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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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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 |
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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 |
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