Evidence map›Paper›PMID 40808775›Full record

ArticleRegenerative therapy2025

Scalable production process development for NK cells targeting large-scale expansion.

Takuya Kikuchi, Ippei Takeuchi, Hideto Yamaguchi

Abstract read
In one paragraph

Article in Regenerative therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Takuya KikuchiCMC Development, Chemical & Biological Labs, Astellas Pharma, Inc., 5-2-3, Tokodai, Tsukuba-shi, Ibaraki, 300-2698, Japan.
Ippei TakeuchiCMC Development, Chemical & Biological Labs, Astellas Pharma, Inc., 5-2-3, Tokodai, Tsukuba-shi, Ibaraki, 300-2698, Japan.
Hideto YamaguchiCMC Development, Chemical & Biological Labs, Astellas Pharma, Inc., 5-2-3, Tokodai, Tsukuba-shi, Ibaraki, 300-2698, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Natural Killer (NK) cells have attracted extensive attention as therapeutic agents for hematological malignancies and solid tumors. NK cell therapies carry a lower risk of Graft-Versus-Host Disease (GVHD) in allogeneic transplantation, making them ideal candidates for "off-the-shelf" allogeneic cell therapies. However, the expansion culture of NK cells typically employs a scale-out strategy using a large number of culture vessels, making it still challenging to use NK cells as 'off-the-shelf' allogeneic cell therapies. While scalable, aerated stirred bioreactor could be an ideal approach, there have been no reports on culture evaluations specifically targeting iPCS-derived NK cells. Methods: We developed a process for expanding iPCS-derived NK cells using a stirred culture system. The NK cell stimulation process with agonist antibodies and expansion process were repeated, and the cell expansion and quality of iPCS-derived NK cells were evaluated. Scale-up factors were evaluated using an aerated stirred bioreactor, and process scale-up was performed from 1 L to 10 L bioreactors. Results: iPCS-derived NK cells showed higher cell expansion in stirred cultures than in static cultures. By repeated stimulation and expansion processes, iPCS-derived NK cells expanded 1000-fold with comparable cell expansion and quality. iPCS-derived NK cells could be scaled up from 1 L to 10 L aerated stirred bioreactors with comparable cell expansion and quality. Conclusions: Through systematic process evaluation and optimization, we demonstrated that iPCS-derived NK cells can be expanded in a scalable aerated stirred bioreactor.

Indexed as

Aerated stirred bioreactorNatural killer cellScalable process

Identifiers

PMID40808775
PMCPMC12347513

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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.