Evidence map›Paper›PMID 26124178›Full record

ArticleOncotarget2015

Retargeted human avidin-CAR T cells for adoptive immunotherapy of EGFRvIII expressing gliomas and their evaluation via optical imaging.

Kaiyu Liu, Xujie Liu, Zhiping Peng, Haojie Sun, Mingzhi Zhang, Jianning Zhang, Shuang Liu, Limin Hao, Guoqiu Lu, Kangcheng Zheng and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. CAR T Cell Therapy for Solid Tumors: Bright Future or Dark Reality?Molecular therapy : the journal of the American Society of Gene Therapy · 2020
    Review
  6. Article
  7. Review
  8. T Cell Reprogramming Against Cancer.Methods in molecular biology (Clifton, N.J.) · 2020
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. New development in CAR-T cell therapy.Journal of hematology & oncology · 2017
    Review
  14. Review
  15. 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

14 authors at 3 institutions in 1 country.

Kaiyu LiuDepartment of Biochemistry and Molecular Biology, Peking University Health Science Center, Beijing, People's Republic of China.
Xujie LiuDepartment of Radiological Medicine, Chongqing Medical University, Chongqing, People's Republic of China.
Zhiping PengDepartment of Radiological Medicine, Chongqing Medical University, Chongqing, People's Republic of China.
Haojie SunDepartment of Cell Biology, Peking University Health Science Center, Beijing, People's Republic of China.
Mingzhi ZhangDepartment of Cell Biology, Peking University Health Science Center, Beijing, People's Republic of China.
Jianning ZhangDepartment of Neurosurgery, The Chinese PLA Navy General Hospital, Beijing, People's Republic of China.
Shuang LiuDepartment of Neurosurgery, The Chinese PLA Navy General Hospital, Beijing, People's Republic of China.
Limin HaoBeijing Cellonis Biotechnologies Co., Ltd, Zhongguancun Bio-Medicine Park, Beijing, People's Republic of China.
Guoqiu LuBeijing Cellonis Biotechnologies Co., Ltd, Zhongguancun Bio-Medicine Park, Beijing, People's Republic of China.
Kangcheng ZhengBeijing Cellonis Biotechnologies Co., Ltd, Zhongguancun Bio-Medicine Park, Beijing, People's Republic of China.
Xikui GongBeijing Cellonis Biotechnologies Co., Ltd, Zhongguancun Bio-Medicine Park, Beijing, People's Republic of China.
Di WuBeijing Cellonis Biotechnologies Co., Ltd, Zhongguancun Bio-Medicine Park, Beijing, People's Republic of China.
Fan WangMedical Isotopes Research Center, Peking University, Beijing, People's Republic of China.
Li ShenDepartment of Cell Biology, Peking University Health Science Center, Beijing, People's Republic of China.
Peking University · CNChongqing Medical University · CNPLA Navy General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been significant progress in the design of chimeric antigen receptors (CAR) for adoptive immunotherapy targeting tumor-associated antigens. However, the challenge of monitoring the therapy in real time has been continually ignored. To address this issue, we developed optical molecular imaging approaches to evaluate a recently reported novel CAR strategy for adoptive immunotherapy against glioma xenografts expressing EGFRvIII. We initially biotinylated a novel anti-EGFRvIII monoclonal antibody (biotin-4G1) to pre-target EGFRvIII+ gliomas and then redirect activated avidin-CAR expressing T cells against the pre-targeted biotin-4G1. By optical imaging study and bio-distribution analysis, we confirmed the specificity of pre-target and target and determined the optimal time for T cells adoptive transfer in vivo. The results showed this therapeutic strategy offered efficient therapy effect to EGFRvIII+ glioma-bearing mice and implied that optical imaging is a highly useful tool in aiding in the instruction of clinical CAR-T cells adoptive transfer in future.

Indexed as

AnimalsAntibodies, MonoclonalAntigens, NeoplasmAntineoplastic AgentsAvidinBrain NeoplasmsCell Line, TumorCytokinesErbB ReceptorsFemaleGliomaHumansImmunotherapy, AdoptiveMiceMice, Inbred BALB CMice, NudeAntibodies, MonoclonalAntigens, NeoplasmAntineoplastic AgentsAvidinCytokinesepidermal growth factor receptor VIIIErbB ReceptorsReceptors, AntigenRecombinant Fusion Proteinsadoptive immunotherapyavidin-CARbiotinylatedEGFRvIIIoptical imaging

Identifiers

PMID26124178
PMCPMC4695148
OpenAlexW2134534894

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.