Evidence map›Paper›PMID 40677727›Full record

ArticleMolecular therapy. Nucleic acids2025

A multiscale physiologically based pharmacokinetic model to support mRNA-encoded BiTE therapy in cancer treatment.

Giada Fiandaca, Elio Campanile, Lorena Leonardelli, Elisa Pettinà, Stefano Giampiccolo, Elizabeth J Carstens, Lorenzo Dasti, Natascia Zangani, Luca Marchetti

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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

9 authors.

Giada FiandacaDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Elio CampanileFondazione the Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy.
Lorena LeonardelliFondazione the Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy.
Elisa PettinàDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Stefano GiampiccoloFondazione the Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy.
Elizabeth J CarstensDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Lorenzo DastiDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Natascia ZanganiDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Luca MarchettiDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of cancer therapy, bispecific T cell engagers (BiTEs) have demonstrated significant potential. However, their clinical application is constrained by challenges in production and limited plasma half-life.

Indexed as

bispecific antibodiesbispecific T cell engagersBiTEcancerlipid nanoparticlesmRNAmRNA therapeuticsMT: Bioinformaticsnucleic acid deliveryPBPK modelingphysiologically based pharmacokinetic modeling

Identifiers

PMID40677727
PMCPMC12269393

What OpenQuestion holds

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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.