this review, we summarize the various regulatory interactions that have been discovered so far according to the organ/tissue in which they were described. In the second part, we highlight the types of signaling crosstalk between TGF-β on the one hand and PAR2/PAR1 on the other hand. Both ligand⁻receptor systems interact at various levels and by several mechanisms including mutual regulation of ligand⁻ligand, ligand⁻receptor, and receptor⁻receptor at the transcriptional, post-transcriptional, and receptor transactivation levels. These mutual interactions between PAR2/PAR1 and TGF-β signaling components eventually result in feed-forward loops/vicious cycles of matrix deposition and malignant traits that exacerbate fibrosis and oncogenesis, respectively. Given the crucial role of PAR2 and PAR1 in controlling TGF-β receptor activation, signaling, TGF-β synthesis and bioactivation, combining PAR inhibitors with TGF-β blocking agents may turn out to be more efficient than targeting TGF-β alone in alleviating unwanted TGF-β-dependent responses but retaining the beneficial ones.

Indexed as

Signal TransductionAnimalsHumansKidneyLiver CirrhosisLungNeoplasmsProtein Serine-Threonine KinasesReceptor, PAR-1Receptor, PAR-2Receptors, Transforming Growth Factor betaReceptor, Transforming Growth Factor-beta Type ITransforming Growth Factor betaProtein Serine-Threonine KinasesReceptor, PAR-1Receptor, PAR-2Receptors, Transforming Growth Factor betaReceptor, Transforming Growth Factor-beta Type ITGFBR1 protein, humanTransforming Growth Factor betaALK5cancerfibrosisPAR1PAR2serine proteinasessignalingTGF-β

Identifiers

PMID29795022
PMCPMC6032192
OpenAlexW2804895721

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.