Evidence map›Paper›PMID 42441280›Full record

ArticleMolecular therapy. Oncology2026

Comparative evaluation of oncolytic viruses reveals opposing preferences for glioblastoma subtypes.

Tine Deconinck, Tim Dierckx, Frederik De Smet, Jim Baggen, Dirk Daelemans

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 2026. 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

5 authors.

Tine DeconinckKU Leuven Department of Microbiology, Immunology and Transplantation, Molecular Genetics and Therapeutics in Virology and Oncology Research Group, Rega Institute, Leuven Cancer Institute, 3000 Leuven, Belgium.
Tim DierckxKU Leuven Department of Microbiology, Immunology and Transplantation, Molecular Genetics and Therapeutics in Virology and Oncology Research Group, Rega Institute, Leuven Cancer Institute, 3000 Leuven, Belgium.
Frederik De SmetKU Leuven Department of Imaging and Pathology, Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Leuven Cancer Institute, 3000 Leuven, Belgium.
Jim BaggenKU Leuven Department of Microbiology, Immunology and Transplantation, Molecular Genetics and Therapeutics in Virology and Oncology Research Group, Rega Institute, Leuven Cancer Institute, 3000 Leuven, Belgium.
Dirk DaelemansKU Leuven Department of Microbiology, Immunology and Transplantation, Molecular Genetics and Therapeutics in Virology and Oncology Research Group, Rega Institute, Leuven Cancer Institute, 3000 Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most aggressive primary brain tumor in adults characterized by poor long-term survival and frequent tumor recurrence, highlighting the urgent need for novel therapeutic strategies. Oncolytic viruses (OVs) preferentially infect and kill cancer cells while stimulating an antitumor immune response. Oncolytic virotherapies have shown encouraging results in preclinical GBM models and some clinical settings. However, high tumor heterogeneity poses a major obstacle. Only a subset of GBM patients responds well, and improvement in survival is usually limited. It is therefore crucial to better understand determinants of OV effectiveness and to consider multiple OVs. Here, we report a comparative analysis of the oncolytic efficacy of 15 clinically relevant viruses across a diverse panel of 14 heterogeneous patient-derived GBM cell lines. Correlation analysis revealed two clusters of viruses with opposing oncolytic activity profiles and opposing preferences for GBM subtypes. Oncolytic activities correlated with expression levels of interferon-, neurodevelopment-, and extracellular matrix-related gene sets, with inverse correlations observed between the two OV groups. Together, these data reveal that diverse viruses share similar determinants of oncolytic activity. Our findings pave the way toward combinatorial or personalized OV therapies in GBM, where tumor subtype could guide selection of the most effective OV.

Indexed as

brain tumorCNS tumorglioblastomaoncolytic virotherapypersonalized medicine

Identifiers

PMID42441280
PMCPMC13334811

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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.