Evidence map›Paper›PMID 34680284›Full record

ArticleCancers2021

KLF4 Induces Mesenchymal-Epithelial Transition (MET) by Suppressing Multiple EMT-Inducing Transcription Factors.

Ayalur Raghu Subbalakshmi, Sarthak Sahoo, Isabelle McMullen, Aaditya Narayan Saxena, Sudhanva Kalasapura Venugopal, Jason A Somarelli, Mohit Kumar Jolly

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 37 citations in OpenAlex.

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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.

Ayalur Raghu SubbalakshmiCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-3719-7789
Sarthak SahooCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-7771-5894
Isabelle McMullenDepartment of Medicine, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-7359-567X
Aaditya Narayan SaxenaDepartment of Biotechnology, Indian Institute of Technology, Kharagpur 721302, India.
Sudhanva Kalasapura VenugopalCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.
Jason A SomarelliDepartment of Medicine, Duke University, Durham, NC 27708, USA.ORCID 0000-0003-1510-9343
Mohit Kumar JollyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-6631-2109
Indian Institute of Science Bangalore · INDuke University · USIndian Institute of Technology Kharagpur · IN

Funding

Targeting convergent oncogenic signaling during AR inhibition to overcome metastasis and immune evasion in prostate cancerR01CA233585 · NCI · DUKE UNIVERSITY · PI ARMSTRONG, ANDREW J · 2019 to 2023
$2.2M
National Cancer Institute 1R01CA233585-03Science and Engineering Research Board SB/S2/RJN-049/2018U.S. Department of Defense W81XWH-18-1-0189
6 · The paper itself

Abstract

Epithelial-Mesenchymal Plasticity (EMP) refers to reversible dynamic processes where cells can transition from epithelial to mesenchymal (EMT) or from mesenchymal to epithelial (MET) phenotypes. Both these processes are modulated by multiple transcription factors acting in concert. While EMT-inducing transcription factors (TFs)-TWIST1/2, ZEB1/2, SNAIL1/2/3, GSC, and FOXC2-are well-characterized, the MET-inducing TFs are relatively poorly understood (OVOL1/2 and GRHL1/2). Here, using mechanism-based mathematical modeling, we show that transcription factor KLF4 can delay the onset of EMT by suppressing multiple EMT-TFs. Our simulations suggest that KLF4 overexpression can promote a phenotypic shift toward a more epithelial state, an observation suggested by the negative correlation of KLF4 with EMT-TFs and with transcriptomic-based EMT scoring metrics in cancer cell lines. We also show that the influence of KLF4 in modulating the EMT dynamics can be strengthened by its ability to inhibit cell-state transitions at the epigenetic level. Thus, KLF4 can inhibit EMT through multiple parallel paths and can act as a putative MET-TF. KLF4 associates with the patient survival metrics across multiple cancers in a context-specific manner, highlighting the complex association of EMP with patient survival.

Indexed as

epigeneticsEpithelial–Mesenchymal Plasticity (EMP)KLF4mathematical modelingMesenchymal–Epithelial Transition (MET)

Identifiers

PMID34680284
PMCPMC8533753
OpenAlexW3205912025

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.