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Cited by 654

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Inflammation and EMT: an alliance towards organ fibrosis and cancer progression

Open access
López‐Novoa, Jose Miguel, Nieto, M. Angela·2009·EMBO Molecular Medicine

Abstract

Recent advances in our understanding of the molecular pathways that govern the association of inflammation with organ fibrosis and cancer point to the epithelial to mesenchymal transition (EMT) as the common link in the progression of these devastating diseases. The EMT is a crucial process in the development of different tissues in the embryo and its reactivation in the adult may be regarded as a physiological attempt to control inflammatory responses and to 'heal' damaged tissue. However, in pathological contexts such as in tumours or during the development of organ fibrosis, this healing response adopts a sinister nature, steering these diseases towards metastasis and organ failure. Importantly, the chronic inflammatory microenvironment common to fibrotic and cancer cells emerges as a decisive factor in the induction of the pathological EMT.

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Crossref · 10.1002/emmm.200900043

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Metadata

Authors
López‐Novoa, J. M., & Nieto, M. A.
Venue
EMBO Molecular Medicine
Published
2009-09
Volume
1
Issue
6-7
Pages
303-314
ISSN
  • 1757-4676 (ISSN-L)
  • 1757-4684
OpenAlex
W2145002455
Cited by
654
References
10
FWCI
16.26
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Inflammation and EMT: an alliance towards organ fibrosis and cancer progression. https://app.cochat.ai/papers/10.1002/emmm.200900043
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López‐Novoa, J. M., & Nieto, M. A. (2009). Inflammation and EMT: an alliance towards organ fibrosis and cancer progression. EMBO Molecular Medicine. https://doi.org/10.1002/emmm.200900043

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.