Evidence map›Paper›PMID 36808651›Full record

ReviewCell proliferation2023

Heterogeneity and plasticity of epithelial-mesenchymal transition (EMT) in cancer metastasis: Focusing on partial EMT and regulatory mechanisms.

Dandan Li, Lingyun Xia, Pan Huang, Zidi Wang, Qiwei Guo, Congcong Huang, Weidong Leng, Shanshan Qin

Open access · goldAbstract readReview
In one paragraph

Review in Cell proliferation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
30.4field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 132 citations in OpenAlex.

  1. Article
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  7. Epithelial-Mesenchymal Transition, Immune Response, and Extracellular Matrix Remodelling in Oral Cancer.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
    Article
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43 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

8 authors at 1 institution in 1 country.

Dandan LiDepartment of Stomatology, Taihe Hospital and Hubei Key Laboratory of Embryonic Stem Cell Research, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.
Lingyun XiaDepartment of Stomatology, Taihe Hospital and Hubei Key Laboratory of Embryonic Stem Cell Research, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.
Pan HuangLaboratory of Tumor Biology, Academy of Bio-medicine Research, Hubei University of Medicine, Shiyan, China.
Zidi WangLaboratory of Tumor Biology, Academy of Bio-medicine Research, Hubei University of Medicine, Shiyan, China.
Qiwei GuoLaboratory of Tumor Biology, Academy of Bio-medicine Research, Hubei University of Medicine, Shiyan, China.
Congcong HuangLaboratory of Tumor Biology, Academy of Bio-medicine Research, Hubei University of Medicine, Shiyan, China.
Weidong LengDepartment of Stomatology, Taihe Hospital and Hubei Key Laboratory of Embryonic Stem Cell Research, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.
Shanshan QinDepartment of Stomatology, Taihe Hospital and Hubei Key Laboratory of Embryonic Stem Cell Research, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, China.ORCID https://orcid.org/0000-0002-8527-5278
Hubei University of Medicine · CN

Funding

National Natural Science Foundation of China 81802375National Natural Science Foundation of China 82203829National Natural Science Foundation of China 82273451Natural Science Foundation of Hubei Province 2022CFB448Natural Science Foundation of Hubei Province 2022CFB911
6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) or mesenchymal-epithelial transition (MET) plays critical roles in cancer metastasis. Recent studies, especially those based on single-cell sequencing, have revealed that EMT is not a binary process, but a heterogeneous and dynamic disposition with intermediary or partial EMT states. Multiple double-negative feedback loops involved by EMT-related transcription factors (EMT-TFs) have been identified. These feedback loops between EMT drivers and MET drivers finely regulate the EMT transition state of the cell. In this review, the general characteristics, biomarkers and molecular mechanisms of different EMT transition states were summarized. We additionally discussed the direct and indirect roles of EMT transition state in tumour metastasis. More importantly, this article provides direct evidence that the heterogeneity of EMT is closely related to the poor prognosis in gastric cancer. Notably, a seesaw model was proposed to explain how tumour cells regulate themselves to remain in specific EMT transition states, including epithelial state, hybrid/intermediate state and mesenchymal state. Additionally, this article also provides a review of the current status, limitations and future perspectives of EMT signalling in clinical applications.

Indexed as

Epithelial-Mesenchymal TransitionStomach NeoplasmsCell DifferentiationHumansNeoplasm MetastasisSignal TransductionTranscription FactorsTranscription Factors

Identifiers

PMID36808651
PMCPMC10280150
OpenAlexW4321376284

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.