Evidence map›Paper›PMID 32850408›Full record

ReviewFrontiers in oncology2020

p28 Bacterial Peptide, as an Anticancer Agent.

Atieh Yaghoubi, Majid Khazaei, Amir Avan, Seyed Mahdi Hasanian, William C Cho, Saman Soleimanpour

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. The Production of Recombinant Azurin fromInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Cancer-Targeting Applications of Cell-Penetrating Peptides.International journal of molecular sciences · 2024
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Anticancer activity ofIranian journal of basic medical sciences · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article
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

6 authors at 2 institutions in 2 countries.

Atieh YaghoubiAntimicrobial Resistance Research Center, Bu-Ali Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Majid KhazaeiDepartment of Physiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Amir AvanMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Mahdi HasanianDepartment of Medical Biochemistry, Faculty of Medicine, Mashhad University of Medical, Sciences, Mashhad, Iran.
William C ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China.
Saman SoleimanpourAntimicrobial Resistance Research Center, Bu-Ali Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mashhad University of Medical Sciences · IRQueen Elizabeth Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains a major cause of morbidity and mortality irrespective of the type of conventional chemotherapy. Therefore, there is an urgent need for new and effective anticancer therapeutic agents. Bacterial proteins and their derivative peptides appear as a promising approach for cancer treatment. Several, including an amphipathic, α-helical, 28-amino acid peptide derived from azurin, a 128-amino acid copper-containing redox protein secreted from

Indexed as

azurin-p28bacterial peptidebacteriotherapycancerpseudomonas aeruginosa

Identifiers

PMID32850408
PMCPMC7424061
OpenAlexW3047154508

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.