Evidence map›Paper›PMID 28137273›Full record

ArticleMolecular cancer2017

Quercetin-induced miR-200b-3p regulates the mode of self-renewing divisions in pancreatic cancer.

Clifford C Nwaeburu, Alia Abukiwan, Zhefu Zhao, Ingrid Herr

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Molecular cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

59 citing papers in PubMed, 114 citations in OpenAlex.

  1. Drought Stress Mediated Changes in Food Crops: Mechanisms and Remediation Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. [Therapeutic mechanism of aqueous extract ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Pancreatic cancer stemness: dynamic status in malignant progression.Journal of experimental & clinical cancer research : CR · 2023
    Review
  16. Recent advances in targeted therapy for pancreatic adenocarcinoma.World journal of gastrointestinal oncology · 2023
    Review
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Clifford C NwaeburuDepartment of General, Molecular OncoSurgery, Section Surgical Research, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 365, 69120, Heidelberg, Germany.
Alia AbukiwanDepartment of General, Molecular OncoSurgery, Section Surgical Research, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 365, 69120, Heidelberg, Germany.
Zhefu ZhaoDepartment of General, Molecular OncoSurgery, Section Surgical Research, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 365, 69120, Heidelberg, Germany.
Ingrid HerrDepartment of General, Molecular OncoSurgery, Section Surgical Research, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 365, 69120, Heidelberg, Germany. i.herr@uni-heidelberg.de.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer stem cells are suggested to contribute to the extremely poor prognosis of pancreatic ductal adenocarcinoma and dysregulation of symmetric and asymmetric stem cell division may be involved. Anticancer benefits of phytochemicals like the polyphenol quercetin, present in many fruits, nuts and vegetables, could be expedited by microRNAs, which orchestrate cell-fate decisions and tissue homeostasis. The mechanisms regulating the division mode of cancer stem cells in relation to phytochemical-induced microRNAs are poorly understood.

methodsPatient-derived pancreas tissue and 3 established pancreatic cancer cell lines were examined by immunofluorescence and time-lapse microscopy, microRNA microarray analysis, bioinformatics and computational analysis, qRT-PCR, Western blot analysis, self-renewal and differentiation assays.

resultsWe show that symmetric and asymmetric division occurred in patient tissues and in vitro, whereas symmetric divisions were more extensive. By microarray analysis, bioinformatics prediction and qRT-PCR, we identified and validated quercetin-induced microRNAs involved in Notch signaling/cell-fate determination. Further computational analysis distinguished miR-200b-3p as strong candidate for cell-fate determinant. Mechanistically, miR-200b-3p switched symmetric to asymmetric cell division by reversing the Notch/Numb ratio, inhibition of the self-renewal and activation of the potential to differentiate to adipocytes, osteocytes and chondrocytes. Low miR-200b-3p levels fostered Notch signaling and promoted daughter cells to become symmetric while high miR-200b-3p levels lessened Notch signaling and promoted daughter cells to become asymmetric.

conclusionsOur findings provide a better understanding of the cross talk between phytochemicals, microRNAs and Notch signaling in the regulation of self-renewing cancer stem cell divisions.

Indexed as

Antineoplastic Agents, PhytogenicCell DifferentiationCell DivisionCell Line, TumorCell ProliferationCell Self RenewalCell SurvivalDrug Screening Assays, AntitumorGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplastic Stem CellsPancreatic NeoplasmsQuercetinUp-RegulationAntineoplastic Agents, PhytogenicMicroRNAsMIRN200 microRNA, humanQuercetin

Identifiers

PMID28137273
PMCPMC5282715
OpenAlexW2582113844

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.