ReviewOncology research2025
Immune Checkpoint Inhibitors Combined with Oncolytic Virotherapy: Synergy, Heterogeneity, and Safety in Cancer Treatment.
Review in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Tuning epigenetics to enhance cancer virotherapy.Acta pharmaceutica Sinica. B · 2026Review
- PARK2-Mediated PGK1 Degradation Suppresses Partial Epithelial-Mesenchymal Transition and Metastasis in Triple-Negative Breast Cancer.Oncology research · 2026Article
- Advances and Future Expectations in Oncolytic Virus Therapy for Glioblastoma: A Systematic Review of Clinical Trials.Clinical Medicine Insights. Oncology · 2026Review
- GAS6 potentiates tumor progression through modulating suppressive microenvironments.American journal of cancer research · 2026Article
- Immune Checkpoint Blockade and Emerging Combination Platforms in Breast Cancer: A Narrative Review.Breast cancer (Dove Medical Press) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune checkpoint inhibitor (ICI) has limited efficacy in the treatment of immune "cold" tumors. Due to insufficient T cell infiltration and heterogeneous programmed death ligand 1 (PD-L1) expression, the ORR is only 5%-8% compared with 30%-40% of "hot" tumors. This article reviews the synergistic mechanism, clinical efficacy and optimization strategy of oncolytic virus (OVs) combined with ICIs in the treatment of refractory malignant tumors. Systematic analysis of mechanistic interactions across tumor types and clinical trial data demonstrates that OVs transform the immunosuppressive microenvironment by inducing immunogenic cell death and activating innate immunity. Concurrently, ICIs enhance adaptive immunity by reversing T-cell exhaustion and expanding T-cell diversity. Clinical trials in melanoma, head and neck cancer and breast cancer showed superior efficacy. The Objective Response Rate (ORR) of combination therapy was 39%-62%, while the ORR of ICI monotherapy was 18%. Treatment heterogeneity is mainly attributed to virus-related factors, including targeting specificity and replication efficiency, tumor characteristics, such as antigen presenting ability and mutation load, and host immune status, including pre-existing antiviral antibodies and microbiome composition. This combined approach represents a paradigm shift in cancer immunotherapy, which effectively transforms immune "cold" tumors into "hot" tumors through the continuous activation of innate and adaptive immune responses. In the future, it is expected to improve the therapeutic effect of treatment-resistant malignant tumors through the integration of immune regulatory molecules, accurate biomarkers to guide the treatment scheme and triple combination strategy by a new generation of engineering viruses.
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Identifiers
What OpenQuestion holds
Registered trials
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.