Evidence map›Paper›PMID 37446406›Full record

ReviewInternational journal of molecular sciences2023

AB Toxins as High-Affinity Ligands for Cell Targeting in Cancer Therapy.

Ana Márquez-López, Mónica L Fanarraga

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Sequence-Independent RNA Sensing in Living Mammalian Cells.bioRxiv : the preprint server for biology · 2025
    Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Special Issue "Bacterial Toxins and Cancer".International journal of molecular sciences · 2024
    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

2 authors.

Ana Márquez-LópezThe Nanomedicine Group, Institute Valdecilla-IDIVAL, 39011 Santander, Spain.
Mónica L FanarragaThe Nanomedicine Group, Institute Valdecilla-IDIVAL, 39011 Santander, Spain.ORCID 0000-0003-4754-311X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional targeted therapies for the treatment of cancer have limitations, including the development of acquired resistance. However, novel alternatives have emerged in the form of targeted therapies based on AB toxins. These biotoxins are a diverse group of highly poisonous molecules that show a nanomolar affinity for their target cell receptors, making them an invaluable source of ligands for biomedical applications. Bacterial AB toxins, in particular, are modular proteins that can be genetically engineered to develop high-affinity therapeutic compounds. These toxins consist of two distinct domains: a catalytically active domain and an innocuous domain that acts as a ligand, directing the catalytic domain to the target cells. Interestingly, many tumor cells show receptors on the surface that are recognized by AB toxins, making these high-affinity proteins promising tools for developing new methods for targeting anticancer therapies. Here we describe the structure and mechanisms of action of Diphtheria (Dtx), Anthrax (Atx), Shiga (Stx), and Cholera (Ctx) toxins, and review the potential uses of AB toxins in cancer therapy. We also discuss the main advances in this field, some successful results, and, finally, the possible development of innovative and precise applications in oncology based on engineered recombinant AB toxins.

Indexed as

Bacterial ToxinsNeoplasmsHumansLigandsReceptors, Cell SurfaceBacterial ToxinsLigandsReceptors, Cell Surfacebacterial AB toxinscoated pitsdrug deliveryhigh-affinityimaging agentsneovasculaturereceptorstargeted therapiestranslocation

Identifiers

PMID37446406
PMCPMC10343017

What Socratic 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 Socratic graph.