TY - JOUR
T1 - Modeling isogenic cancer cell response upon varying TRAIL stimulations to decipher the kinetic determinants of cell fate decision
AU - Péré, Marielle
AU - Oyarzun, Diego
AU - Roux, Jérémie
AU - Chaves, Madalena
N1 - All authors were supported by an INCa Plan Cancer Biologie Des Syst`emes, ITMO Cancer (proposal IMoDRez, no.18CB001-00), and by Agence Nationale de la Recherche “Investissements d’Avenir” programs: LABEX SIGNALIFE ANR-11-LABX-0028-01 and IDEX UCAJedi ANR15-IDEX-01. MP was supported in part by an Inria-Inserm PhD fellowship “Medecine Numerique” and by the RSE Saltire early career fellowship.
PY - 2023/2/7
Y1 - 2023/2/7
N2 - Cell response heterogeneity upon drug treatment is a leading cause of reduced drug efficacy in preclinical cancer research. Although single-cell studies have revealed the depth of cellular heterogeneity observed between in tumor cells, the regulatory impact of cell variability on therapeutic response remains unclear. Here, we present a new ODE model of the extrinsic apoptosis initiation by death-ligands. This model is calibrated on fluorescent time-trajectories (FRET) of hundreds of clonal HeLa cells treated with different amounts of Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). By highlighting the different steps in the regulation of apoptosis, and the associated timeline, we locate an initial cell fate decision just after TRAIL binding and the presence of additional regulation at the receptor that only benefits the drug-sensitive population. Then, our study provides evidence that increasing the dose of TRAIL actually has small effects within each population (resistant or sensitive) but rather accentuates the differences between the two, affecting the population dynamics in two different ways depending on their response to the drug. Finally, the distribution of 3 parameters of our mechanistic model, according to the cell drug response, suggests the existence of an determinant threshold in C8 dynamics, independent of the drug dose, that distinguishes cells drug-resistant or sensitive, that could be used to control or predict cell drug-response in the future.
AB - Cell response heterogeneity upon drug treatment is a leading cause of reduced drug efficacy in preclinical cancer research. Although single-cell studies have revealed the depth of cellular heterogeneity observed between in tumor cells, the regulatory impact of cell variability on therapeutic response remains unclear. Here, we present a new ODE model of the extrinsic apoptosis initiation by death-ligands. This model is calibrated on fluorescent time-trajectories (FRET) of hundreds of clonal HeLa cells treated with different amounts of Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). By highlighting the different steps in the regulation of apoptosis, and the associated timeline, we locate an initial cell fate decision just after TRAIL binding and the presence of additional regulation at the receptor that only benefits the drug-sensitive population. Then, our study provides evidence that increasing the dose of TRAIL actually has small effects within each population (resistant or sensitive) but rather accentuates the differences between the two, affecting the population dynamics in two different ways depending on their response to the drug. Finally, the distribution of 3 parameters of our mechanistic model, according to the cell drug response, suggests the existence of an determinant threshold in C8 dynamics, independent of the drug dose, that distinguishes cells drug-resistant or sensitive, that could be used to control or predict cell drug-response in the future.
KW - apoptosis
KW - fractional killing
KW - ODE
KW - oncology
KW - pharmaco-kinetics
KW - single-cell
UR - http://www.scopus.com/inward/record.url?scp=85162060426&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2023.01.013
DO - 10.1016/j.ifacol.2023.01.013
M3 - Article
AN - SCOPUS:85162060426
SN - 2405-8963
VL - 55
SP - 46
EP - 51
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 23
T2 - 9th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2022
Y2 - 28 August 2022 through 31 August 2022
ER -