Evidence map›Paper›PMID 34488773›Full record

ReviewCancer cell international2021

STAT3 pathway as a molecular target for resveratrol in breast cancer treatment.

Zeynab Kohandel, Tahereh Farkhondeh, Michael Aschner, Ali Mohammad Pourbagher-Shahri, Saeed Samarghandian

Open access · goldAbstract readReview
In one paragraph

Review in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Melatonin and Breast Cancer: A Review Article.Chonnam medical journal · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 4 institutions in 2 countries.

Zeynab KohandelDepartment of Biology, Faculty of Sciences, University of Tehran, Tehran, Iran.
Tahereh FarkhondehCardiovascular Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Michael AschnerDepartment of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, USA.
Ali Mohammad Pourbagher-ShahriCardiovascular Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Saeed SamarghandianNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran. samarghandians1@nums.ac.ir.ORCID http://orcid.org/0000-0001-5461-9579
Birjand University of Medical Sciences · IRAlbert Einstein College of Medicine · USUniversity of Neyshabur · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signal transducer and activator of transcription 3 (STAT3) induces breast cancer malignancy. Recent clinical and preclinical studies have demonstrated an association between overexpressed and activated STAT3 and breast cancer progression, proliferation, metastasis, and chemoresistance. Resveratrol (RES), a naturally occurring phytoalexin, has demonstrated anti-cancer activity in several disease models. Furthermore, RES has also been shown to regulate the STAT3 signaling cascade via its anti-oxidant and anti-inflammatory effects. In the present review, we describe the STAT3 cascade signaling pathway and address the therapeutic targeting of STAT3 by RES as a tool to mitigate breast cancer.

Indexed as

Breast cancerMalignancySTAT3

Identifiers

PMID34488773
PMCPMC8422731
OpenAlexW3198504551

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.