Computational analysis of 4-1BB-induced NFκB signaling suggests improvements to CAR cell design.


Journal

Cell communication and signaling : CCS
ISSN: 1478-811X
Titre abrégé: Cell Commun Signal
Pays: England
ID NLM: 101170464

Informations de publication

Date de publication:
26 08 2022
Historique:
received: 27 04 2022
accepted: 08 07 2022
entrez: 26 8 2022
pubmed: 27 8 2022
medline: 31 8 2022
Statut: epublish

Résumé

Chimeric antigen receptor (CAR)-expressing cells are a powerful modality of adoptive cell therapy against cancer. The potency of signaling events initiated upon antigen binding depends on the costimulatory domain within the structure of the CAR. One such costimulatory domain is 4-1BB, which affects cellular response via the NFκB pathway. However, the quantitative aspects of 4-1BB-induced NFκB signaling are not fully understood. We developed an ordinary differential equation-based mathematical model representing canonical NFκB signaling activated by CD19scFv-4-1BB. After a global sensitivity analysis on model parameters, we ran Monte Carlo simulations of cell population-wide variability in NFκB signaling and quantified the mutual information between the extracellular signal and different levels of the NFκB signal transduction pathway. In response to a wide range of antigen concentrations, the magnitude of the transient peak in NFκB nuclear concentration varies significantly, while the timing of this peak is relatively consistent. Global sensitivity analysis showed that the model is robust to variations in parameters, and thus, its quantitative predictions would remain applicable to a broad range of parameter values. The model predicts that overexpressing NEMO and disabling IKKβ deactivation can increase the mutual information between antigen levels and NFκB activation. Our modeling predictions provide actionable insights to guide CAR development. Particularly, we propose specific manipulations to the NFκB signal transduction pathway that can fine-tune the response of CD19scFv-4-1BB cells to the antigen concentrations they are likely to encounter. Video Abstract.

Sections du résumé

BACKGROUND
Chimeric antigen receptor (CAR)-expressing cells are a powerful modality of adoptive cell therapy against cancer. The potency of signaling events initiated upon antigen binding depends on the costimulatory domain within the structure of the CAR. One such costimulatory domain is 4-1BB, which affects cellular response via the NFκB pathway. However, the quantitative aspects of 4-1BB-induced NFκB signaling are not fully understood.
METHODS
We developed an ordinary differential equation-based mathematical model representing canonical NFκB signaling activated by CD19scFv-4-1BB. After a global sensitivity analysis on model parameters, we ran Monte Carlo simulations of cell population-wide variability in NFκB signaling and quantified the mutual information between the extracellular signal and different levels of the NFκB signal transduction pathway.
RESULTS
In response to a wide range of antigen concentrations, the magnitude of the transient peak in NFκB nuclear concentration varies significantly, while the timing of this peak is relatively consistent. Global sensitivity analysis showed that the model is robust to variations in parameters, and thus, its quantitative predictions would remain applicable to a broad range of parameter values. The model predicts that overexpressing NEMO and disabling IKKβ deactivation can increase the mutual information between antigen levels and NFκB activation.
CONCLUSIONS
Our modeling predictions provide actionable insights to guide CAR development. Particularly, we propose specific manipulations to the NFκB signal transduction pathway that can fine-tune the response of CD19scFv-4-1BB cells to the antigen concentrations they are likely to encounter. Video Abstract.

Identifiants

pubmed: 36028884
doi: 10.1186/s12964-022-00937-w
pii: 10.1186/s12964-022-00937-w
pmc: PMC9413922
doi:

Substances chimiques

NF-kappa B 0
Receptors, Antigen, T-Cell 0
Receptors, Chimeric Antigen 0
Tumor Necrosis Factor Receptor Superfamily, Member 9 0

Types de publication

Journal Article Video-Audio Media Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

129

Informations de copyright

© 2022. The Author(s).

Références

Biophysics (Nagoya-shi). 2005 Apr 21;1:25-31
pubmed: 27857550
Mol Cell Biol. 1998 Jan;18(1):558-65
pubmed: 9418902
Sci Rep. 2017 Nov 21;7(1):15926
pubmed: 29162874
Annu Rev Immunol. 1998;16:225-60
pubmed: 9597130
Trends Immunol. 2015 Aug;36(8):494-502
pubmed: 26169254
J Biol Chem. 2004 Aug 6;279(32):33185-91
pubmed: 15175328
Immune Netw. 2020 Mar 09;20(2):e14
pubmed: 32395366
Curr Protoc Immunol. 2009 Nov;Chapter 11:Unit11.9D
pubmed: 19918944
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Jun;69(6 Pt 2):066138
pubmed: 15244698
Nat Immunol. 2008 Dec;9(12):1371-8
pubmed: 18997794
Mol Cell. 2004 Aug 27;15(4):535-48
pubmed: 15327770
Cancers (Basel). 2021 Oct 26;13(21):
pubmed: 34771516
Biochem J. 2012 May 1;443(3):603-18
pubmed: 22507128
Science. 1997 Oct 31;278(5339):866-9
pubmed: 9346485
Immunol Rev. 2012 Mar;246(1):221-38
pubmed: 22435558
Int Rev Immunol. 2021 Oct 5;:1-20
pubmed: 34607523
Sci Rep. 2019 Jul 26;9(1):10862
pubmed: 31350431
Br J Haematol. 2021 Dec;195(5):710-721
pubmed: 34490616
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jun;81(6 Pt 1):061917
pubmed: 20866450
PLoS Comput Biol. 2020 Aug 14;16(8):e1008011
pubmed: 32797040
J Clin Invest. 1984 Aug;74(2):332-40
pubmed: 6378973
Science. 2002 Nov 8;298(5596):1241-5
pubmed: 12424381
Cancer J. 2014 Mar-Apr;20(2):134-40
pubmed: 24667959
J Cardiovasc Pharmacol. 2008 Jan;51(1):71-7
pubmed: 18209571
Oncogene. 1999 Nov 22;18(49):6867-74
pubmed: 10602462
Science. 1999 Apr 9;284(5412):309-13
pubmed: 10195894
Nature. 2017 Mar 2;543(7643):113-117
pubmed: 28225754
J Biol Chem. 1997 Nov 28;272(48):30412-20
pubmed: 9374532
Science. 2001 Aug 24;293(5534):1495-9
pubmed: 11520989
Mol Cell. 2006 Apr 21;22(2):245-57
pubmed: 16603398
N Engl J Med. 2020 Feb 6;382(6):545-553
pubmed: 32023374
Science. 2011 Oct 21;334(6054):354-8
pubmed: 21921160
Oncotarget. 2015 Oct 20;6(32):33077-90
pubmed: 26427514
Phys Biol. 2014 Aug;11(4):046004
pubmed: 25051099
Semin Immunopathol. 2019 Jan;41(1):49-58
pubmed: 30187086
PLoS Biol. 2005 Nov;3(11):e356
pubmed: 16231973
Nature. 2001 Jul 19;412(6844):346-51
pubmed: 11460167
Cancer Immunol Immunother. 2010 Dec;59(12):1781-9
pubmed: 20703455
Mol Cell Biol. 1993 Oct;13(10):6231-40
pubmed: 8413223
Semin Immunol. 2017 Jun;31:37-54
pubmed: 28838796
Methods Mol Biol. 2009;500:113-67
pubmed: 19399430
J Theor Biol. 2008 Sep 7;254(1):178-96
pubmed: 18572196
Front Immunol. 2018 Nov 15;9:2618
pubmed: 30524423
Anal Chem. 2014 Dec 16;86(24):12130-7
pubmed: 25412350
Cold Spring Harb Perspect Med. 2012 Mar;2(3):a007724
pubmed: 22393536
Sci Signal. 2020 Mar 31;13(625):
pubmed: 32234960
Cell Oncol (Dordr). 2021 Jun;44(3):495-523
pubmed: 33759063
Curr Oncol Rep. 2022 Jan;24(1):23-31
pubmed: 35059997
Am J Cancer Res. 2018 Jun 01;8(6):1083-1089
pubmed: 30034945
Nat Med. 2019 Jan;25(1):82-88
pubmed: 30559421
Nature. 2010 Jun 24;465(7301):1084-8
pubmed: 20577214
BMC Syst Biol. 2011 Dec 28;5:204
pubmed: 22204418
Cell. 1997 Oct 17;91(2):243-52
pubmed: 9346241
Blood. 1984 Jun;63(6):1424-33
pubmed: 6609729
J Biol Chem. 2006 Feb 3;281(5):2945-50
pubmed: 16321974
PLoS One. 2013 Jul 30;8(7):e70180
pubmed: 23936158
Nat Commun. 2019 Jul 17;10(1):3137
pubmed: 31316055
Blood. 1996 Apr 15;87(8):3410-7
pubmed: 8605359
J Biol Chem. 2009 Feb 27;284(9):5439-43
pubmed: 18940809
Pharm Biol. 2017 Dec;55(1):368-373
pubmed: 27931154
Cell Stem Cell. 2018 Aug 02;23(2):181-192.e5
pubmed: 30082067
J Theor Biol. 2004 May 21;228(2):195-215
pubmed: 15094015
J Theor Biol. 2020 Mar 21;489:110125
pubmed: 31866395
Cell Res. 2011 Jan;21(1):86-102
pubmed: 21102550
J Biol Chem. 2006 Sep 8;281(36):26041-50
pubmed: 16835236
J Immunol. 2002 Nov 1;169(9):4882-8
pubmed: 12391199
J Immunol. 2002 Aug 1;169(3):1319-25
pubmed: 12133954
Nat Protoc. 2006;1(1):139-45
pubmed: 17406225

Auteurs

Vardges Tserunyan (V)

Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.

Stacey D Finley (SD)

Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA. sfinley@usc.edu.
Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA. sfinley@usc.edu.
Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA. sfinley@usc.edu.

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