Araştırma Çıktıları

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Subject: search.filters.subject.Glioma

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    Longitudinal analysis of treatment-induced genomic alterations in gliomas
    (BIOMED CENTRAL LTD, 2017-01-01) Erson-Omay, E. Zeynep; Henegariu, Octavian; Omay, S. Bulent; Harmanci, Akdes Serin; Youngblood, Mark W.; Mishra-Gorur, Ketu; Li, Jie; Ozduman, Koray; Carrion-Grant, Geneive; Clark, Victoria E.; Caglar, Caner; Bakircioglu, Mehmet; Pamir, M. Necmettin; Tabar, Viviane; Vortmeyer, Alexander O.; Bilguvar, Kaya; Yasuno, Katsuhito; DeAngelis, Lisa M.; Baehring, Joachim M.; Moliterno, Jennifer; Gunel, Murat
    Background: Glioblastoma multiforme (GBM) constitutes nearly half of all malignant brain tumors and has a median survival of 15 months. The standard treatment for these lesions includes maximal resection, radiotherapy, and chemotherapy
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    Sequential filtering for clinically relevant variants as a method for clinical interpretation of whole exome sequencing findings in glioma
    (BMC, 2021-01-01) Ulgen, Ege; Can, Ozge; Bilguvar, Kaya; Boylu, Cemaliye Akyerli; Yuksel, Sirin Kilicturgay; Danyeli, Ayca Ersen; Sezerman, O. Ugur; Yakicier, M. Cengiz; Pamir, M. Necmettin; Ozduman, Koray
    Background In the clinical setting, workflows for analyzing individual genomics data should be both comprehensive and convenient for clinical interpretation. In an effort for comprehensiveness and practicality, we attempted to create a clinical individual whole exome sequencing (WES) analysis workflow, allowing identification of genomic alterations and presentation of neurooncologically-relevant findings. Methods The analysis workflow detects germline and somatic variants and presents: (1) germline variants, (2) somatic short variants, (3) tumor mutational burden (TMB), (4) microsatellite instability (MSI), (5) somatic copy number alterations (SCNA), (6) SCNA burden, (7) loss of heterozygosity, (8) genes with double-hit, (9) mutational signatures, and (10) pathway enrichment analyses. Using the workflow, 58 WES analyses from matched blood and tumor samples of 52 patients were analyzed: 47 primary and 11 recurrent diffuse gliomas. Results The median mean read depths were 199.88 for tumor and 110.955 for normal samples. For germline variants, a median of 22 (14-33) variants per patient was reported. There was a median of 6 (0-590) reported somatic short variants per tumor. A median of 19 (0-94) broad SCNAs and a median of 6 (0-12) gene-level SCNAs were reported per tumor. The gene with the most frequent somatic short variants was TP53 (41.38\%). The most frequent chromosome-/arm-level SCNA events were chr7 amplification, chr22q loss, and chr10 loss. TMB in primary gliomas were significantly lower than in recurrent tumors (p = 0.002). MSI incidence was low (6.9\%). Conclusions We demonstrate that WES can be practically and efficiently utilized for clinical analysis of individual brain tumors. The results display that NOTATES produces clinically relevant results in a concise but exhaustive manner.
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    Analysis of Mitochondrial DNA Control Region D-Loop in Gliomas: Result of 52 Patients
    (TURKISH NEUROSURGICAL SOC, 2021-01-01) Yuksel, Sirin Kilicturgay; Ozduman, Koray; Yilmaz, Engin; Pamir, M. Necmettin; Akyerli, Cemaliye B.
    AIM: To investigate the effect of mitochondrial DNA (mtDNA) variants mainly in D-loop on glioma biology. MATERIAL and METHODS: Sanger sequencing of D-loop (15971-16451 bp) for 52 glioma patients was performed and the variations were statistically analyzed for gender, WHO classification, morphological grade, IDH/TERT status. RESULTS: Total of 122 variations (51 unique) were identified in 52 patients. C16223T, T16189C, T16311C and T16126C variants were frequently detected. The total variation number was statistically non-significant among the analyzed categories. When individual variants were considered, T16311C and T16224C were statistically significant for WHO classification (p=0.033), morphological grade (p=0.036) and gender (p=0.039), respectively. CONCLUSION: Total variation number in D-loop was not found to be related with clinical variables. Our data suggests that individual variants may play a critical role in glioma biology.