Evidence map›Paper›PMID 40821721›Full record

ArticleMolecular therapy. Oncology2025

Oncolytic vaccinia virus expressing non-secreted decoy-resistant IL-18 mutein elicits potent antitumor effects with enhanced safety.

Junjie Ye, Lingjuan Chen, Sefali Patel, Pingpo Ming, Chunyan Li, Julia Waltermire, Jinshun Zhao, Jinghua Ren, David L Bartlett, Zuqiang Liu

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. CD39Frontiers in oncology · 2025
    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.

Junjie YeAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Lingjuan ChenAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Sefali PatelAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Pingpo MingAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Chunyan LiAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Julia WaltermireAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Jinshun ZhaoAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Jinghua RenCancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei 430023, China.
David L BartlettAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.
Zuqiang LiuAllegheny Health Network Cancer Institute, Pittsburgh, PA 15212, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytokines are promising for cancer treatment but face challenges like short half-lives, high-dose requirements, and systemic toxicity. Oncolytic viruses provide an ideal platform to overcome these limitations by delivering cytokines directly to tumor sites, enabling high local concentrations within the tumor microenvironment (TME). This study utilized an oncolytic vaccinia virus (oVV) to deliver interleukin-18 (IL-18) and its variants and assessed their antitumor effects across different tumor models. The non-secreted mature IL-18 mutein (nsmDR-18)-expressing oVV demonstrated potent antitumor efficacy with reduced systemic toxicity. It increased the expression of antitumor factors, including IL-2, interferon gamma (IFN-γ), granzyme B, and perforin, while expanding tumor-reactive CD39

Indexed as

anti-CTLA-4 antibodycytokineDR-18IL-18immune checkpoint inhibitorimmunotherapyMT: Regular Issueoncolytic virussystemic toxicitytumor microenvironmentvaccinia virus

Identifiers

PMID40821721
PMCPMC12354812

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.