Evidence map›Paper›PMID 28500896›Full record

ArticleNeoplasia (New York, N.Y.)2017

A MicroRNA/Ubiquitin Ligase Feedback Loop Regulates Slug-Mediated Invasion in Breast Cancer.

Rajesh Kumar Manne, Yashika Agrawal, Anil Bargale, Asha Patel, Debasish Paul, Neha Anilkumar Gupta, Srikanth Rapole, Vasudevan Seshadri, Deepa Subramanyam, Praveenkumar Shetty and 1 more

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Slug and E-Cadherin: Stealth Accomplices?Frontiers in molecular biosciences · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The SCFThe Journal of biological chemistry · 2018
    Article
  19. Review
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

11 authors at 2 institutions in 1 country.

Rajesh Kumar ManneNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Yashika AgrawalNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Anil BargaleDepartment of Biochemistry/Central Research Laboratory, SDM College of Medical Sciences & Hospital, Dharwad, Karnataka, India.
Asha PatelNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Debasish PaulNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Neha Anilkumar GuptaNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Srikanth RapoleNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Vasudevan SeshadriNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Deepa SubramanyamNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India.
Praveenkumar ShettyDepartment of Biochemistry/Central Research Laboratory, SDM College of Medical Sciences & Hospital, Dharwad, Karnataka, India.
Manas Kumar SantraNational Centre for Cell Science, Pune University Campus, Ganesh khind, Pune, 411 007, Maharashtra, India. Electronic address: manas@nccs.res.in.
National Centre for Cell Science · INSDM College of Medical Science and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transformation of a normal cell to cancer requires the derail of multiple pathways. Normal signaling in a cell is regulated at multiple stages by the presence of feedback loops, calibration of levels of proteins by their regulated turnover, and posttranscriptional regulation, to name a few. The tumor suppressor protein FBXO31 is a component of the SCF E3 ubiquitin ligase and is required to arrest cells at G1 following genotoxic stresses. Due to its growth-suppression activity, it is underexpressed in many cancers. However, the molecular mechanism underlying the translational regulation of FBXO31 remains unclear. Here we show that the oncogenic microRNAs miR-93 and miR-106a repress FBXO31, resulting in the upregulation of Slug, which is involved in epithelial-mesenchymal transition and cell invasion. FBXO31 targets and ubiquitylates Slug for proteasomal degradation. However, this mechanism is repressed in breast tumors where miR-93 and miR-106a are overexpressed. Our study further unravels an interesting mechanism whereby Slug drives the expression of miR-93 and miR-106a, thus establishing a positive feedback loop to maintain an invasive phenotype. Together, these results establish the presence of interplay between microRNAs and the ubiquitination machinery, which together regulate cancer cell invasion.

Indexed as

Breast NeoplasmsCarcinogenesisCell Line, TumorCell ProliferationEpithelial-Mesenchymal TransitionF-Box ProteinsFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasm InvasivenessSignal TransductionSnail Family Transcription FactorsTumor Suppressor ProteinsUbiquitinationF-Box ProteinsFBXO31 protein, humanMicroRNAsMIRN106 microRNA, humanMIRN93 microRNA, humanSNAI1 protein, humanSnail Family Transcription FactorsTumor Suppressor Proteins

Identifiers

PMID28500896
PMCPMC5429244
OpenAlexW2612202588

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.