Evidence map›Paper›PMID 40207734›Full record

ArticleHaematologica2025

An oncolytic vaccinia virus expressing anti-CD47 nanobody exerts enhanced antitumor activity by mediating innate and adaptive immune cell infiltration and activation in the lymphoma tumor microenvironment.

Mengyuan Li, Yinyin Zhang, Lihong Zong, Minghuan Zhang, Shibing Wang, Wen Lei, Wenbin Qian

Abstract read
In one paragraph

Article in Haematologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Mengyuan LiDepartment of Hematology, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang.
Yinyin ZhangDepartment of Hematology, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang.
Lihong ZongDepartment of Hematology, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang.
Minghuan ZhangDepartment of Hematology, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang.
Shibing WangDepartment of Clinical Laboratory, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang.
Wen LeiDepartment of Hematology, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Zhejiang Provincial Clinical Research Center for CANCER, Cancer Center of Zhejiang University, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang. leiwen2017@zju.edu.cn.
Wenbin QianDepartment of Hematology, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Zhejiang Provincial Clinical Research Center for CANCER, Cancer Center of Zhejiang University, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Research Center for Life Science and Human Health, Binjiang Institute of Zhejiang University, Hangzhou. qianwb@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-CD47 antibodies targeting macrophage immune checkpoints have demonstrated benefit in clinical trials, particularly in combination with targeted therapies. Nevertheless, this strategy faces challenges from suboptimal efficacy and on-target toxicity due to an immunosuppressive tumor microenvironment and ubiquitous CD47 expression. Here, we report a novel oncolytic vaccine virus (OVV) that expresses therapeutic transgenes encoding an anti-mouse CD47 nanobody or an anti-human CD47 nanobody fused with the IgG1 Fc fragment (termed OVV-mCD47nb and OVV-hCD47nb-G1, respectively), and show that anti-CD47 nanobodies secreted by lymphoma cells infected with armed OVV enhanced tumor phagocytosis via blockade of the CD47/SIRPα signal pathway. In an implanted subcutaneous lymphoma mouse model, OVV-mCD47nb demonstrated superior therapeutic efficacy and significantly prolonged survival of tumor-bearing mice when compared to its parental OVV, an effect which might be associated with the recruitment and activation of macrophages, natural killer cells, and T cells within the tumor microenvironment. Importantly, we discovered that the specific binding of secreted hCD47nb-G1 to CD47 enhanced macrophage-mediated tumor cell phagocytosis while sparing red blood cells. OVV-hCD47nb-G1 demonstrated superior antitumor efficacy compared to the anti-CD47 antibody Hu5F9 in lymphoma models. Both intratumoral and intraperitoneal administration of OVV-hCD47nb-G1 achieved significant tumor regression and prolonged survival, potentially through tumor microenvironment reprogramming via enhanced immune cell activation. Notably, combination with CD19 chimeric antigen receptor T cells synergistically improved therapeutic outcomes in subcutaneous lymphomas by overcoming the critical barrier of limited chimeric antigen receptor T-cell infiltration. Our findings establish that arming OVV with a CD47-blocking nanobody and IgG1 Fc creates a dual-functional therapeutic platform, offering a paradigm-shifting strategy for lymphoma immunotherapy through coordinated innate and adaptive immune activation.

Indexed as

Adaptive ImmunityCD47 AntigenImmunity, InnateLymphomaOncolytic VirotherapyOncolytic VirusesSingle-Domain AntibodiesTumor MicroenvironmentAnimalsCell Line, TumorDisease Models, AnimalFemaleHumansMacrophagesMicePhagocytosisCD47 AntigenCD47 protein, humanSingle-Domain Antibodies

Identifiers

PMID40207734
PMCPMC12399946

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Registered trials

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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.