Evidence map›Paper›PMID 28544627›Full record

ReviewMolecular oncology2017

Epithelial-to-mesenchymal transition transcription factors in cancer-associated fibroblasts.

Josep Baulida

Open access · goldAbstract readReview
In one paragraph

Review in Molecular oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Unraveling the role of cancer-associated fibroblasts in colorectal cancer.World journal of gastrointestinal oncology · 2024
    Review
  10. Article
  11. Review
  12. Review
  13. Staphylococcal mastitis in dairy cows.Frontiers in veterinary science · 2024
    Review
  14. Review
  15. Article
  16. Transcription factors in fibroblast plasticity and CAF heterogeneity.Journal of experimental & clinical cancer research : CR · 2023
    Review
  17. Review
  18. Review
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Josep BaulidaPrograma de Recerca en Càncer, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain.
Hospital del Mar Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beyond inducing epithelial-to-mesenchymal transcription (EMT), transcriptional factors of the Snail, ZEB and Twist families (EMT-TFs) control global plasticity programmes affecting cell stemness and fate. Literature addressing the reactivation of these factors in adult tumour cells is very extensive, as they enable cancer cell plasticity and fuel both tumour initiation and metastatic spread. Incipient data reveal that EMT-TFs are also expressed in fibroblasts, providing these with additional properties. Here, I will review recent reports on the expression of EMT-TFs in cancer-associated fibroblasts (CAFs). The new model suggests that EMT-TFs can be envisioned as essential metastasis and chemoresistance-promoting molecules, thereby enabling coordinated plasticity programmes in parenchyma and stroma-tumour compartments.

Indexed as

Epithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticTumor MicroenvironmentAnimalsFibroblastsHumansNeoplasm ProteinsNeoplasmsTranscription FactorsNeoplasm ProteinsTranscription Factorscancer-associated fibroblastsepithelial-to-mesenchymal transition transcription factorsSnailtumour-stroma crosstalkTwistZEB

Identifiers

PMID28544627
PMCPMC5496490
OpenAlexW2619135413

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.