Evidence map›Paper›PMID 37476042›Full record

ArticleRSC advances2023

The effects of two cytotoxic gold(i) carbene compounds on the metabolism of A2780 ovarian cancer cells: mechanistic inferences through NMR analysis.

Veronica Ghini, Michele Mannelli, Lara Massai, Andrea Geri, Stefano Zineddu, Tania Gamberi, Luigi Messori, Paola Turano

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Veronica GhiniDepartment of Chemistry "Ugo Schiff", University of Florence Sesto Fiorentino 50019 Italy luigi.messori@unifi.it paola.turano@unifi.it.
Michele MannelliDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence Florence 50134 Italy.
Lara MassaiDepartment of Chemistry "Ugo Schiff", University of Florence Sesto Fiorentino 50019 Italy luigi.messori@unifi.it paola.turano@unifi.it.
Andrea GeriDepartment of Chemistry "Ugo Schiff", University of Florence Sesto Fiorentino 50019 Italy luigi.messori@unifi.it paola.turano@unifi.it.
Stefano ZinedduDepartment of Chemistry "Ugo Schiff", University of Florence Sesto Fiorentino 50019 Italy luigi.messori@unifi.it paola.turano@unifi.it.
Tania GamberiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence Florence 50134 Italy.ORCID https://orcid.org/0000-0003-1489-8934
Luigi MessoriDepartment of Chemistry "Ugo Schiff", University of Florence Sesto Fiorentino 50019 Italy luigi.messori@unifi.it paola.turano@unifi.it.ORCID https://orcid.org/0000-0002-9490-8014
Paola TuranoDepartment of Chemistry "Ugo Schiff", University of Florence Sesto Fiorentino 50019 Italy luigi.messori@unifi.it paola.turano@unifi.it.ORCID https://orcid.org/0000-0002-7683-8614
University of Florence · ITInteruniversity Consortium for Magnetic Resonance · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NMR metabolomics is a powerful tool to characterise the changes in cancer cell metabolism elicited by anticancer drugs. Here, the large metabolic alterations produced by two cytotoxic gold carbene compounds in A2780 ovarian cancer cells are described and discussed in comparison to auranofin, in the frame of the available mechanistic knowledge.

Identifiers

PMID37476042
PMCPMC10354608
OpenAlexW4384914509

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.