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Comparative proteogenomic characterization of glioblastoma.


ABSTRACT: Aim: Glioblastoma multiforme (GBM) carries a dismal prognosis. Integrated proteogenomic analysis was performed to understand GBM pathophysiology. Patients & methods: 17 patient samples were analyzed for driver mutations, oncogenes, major pathway alterations and molecular changes at gene and protein level. Clinical, treatment and survival data were collected. Results: Significantly mutated genes included TP53, EGFR, PIK3R1, PTEN, NF1, RET and STAG2. EGFR mutations noted included EGFRvIII-expression, EGFR-L816Q missense mutation-exon 21 and EGFR fusion (FGFR3-TACC3). TP53 mutations were noticed in COSMIC hot-spot driver gene and accompany IDH1 and ATRX mutations suggesting low- to high-grade glioma transformation. Proteomics showed higher (53%) EGFR expression than genomic expression (23%). MGMT methylation was present in two-thirds of cases. Conclusion: This study identifies a distinct biological process that may characterize each GBM differently. Proteogenomic data identify potential therapeutic targets of GBM.

SUBMITTER: Asif S 

PROVIDER: S-EPMC6713026 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Comparative proteogenomic characterization of glioblastoma.

Asif Samia S   Fatima Rawish R   Krc Rebecca R   Bennett Joseph J   Raza Shahzad S  

CNS oncology 20190601 2


<b>Aim:</b> Glioblastoma multiforme (GBM) carries a dismal prognosis. Integrated proteogenomic analysis was performed to understand GBM pathophysiology. <b>Patients & methods:</b> 17 patient samples were analyzed for driver mutations, oncogenes, major pathway alterations and molecular changes at gene and protein level. Clinical, treatment and survival data were collected. <b>Results:</b> Significantly mutated genes included <i>TP53</i>, <i>EGFR</i>, <i>PIK3R1</i>, <i>PTEN</i>, <i>NF1</i>, <i>RET  ...[more]

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