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Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology

Complex evolutionary dynamics governing the drug resistance is one of the major challenges in cancer treatment. Understanding these mechanisms requires a sequencing technology with higher resolution to delineate whether pre-existing or de novo drug mechanisms are behind the drug resistance. Combinin...

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Autores principales: Yalcin, Gizem Damla, Yilmaz, Kubra Celikbas, Dilber, Tugce, Acar, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521976/
https://www.ncbi.nlm.nih.gov/pubmed/37751451
http://dx.doi.org/10.1371/journal.pone.0291942
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author Yalcin, Gizem Damla
Yilmaz, Kubra Celikbas
Dilber, Tugce
Acar, Ahmet
author_facet Yalcin, Gizem Damla
Yilmaz, Kubra Celikbas
Dilber, Tugce
Acar, Ahmet
author_sort Yalcin, Gizem Damla
collection PubMed
description Complex evolutionary dynamics governing the drug resistance is one of the major challenges in cancer treatment. Understanding these mechanisms requires a sequencing technology with higher resolution to delineate whether pre-existing or de novo drug mechanisms are behind the drug resistance. Combining this technology with clinically very relevant model system, namely 3D spheroids, better mimicking tumorigenesis and drug resistance have so far been lacking. Thus, we sought to establish dabrafenib and irinotecan resistant derivatives of barcoded 3D spheroids with the ultimate aim to quantify the selection-induced clonal dynamics and identify the genomic determinants in this model system. We found that dabrafenib and irinotecan induced drug resistance in 3D-HT-29 and 3D-HCT-116 spheroids are mediated by pre-existing and de novo resistant barcodes, indicating the presence of polyclonal drug resistance in this system. Moreover, whole-exome sequencing analysis found chromosomal gains and mutations associated with dabrafenib and irinotecan resistance in 3D-HT-29 and 3D-HCT-116 spheroids. Last, we show that dabrafenib and irinotecan resistance are also mediated by multiple drug resistance by detection of upregulation of the drug efflux pumps, ABCB1 and ABCG2, in our spheroid model system. Overall, we present the quantification of drug resistance and evolutionary dynamics in spheroids for the first time using cellular barcoding technology and the underlying genomic determinants of the drug resistance in our model system.
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spelling pubmed-105219762023-09-27 Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology Yalcin, Gizem Damla Yilmaz, Kubra Celikbas Dilber, Tugce Acar, Ahmet PLoS One Research Article Complex evolutionary dynamics governing the drug resistance is one of the major challenges in cancer treatment. Understanding these mechanisms requires a sequencing technology with higher resolution to delineate whether pre-existing or de novo drug mechanisms are behind the drug resistance. Combining this technology with clinically very relevant model system, namely 3D spheroids, better mimicking tumorigenesis and drug resistance have so far been lacking. Thus, we sought to establish dabrafenib and irinotecan resistant derivatives of barcoded 3D spheroids with the ultimate aim to quantify the selection-induced clonal dynamics and identify the genomic determinants in this model system. We found that dabrafenib and irinotecan induced drug resistance in 3D-HT-29 and 3D-HCT-116 spheroids are mediated by pre-existing and de novo resistant barcodes, indicating the presence of polyclonal drug resistance in this system. Moreover, whole-exome sequencing analysis found chromosomal gains and mutations associated with dabrafenib and irinotecan resistance in 3D-HT-29 and 3D-HCT-116 spheroids. Last, we show that dabrafenib and irinotecan resistance are also mediated by multiple drug resistance by detection of upregulation of the drug efflux pumps, ABCB1 and ABCG2, in our spheroid model system. Overall, we present the quantification of drug resistance and evolutionary dynamics in spheroids for the first time using cellular barcoding technology and the underlying genomic determinants of the drug resistance in our model system. Public Library of Science 2023-09-26 /pmc/articles/PMC10521976/ /pubmed/37751451 http://dx.doi.org/10.1371/journal.pone.0291942 Text en © 2023 Yalcin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yalcin, Gizem Damla
Yilmaz, Kubra Celikbas
Dilber, Tugce
Acar, Ahmet
Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology
title Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology
title_full Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology
title_fullStr Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology
title_full_unstemmed Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology
title_short Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology
title_sort investigation of evolutionary dynamics for drug resistance in 3d spheroid model system using cellular barcoding technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521976/
https://www.ncbi.nlm.nih.gov/pubmed/37751451
http://dx.doi.org/10.1371/journal.pone.0291942
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