Evidence map›Paper›PMID 36409926›Full record

ArticleCancer immunology research2023

Rational Protein Design Yields a CD20 CAR with Superior Antitumor Efficacy Compared with CD19 CAR.

Ximin Chen, Laurence C Chen, Mobina Khericha, Xiangzhi Meng, Emma Salvestrini, Amanda Shafer, Neha Iyer, Anya S Alag, Yunfeng Ding, Demetri M Nicolaou and 1 more

Open access · bronzeAbstract readEditorial
In one paragraph

Article in Cancer immunology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Design of a water-soluble CD20 antigen with computational epitope scaffolding.Protein science : a publication of the Protein Society · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. CAR spacers: Not just filling space.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Refining chimeric antigen receptors via barcoded protein domain combination pooled screening.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Ximin Chen *Department of Chemical and Biomolecular Engineering, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-2693-0420
Laurence C Chen *Department of Chemical and Biomolecular Engineering, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-1083-862X
Mobina KherichaDepartment of Chemical and Biomolecular Engineering, University of California Los Angeles, Los Angeles, California.ORCID 0000-0001-8399-8029
Xiangzhi MengDepartment of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-4743-9972
Emma SalvestriniDepartment of Chemical and Biomolecular Engineering, University of California Los Angeles, Los Angeles, California.ORCID 0000-0003-2359-6348
Amanda ShaferDepartment of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, Los Angeles, California.ORCID 0000-0003-2931-1569
Neha IyerDepartment of Bioengineering, University of California Los Angeles, California.ORCID 0000-0003-4156-3339
Anya S AlagDepartment of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, Los Angeles, California.ORCID 0000-0001-5773-6471
Yunfeng DingDepartment of Chemical and Biomolecular Engineering, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-1953-4470
Demetri M NicolaouDepartment of Chemical and Biomolecular Engineering, University of California Los Angeles, Los Angeles, California.ORCID 0000-0001-7958-6726
Yvonne Y ChenDepartment of Chemical and Biomolecular Engineering, University of California Los Angeles, Los Angeles, California.ORCID 0000-0002-5583-119X
University of California, Los Angeles · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
NCI NIH HHS P30 CA016042
6 · The paper itself

Abstract

Chimeric antigen receptors (CAR) are fusion proteins whose functional domains are often connected in a plug-and-play manner to generate multiple CAR variants. However, CARs with highly similar sequences can exhibit dramatic differences in function. Thus, approaches to rationally optimize CAR proteins are critical to the development of effective CAR T-cell therapies. Here, we report that as few as two amino-acid changes in nonsignaling domains of a CAR were able to significantly enhance in vivo antitumor efficacy. We demonstrate juxtamembrane alanine insertion and single-chain variable fragment sequence hybridization as two strategies that could be combined to maximize CAR functionality, and describe a CD20 CAR that outperformed the CD19 CAR in antitumor efficacy in preclinical in vitro and in vivo assays. Precise changes in the CAR sequence drove dramatically different transcriptomic profiles upon antigen stimulation, with the most efficacious CAR inducing an enrichment in highly functional memory T cells upon antigen stimulation. These findings underscore the importance of sequence-level optimization to CAR T-cell function, and the protein-engineering strategy described here may be applied to the development of additional CARs against diverse antigens. See related Spotlight by Scheller and Hudecek, p. 142.

Indexed as

Receptors, Chimeric AntigenAntigens, NeoplasmImmunotherapy, AdoptiveProtein EngineeringReceptors, Antigen, T-CellAntigens, NeoplasmReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

PMID36409926
PMCPMC9898126
OpenAlexW4309666030

What OpenQuestion holds

Textmetadata
LicenceTDM
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.