Evidence map›Paper›PMID 29499048›Full record

ArticlePloS one2018

In vitro immunotherapy potency assays using real-time cell analysis.

Fabio Cerignoli, Yama A Abassi, Brandon J Lamarche, Garret Guenther, David Santa Ana, Diana Guimet, Wen Zhang, Jing Zhang, Biao Xi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
4.6field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 98 citations in OpenAlex.

  1. Review
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  5. LRRC15-CAR T Cells for the Treatment of Osteosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  11. Review
  12. Charting the Cannabis plant chemical space with computational metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
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  18. The application of patient-derived organoid in the research of lung cancer.Cellular oncology (Dordrecht, Netherlands) · 2023
    Review
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

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

9 authors.

Fabio CerignoliACEA Biosciences, San Diego, California, United States of America.
Yama A AbassiACEA Biosciences, San Diego, California, United States of America.
Brandon J LamarcheACEA Biosciences, San Diego, California, United States of America.
Garret GuentherACEA Biosciences, San Diego, California, United States of America.
David Santa AnaACEA Biosciences, San Diego, California, United States of America.
Diana GuimetACEA Biosciences, San Diego, California, United States of America.
Wen ZhangACEA Biosciences, San Diego, California, United States of America.
Jing ZhangACEA Biosciences, San Diego, California, United States of America.
Biao XiACEA Biosciences, San Diego, California, United States of America.ORCID 0000-0002-9258-4036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing understanding of the molecular interactions between immune effector cells and target tumor cells, coupled with refined gene therapy approaches, are giving rise to novel cancer immunotherapeutics with remarkable efficacy in the clinic against both solid and liquid tumors. While immunotherapy holds tremendous promise for treatment of certain cancers, significant challenges remain in the clinical translation to many other types of cancers and also in minimizing adverse effects. Therefore, there is an urgent need for functional potency assays, in vitro and in vivo, that could model the complex interaction of immune cells with tumor cells and can be used to rapidly test the efficacy of different immunotherapy approaches, whether it is small molecule, biologics, cell therapies or combinations thereof. Herein we report the development of an xCELLigence real-time cytolytic in vitro potency assay that uses cellular impedance to continuously monitor the viability of target tumor cells while they are being subjected to different types of treatments. Specialized microtiter plates containing integrated gold microelectrodes enable the number, size, and surface attachment strength of adherent target tumor cells to be selectively monitored within a heterogeneous mixture that includes effector cells, antibodies, small molecules, etc. Through surface-tethering approach, the killing of liquid cancers can also be monitored. Using NK92 effector cells as example, results from RTCA potency assay are very well correlated with end point data from image-based assays as well as flow cytometry. Several effector cells, i.e., PBMC, NK, CAR-T were tested and validated as well as biological molecules such as Bi-specific T cell Engagers (BiTEs) targeting the EpCAM protein expressed on tumor cells and blocking antibodies against the immune checkpoint inhibitor PD-1. Using the specifically designed xCELLigence immunotherapy software, quantitative parameters such as KT50 (the amount of time it takes to kill 50% of the target tumor cells) and % cytolysis are calculated and used for comparing the relative efficacy of different reagents. In summary, our results demonstrate the xCELLigence platform to be well suited for potency assays, providing quantitative assessment with high reproducibility and a greatly simplified work flow.

Indexed as

AntibodiesApoptosisBiological AssayCell Line, TumorCytological TechniquesEpithelial Cell Adhesion MoleculeHumansImmunotherapyLeukocytes, MononuclearMCF-7 CellsProgrammed Cell Death 1 ReceptorAntibodiesEpithelial Cell Adhesion MoleculePDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID29499048
PMCPMC5834184
OpenAlexW2791857742

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.