Evidence map›Paper›PMID 35309510›Full record

ReviewFrontiers in molecular biosciences2022

Selective Targeting of Cancer Cells by Copper Ionophores: An Overview.

Valentina Oliveri

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
230citing papers in PubMed, 1 pooled it
31.1field-weighted citation impact, top 1% 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

230 citing papers in PubMed, 1 synthesis or guideline pooled it, 363 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Copper homeostasis networks in pseudomonas aeruginosa and the organocopper metabolite fluopsin C.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Copper, cuproptosis, and cancer: biology concepts of a novel cell death.Apoptosis : an international journal on programmed cell death · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Copper Complexes: Main Mechanisms as Anticancer Agents.Molecules (Basel, Switzerland) · 2026
    Review

170 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Valentina OliveriDipartimento di Scienze Chimiche, Università Degli Studi di Catania, Catania, Italy.
University of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional cancer therapies suffer from severe off-target effects because most of them target critical facets of cells that are generally shared by all rapidly proliferating cells. The development of new therapeutic agents should aim to increase selectivity and therefore reduce side effects. In addition, these agents should overcome cancer cell resistance and target cancer stem cells. Some copper ionophores have shown promise in this direction thanks to an intrinsic selectivity in preferentially inducing cuproptosis of cancer cells compared to normal cells. Here, Cu ionophores are discussed with a focus on selectivity towards cancer cells and on the mechanisms responsible for this selectivity. The proposed strategies, to further improve the targeting of cancer cells by copper ionophores, are also reported.

Indexed as

anticancerchemotherapeuticscopper ionophorescuproplasiacuproptosisprodrugROS

Identifiers

PMID35309510
PMCPMC8931543
OpenAlexW4214862149

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.