Samia Asif, Rawish Fatima, Rebecca Krc, Joseph Bennett, Shahzad Raza
{"title":"胶质母细胞瘤的比较蛋白质基因组特征。","authors":"Samia Asif, Rawish Fatima, Rebecca Krc, Joseph Bennett, Shahzad Raza","doi":"10.2217/cns-2019-0003","DOIUrl":null,"url":null,"abstract":"<p><p><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</i> and <i>STAG2</i>. EGFR mutations noted included EGFRvIII-expression, EGFR-<i>L816Q</i> missense mutation-exon 21 and EGFR fusion (FGFR3-TACC3). <i>TP53</i> mutations were noticed in COSMIC hot-spot driver gene and accompany <i>IDH1</i> and <i>ATRX</i> 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. <b>Conclusion:</b> This study identifies a distinct biological process that may characterize each GBM differently. Proteogenomic data identify potential therapeutic targets of GBM.</p>","PeriodicalId":10469,"journal":{"name":"CNS Oncology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/18/6e/cns-08-37.PMC6713026.pdf","citationCount":"0","resultStr":"{\"title\":\"Comparative proteogenomic characterization of glioblastoma.\",\"authors\":\"Samia Asif, Rawish Fatima, Rebecca Krc, Joseph Bennett, Shahzad Raza\",\"doi\":\"10.2217/cns-2019-0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><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</i> and <i>STAG2</i>. EGFR mutations noted included EGFRvIII-expression, EGFR-<i>L816Q</i> missense mutation-exon 21 and EGFR fusion (FGFR3-TACC3). <i>TP53</i> mutations were noticed in COSMIC hot-spot driver gene and accompany <i>IDH1</i> and <i>ATRX</i> 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. <b>Conclusion:</b> This study identifies a distinct biological process that may characterize each GBM differently. Proteogenomic data identify potential therapeutic targets of GBM.</p>\",\"PeriodicalId\":10469,\"journal\":{\"name\":\"CNS Oncology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/18/6e/cns-08-37.PMC6713026.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CNS Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2217/cns-2019-0003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2019/7/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CNS Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/cns-2019-0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/7/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
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 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.