Evidence map›Paper›PMID 39967849›Full record

ArticleMolecular therapy. Nucleic acids2025

Transcriptomic analysis of the immune response to

Mariangela De Robertis, Tim Bozic, Iva Santek, Flaviana Marzano, Bostjan Markelc, Domenico Alessandro Silvestris, Apollonia Tullo, Graziano Pesole, Maja Cemazar, Emanuela Signori

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Mariangela De RobertisDepartment of Biosciences, Biotechnology, and Environment, University of Bari "Aldo Moro", 70126 Bari, Italy.
Tim BozicDepartment of Experimental Oncology, Institute of Oncology Ljubljana, Zaloska cesta 2, 1000 Ljubljana, Slovenia.
Iva SantekDepartment of Experimental Oncology, Institute of Oncology Ljubljana, Zaloska cesta 2, 1000 Ljubljana, Slovenia.
Flaviana MarzanoInstitute of Biomembranes, Bioenergetics, and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, 70126 Bari, Italy.
Bostjan MarkelcDepartment of Experimental Oncology, Institute of Oncology Ljubljana, Zaloska cesta 2, 1000 Ljubljana, Slovenia.
Domenico Alessandro SilvestrisDepartment of Biosciences, Biotechnology, and Environment, University of Bari "Aldo Moro", 70126 Bari, Italy.
Apollonia TulloInstitute of Biomembranes, Bioenergetics, and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, 70126 Bari, Italy.
Graziano PesoleDepartment of Biosciences, Biotechnology, and Environment, University of Bari "Aldo Moro", 70126 Bari, Italy.
Maja CemazarDepartment of Experimental Oncology, Institute of Oncology Ljubljana, Zaloska cesta 2, 1000 Ljubljana, Slovenia.
Emanuela SignoriLaboratory of Molecular Pathology and Experimental Oncology, Institute of Translational Pharmacology, Consiglio Nazionale delle Ricerche, 0133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene electrotransfer (GET) has recently emerged as an effective nonviral approach for plasmid DNA (pDNA) delivery in gene therapy for several pathologies, including cancer. Multiple mechanisms have been identified that influence cell biology after GET, as electroporation significantly increases pDNA uptake and immunogenicity, which may directly influence target cell death. However, the molecular effects of

Indexed as

cancer immunologycell damagecolorectal cancerelectric pulseselectroporationgene electrotransferHVHV-LVmouse tumor modelMT: Delivery Strategies

Identifiers

PMID39967849
PMCPMC11834060

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.