Evidence map›Paper›PMID 32676163›Full record

ArticleOncotarget2020

Epigenetic feedback and stochastic partitioning during cell division can drive resistance to EMT.

Wen Jia, Shubham Tripathi, Priyanka Chakraborty, Adithya Chedere, Annapoorni Rangarajan, Herbert Levine, Mohit Kumar Jolly

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. How cancer arises: Genetics releases, plasticity creates, genetics stabilizes.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  2. Review
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  7. Epigenetic factor competition reshapes the EMT landscape.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  8. Article
  9. Review
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  11. Review
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  13. Volumetric compression develops noise-driven single-cell heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

7 authors at 3 institutions in 2 countries.

Wen JiaCenter for Theoretical Biological Physics, Rice University, Houston, TX, USA.
Shubham TripathiCenter for Theoretical Biological Physics, Rice University, Houston, TX, USA.
Priyanka ChakrabortyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Adithya ChedereDepartment of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, India.
Annapoorni RangarajanCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Herbert LevineCenter for Theoretical Biological Physics, Rice University, Houston, TX, USA.
Mohit Kumar JollyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Indian Institute of Science Bangalore · INNortheastern University · USRice University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) and its reverse process mesenchymal-epithelial transition (MET) are central to metastatic aggressiveness and therapy resistance in solid tumors. While molecular determinants of both processes have been extensively characterized, the heterogeneity in the response of tumor cells to EMT and MET inducers has come into focus recently, and has been implicated in the failure of anti-cancer therapies. Recent experimental studies have shown that some cells can undergo an irreversible EMT depending on the duration of exposure to EMT-inducing signals. While the irreversibility of MET, or equivalently, resistance to EMT, has not been studied in as much detail, evidence supporting such behavior is slowly emerging. Here, we identify two possible mechanisms that can underlie resistance of cells to undergo EMT: epigenetic feedback in ZEB1/GRHL2 feedback loop and stochastic partitioning of biomolecules during cell division. Identifying the ZEB1/GRHL2 axis as a key determinant of epithelial-mesenchymal plasticity across many cancer types, we use mechanistic mathematical models to show how GRHL2 can be involved in both the abovementioned processes, thus driving an irreversible MET. Our study highlights how an isogenic population may contain subpopulation with varying degrees of susceptibility or resistance to EMT, and proposes a next set of questions for detailed experimental studies characterizing the irreversibility of MET/resistance to EMT.

Indexed as

asymmetric cell divisionepigeneticsepithelial-mesenchymal transitionGRHL2mesenchymal-epithelial transition

Identifiers

PMID32676163
PMCPMC7343638
OpenAlexW3042201165

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.