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

Copyright © 2022 Bose, Dittrich and Gorecki..

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%.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Frontiers in chemistry - 10(2022) vom: 17., Seite 901918

Sprache:

Englisch

Beteiligte Personen:

Bose, Ashmita [VerfasserIn]
Dittrich, Peter [VerfasserIn]
Gorecki, Jerzy [VerfasserIn]

Links:

Volltext

Themen:

Chemical computing
Gene expression values
Genetic optimization
Journal Article
Multiple myeloma
Networks
Oregonator model
Oscillations

Anmerkungen:

Date Revised 26.07.2022

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fchem.2022.901918

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM343929562