RT Journal Article
SR Electronic
T1 EXTERNAL CONTROL OF CANCER CELLULAR DYNAMICS USING ADAPTIVE MODEL PREDICTIVE CONTROL
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2022.03.14.484268
DO 10.1101/2022.03.14.484268
A1 Smart, Benjamin
A1 de Cesare, Irene
A1 Renson, Ludovic
A1 Marucci, Lucia
YR 2022
UL http://biorxiv.org/content/early/2022/04/11/2022.03.14.484268.abstract
AB Recent advancements in Cybergenetics have lead to the development of new computational and experimental platforms that enable to robustly steer cellular dynamics by applying external feedback control. Such technologies have never been applied to regulate intracellular dynamics of cancer cells. Here, we show in silico that Adaptive Model Predictive Control (MPC) can effectively be used to steer signalling dynamics in Non-Small Cell Lung Cancer (NSCLC) cells to resemble those of wild-type cells, and to support the design of combination therapies. Our optimisation-based control algorithm enables tailoring the cost function to force the controller to alternate different drugs and/or reduce drug exposure, minimising both drug-induced toxicity and resistance to treatment. Our results pave the way for new cybergenetics experiments in cancer cells for drug combination therapy design.Competing Interest StatementThe authors have declared no competing interest.