Evidence map›Paper›PMID 36346808›Full record

ArticlePLoS computational biology2022

Network topology metrics explaining enrichment of hybrid epithelial/mesenchymal phenotypes in metastasis.

Mubasher Rashid, Kishore Hari, John Thampi, Nived Krishnan Santhosh, Mohit Kumar Jolly

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  8. Role of Ubiquitin-regulated EMT in Cancer Metastasis and Chemoresistance.International journal of biological sciences · 2025
    Review
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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

5 authors at 2 institutions in 1 country.

Mubasher RashidCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.ORCID 0000-0003-2790-6147
Kishore HariCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
John ThampiBS-MS Programme, Indian Institute of Science Education and Research, Pune, India.
Nived Krishnan SanthoshBS-MS Programme, Indian Institute of Science, Bangalore, India.ORCID 0000-0003-2879-9187
Mohit Kumar JollyCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.ORCID 0000-0002-6631-2109
Indian Institute of Science Bangalore · INIndian Institute of Science Education and Research Pune · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial to Mesenchymal Transition (EMT) and its reverse-Mesenchymal to Epithelial Transition (MET) are hallmarks of metastasis. Cancer cells use this reversible cellular programming to switch among Epithelial (E), Mesenchymal (M), and hybrid Epithelial/Mesenchymal (hybrid E/M) state(s) and seed tumors at distant sites. Hybrid E/M cells are often more aggressive and metastatic than the "pure" E and M cells. Thus, identifying mechanisms to inhibit hybrid E/M cells can be promising in curtailing metastasis. While multiple gene regulatory networks (GRNs) based mathematical models for EMT/MET have been developed recently, identifying topological signatures enriching hybrid E/M phenotypes remains to be done. Here, we investigate the dynamics of 13 different GRNs and report an interesting association between "hybridness" and the number of negative/positive feedback loops across the networks. While networks having more negative feedback loops favor hybrid phenotype(s), networks having more positive feedback loops (PFLs) or many HiLoops-specific combinations of PFLs, support terminal (E and M) phenotypes. We also establish a connection between "hybridness" and network-frustration by showing that hybrid phenotypes likely result from non-reinforcing interactions among network nodes (genes) and therefore tend to be more frustrated (less stable). Our analysis, thus, identifies network topology-based signatures that can give rise to, as well as prevent, the emergence of hybrid E/M phenotype in GRNs underlying EMP. Our results can have implications in terms of targeting specific interactions in GRNs as a potent way to restrict switching to the hybrid E/M phenotype(s) to curtail metastasis.

Indexed as

Epithelial-Mesenchymal TransitionNeoplasmsGene Regulatory NetworksHumansPhenotype

Identifiers

PMID36346808
PMCPMC9674141
OpenAlexW4308555765

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.