Evidence mapPaperPMID 28974015Full record

ReviewCancers2017

The Epithelial-to-Mesenchymal Transition in Breast Cancer: Focus on Basal-Like Carcinomas.

Monica Fedele, Laura Cerchia, Gennaro Chiappetta

Abstract readReview
In one paragraph

Review in Cancers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
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

85 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Article
  8. Curved Magnetic Hydrogels for Understanding Cancer Initiation.ACS applied materials & interfaces · 2025
    Article
  9. Article
  10. Article
  11. Melatonin and Breast Cancer: A Review Article.Chonnam medical journal · 2025
    Review
  12. Article
  13. Article
  14. Review
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  17. Article
  18. Review
  19. Article
  20. Review

25 more citing papers are in PubMed but not listed here.

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

3 authors.

Monica FedeleCNR-Institute of Experimental Endocrinology and Oncology, 80131 Naples, Italy. mfedele@unina.it.ORCID 0000-0002-9171-1312
Laura CerchiaCNR-Institute of Experimental Endocrinology and Oncology, 80131 Naples, Italy. cerchia@unina.it.
Gennaro ChiappettaDipartimento di Ricerca Traslazionale a Supporto dei Percorsi Oncologici, S.C. Genomica Funzionale, Istituto Nazionale Tumori-IRCCS-Fondazione G Pascale, 80131 Naples, Italy. chiappettagennaro@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease that is characterized by a high grade of cell plasticity arising from the contribution of a diverse range of factors. When combined, these factors allow a cancer cell to transition from an epithelial to a mesenchymal state through a process of dedifferentiation that confers stem-like features, including chemoresistance, as well as the capacity to migrate and invade. Understanding the complex events that lead to the acquisition of a mesenchymal phenotype will therefore help to design new therapies against metastatic breast cancer. Here, we recapitulate the main endogenous molecular signals involved in this process, and their cross-talk with paracrine factors. These signals and cross-talk include the extracellular matrix; the secretome of cancer-associated fibroblasts, macrophages, cancer stem cells, and cancer cells; and exosomes with their cargo of miRNAs. Finally, we highlight some of the more promising therapeutic perspectives based on counteracting the epithelial-to-mesenchymal transition in breast cancer cells.

Indexed as

breast cancerdifferentiation therapyEMTexosomesmiRNAsmolecular signalingTNBCtumor plasticityαvβ3

Identifiers

PMID28974015
PMCPMC5664073

What Socratic 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 Socratic graph.