Evidence map›Paper›PMID 30721445›Full record

ArticleFrontiers of medicine2019

Chimeric antigen receptor T cell targeting EGFRvIII for metastatic lung cancer therapy.

Zhao Zhang, Jun Jiang, Xiaodong Wu, Mengyao Zhang, Dan Luo, Renyu Zhang, Shiyou Li, Youwen He, Huijie Bian, Zhinan Chen

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Frontiers of medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

34 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. CAR-T therapy: Advances in respiratory diseases.Chinese medical journal pulmonary and critical care medicine · 2025
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  9. Article
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  14. Advances in CAR T Cell Therapy for Non-Small Cell Lung Cancer.Current issues in molecular biology · 2023
    Review
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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

10 authors at 4 institutions in 2 countries.

Zhao ZhangNational Translational Science Center for Molecular Medicine, Xi'an, 710032, China.
Jun JiangBeijing Institute of Genomics, Chinese Academy of Science, Beijing, 100101, China.
Xiaodong WuNational Translational Science Center for Molecular Medicine, Xi'an, 710032, China.
Mengyao ZhangBeijing Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, 100142, China.
Dan LuoNational Translational Science Center for Molecular Medicine, Xi'an, 710032, China.
Renyu ZhangNational Translational Science Center for Molecular Medicine, Xi'an, 710032, China.
Shiyou LiBeijing Institute of Genomics, Chinese Academy of Science, Beijing, 100101, China. lishiyou@big.ac.cn.
Youwen HeDepartment of Immunology, Duke University Medical Center, Durham, NC, 27710, USA. youwenhe65@gmail.com.
Huijie BianNational Translational Science Center for Molecular Medicine, Xi'an, 710032, China. hjbian@fmmu.edu.cn.
Zhinan ChenNational Translational Science Center for Molecular Medicine, Xi'an, 710032, China. znchen@fmmu.edu.cn.
Air Force Medical University · CNBeijing Institute of Genomics · CNAcademy of Military Medical Sciences · CNDuke University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most common incident cancer and the leading cause of cancer death. In recent years, the development of tumor immunotherapy especially chimeric antigen receptor T (CAR-T) cell has shown a promising future. Epidermal growth factor receptor variant III (EGFRvIII) is a tumor-specific mutation expressed in various types of tumors and has been detected in non-small cell lung cancer with a mutation rate of 10%. Thus, EGFRvIII is a potential antigen for targeted lung cancer therapy. In this study, CAR vectors were constructed and transfected into virus-packaging cells. Then, activated T cells were infected with retrovirus harvested from stable virus-producing single clone cell lines. CAR expression on the surfaces of the T cells was detected by flow cytometry and Western blot. The function of CAR-T targeting EGFRvIII was then evaluated. The EGFRvIII-CAR vector was successfully constructed and confirmed by DNA sequencing. A stable virus-producing cell line was produced from a single clone by limited dilution. The culture conditions for the cell line, including cell density, temperature, and culture medium were optimized. After infection with retrovirus, CAR was expressed on more than 90% of the T cells. The proliferation of CAR-T cells were induced by cytokine and specific antigen in vitro. More importantly, EGFRvIII-CART specifically and efficiently recognized and killed A549-EGFRvIII cells with an effector/target ratio of 10:1 by expressing and releasing cytokines, including perforin, granzyme B, IFN-γ, and TNF-α. The in vivo study indicated that the metastasis of A549-EGFRvIII cells in mice were inhibited by EGFRvIII-CART cells, and the survival of the mice was significantly prolonged with no serious side effects. EGFRvIII-CART showed significantly efficient antitumor activity against lung cancer cells expressing EGFRvIII in vivo and in vitro. Therefore, CAR-T targeting EGFRvIII is a potential therapeutic strategy in preventing recurrence and metastasis of lung cancer after surgery.

Indexed as

AnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorErbB ReceptorsFemaleHumansImmunotherapy, AdoptiveLung NeoplasmsMiceMice, Inbred NODReceptors, Chimeric AntigenT-LymphocytesXenograft Model Antitumor AssaysErbB ReceptorsReceptors, Chimeric Antigenchimeric antigen receptor T cellsepidermal growth factor receptorimmunotherapylung cancertumor immunology

Identifiers

PMID30721445
OpenAlexW2912731625

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.