Evidence map›Paper›PMID 36382135›Full record

ArticleRegenerative therapy2022

Evaluation of the reproducibility and positive controls of cellular immortality test for the detection of immortalized cellular impurities in human cell-processed therapeutic products.

Takamasa Hirai, Ken Kono, Shinji Kusakawa, Satoshi Yasuda, Rumi Sawada, Akihiko Morishita, Shinko Hata, Atsushi Wakita, Takayasu Kageyama, Ryo Takahashi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Regenerative therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 4 institutions in 1 country.

Takamasa HiraiDivision of Cell-Based Therapeutic Products, National Institute of Health Sciences, Kanagawa, Japan.
Ken KonoDivision of Cell-Based Therapeutic Products, National Institute of Health Sciences, Kanagawa, Japan.
Shinji KusakawaDivision of Cell-Based Therapeutic Products, National Institute of Health Sciences, Kanagawa, Japan.
Satoshi YasudaDivision of Cell-Based Therapeutic Products, National Institute of Health Sciences, Kanagawa, Japan.
Rumi SawadaDivision of Cell-Based Therapeutic Products, National Institute of Health Sciences, Kanagawa, Japan.
Akihiko MorishitaIg-M Co., Hyogo, Japan.
Shinko HataIg-M Co., Hyogo, Japan.
Atsushi WakitaClinical Pathology Division, Tsukuba Research Institute, BoZo Research Center Inc., Ibaraki, Japan.
Takayasu KageyamaClinical Pathology Division, Tsukuba Research Institute, BoZo Research Center Inc., Ibaraki, Japan.
Ryo TakahashiClinical Pathology Division, Tsukuba Research Institute, BoZo Research Center Inc., Ibaraki, Japan.
Sono WatanabeAnalytical Research Group, Research Division, HEALIOS K.K., Hyogo, Japan.
Norihiko ShiraishiNew Healthcare Solutions, Corporate Strategy Department, Strategy Division, Kyowakirin Co., Ltd., Tokyo, Japan.
Yoji SatoDivision of Cell-Based Therapeutic Products, National Institute of Health Sciences, Kanagawa, Japan.
National Institute of Health Sciences · JPBoZo Research Center (Japan) · JPKanagawa Industrial Technology Center · JPNagoya City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Contamination of human cell-processed therapeutic products (hCTPs) with tumorigenic/immortalized cellular impurities is a major concern in the manufacturing and quality control of hCTPs. The cellular immortality test based on cell growth analysis is a method for detecting tumorigenic/immortalized cellular impurities in hCTPs. However, the performance of the cellular immortality test has not yet been well characterized. In this study, we examined the reproducibility of the cellular immortality test in detecting HeLa cells as a model of tumorigenic cellular impurities, as well as the applicability of other models of cellular impurities with different tumorigenicity to the cellular immortality test. Methods: Using HeLa cells as a model for cellular impurities, we measured the growth rate of human mesenchymal stem cells (hMSCs) supplemented with HeLa cells at concentrations ranging from 0.01 to 0.0001% at each passage in three laboratories and evaluated the reproducibility of the detection of immortalized cellular impurities. In addition, HEK293 cells (another immortalized cell line) and MRC-5 cells (a non-immortalized cell line) were employed as cellular impurity models that exhibit different growth characteristics from HeLa cells, and the ability of the cellular immortality test to detect these different impurities when mixed with hMSCs was examined. Results: In the multisite study, the growth rate of hMSCs supplemented with 1 and 10 HeLa cells (0.0001% and 0.001%) significantly increased and reached a plateau in all three laboratories, whereas those of hMSCs alone eventually decreased. Moreover, when hMSCs were supplemented with 10 and 100 HEK293 and MRC-5 cells (0.001% and 0.01%), the growth rate significantly increased. The growth rate of hMSCs supplemented with HEK293 cells increased with passage and remained high, whereas that of hMSCs supplemented with MRC-5 cells eventually decreased, as in the case of hMSCs alone. Conclusions: These results indicate that the cellular immortality test is reproducible and can detect immortalized (

Indexed as

Cell growth analysisCellular immortality testCellular therapyhCTPs, human cell-processed therapeutic productshMSCs, human mesenchymal stem cellsPDL, population doubling levelPSCs, pluripotent stem cellsQuality and safetySACF, soft agar colony formationTumorigenicity

Identifiers

PMID36382135
PMCPMC9634468
OpenAlexW4308149690

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LicenceCC BY-NC-ND
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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.