Evidence map›Paper›PMID 40574017›Full record

ArticlePharmaceutics2025

Evaluation of Antitumoral Activity in a 3D Cell Model of a Src Inhibitor Prodrug for Glioblastoma Treatment.

Letizia Clementi, Federica Poggialini, Francesca Musumeci, Julia Taglienti, Emanuele Cornacchia, Chiara Vagaggini, Anna Carbone, Giancarlo Grossi, Elena Dreassi, Adriano Angelucci and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Letizia ClementiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.ORCID 0009-0006-7455-8068
Federica PoggialiniDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.ORCID 0000-0002-8225-4631
Francesca MusumeciDepartment of Pharmacy, University of Genoa, Viale Benedetto XV, 3, 16132 Genoa, Italy.ORCID 0000-0002-7228-0086
Julia TaglientiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.
Emanuele CornacchiaDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.ORCID 0009-0005-8835-7788
Chiara VagagginiDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.ORCID 0000-0002-4208-7760
Anna CarboneDepartment of Pharmacy, University of Genoa, Viale Benedetto XV, 3, 16132 Genoa, Italy.ORCID 0000-0002-6767-2376
Giancarlo GrossiDepartment of Pharmacy, University of Genoa, Viale Benedetto XV, 3, 16132 Genoa, Italy.ORCID 0000-0001-8586-004X
Elena DreassiDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.ORCID 0000-0001-8987-940X
Adriano AngelucciDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio, 67100 L'Aquila, Italy.ORCID 0000-0002-8755-1889
Silvia SchenoneDepartment of Pharmacy, University of Genoa, Viale Benedetto XV, 3, 16132 Genoa, Italy.

Funding

Italian Association for Cancer Research GrantIG-2019, project code 23725, PI Silvia SchenoneUniversity of L'Aquila Bando di Ateneo-avvio alla ricerca, PI Letizia Clementi
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

anticancer therapybioprintpyrazolo[3,4-d]pyrimidinestargeted therapytyrosine kinase

Identifiers

PMID40574017
PMCPMC12195707

What OpenQuestion holds

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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.