The Concilium of Information Processing Networks of Chemical Oscillators for Determining Drug Response in Patients With Multiple Myeloma

Affiliation
Institute of Physical Chemistry, Polish Academy of Sciences ,Warsaw ,Poland
Bose, Ashmita;
GND
1165867907
ORCID
0000-0002-2541-6745
Affiliation
Department of Mathematics and Computer Science ,Friedrich Schiller University Jena ,Jena ,Germany
Dittrich, Peter;
Affiliation
Institute of Physical Chemistry, Polish Academy of Sciences ,Warsaw ,Poland
Gorecki, Jerzy

It can be expected that medical treatments in the future will be individually tailored for each patient. Here we present a step towards personally addressed drug therapy. We consider multiple myeloma treatment with drugs: bortezomib and dexamethasone. It has been observed that these drugs are effective for some patients and do not help others. We describe a network of chemical oscillators that can help to differentiate between non-responsive and responsive patients. In our numerical simulations, we consider a network of 3 interacting oscillators described with the Oregonator model. The input information is the gene expression value for one of 15 genes measured for patients with multiple myeloma. The single-gene networks optimized on a training set containing outcomes of 239 therapies, 169 using bortezomib and 70 using dexamethasone, show up to 71% accuracy in differentiating between non-responsive and responsive patients. If the results of single-gene networks are combined into the concilium with the majority voting strategy, then the accuracy of predicting the patient’s response to the therapy increases to ∼ 85%.

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License Holder: Copyright © 2022 Bose, Dittrich and Gorecki.

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This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.