Cited by 105Immune Cell Function and InteractionCancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

In vitro immunotherapy potency assays using real-time cell analysis

Open access
Cerignoli, Fabio, Abassi, Yama A., Lamarche, Brandon J., Guenther, Garret, Santa Ana, David, Guimet, Diana, Zhang, Wen, Zhang, Jing +1 more·2018·PLOS ONE

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0193498

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A similar clinical trial phase structure exists in the European Union, although some GMP regulations are stricter in Europe.

    “A similar clinical trial phase structure exists in the European Union, although some GMP regulations are stricter in Europe (132,133).”

    From Scalable Manufacturing of CAR T Cells for Cancer Immunotherapy (2021) · cites this paper as [132]

    The Introduction and Discussion discuss immunotherapy potency assays during development and manufacturing, but neither describes EU clinical trial phases or compares European GMP requirements with those elsewhere. Searches for the EU trial-phase structure and stricter GMP regulations found no passage addressing either claim. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Cerignoli, F., Abassi, Y. A., Lamarche, B. J., Guenther, G., Santa Ana, D., Guimet, D., Zhang, W., Zhang, J., & Xi, B.
Affiliations
ACEA Biosciences (United States) (US)
Corresponding author
Xi, Biao
Venue
PLOS ONE
Published
2018-03-02
Volume
13
Issue
3
Pages
e0193498
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2791857742
Cited by
105
References
47
Citations by year
2026: 13 · 2025: 9 · 2024: 6 · 2023: 13 · 2022: 15 · 2021: 19 · 2020: 11 · 2019: 17 · 2018: 2
FWCI
5.27
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Immune Cell Function and Interaction
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
Keywords
cancer immunotherapy, potency assay, real-time cell monitoring, xCELLigence, tumor cell lysis, chimeric antigen receptor T cells, natural killer cells, bispecific T-cell engagers, EpCAM, gold microelectrodes, liquid tumors
MeSH terms
Epithelial Cell Adhesion Molecule, Antibodies, Biological Assay, Cytological Techniques, Humans, Immunotherapy, Leukocytes, Mononuclear, Apoptosis, Cell Line, Tumor, Programmed Cell Death 1 Receptor, MCF-7 Cells

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review