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dc.contributor.authorZadeh, Gelareh
dc.contributor.authorMamatjan, Yasin
dc.contributor.authorVoisin, Mathew
dc.contributor.authorNassiri, Farshad
dc.contributor.authorSalih, Mira
dc.contributor.authorMoraes, Fabio Y.
dc.contributor.authorBunda, Severa
dc.contributor.authorTursun, Risalet
dc.contributor.authorvon Deimling, Andreas
dc.contributor.authorAldape, Kenneth D.
dc.date.accessioned2023-02-21T09:36:27Z
dc.date.available2023-02-21T09:36:27Z
dc.identifier.citationMamatjan Y., Voisin M., Nassiri F., Salih M., Moraes F. Y., Bunda S., Tursun R., von Deimling A., Aldape K. D., Zadeh G., "Identification of the Prognostic Signatures for Isocitrate Dehydrogenase Mutant Glioma", IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB), Ottawa, Kanada, 15 - 17 Ağustos 2022, ss.83-89
dc.identifier.otherav_3199d8d1-8bb8-443a-93d0-a7d0e736a440
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/187634
dc.identifier.urihttps://doi.org/10.1109/cibcb55180.2022.9863027
dc.description.abstractDiffuse gliomas can be divided based on presence or absence of mutation in isocitrate dehydrogenase (IDH) genes. IDH-mutant diffuse gliomas represent a wide range of clinical outcome, which is not accounted for by current clinical and pathologic parameters. To address this, we aim to identify and characterize a predictive signature of outcome in diffuse gliomas to better understand this heterogeneity in outcome. A total of 310 IDH mutant glioma samples with methylation data were used for the analysis together with 419 samples from The Cancer Genome Atlas (TCGA), utilizing methylation, mRNA, copy number variation (CNV) and mutation data to identify unique molecular signatures that predict patient outcome. Methylation analysis from our test cohort identified signatures from Cox regression analysis that split the glioma cohort into two prognostic groups that strongly predicted survival (p-value < 0.0001). The CpG-based signatures were reliably validated using two independent validation datasets from TCGA and DKFZ (German Cancer Research Center) cohorts (both p-values < 0.0001). The results show that the methylation signatures that predict poor outcome also correlated with G-CIMP low status, elevated CNV instability and hypermethylation of a set of HOX gene probes. These results demonstrate the importance of HOX genes in the outcome of diffuse gliomas to identify relevant molecular subtyping indistinguishable under the microscope within a histology.
dc.language.isoeng
dc.subjectTıbbi Bilişim
dc.subjectBiyokimya (tıbbi)
dc.subjectBilgisayarla Görme ve Örüntü Tanıma
dc.subjectBilgisayar Bilimi Uygulamaları
dc.subjectYapay Zeka
dc.subjectGenel Bilgisayar Bilimi
dc.subjectFizik Bilimleri
dc.subjectBilgisayar Bilimi (çeşitli)
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMATEMATİKSEL VE HESAPLAMALI BİYOLOJİ
dc.subjectBiyoloji ve Biyokimya
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectTIBBİ BİLİŞİM
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectYaşam Bilimleri
dc.subjectBiyoinformatik
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyoistatistik ve Tıp Bilişimi
dc.subjectBiyokimya
dc.subjectTemel Bilimler
dc.subjectMühendislik ve Teknoloji
dc.titleIdentification of the Prognostic Signatures for Isocitrate Dehydrogenase Mutant Glioma
dc.typeBildiri
dc.contributor.departmentThompson Rivers Univ , ,
dc.contributor.firstauthorID4063236


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