Evidence map›Paper›PMID 41844687›Full record

ArticleScientific reports2026

A targeting lentiviral vector for generation of CAR-T cells in vivo.

Muhadasi Tuerxunyiming, Jianguo Michael Yin, Ping Zhu, Maoxuan Liu, Zheng Fu, Qing Zhao

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Muhadasi Tuerxunyiming *Zhejiang University School of Medicine, Hangzhou, 310058, China.
Jianguo Michael Yin *Wisdom Lake Academy of Pharmacy, Xi'an Jiao Tong Liverpool University, Suzhou, 215123, China.
Ping ZhuDepartment of Endocrinology, The Affiliated Chuzhou Hospital of Traditional Chinese Medicine of Jiangsu College of Nursing, Huai'an, 223200, China.
Maoxuan LiuCenter for Protein and Cell-Based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Zheng FuXinyi Biotech Co., Ltd, Lingang, Shanghai, 201306, China.
Qing ZhaoDepartment of Endocrinology, Lianshui People's Hospital of Kangda College Affiliated to Nanjing Medical University, Huai'an, 223400, China. 13912063966@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T cell therapy has demonstrated remarkable therapeutic efficacy in treating cancer and autoimmune diseases. However, current CAR-T cell therapy requires ex vivo T cell engineering, which is both time-consuming and cost-prohibitive, adding complexity to the overall treatment. In this study, using an engineered Sindbis virus envelope, we developed a lentiviral vector system with high specificity for targeting human T cell line and primary T cells, but not targeting other immune cell subsets. Notably, this T cell-specific lentiviral vector does not require additional anti-CD3/CD28 stimulation for primary T cell activation during infection in vitro. Furthermore, the lentiviral vector successfully delivered a CD19-targeting CAR molecule to human primary T cells in vivo. The in vivo generated CD19-CAR-T cells efficiently mediated B cell lymphoma clearance. Overall, our study provides a promising tool for the development of in vivo T cell engineering approaches.

Indexed as

Genetic VectorsImmunotherapy, AdoptiveLentivirusReceptors, Chimeric AntigenT-LymphocytesAnimalsAntigens, CD19HEK293 CellsHumansLymphocyte ActivationLymphoma, B-CellMiceSindbis VirusAntigens, CD19Receptors, Chimeric AntigenCAR-TChimeric antigen receptorIn vivoLentiviral vector

Identifiers

PMID41844687
PMCPMC13009191

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Registered trials

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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.