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Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance

The evolution of resistance remains one of the primary challenges for modern medicine from infectious diseases to cancers. Many of these resistance-conferring mutations often carry a substantial fitness cost in the absence of treatment. As a result, we would expect these mutants to undergo purifying...

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Autores principales: Maltas, Jeff, Tadele, Dagim Shiferaw, Durmaz, Arda, McFarland, Christopher D., Hinczewski, Michael, Scott, Jacob G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055114/
https://www.ncbi.nlm.nih.gov/pubmed/36993678
http://dx.doi.org/10.1101/2023.03.16.533001
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author Maltas, Jeff
Tadele, Dagim Shiferaw
Durmaz, Arda
McFarland, Christopher D.
Hinczewski, Michael
Scott, Jacob G.
author_facet Maltas, Jeff
Tadele, Dagim Shiferaw
Durmaz, Arda
McFarland, Christopher D.
Hinczewski, Michael
Scott, Jacob G.
author_sort Maltas, Jeff
collection PubMed
description The evolution of resistance remains one of the primary challenges for modern medicine from infectious diseases to cancers. Many of these resistance-conferring mutations often carry a substantial fitness cost in the absence of treatment. As a result, we would expect these mutants to undergo purifying selection and be rapidly driven to extinction. Nevertheless, pre-existing resistance is frequently observed from drug-resistant malaria to targeted cancer therapies in non-small cell lung cancer (NSCLC) and melanoma. Solutions to this apparent paradox have taken several forms from spatial rescue to simple mutation supply arguments. Recently, in an evolved resistant NSCLC cell line, we found that frequency-dependent ecological interactions between ancestor and resistant mutant ameliorate the cost of resistance in the absence of treatment. Here, we hypothesize that frequency-dependent ecological interactions in general play a major role in the prevalence of pre-existing resistance. We combine numerical simulations with robust analytical approximations to provide a rigorous mathematical framework for studying the effects of frequency-dependent ecological interactions on the evolutionary dynamics of pre-existing resistance. First, we find that ecological interactions significantly expand the parameter regime under which we expect to observe pre-existing resistance. Next, even when positive ecological interactions between mutants and ancestors are rare, these clones provide the primary mode of evolved resistance because their positive interaction leads to significantly longer extinction times. We then find that even in the case where mutation supply alone is sufficient to predict pre-existing resistance, frequency-dependent ecological forces still contribute a strong evolutionary pressure that selects for increasingly positive ecological effects. Finally, we genetically engineer several of the most common clinically observed resistance mechanisms to targeted therapies in NSCLC, a treatment notorious for pre-existing resistance. We find that each engineered mutant displays a positive ecological interaction with their ancestor, as predicted our theoretical work. As a whole, these results suggest that frequency-dependent ecological effects may provide the primary mode by which pre-existing resistance emerges.
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spelling pubmed-100551142023-03-30 Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance Maltas, Jeff Tadele, Dagim Shiferaw Durmaz, Arda McFarland, Christopher D. Hinczewski, Michael Scott, Jacob G. bioRxiv Article The evolution of resistance remains one of the primary challenges for modern medicine from infectious diseases to cancers. Many of these resistance-conferring mutations often carry a substantial fitness cost in the absence of treatment. As a result, we would expect these mutants to undergo purifying selection and be rapidly driven to extinction. Nevertheless, pre-existing resistance is frequently observed from drug-resistant malaria to targeted cancer therapies in non-small cell lung cancer (NSCLC) and melanoma. Solutions to this apparent paradox have taken several forms from spatial rescue to simple mutation supply arguments. Recently, in an evolved resistant NSCLC cell line, we found that frequency-dependent ecological interactions between ancestor and resistant mutant ameliorate the cost of resistance in the absence of treatment. Here, we hypothesize that frequency-dependent ecological interactions in general play a major role in the prevalence of pre-existing resistance. We combine numerical simulations with robust analytical approximations to provide a rigorous mathematical framework for studying the effects of frequency-dependent ecological interactions on the evolutionary dynamics of pre-existing resistance. First, we find that ecological interactions significantly expand the parameter regime under which we expect to observe pre-existing resistance. Next, even when positive ecological interactions between mutants and ancestors are rare, these clones provide the primary mode of evolved resistance because their positive interaction leads to significantly longer extinction times. We then find that even in the case where mutation supply alone is sufficient to predict pre-existing resistance, frequency-dependent ecological forces still contribute a strong evolutionary pressure that selects for increasingly positive ecological effects. Finally, we genetically engineer several of the most common clinically observed resistance mechanisms to targeted therapies in NSCLC, a treatment notorious for pre-existing resistance. We find that each engineered mutant displays a positive ecological interaction with their ancestor, as predicted our theoretical work. As a whole, these results suggest that frequency-dependent ecological effects may provide the primary mode by which pre-existing resistance emerges. Cold Spring Harbor Laboratory 2023-09-06 /pmc/articles/PMC10055114/ /pubmed/36993678 http://dx.doi.org/10.1101/2023.03.16.533001 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Maltas, Jeff
Tadele, Dagim Shiferaw
Durmaz, Arda
McFarland, Christopher D.
Hinczewski, Michael
Scott, Jacob G.
Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance
title Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance
title_full Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance
title_fullStr Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance
title_full_unstemmed Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance
title_short Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance
title_sort frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055114/
https://www.ncbi.nlm.nih.gov/pubmed/36993678
http://dx.doi.org/10.1101/2023.03.16.533001
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