Evidence map›Paper›PMID 40866992›Full record

ArticleBMC biotechnology2025

A novel feeder cell based on 4-1BBL and membrane-bound IL-21/IL-15 induce highly expansion and anti-tumor effect of natural killer cells.

Sha Gong, Nan Mei, Jun Wang, Junsheng Zhu, Lu Wang, Xiaohong Lu, Pengcheng He, Weiwei Chen, Lei Xi, Yingying Bao and 3 more

Abstract read
In one paragraph

Article in BMC biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Innate immune cells in chimeric antigen receptor therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Review
  4. Article
  5. 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

13 authors.

Sha Gong *Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Nan Mei *Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Jun WangGene and Cell Therapy Research Institute, Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi Province, China.
Junsheng ZhuMed-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Lu WangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Xiaohong LuDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Pengcheng HeDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Weiwei ChenGene and Cell Therapy Research Institute, Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi Province, China.
Lei XiGene and Cell Therapy Research Institute, Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi Province, China.
Yingying BaoGene and Cell Therapy Research Institute, Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi Province, China.
David N WaldDepartment of Pathology, Case Western Reserve University, Cleveland, OH, USA.
Xiaohu FanGene and Cell Therapy Research Institute, Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi Province, China. fanxiaohu@wondercel.com.
Huaiyu WangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China. why@xjtufh.edu.cn.

Funding

Bethune Charity Foundation BCF-IBW-XY-20231023-08Natural Science Foundation of Shaanxi Province 2024SF-YBXM-148
6 · The paper itself

Abstract

backgroundNatural killer (NK) cell immunotherapy is a promising approach for cancer treatment. However, its extensive clinical application was limited to the large-scale clinical-grade expansion of NK cells. In this study, we expanded NK cells from healthy donor's peripheral blood mononuclear cells (PBMCs) using a newly designed K562 feeder cell line.

methodsThe feeder cells were generated by transducing K562 cells with lentiviral particles carrying 4-1BBL and mbIL-21/-15. NK cells were expanded from PBMCs with these genetically modified, frozen-thawed and irradiated K562 feeder cells in the presence of IL-2. The purity, quantity, and receptors expression of the expanding NK cells were dynamically monitored. Furthermore, their anti-tumor efficacy was evaluated both in vitro and in vivo following a two-week expansion period.

resultsThe K562-4-1BBL-mbIL-21/-15 feeder cells induced highly-efficient NK cells expansion from PBMCs (17902-fold) within two weeks. There was a notable upregulation in the expression of activating receptors including NKG2D, NKp30, NKp44, and NKp46 during the expansion process. Moreover, the expanded NK cells displayed enhanced cytotoxicity against a variety of hematological (K562, MOLM-13, OCI-AML-3, THP-1) and solid (Hep-G2, OVCAR3) cancer cell lines in vitro. In the humanized U937 xenograft mouse model, the NK cells extended the median survival time of the AML-bearing mice from 19.40 to 28.25 days.

conclusionsWe have successfully established a highly-efficient, cost-effective and rapid NK cell expansion platform from PBMCs utilizing K562-4-1BBL-mbIL-21/-15 feeder cells, which also significantly improved the cytotoxicity both in vitro and in vivo, presenting a significant advancement in the field of NK cell-based immunotherapy.

Indexed as

4-1BB LigandFeeder CellsInterleukin-15InterleukinsKiller Cells, NaturalAnimalsCell ProliferationHumansK562 CellsLeukocytes, MononuclearMiceNeoplasmsXenograft Model Antitumor Assays4-1BB LigandInterleukin-15InterleukinsFeeder cellsmbIL-15mbIL-21NK cells expansion

Identifiers

PMID40866992
PMCPMC12382089

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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.