Evidence map›Paper›PMID 30857561›Full record

ArticleJournal of experimental & clinical cancer research : CR2019

Targeting late-stage non-small cell lung cancer with a combination of DNT cellular therapy and PD-1 checkpoint blockade.

Linan Fang, Dalam Ly, Si-Si Wang, Jong Bok Lee, Hyeonjeong Kang, Hao Xu, Junlin Yao, Ming-Sound Tsao, Wei Liu, Li Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

50 citing papers in PubMed, 67 citations in OpenAlex.

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  13. SLAMF7 promotes TCRαβJournal of experimental & clinical cancer research : CR · 2025
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  17. High CD38 expression defines a mitochondrial function-adapted CD8Cancer immunology, immunotherapy : CII · 2025
    Article
  18. Review
  19. 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

10 authors at 5 institutions in 2 countries.

Linan FangDepartment of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China.
Dalam LyToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Si-Si WangDepartment of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
Jong Bok LeeToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Hyeonjeong KangToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Hao XuDepartment of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
Junlin YaoToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ming-Sound TsaoPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Wei LiuDepartment of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China. drweiliu@outlook.com.
Li ZhangToronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada. lzhang@uhnresearch.ca.
University Health Network · CAFirst Hospital of Jilin University · CNToronto General Hospital · CAJilin University · CNUniversity of Toronto · CA

Funding

Canadian Cancer Society grant #704121National Natural Science Foundation of China #81502202Ontario Research Fund Research Excellence Grant RE-03-020Scientific Research Foundation in the Science and Technology Development Plan of Jilin Province 20190701043GH
6 · The paper itself

Abstract

backgroundThough immune checkpoint blockade (ICB) against PD-1 has shown success in the treatment of lung cancer, not all patients respond. We have previously shown that adoptive transfer of double negative T (DNT) cells expanded from healthy donors can target leukemia but their role in treating established lung cancer is not clear. Here we explore the role of human DNT cells in targeting late-stage established lung cancer either alone or in combination with Nivolumab (anti-PD-1 antibody) and describe underlying mechanisms.

methodsDNT cells from resected lung cancer tissue of patients were analyzed by flow cytometry to determine their infiltration and PD-1 expression. Expansion capacity and anti-tumor function of lung cancer patient and healthy donor DNT cells were compared. Late-stage lung cancer xenograft models were developed to determine the anti-tumor effect of DNT cells alone or in combination with anti-PD-1 antibody, and the level of tumor-infiltrating DNT cells was quantified by histology and characterized by flow cytometry.

resultsPatient-derived tumor infiltrating lymphocytes contained a lower frequency of DNT cells with a higher expression of PD-1 relative to normal lung tissue. Ex vivo expanded patient- and healthy donor-derived DNT cells showed similar levels of cytotoxicity against lung cancer cells in vitro. Healthy donor-derived DNT cells significantly inhibited the growth of late-stage lung cancer xenografts, which was further augmented by anti-PD-1 through increased DNT cell tumor infiltration.

conclusionThis study supports the use of DNT cells for adoptive cellular therapy against lung cancer either alone or in combination with anti-PD-1.

Indexed as

Cell- and Tissue-Based TherapyImmunotherapyAnimalsB7-H1 AntigenCarcinoma, Non-Small-Cell LungDisease Models, AnimalFlow CytometryHumansLungLymphocytes, Tumor-InfiltratingMiceNivolumabProgrammed Cell Death 1 ReceptorT-LymphocytesXenograft Model Antitumor AssaysB7-H1 AntigenNivolumabPDCD1 protein, humanProgrammed Cell Death 1 ReceptorAdoptive cell therapyAnti-PD-1Checkpoint blockadeCombination therapyDouble negative T cellsLung cancerNivolumabNSCLC

Identifiers

PMID30857561
PMCPMC6413451
OpenAlexW2936882789

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.