Evidence map›Paper›PMID 28441707›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2017

Fentanyl Inhibits Tumorigenesis from Human Breast Stem Cells by Inducing Apoptosis

Nadir Kocak, Filiz Ozen, Ibrahim Halil Yildirim, Yagmur Duran

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Evaluation of the Effects of Opium on the Expression ofBladder cancer (Amsterdam, Netherlands) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Breast Cancer and Anaesthesia: Genetic Influence.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Insights into the Roles of Midazolam in Cancer Therapy.Evidence-based complementary and alternative medicine : eCAM · 2017
    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

4 authors at 2 institutions in 1 country.

Nadir KocakSelcuk University, Faculty of Medicine, Department of Medical Genetics, Konya, Turkey. Email: dr.fozen@hotmail.com
Filiz Ozen
Ibrahim Halil Yildirim
Yagmur Duran
Dicle University · TRSelçuk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fentanyl is an opioid analgesic that it is widely used in cancer patients. Since there have been reports of effects of analgesic medications on the recurrence and development of resistance to treatment, influences of of fentanyl on MCF-7 and HEK293 cells were evaluated. Cell viability and apoptosis were assessed by MTT assay and flow cytometry, respectively. Gene expression analysis was performed by quantitative real-time PCR assay for the Oct4, Sox2 and Nanog genes as stem cell markers and Bax, Bcl2, and p53 genes as apoptosis markers. MTT assay results showed that fentanyl significantly inhibited the growth of MCF-7 cells in a dose-and time-dependent manner while significantly increasing apoptosis. In contrast, decrease was noted in HEK-293 cells. In MCF-7 derived cancer stem cells, fentanyl treatment decreased the expression of Bax, Bcl2, Oct4, Sox2, Nanog genes when compared to untreated cells. In HEK-293 stem cells, decrease was noted for Sox2, Nanog and Bax, but increase for Oct4. Our study supports an antitumor role of fentanyl by inducing apoptosis and reducing numbers of cancer stem cells in the MCF-7 human breast adenocarcinoma line.

Indexed as

Fentanylstem cell markersTumorigenesis

Identifiers

PMID28441707
PMCPMC5464492
OpenAlexW2613071562

What OpenQuestion holds

Textmetadata
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.