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Record W4412726445 · doi:10.1016/j.eclinm.2025.103362

Comparative safety and efficacy of oncolytic virotherapy for the treatment of individuals with malignancies: a systematic review, meta-analysis, and Bayesian network meta-analysis

2025· article· en· W4412726445 on OpenAlexaff
Poyee Lau, Long Liang, Xiang Chen, Jianglin Zhang

Bibliographic record

VenueEClinicalMedicine · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsSKiN Health
Fundersnot available
KeywordsMedicineOncolytic virusMeta-analysisInternal medicineAdverse effectOncologyCochrane LibraryClinical trialVirotherapyCancer

Abstract

fetched live from OpenAlex

Background Oncolytic virotherapy (OV) is an innovative immunotherapy strategy. A comprehensive understanding of oncolytic viruses is essential for advancing research and clinical practice. This analysis aims to evaluate the clinical outcomes of oncolytic virotherapy in cancer patients. Methods We performed single-arm, pairwise, and Bayesian network meta-analyses, incorporating clinical trials identified through PubMed, Medline, Embase, and the Cochrane Library from database inception to April 30, 2025. Primary endpoints included all-grade and grade ≥3 adverse events (AEs), objective response rate (ORR), and disease control rate (DCR). Effect size measures included risk ratios (RRs) or odds ratios (ORs) with 95% confidence intervals (CIs) or credible intervals (CrIs). Subgroup analyses were conducted to assess outcomes, and meta-regression was applied to evaluate the influence of prognostic variables. This study is registered with PROSPERO, number CRD42022306458. Findings Of 1976 studies screened, 186 clinical trials with 6979 participants met the inclusion criteria. The most common adverse events associated with oncolytic virotherapy were fatigue (1.98%, 1.71–2.28), pyrexia (2.16%, 1.69–2.69), fever (3.32%, 2.64–4.07), and chills (1.65%, 1.39–1.82), with neutropenia (1.07%, 0.67–1.55) and lymphocytopenia (0.71%, 0.51–0.94) being the predominant severe adverse events. While oncolytic virus monotherapy (OV vs immunotherapy, DCR 2.45, 95% CI 1.60–3.76) and combination regimens (OV plus chemotherapy vs OV, DCR 8.53, 95% CI, 1.97–37.03) enhanced therapeutic efficacy, they presented higher toxicity risks compared to conventional treatments (OV vs immunotherapy, all-grade AE 2.07, 95% CI 1.75–2.44). Notably, combination therapies involving chemotherapy (OV plus chemotherapy vs chemotherapy, all-grade AE 1.10, 95% CI 1.02–1.18) or radiotherapy (OV plus radiotherapy vs radiotherapy, all-grade AE 1.53, 95% CI 1.27–1.84) significantly increase adverse event risks. Conversely, oncolytic virotherapy combined with immunotherapy showed a more favorable safety profile (OV plus immunotherapy vs OV plus chemotherapy, severe AE 0.32, 95% CrI 0.15–0.66) and clinical benefits (OV plus immunotherapy vs OV plus chemotherapy, DCR 0.08, 95% CrI 0.02–0.33). Efficacy varied significantly across treatment strategies (adjusted p = 0.040), virus classifications (adjusted p = 0.0027), administration routes (adjusted p = 0.0080), and patient age groups (adjusted p = 0.00080). Interpretation This analysis provides robust evidence on the tolerability and efficacy of oncolytic virotherapy in cancer treatment. Oncolytic virotherapy demonstrates significant potential as both monotherapy and in combination regimens, offering a favorable balance of efficacy and safety. Virotherapy paired with immunotherapy exhibits a more favorable safety profile, particularly in regimens involving Reoviridae - or Poxviridae -based strategies. The therapeutic efficacy of oncolytic virotherapy varies notably by multiple factors. Funding None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.101
GPT teacher head0.422
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2025
Admission routes1
Has abstractyes

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