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Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma
To understand how genomic heterogeneity of glioblastoma contributes to the poor response to therapy characteristic of this disease, we performed DNA and RNA sequencing on GBM tumor samples and the neurospheres and orthotopic xenograft models derived from them. We used the resulting data set to show...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934307/ https://www.ncbi.nlm.nih.gov/pubmed/29686388 http://dx.doi.org/10.1038/s41588-018-0105-0 |
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author | deCarvalho, Ana C. Kim, Hoon Poisson, Laila M. Winn, Mary E. Mueller, Claudius Cherba, David Koeman, Julie Seth, Sahil Protopopov, Alexei Felicella, Michelle Zheng, Siyuan Multani, Asha Jiang, Yongying Zhang, Jianhua Nam, Do-Hyun Petricoin, Emanuel F. Chin, Lynda Mikkelsen, Tom Verhaak, Roel G.W. |
author_facet | deCarvalho, Ana C. Kim, Hoon Poisson, Laila M. Winn, Mary E. Mueller, Claudius Cherba, David Koeman, Julie Seth, Sahil Protopopov, Alexei Felicella, Michelle Zheng, Siyuan Multani, Asha Jiang, Yongying Zhang, Jianhua Nam, Do-Hyun Petricoin, Emanuel F. Chin, Lynda Mikkelsen, Tom Verhaak, Roel G.W. |
author_sort | deCarvalho, Ana C. |
collection | PubMed |
description | To understand how genomic heterogeneity of glioblastoma contributes to the poor response to therapy characteristic of this disease, we performed DNA and RNA sequencing on GBM tumor samples and the neurospheres and orthotopic xenograft models derived from them. We used the resulting data set to show that somatic driver alterations including single nucleotide variants, focal DNA alterations, and oncogene amplification on extrachromosomal DNA (ecDNA) elements were in majority propagated from tumor to model systems. In several instances, ecDNAs and chromosomal alterations demonstrated divergent inheritance patterns and clonal selection dynamics during cell culture and xenografting. We infer that ecDNA inherited unevenly between offspring cells, a characteristic that affects the oncogenic potential of cells with more or fewer ecDNAs. Longitudinal patient tumor profiling found that oncogenic ecDNAs are frequently retained throughout the course of disease. Our analysis shows that extrachromosomal elements allow rapid increase of genomic heterogeneity during glioblastoma evolution, independent of chromosomal DNA alterations. |
format | Online Article Text |
id | pubmed-5934307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-59343072018-10-23 Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma deCarvalho, Ana C. Kim, Hoon Poisson, Laila M. Winn, Mary E. Mueller, Claudius Cherba, David Koeman, Julie Seth, Sahil Protopopov, Alexei Felicella, Michelle Zheng, Siyuan Multani, Asha Jiang, Yongying Zhang, Jianhua Nam, Do-Hyun Petricoin, Emanuel F. Chin, Lynda Mikkelsen, Tom Verhaak, Roel G.W. Nat Genet Article To understand how genomic heterogeneity of glioblastoma contributes to the poor response to therapy characteristic of this disease, we performed DNA and RNA sequencing on GBM tumor samples and the neurospheres and orthotopic xenograft models derived from them. We used the resulting data set to show that somatic driver alterations including single nucleotide variants, focal DNA alterations, and oncogene amplification on extrachromosomal DNA (ecDNA) elements were in majority propagated from tumor to model systems. In several instances, ecDNAs and chromosomal alterations demonstrated divergent inheritance patterns and clonal selection dynamics during cell culture and xenografting. We infer that ecDNA inherited unevenly between offspring cells, a characteristic that affects the oncogenic potential of cells with more or fewer ecDNAs. Longitudinal patient tumor profiling found that oncogenic ecDNAs are frequently retained throughout the course of disease. Our analysis shows that extrachromosomal elements allow rapid increase of genomic heterogeneity during glioblastoma evolution, independent of chromosomal DNA alterations. 2018-04-23 2018-05 /pmc/articles/PMC5934307/ /pubmed/29686388 http://dx.doi.org/10.1038/s41588-018-0105-0 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article deCarvalho, Ana C. Kim, Hoon Poisson, Laila M. Winn, Mary E. Mueller, Claudius Cherba, David Koeman, Julie Seth, Sahil Protopopov, Alexei Felicella, Michelle Zheng, Siyuan Multani, Asha Jiang, Yongying Zhang, Jianhua Nam, Do-Hyun Petricoin, Emanuel F. Chin, Lynda Mikkelsen, Tom Verhaak, Roel G.W. Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma |
title | Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma |
title_full | Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma |
title_fullStr | Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma |
title_full_unstemmed | Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma |
title_short | Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma |
title_sort | discordant inheritance of chromosomal and extrachromosomal dna elements contributes to dynamic disease evolution in glioblastoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934307/ https://www.ncbi.nlm.nih.gov/pubmed/29686388 http://dx.doi.org/10.1038/s41588-018-0105-0 |
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