Evidence map›Paper›PMID 42079579›Full record

ArticleFrontiers in immunology2026

Discovery of co-stimulatory anti-CD28 VHHs for developing cancer immune therapeutic anti-tumor/CD3/CD28 trispecific T cell engager.

Hui Wang, Rui Zhao, Mengmeng Liu, Tianzhi Jiang, Di Sun, Lida Chi, Yonglin Huang, Zhenghui Lu, Yueli Yun, Xiangbin Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Hui WangState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Rui ZhaoBeijing Scipromed Biotech Co., Ltd., Beijing, China.
Mengmeng LiuBeijing Scipromed Biotech Co., Ltd., Beijing, China.
Tianzhi JiangState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Di SunBeijing Scipromed Biotech Co., Ltd., Beijing, China.
Lida ChiBeijing Scipromed Biotech Co., Ltd., Beijing, China.
Yonglin HuangBeijing Scipromed Biotech Co., Ltd., Beijing, China.
Zhenghui LuState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Yueli YunState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Xiangbin WangBeijing Scipromed Biotech Co., Ltd., Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: CD28 is a critical co-stimulatory receptor expressed on T cells. Alongside the T-cell receptor (TCR), it provides a dual-signal requirement that is necessary for the complete activation of T cells. Developing co-stimulatory agonists targeting CD28 therefore represents a promising strategy to enhance the efficacy of T cell based anti-tumor immunotherapy. Results: In this study, we isolated 34 VHHs (VHHs) from a phage-display immune library generated using PBMCs of a Bactrian camel immunized with recombinant human CD28 protein. These VHHs bound to cell surface CD28 with EC Discussion: In summary, through an integrated process of affinity screening, functional agonism ranking, and therapeutic efficacy evaluation, we have identified a panel of co-stimulatory anti-CD28 VHHs with strong potential as functional modules in Tri-TCEs for cancer immunotherapy.

Indexed as

Antibodies, BispecificCD28 AntigensCD3 ComplexNeoplasmsSingle-Domain AntibodiesT-LymphocytesAnimalsCamelusCell Line, TumorHumansImmunotherapyLymphocyte ActivationAntibodies, BispecificCD28 AntigensCD3 ComplexSingle-Domain AntibodiesagonistCD28co-stimulatoryT cell engagerVHH

Identifiers

PMID42079579
PMCPMC13133060

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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.