Evidence map›Paper›PMID 30670085›Full record

ArticleJournal for immunotherapy of cancer2019

Human double negative T cells target lung cancer via ligand-dependent mechanisms that can be enhanced by IL-15.

Junlin Yao, Dalam Ly, Dzana Dervovic, Linan Fang, Jong Bok Lee, Hyeonjeong Kang, Yu-Hui Wang, Nhu-An Pham, Hongming Pan, Ming-Sound Tsao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

52 citing papers in PubMed, 80 citations in OpenAlex.

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  12. Presetting CAR-T cells during ex vivo biomanufacturing.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  13. Characterization and effective expansion of CD4Molecular therapy. Methods & clinical development · 2025
    Article
  14. Review
  15. Purinergic signaling by TCRαβScience bulletin · 2025
    Article
  16. Article
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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

11 authors at 7 institutions in 3 countries.

Junlin YaoToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Dalam LyToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Dzana DervovicToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Linan FangToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Jong Bok LeeToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Hyeonjeong KangToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Yu-Hui WangPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Nhu-An PhamPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Hongming PanSir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Ming-Sound TsaoPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Li ZhangToronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada. lzhang@uhnresearch.ca.
Health Net · USPrincess Margaret Cancer Centre · CAUniversity Health Network · CAUniversity of Toronto · CASir Run Run Shaw Hospital · CNToronto General Hospital · CAToronto General Hospital Research Institute

Funding

CIHR
6 · The paper itself

Abstract

backgroundThe advents of novel immunotherapies have revolutionized the treatment of cancer. Adoptive cellular therapies using chimeric antigen receptor T (CAR-T) cells have achieved remarkable clinical responses in B cell leukemia and lymphoma but the effect on solid tumors including lung cancer is limited. Here we present data on the therapeutic potential of allogeneic CD3

methodsDNTs were enriched and expanded ex vivo from healthy donors and phenotyped by flow cytometry. Functionally, their cytotoxicity was determined against primary and established non-small-cell lung cancer (NSCLC) cell lines in vitro or through in vivo adoptive transfer into xenograft models. Mechanistic analysis was performed using blocking antibodies against various cell surface and soluble markers. Furthermore, the role of IL-15 on DNT function was determined.

resultsWe demonstrated that ex vivo expanded DNTs can effectively lyse various human NSCLC cells in vitro and inhibit tumor growth in xenograft models. Expanded DNTs have a cytotoxic phenotype, as they express NKp30, NKG2D, DNAM-1, membrane TRAIL (mTRAIL), perforin and granzyme B, and secrete IFNγ and soluble TRAIL (sTRAIL). DNT-mediated cytotoxicity was dependent on a combination of tumor-expressed ligands for NKG2D, DNAM-1, NKp30 and/or receptors for TRAIL, which differ among different NSCLC cell lines. Furthermore, stimulation of DNTs with IL-15 increased expression of effector molecules on DNTs, their TRAIL production and cytotoxicity against NSCLC in vitro and in vivo.

conclusionHealthy donor-derived DNTs can target NSCLC in vitro and in vivo. DNTs recognize tumors via innate receptors which can be up-regulated by IL-15. DNTs have the potential to be used as a novel adoptive cell therapy for lung cancer either alone or in combination with IL-15.

Indexed as

Immunotherapy, AdoptiveAnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorCombined Modality TherapyHumansInterleukin-15LigandsLung NeoplasmsMaleMiceT-LymphocytesInterleukin-15LigandsAdoptive cellular therapyDouble negative T cellsIL-15Lung cancer

Identifiers

PMID30670085
PMCPMC6343266
OpenAlexW2916703154

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.