Evidence map›Paper›PMID 40385142›Full record

ReviewACS omega2025

Purine Scaffold in Agents for Cancer Treatment.

Zdeněk Wimmer

Abstract readReview
In one paragraph

Review in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Zdeněk WimmerUniversity of Chemistry and Technology in Prague, Department of Chemistry of Natural Compounds, Technická 5, CZ-16610 Prague 6, Czech Republic.ORCID https://orcid.org/0000-0002-4512-0116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer represents one of the most important and often fatal threats in the human population. Regarding the natural products, the purine scaffold appears in the purine bases in nucleic acids. Purine and its natural derivatives display a number of pharmacological effects. Previous investigations revealed that different compounds bearing the purine scaffold in their molecules belong to a group of potent agents for cancer treatment. Therefore, this review focuses on summarizing recently designed agents for potential cancer treatment bearing the purine scaffold as the key structural motif in the molecules. The reviewed structures clearly show the advantages and disadvantages of different substituents of the key scaffold that affect the final cytotoxic effects of the studied structures. The structure-activity relationship analysis shows a summary of different but potent compounds mentioned in this review and identifies the compounds receiving priority importance due to their high cytotoxicity and exceptional physicochemical characteristics. The effects of metal coordination, the formation of convenient conjugated molecules, and supramolecular self-assembly resulting in the production of biologically active nanovesicles and other nanoassemblies are also demonstrated. The reviewed original studies clearly showed the possible advantages of (a) metal ion coordination, (b) the formation of conjugates, and (c) designing smart and biocompatible nanoassemblies for biological activity in comparison with the characteristics of the parent compounds. This review is based on the most recent articles published in the last two years, 2023-2024, and it represents work with a highly interdisciplinary nature. Even if these original articles are not too numerous within the given period, the investigations published therein have clearly documented the importance of the purine scaffold in pharmacology and in medicinal and supramolecular chemistry.

Identifiers

PMID40385142
PMCPMC12079222

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Registered trials

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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.