Evidence map›Paper›PMID 30459476›Full record

ReviewNature reviews. Molecular cell biology2019

New insights into the mechanisms of epithelial-mesenchymal transition and implications for cancer.

Anushka Dongre, Robert A Weinberg

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,346 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,346citing 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

2,346 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Cell plasticity in cancer and therapy resistance.Experimental & molecular medicine · 2026
    Review
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  15. Proteogenomic Analysis of HDAC4 and HDAC5 in Uveal Melanoma.Molecular medicine (Cambridge, Mass.) · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2,286 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

2 authors.

Anushka DongreWhitehead Institute for Biomedical Research, Cambridge, MA, USA.
Robert A WeinbergWhitehead Institute for Biomedical Research, Cambridge, MA, USA. weinberg@wi.mit.edu.

Funding

Use of Organotypic and Mammary Gland Models to Investigate the Outcomes of ClonalP01CA080111 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI WEINBERG, ROBERT A · 1999 to 2018
$36.0M
NCI NIH HHS P01 CA080111
6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is a cellular programme that is known to be crucial for embryogenesis, wound healing and malignant progression. During EMT, cell-cell and cell-extracellular matrix interactions are remodelled, which leads to the detachment of epithelial cells from each other and the underlying basement membrane, and a new transcriptional programme is activated to promote the mesenchymal fate. In the context of neoplasias, EMT confers on cancer cells increased tumour-initiating and metastatic potential and a greater resistance to elimination by several therapeutic regimens. In this Review, we discuss recent findings on the mechanisms and roles of EMT in normal and neoplastic tissues, and the cell-intrinsic signals that sustain expression of this programme. We also highlight how EMT gives rise to a variety of intermediate cell states between the epithelial and the mesenchymal state, which could function as cancer stem cells. In addition, we describe the contributions of the tumour microenvironment in inducing EMT and the effects of EMT on the immunobiology of carcinomas.

Indexed as

AnimalsEpithelial-Mesenchymal TransitionExtracellular MatrixHumansNeoplasmsNeoplastic Stem CellsTumor Microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
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.