Evidence map›Paper›PMID 41058673›Full record

ArticleRSC advances2025

Synthesis and biological evaluation of novel carnosic acid derivatives with anticancer activity.

Sara P S P Moura, Marta Cascante, Ismael Rufino, Rita C Guedes, Silvia Marin, Jorge A R Salvador

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Madecassic Acid-A New Scaffold for Highly Cytotoxic Agents.International journal of molecular sciences · 2022
    Article
  5. 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.

Sara P S P MouraLaboratory of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Coimbra 3000-548 Coimbra Portugal salvador@ci.uc.pt +351-239-488-479.ORCID https://orcid.org/0000-0001-5791-6528
Marta CascanteDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona 08028 Barcelona Spain silviamarin@ub.edu +34-934-9683.ORCID https://orcid.org/0000-0002-2062-4633
Ismael RufinoResearch Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, University of Lisbon 1649-003 Lisboa Portugal.
Rita C GuedesResearch Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, University of Lisbon 1649-003 Lisboa Portugal.ORCID https://orcid.org/0000-0002-5790-9181
Silvia MarinDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona 08028 Barcelona Spain silviamarin@ub.edu +34-934-9683.ORCID https://orcid.org/0000-0003-0693-2207
Jorge A R SalvadorLaboratory of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Coimbra 3000-548 Coimbra Portugal salvador@ci.uc.pt +351-239-488-479.ORCID https://orcid.org/0000-0003-0779-6083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel derivatives of carnosic acid 1 with ester or carbamate groups at C-20 and derivatives with these functional groups combined with benzylic modifications (C-7) were synthesized and evaluated in a colorectal cancer cell line (HCT116). Compound 8, which featured a butyl ester at C-20 and a carbonyl group at C-7, and compound 17, which featured a 2-methylpropyl carbamate at C-20, achieved the best results in HCT116 cells. Compounds 8 and 17 also demonstrated better ability to inhibit the growth of other cancer cell lines than CA 1. In general, the best results were achieved with compound 17, which exhibited higher potency against SW480 cells (IC

Identifiers

PMID41058673
PMCPMC12498136

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.