Cargando…

DNA-based copy number analysis confirms genomic evolution of PDX models

Genomic evolution of patient-derived xenografts (PDXs) may lead to their gradual divergence away of their tumors of origin. We previously reported the genomic evolution of the copy number (CN) landscapes of PDXs during their engraftment and passaging(1). However, whether PDX models are highly stable...

Descripción completa

Detalles Bibliográficos
Autores principales: Hoge, Anna C. H., Getz, Michal, Zimmer, Anat, Ko, Minjeong, Raz, Linoy, Beroukhim, Rameen, Golub, Todd R., Ha, Gavin, Ben-David, Uri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050710/
https://www.ncbi.nlm.nih.gov/pubmed/35484194
http://dx.doi.org/10.1038/s41698-022-00268-6
_version_ 1784696430077673472
author Hoge, Anna C. H.
Getz, Michal
Zimmer, Anat
Ko, Minjeong
Raz, Linoy
Beroukhim, Rameen
Golub, Todd R.
Ha, Gavin
Ben-David, Uri
author_facet Hoge, Anna C. H.
Getz, Michal
Zimmer, Anat
Ko, Minjeong
Raz, Linoy
Beroukhim, Rameen
Golub, Todd R.
Ha, Gavin
Ben-David, Uri
author_sort Hoge, Anna C. H.
collection PubMed
description Genomic evolution of patient-derived xenografts (PDXs) may lead to their gradual divergence away of their tumors of origin. We previously reported the genomic evolution of the copy number (CN) landscapes of PDXs during their engraftment and passaging(1). However, whether PDX models are highly stable throughout passaging(2), or can evolve CNAs rapidly(1,3), remains controversial. Here, we reassess the genomic evolution of PDXs using DNA-based CN profiles. We find strong evidence for genomic evolution in the DNA-based PDX data: a median of ~10% of the genome is differentially altered between matched primary tumors (PTs) and PDXs across cohorts (range, 0% to 73% across all models). In 24% of the matched PT-PDX samples, over a quarter of the genome is differentially affected by CN alterations. Moreover, in matched analyses of PTs and their derived PDXs at multiple passages, later-passage PDXs are significantly less similar to their parental PTs than earlier-passage PDXs, indicative of genomic divergence. We conclude that PDX models indeed evolve throughout their derivation and propagation, and that the phenotypic consequences of this evolution ought to be assessed in order to determine its relevance to the proper application of these valuable cancer models.
format Online
Article
Text
id pubmed-9050710
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-90507102022-04-30 DNA-based copy number analysis confirms genomic evolution of PDX models Hoge, Anna C. H. Getz, Michal Zimmer, Anat Ko, Minjeong Raz, Linoy Beroukhim, Rameen Golub, Todd R. Ha, Gavin Ben-David, Uri NPJ Precis Oncol Brief Communication Genomic evolution of patient-derived xenografts (PDXs) may lead to their gradual divergence away of their tumors of origin. We previously reported the genomic evolution of the copy number (CN) landscapes of PDXs during their engraftment and passaging(1). However, whether PDX models are highly stable throughout passaging(2), or can evolve CNAs rapidly(1,3), remains controversial. Here, we reassess the genomic evolution of PDXs using DNA-based CN profiles. We find strong evidence for genomic evolution in the DNA-based PDX data: a median of ~10% of the genome is differentially altered between matched primary tumors (PTs) and PDXs across cohorts (range, 0% to 73% across all models). In 24% of the matched PT-PDX samples, over a quarter of the genome is differentially affected by CN alterations. Moreover, in matched analyses of PTs and their derived PDXs at multiple passages, later-passage PDXs are significantly less similar to their parental PTs than earlier-passage PDXs, indicative of genomic divergence. We conclude that PDX models indeed evolve throughout their derivation and propagation, and that the phenotypic consequences of this evolution ought to be assessed in order to determine its relevance to the proper application of these valuable cancer models. Nature Publishing Group UK 2022-04-28 /pmc/articles/PMC9050710/ /pubmed/35484194 http://dx.doi.org/10.1038/s41698-022-00268-6 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Brief Communication
Hoge, Anna C. H.
Getz, Michal
Zimmer, Anat
Ko, Minjeong
Raz, Linoy
Beroukhim, Rameen
Golub, Todd R.
Ha, Gavin
Ben-David, Uri
DNA-based copy number analysis confirms genomic evolution of PDX models
title DNA-based copy number analysis confirms genomic evolution of PDX models
title_full DNA-based copy number analysis confirms genomic evolution of PDX models
title_fullStr DNA-based copy number analysis confirms genomic evolution of PDX models
title_full_unstemmed DNA-based copy number analysis confirms genomic evolution of PDX models
title_short DNA-based copy number analysis confirms genomic evolution of PDX models
title_sort dna-based copy number analysis confirms genomic evolution of pdx models
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050710/
https://www.ncbi.nlm.nih.gov/pubmed/35484194
http://dx.doi.org/10.1038/s41698-022-00268-6
work_keys_str_mv AT hogeannach dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT getzmichal dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT zimmeranat dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT kominjeong dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT razlinoy dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT beroukhimrameen dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT golubtoddr dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT hagavin dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels
AT bendaviduri dnabasedcopynumberanalysisconfirmsgenomicevolutionofpdxmodels