2018
DOI: 10.1007/s00401-018-1912-1
|View full text |Cite
|
Sign up to set email alerts
|

Structure and evolution of double minutes in diagnosis and relapse brain tumors

Abstract: Double minute chromosomes are extrachromosomal circular DNA fragments frequently found in brain tumors. To understand their evolution, we characterized the double minutes in paired diagnosis and relapse tumors from a pediatric high-grade glioma and four adult glioblastoma patients. We determined the full structures of the major double minutes using a novel approach combining multiple types of supporting genomic evidence. Among the double minutes identified in the pediatric patient, only one carrying EGFR was m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
76
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
3
3
2

Relationship

1
7

Authors

Journals

citations
Cited by 73 publications
(80 citation statements)
references
References 39 publications
2
76
0
Order By: Relevance
“…We extend this observation to homogeneously staining regions, which form extremely expanded stretches of chromatin in interphase nuclei and lose chromosomal territoriality 25 Reconstruction of amplicons has previously relied on combining structural breakpoint coordinates to infer the underlying structure. This regularly resulted in ambiguous amplicon reconstructions, which had to be addressed by secondary data such as Chromium linked reads or optical mapping 4,6,24 . We demonstrate the feasibility of long-read de novo assembly for the reconstruction of amplified genomic neighborhoods.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We extend this observation to homogeneously staining regions, which form extremely expanded stretches of chromatin in interphase nuclei and lose chromosomal territoriality 25 Reconstruction of amplicons has previously relied on combining structural breakpoint coordinates to infer the underlying structure. This regularly resulted in ambiguous amplicon reconstructions, which had to be addressed by secondary data such as Chromium linked reads or optical mapping 4,6,24 . We demonstrate the feasibility of long-read de novo assembly for the reconstruction of amplified genomic neighborhoods.…”
Section: Discussionmentioning
confidence: 99%
“…Over time, amplified DNA acquires additional internal rearrangements as well as coding mutations, which can confer adaptive advantages such as resistance to targeted therapy [5][6][7] .…”
Section: Introductionmentioning
confidence: 99%
“…Amplification was confirmed in selected cases by fluorescence in situ hybridization, which demonstrated a double minute pattern, a finding typical of episomal amplification (Fig. 4C) 16 . There was a trend toward an increased frequency of chromothripsis in cases with a coincident pathogenic TP53 mutation (5/8 cases, 62.5%) relative to those with wild-type TP53 (0/4 cases, 0%, p=0.08).…”
Section: Resultsmentioning
confidence: 82%
“…Many of the abundant eccDNA loci intersect with unprocessed pseudogenes, which are known to have introns and regulatory sequences, but crippled by stop codons in the open reading frames (Tutar, 2012). Since eccDNA evolve and pick up substitution, insertion and deletion mutations (Turner et al, 2017;Xu et al, 2019), it is tempting to speculate that amplification of unprocessed pseudogenes on eccDNA and their evolution may make these genes translationally competent to give an unknown advantage during tumorigenesis.…”
Section: Discussionmentioning
confidence: 99%
“…This somatic copy number variation is present in 43% of GBM patients (Maire and Ligon, 2014). Recent studies have provided further evidence that this oncogenic amplification occurs on eccDNA (deCarvalho et al, 2018;Turner et al, 2017;Xu et al, 2019). To check if we can detect the eccDNA in ATAC-seq data generated from GBM cell lines we turned to six ATAC-seq libraries generated from GBM cell lines developed from a single glioblastoma patient (Xie et al, 2018).…”
Section: Identification Of Eccdna From Atac-seq Data For Glioblastomamentioning
confidence: 99%