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Comparative proteogenomic characterization of glioblastoma

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 prot...

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Detalles Bibliográficos
Autores principales: Asif, Samia, Fatima, Rawish, Krc, Rebecca, Bennett, Joseph, Raza, Shahzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713026/
https://www.ncbi.nlm.nih.gov/pubmed/31290679
http://dx.doi.org/10.2217/cns-2019-0003
Descripción
Sumario: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.