Evidence map›Paper›PMID 40559886›Full record

ArticleToxins2025

Comparative Efficacy of Ribosome-Inactivating Protein-Containing Immunotoxins in 2D and 3D Models of Sarcoma.

Giulia Calafato, Massimo Bortolotti, Letizia Polito, Andrea Bolognesi

Abstract readComparative Study
In one paragraph

Article in Toxins, 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

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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

4 authors.

Giulia CalafatoIRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0003-0177-238X
Massimo BortolottiDepartment of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-9030-2237
Letizia PolitoDepartment of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-8051-4981
Andrea BolognesiDepartment of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-7497-4586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcomas are very complex and clinically challenging mesenchymal tumors. Although the standard therapeutic approach has improved the 5-year survival rate, many patients experience local relapses and/or distant metastases. To improve patient outcome, new strategies need to be investigated. Immunotoxins (ITs) based on rRNA N-glycosylases (also named ribosome-inactivating proteins, RIPs) are promising tools for cancer therapy because, by combining rRNA-glycosylase's high cytotoxicity with carrier selectivity, they can specifically eliminate target neoplastic cells. In the last few years, 3D models have been extensively used in cancer research, particularly for target-specific drug screening. This study aimed to evaluate the possibility of utilizing ribosome-inactivating protein (RIP)-containing ITs to selectively target TfR1-, EGFR1- and Her2-expressing sarcoma adherent cells (ACs), spheroids (SSs) and organoids (ORs). To compare Its' efficacy and ability to induce apoptosis, we performed dose-response viability and caspase 3/7 activation assays on rhabdomyosarcoma and osteosarcoma ACs, SSs and ORs treated with Tf-IT, αEGFR1-IT and αHer2-IT. Our results indicate that, compared to the corresponding unconjugated RIPs, all ITs showed increased cytotoxicity in sarcoma ACs. Despite the increased complexity characterizing 3D models, the higher IC

Indexed as

Antineoplastic AgentsImmunotoxinsRibosome Inactivating ProteinsSarcomaApoptosisCell Line, TumorCell SurvivalHumansSpheroids, CellularAntineoplastic AgentsImmunotoxinsRibosome Inactivating Proteinsimmunoconjugatesimmunotoxinsorganoidsribosome-inactivating proteinsrRNA N-glycosylasessarcomaspheroidstargeted therapy

Identifiers

PMID40559886
PMCPMC12197652

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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.