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      Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma

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          Abstract

          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.

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          Most cited references27

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          CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005-2009.

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            DNA damage and the balance between survival and death in cancer biology.

            DNA is vulnerable to damage resulting from endogenous metabolites, environmental and dietary carcinogens, some anti-inflammatory drugs, and genotoxic cancer therapeutics. Cells respond to DNA damage by activating complex signalling networks that decide cell fate, promoting not only DNA repair and survival but also cell death. The decision between cell survival and death following DNA damage rests on factors that are involved in DNA damage recognition, and DNA repair and damage tolerance, as well as on factors involved in the activation of apoptosis, necrosis, autophagy and senescence. The pathways that dictate cell fate are entwined and have key roles in cancer initiation and progression. Furthermore, they determine the outcome of cancer therapy with genotoxic drugs. Understanding the molecular basis of these pathways is important not only for gaining insight into carcinogenesis, but also in promoting successful cancer therapy. In this Review, we describe key decision-making nodes in the complex interplay between cell survival and death following DNA damage.
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              Mosaic amplification of multiple receptor tyrosine kinase genes in glioblastoma.

              Tumor heterogeneity has been implicated in tumor growth and progression as well as resistance to therapy. We present an example of genetic heterogeneity in human malignant brain tumors in which multiple closely related driver genes are amplified and activated simultaneously in adjacent intermingled cells. We have observed up to three different receptor tyrosine kinases (EGFR, MET, PDGFRA) amplified in single tumors in different cells in a mutually exclusive fashion. Each subpopulation was actively dividing, and the genetic changes resulted in protein production, and coexisting subpopulations shared common early genetic mutations indicating their derivation from a single precursor cell. The stable coexistence of different clones within the same tumor will have important clinical implications for tumor resistance to targeted therapies. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                1 March 2018
                23 April 2018
                May 2018
                23 October 2018
                : 50
                : 5
                : 708-717
                Affiliations
                [1 ]Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA
                [2 ]The Jackson Laboratory for Genomic Medicine, Farmington, CT 06130, USA
                [3 ]Department of Public Health Sciences, Henry Ford Hospital, Detroit, MI 48202, USA
                [4 ]Bioinformatics and Biostatistics Core, Van Andel Research Institute, Grand Rapids, MI 49503, USA
                [5 ]Center for Applied Proteomics and Personalized Medicine, George Mason University, Manassas, VA, USA
                [6 ]Pathology and Biorepository Core, Van Andel Research Institute, Grand Rapids, MI 49503, USA
                [7 ]Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
                [8 ]Department of Pathology, Henry Ford Hospital, Detroit, MI 48202, USA
                [9 ]Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
                [10 ]Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
                [11 ]Institute for Refractory Cancer Research, Samsung Medical Center, Seoul 06351, Korea
                [12 ]Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea
                [13 ]Department of Neurosurgery Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 135-710, Korea
                [14 ]Department of Neurology, Henry Ford Hospital, Detroit, MI 48202, USA
                Author notes
                []Correspondence: adecarv1@ 123456hfhs.org (A.C.D.), tmikkel1@ 123456hfhs.org (T.M.), roel.verhaak@ 123456jax.org (R.G.W.V.)
                [*]

                These authors contributed equally to this work.

                Article
                NIHMS947218
                10.1038/s41588-018-0105-0
                5934307
                29686388
                259e6493-7aeb-4b16-8636-2a557cf8b1b0

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                Categories
                Article

                Genetics
                glioblastoma,double minute,extrachromosomal dna,tumor evolution
                Genetics
                glioblastoma, double minute, extrachromosomal dna, tumor evolution

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