Evidence map›Paper›PMID 41741641›Full record

ArticleNature2026

OR7A10 GPCR engineering boosts CAR-NK therapy against solid tumours.

Luojia Yang, Paul A Renauer, Kaiyuan Tang, Josh Saskin, Liqun Zhou, Charles Zou, Seok-Hoon Lee, Madison Fox, Samuel Johnson-Noya, Benedict Weiss and 14 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Luojia Yang *Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Paul A Renauer *Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Kaiyuan TangDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0009-0006-4538-6519
Josh SaskinDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-5372-9696
Liqun ZhouDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-3561-7495
Charles ZouDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Seok-Hoon LeeDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Madison FoxDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Samuel Johnson-NoyaDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Benedict WeissDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0009-0008-6165-2391
Stephanie DengDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Paris FangDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Binfan ChenDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Giacomo SferruzzaDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Saba FooladiDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Kai ZhaoDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Daniel ParkDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0009-0002-6862-6635
Feifei ZhangDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Jiayi TuDepartment of Medicine, The University of Chicago, Chicago, IL, USA.
Jing ChenDepartment of Medicine, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-5376-9062
Jennifer MoliternoDepartment of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA.
Murat GunelDepartment of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2290-7055
Lei PengDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA. l.peng@yale.edu.ORCID http://orcid.org/0000-0001-7159-5441
Sidi ChenDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA. sidi.chen@yale.edu.ORCID http://orcid.org/0000-0002-3819-5005

Funding

Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
GENETICS AND GENOMICS OF HUMAN DISEASET32HD007149 · NICHD · YALE UNIVERSITY · PI James P Noonan · 1985 to 2026
$8.2M
(PQ4) Novel tools for in vivo study of genetic interactions in cancer progressionR01CA231112 · NCI · YALE UNIVERSITY · PI CHEN, SIDI · 2018 to 2022
$3.0M
High-throughput in vivo genetics for immunotherapy target discoveryDP2CA238295 · NCI · YALE UNIVERSITY · PI CHEN, SIDI · 2018 to 2018
$2.5M
Advanced development of composite gene delivery and CAR engineering systemsR33CA281702 · NCI · YALE UNIVERSITY · PI CHEN, SIDI · 2023 to 2025
$1.2M
NCI NIH HHS DP2 CA238295NCI NIH HHS R01 CA231112NCI NIH HHS R33 CA281702NICHD NIH HHS T32 HD007149NIGMS NIH HHS T32 GM007499NIGMS NIH HHS T32 GM136651
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR)-natural killer (NK) cell therapies hold promise for solid tumours but remain limited because of poor tumour infiltration, persistence and resistance in the tumour microenvironment

Indexed as

Immunotherapy, AdoptiveKiller Cells, NaturalNeoplasmsReceptors, Chimeric AntigenReceptors, G-Protein-CoupledAnimalsCell Line, TumorCell ProliferationCRISPR-Cas SystemsFemaleHumansMaleMiceTumor MicroenvironmentXenograft Model Antitumor AssaysReceptors, Chimeric AntigenReceptors, G-Protein-Coupled

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.