Evidence map›Paper›PMID 40342581›Full record

ReviewFrontiers in medicine2025

Cationic antimicrobial peptides: potential templates for anticancer agents.

Yahson Fernando Varela-Quitián, Fabio Enrique Mendez-Rivera, David Andres Bernal-Estévez

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Immunobiological mechanisms of action of oncolytic peptides.Journal for immunotherapy of cancer · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

3 authors.

Yahson Fernando Varela-QuitiánImmunology and Clinical Oncology Research Group (GIIOC), Fundación Salud de Los Andes, Bogotá, Colombia.
Fabio Enrique Mendez-RiveraImmunology and Clinical Oncology Research Group (GIIOC), Fundación Salud de Los Andes, Bogotá, Colombia.
David Andres Bernal-EstévezImmunology and Clinical Oncology Research Group (GIIOC), Fundación Salud de Los Andes, Bogotá, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a major global health concern and one of the leading causes of death worldwide. According to the World Health Organization (WHO), there is an urgent need for novel therapeutic agents to treat this disease. Some antimicrobial peptides (AMPs) have demonstrated activity against both microbial pathogens and cancer cells. Among these, cationic AMPs (CAMPs) have garnered significant attention because of their ability to selectively interact with the negatively charged surfaces of cancer cell membranes. CAMPs present several advantages such as high specificity for targeting cancer cells, minimal toxicity to normal cells, reduced probability of inducing resistance, stability under physiological conditions, ease of chemical modification, and low production costs. This review focuses on CAMPs with anticancer properties such as KLA, bovine lactoferricin derivatives, and LTX-315, and briefly explores common bioinformatics tools for Anticancer Peptides (ACPs) selection pipeline from AMPs.

Indexed as

anticancer peptides (ACPs)cationic antimicrobial peptides (CAMPs)clinical translationcomputational peptide engineeringpeptide-based cancer therapeuticsproteolytic stability enhancementsynthetic peptide design

Identifiers

PMID40342581
PMCPMC12058764

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.