Mutations and Copy Number Alterations in IDH Wild-Type Glioblastomas Are Shaped by Different Oncogenic Mechanisms

dc.contributor.authorUlgen, Ege
dc.contributor.authorKaracan, Sila
dc.contributor.authorGerlevik, Umut
dc.contributor.authorCan, Ozge
dc.contributor.authorBilguvar, Kaya
dc.contributor.authorOktay, Yavuz
dc.contributor.authorB. Akyerli, Cemaliye
dc.contributor.authorK. Yuksel, Sirin
dc.contributor.authorE. Danyeli, Ayca
dc.contributor.authorTihan, Tarik
dc.contributor.authorSezerman, O. Ugur
dc.contributor.authorYakicier, M. Cengiz
dc.contributor.authorPamir, M. Necmettin
dc.contributor.authorOzduman, Koray
dc.date.accessioned2023-02-21T12:37:42Z
dc.date.available2023-02-21T12:37:42Z
dc.date.issued2020-01-01
dc.description.abstractLittle is known about the mutational processes that shape the genetic landscape of gliomas. Numerous mutational processes leave marks on the genome in the form of mutations, copy number alterations, rearrangements or their combinations. To explore gliomagenesis, we hypothesized that gliomas with different underlying oncogenic mechanisms would have differences in the burden of various forms of these genomic alterations. This was an analysis on adult diffuse gliomas, but IDH-mutant gliomas as well as diffuse midline gliomas H3-K27M were excluded to search for the possible presence of new entities among the very heterogenous group of IDH-WT glioblastomas. The cohort was divided into two molecular subsets: (1) Molecularly-defined GBM (mGBM) as those that carried molecular features of glioblastomas (including TERT promoter mutations, 7/10 pattern, or EGFR-amplification), and (2) those who did not (others). Whole exome sequencing was performed for 37 primary tumors and matched blood samples as well as 8 recurrences. Single nucleotide variations (SNV), short insertion or deletions (indels) and copy number alterations (CNA) were quantified using 5 quantitative metrics (SNV burden, indel burden, copy number alteration frequency-wGII, chromosomal arm event ratio-CAER, copy number amplitude) as well as 4 parameters that explored underlying oncogenic mechanisms (chromothripsis, double minutes, microsatellite instability and mutational signatures). Findings were validated in the TCGA pan-glioma cohort. mGBM and ``Others{''} differed significantly in their SNV (only in the TCGA cohort) and CNA metrics but not indel burden. SNV burden increased with increasing age at diagnosis and at recurrences and was driven by mismatch repair deficiency. On the contrary, indel and CNA metrics remained stable over increasing age at diagnosis and with recurrences. Copy number alteration frequency (wGII) correlated significantly with chromothripsis while CAER and CN amplitude correlated significantly with the presence of double minutes, suggesting separate underlying mechanisms for different forms of CNA.
dc.description.issue12
dc.description.issueDEC
dc.description.volume8
dc.identifier.doi10.3390/biomedicines8120574
dc.identifier.urihttps://hdl.handle.net/11443/2282
dc.identifier.urihttp://dx.doi.org/10.3390/biomedicines8120574
dc.identifier.wosWOS:000601852700001
dc.publisherMDPI
dc.relation.ispartofBIOMEDICINES
dc.subjectglioma
dc.subjectmutational signatures
dc.subjectDNA repair
dc.subjectexome sequencing
dc.titleMutations and Copy Number Alterations in IDH Wild-Type Glioblastomas Are Shaped by Different Oncogenic Mechanisms
dc.typeArticle

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