Evidence map›Paper›PMID 37739951›Full record

ArticleNature communications2023

Camel nanobody-based B7-H3 CAR-T cells show high efficacy against large solid tumours.

Dan Li, Ruixue Wang, Tianyuzhou Liang, Hua Ren, Chaelee Park, Chin-Hsien Tai, Weiming Ni, Jing Zhou, Sean Mackay, Elijah Edmondson and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
14.3field-weighted citation impact, top 1% of its field
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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  18. Platelet-engineered CAR-T cells as adjuvant therapy after cancer surgery.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

13 authors at 3 institutions in 1 country.

Dan LiLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Ruixue WangLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Tianyuzhou LiangLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0009-0003-9291-1142
Hua RenLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-8809-7972
Chaelee ParkLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-3909-0096
Chin-Hsien TaiLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0003-4766-0535
Weiming NiIsoPlexis Corporation, Branford, CT, 06405, USA.ORCID http://orcid.org/0000-0002-4786-7782
Jing ZhouIsoPlexis Corporation, Branford, CT, 06405, USA.ORCID http://orcid.org/0000-0001-7935-5100
Sean MackayIsoPlexis Corporation, Branford, CT, 06405, USA.
Elijah EdmondsonMolecular Histopathology Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, USA.ORCID http://orcid.org/0000-0002-6106-3705
Javed KhanGenetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-5858-0488
Brad St CroixMouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, MD, 21702, USA.ORCID http://orcid.org/0000-0002-6246-0374
Mitchell HoLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA. homi@mail.nih.gov.ORCID http://orcid.org/0000-0002-9152-5405
National Cancer Institute · USIsoPlexis (United States) · USFrederick National Laboratory for Cancer Research · US

Funding

Development of new antibody-based cancer therapiesZIABC010891 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HO, MITCHELL · 2009 to 2025
$21.4M
Antibody Therapy of CancerZ01BC010891 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HO, MITCHELL · 2008 to 2008
$56k
Intramural NIH HHS Z01 BC010891Intramural NIH HHS ZIA BC010891NCI NIH HHS HHSN261201800001C
6 · The paper itself

Abstract

Rational design of chimeric antigen receptor T (CAR-T) cells based on the recognition of antigenic epitopes capable of evoking the most potent CAR activation is an important objective in optimizing immune therapy. In solid tumors, the B7-H3 transmembrane protein is an emerging target that harbours two distinct epitope motifs, IgC and IgV, in its ectodomain. Here, we generate dromedary camel nanobodies targeting B7-H3 and demonstrate that CAR-T cells, based on the nanobodies recognizing the IgC but not IgV domain, had potent antitumour activity against large tumors in female mice. These CAR-T cells are characterized by highly activated T cell signaling and significant tumor infiltration. Single-cell transcriptome RNA sequencing coupled with functional T-cell proteomics analysis uncovers the top-upregulated genes that might be critical for the persistence of polyfunctional CAR-T cells in mice. Our results highlight the importance of the specific target antigen epitope in governing optimal CAR-T activity and provide a nanobody-based B7-H3 CAR-T product for use in solid tumor therapy.

Indexed as

NeoplasmsReceptors, Chimeric AntigenSingle-Domain AntibodiesAnimalsCamelusEpitopesFemaleMiceTranscription FactorsEpitopesReceptors, Chimeric AntigenSingle-Domain AntibodiesTranscription Factors

Identifiers

PMID37739951
PMCPMC10517151
OpenAlexW4386968266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.