Evidence map›Paper›PMID 41372583›Full record

ArticleNature biomedical engineering2026

A trispecific antibody engaging T cells with tumour and myeloid cells augments antitumour immunity.

Changrui Yang, Shanni Guo, Kaiyan Ye, Yizong Ding, Xingzhong Zhao, Yucheng T Yang, Bowen Sun, Shuyi Qian, Mei-Chun Cai, Luyan Liu and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Circling back to RNA vaccines.Nature biotechnology · 2026
    Article
  6. Article
  7. Article
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

18 authors.

Changrui Yang *Department of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanni Guo *Department of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Kaiyan Ye *Department of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yizong Ding *Department of Thoracic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xingzhong ZhaoInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Yucheng T YangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-6873-5279
Bowen SunDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuyi QianDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mei-Chun CaiDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Luyan LiuLyvgen Biopharma, Shanghai, China.
Libing XiangDepartment of Gynecologic Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xia YinDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xing-Ming ZhaoInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-4531-3970
Jieyi WangLyvgen Biopharma, Shanghai, China. jieyi.wang@lyvgen.com.ORCID http://orcid.org/0009-0007-6876-7426
Jiwei ZhangShanghai Key Laboratory of Compound Chinese Medicines, The MOE Key Laboratory for Standardization of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China. jove1024@hotmail.com.ORCID http://orcid.org/0000-0001-8912-5069
Wen DiDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. diwen163@163.com.ORCID http://orcid.org/0000-0003-4007-3856
Guanglei ZhuangDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. zhuangguanglei@gmail.com.ORCID http://orcid.org/0000-0001-8141-5096
Fan YangDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. fanyangforever@gmail.com.ORCID http://orcid.org/0000-0003-3106-7593

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82373351National Natural Science Foundation of China (National Science Foundation of China) 82473277National Natural Science Foundation of China (National Science Foundation of China) 82522061National Natural Science Foundation of China (National Science Foundation of China) 82573385Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 23JC1403000Shanghai Municipal Education Commission 20240705
6 · The paper itself

Abstract

Immunologically unresponsive tumours often resist immune checkpoint inhibitors due to the low abundance of tumour-specific T cells and an immunosuppressive microenvironment, despite pronounced infiltration of non-tumour-specific (bystander) T cells. Here we analysed single-cell RNA sequencing data from 300 patients across 17 tumour types, identifying abundant but functionally restrained bystander T cells in multiple malignancies, including ovarian and colorectal cancer. To enhance antitumour immunity in such contexts, we engineered B7H3xCD3xPDL1, a trispecific immunoglobulin-based T cell engager targeting B7H3, CD3 and PDL1, to redirect T cells while mitigating immunosuppression. Functional validation in co-culture systems, patient-derived tumour suspensions and fragments, and humanized mouse models showed T cell activation and tumour killing. Imaging cytometry and single-cell transcriptomics revealed IFNγ-dependent macrophage reprogramming and IL-15 secretion, establishing a feed-forward loop that augments T cell functionality. A machine learning model trained on ex vivo cytotoxicity and transcriptomic data predicted patient responsiveness, supporting data-driven clinical stratification for solid tumour immunotherapy.

Indexed as

Myeloid CellsNeoplasmsT-LymphocytesAnimalsB7 AntigensCell Line, TumorFemaleHumansImmunotherapyLymphocyte ActivationMiceSingle-Cell AnalysisTumor MicroenvironmentB7 Antigens

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.