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We are analyzing https://link.springer.com/article/10.1186/s40478-015-0265-4.

Title:
PI3 kinase mutations and mutational load as poor prognostic markers in diffuse glioma patients | Acta Neuropathologica Communications
Description:
Introduction Recent advances in molecular diagnostics allow diffuse gliomas to be classified based on their genetic changes into distinct prognostic subtypes. However, a systematic analysis of all molecular markers has thus far not been performed; most classification schemes use a predefined and select set of genes/molecular markers. Here, we have analysed the TCGA dataset (combined glioblastoma (GBM) and lower grade glioma (LGG) datasets) to identify all prognostic genetic markers in diffuse gliomas in order to generate a comprehensive classification scheme. Results Of the molecular markers investigated (all genes mutated at a population frequency >1.7 % and frequent chromosomal imbalances) in the entire glioma dataset, 57 were significantly associated with overall survival. Of these, IDH1 or IDH2 mutations are associated with lowest hazard ratio, which confirms IDH as the most important prognostic marker in diffuse gliomas. Subsequent subgroup analysis largely confirms many of the currently used molecular classification schemes for diffuse gliomas (ATRX or TP53 mutations, 1p19q codeletion). Our analysis also identified PI3-kinase mutations as markers of poor prognosis in IDH-mutated + ATRX/TP53 mutated diffuse gliomas, median survival 3.7 v. 6.3 years (P = 0.02, Hazard rate (HR) 2.93, 95 % confidence interval (CI) 1.16 – 7.38). PI3-kinase mutations were also prognostic in two independent datasets. In our analysis, no additional molecular markers were identified that further refine the molecular classification of diffuse gliomas. Interestingly, these molecular classifiers do not fully explain the variability in survival observed for diffuse glioma patients. We demonstrate that tumor grade remains an important prognostic factor for overall survival in diffuse gliomas, even within molecular glioma subtypes. Tumor grade was correlated with the mutational load (the number of non-silent mutations) of the tumor: grade II diffuse gliomas harbour fewer genetic changes than grade III or IV, even within defined molecular subtypes (e.g. ATRX mutated diffuse gliomas). Conclusion We have identified PI3K mutations as novel prognostic markers in gliomas. We also demonstrate that the mutational load is associated with tumor grade. The increase in mutational load may partially explain the increased aggressiveness of higher grade diffuse gliomas when a subset of the affected genes actively contributes to gliomagenesis and/or progression.
Website Age:
28 years and 1 months (reg. 1997-05-29).

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🌠 Phenomenal Traffic: 5M - 10M visitors per month


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Keywords {🔍}

gliomas, grade, molecular, mutations, diffuse, survival, prognostic, tumor, genes, pubmed, article, analysis, google, scholar, table, glioma, tumors, data, idh, genetic, mutational, subtypes, cas, additional, load, classification, markers, mutated, identified, iii, patient, atrx, mutation, samples, age, idhwt, prognosis, astrocytomas, number, tcga, datasets, codeletion, file, patients, dataset, correlated, pikr, central, based, frequency,

Topics {✒️}

van den bent & pim article download pdf full size image neuropathology--haarlem consensus guidelines central nervous system 151 idh + atrx/tp53-mutated gliomas individual pi3-kinase mutations evidence-based diagnostic algorithm diffuse lower-grade gliomas perform log-rank tests idh-mutated diffuse gliomas identified pi3-kinase mutations tp53/atrx mutated gliomas grade ii/iii gliomas diaz jr la idh-mutated grade ii atrx/tp53 mutation status idh-wt diffuse gliomas entire chromosome/chromosomal arm atrx/tp53 mut tumors pi3-kinase pathway privacy choices/manage cookies natl cancer inst full access separated idh-mutated samples pi3-kinase mutations pi3 kinase mutations integrated genomic analysis low-frequency genes affect c-terminal domain creative commons license tert promoter mutations syngeneic glioma model adult malignant gliomas diffuse glioma patients lower grade glioma lipid kinase downstream receptor tyrosine kinases generated largely determines single molecular marker somatic genomic landscape genes chromosomes cancer determining 1p19q codeletion low grade glioma integrative genomic analysis classify diffuse gliomas small sample size article draaisma iii diffuse gliomas diffuse glioma stratified

Questions {❓}

  • Isocitrate dehydrogenase-1 mutations: a fundamentally new understanding of diffuse glioma?

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WebPage:
      mainEntity:
         headline:PI3 kinase mutations and mutational load as poor prognostic markers in diffuse glioma patients
         description:Recent advances in molecular diagnostics allow diffuse gliomas to be classified based on their genetic changes into distinct prognostic subtypes. However, a systematic analysis of all molecular markers has thus far not been performed; most classification schemes use a predefined and select set of genes/molecular markers. Here, we have analysed the TCGA dataset (combined glioblastoma (GBM) and lower grade glioma (LGG) datasets) to identify all prognostic genetic markers in diffuse gliomas in order to generate a comprehensive classification scheme. Of the molecular markers investigated (all genes mutated at a population frequency >1.7 % and frequent chromosomal imbalances) in the entire glioma dataset, 57 were significantly associated with overall survival. Of these, IDH1 or IDH2 mutations are associated with lowest hazard ratio, which confirms IDH as the most important prognostic marker in diffuse gliomas. Subsequent subgroup analysis largely confirms many of the currently used molecular classification schemes for diffuse gliomas (ATRX or TP53 mutations, 1p19q codeletion). Our analysis also identified PI3-kinase mutations as markers of poor prognosis in IDH-mutated + ATRX/TP53 mutated diffuse gliomas, median survival 3.7 v. 6.3 years (P = 0.02, Hazard rate (HR) 2.93, 95 % confidence interval (CI) 1.16 – 7.38). PI3-kinase mutations were also prognostic in two independent datasets. In our analysis, no additional molecular markers were identified that further refine the molecular classification of diffuse gliomas. Interestingly, these molecular classifiers do not fully explain the variability in survival observed for diffuse glioma patients. We demonstrate that tumor grade remains an important prognostic factor for overall survival in diffuse gliomas, even within molecular glioma subtypes. Tumor grade was correlated with the mutational load (the number of non-silent mutations) of the tumor: grade II diffuse gliomas harbour fewer genetic changes than grade III or IV, even within defined molecular subtypes (e.g. ATRX mutated diffuse gliomas). We have identified PI3K mutations as novel prognostic markers in gliomas. We also demonstrate that the mutational load is associated with tumor grade. The increase in mutational load may partially explain the increased aggressiveness of higher grade diffuse gliomas when a subset of the affected genes actively contributes to gliomagenesis and/or progression.
         datePublished:2015-12-23T00:00:00Z
         dateModified:2015-12-23T00:00:00Z
         pageStart:1
         pageEnd:11
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/s40478-015-0265-4
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            Diffuse glioma
            PIK3CA
            PIK3R1
            Mutational load
            Tumor grade
            IDH1
            IDH2
            1p19q codeletion
            ATRX
            TP53
            Neurosciences
            Pathology
            Neurology
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                        name:Department of Human Genetics, University of Liège, Liège, Belgium
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      headline:PI3 kinase mutations and mutational load as poor prognostic markers in diffuse glioma patients
      description:Recent advances in molecular diagnostics allow diffuse gliomas to be classified based on their genetic changes into distinct prognostic subtypes. However, a systematic analysis of all molecular markers has thus far not been performed; most classification schemes use a predefined and select set of genes/molecular markers. Here, we have analysed the TCGA dataset (combined glioblastoma (GBM) and lower grade glioma (LGG) datasets) to identify all prognostic genetic markers in diffuse gliomas in order to generate a comprehensive classification scheme. Of the molecular markers investigated (all genes mutated at a population frequency >1.7 % and frequent chromosomal imbalances) in the entire glioma dataset, 57 were significantly associated with overall survival. Of these, IDH1 or IDH2 mutations are associated with lowest hazard ratio, which confirms IDH as the most important prognostic marker in diffuse gliomas. Subsequent subgroup analysis largely confirms many of the currently used molecular classification schemes for diffuse gliomas (ATRX or TP53 mutations, 1p19q codeletion). Our analysis also identified PI3-kinase mutations as markers of poor prognosis in IDH-mutated + ATRX/TP53 mutated diffuse gliomas, median survival 3.7 v. 6.3 years (P = 0.02, Hazard rate (HR) 2.93, 95 % confidence interval (CI) 1.16 – 7.38). PI3-kinase mutations were also prognostic in two independent datasets. In our analysis, no additional molecular markers were identified that further refine the molecular classification of diffuse gliomas. Interestingly, these molecular classifiers do not fully explain the variability in survival observed for diffuse glioma patients. We demonstrate that tumor grade remains an important prognostic factor for overall survival in diffuse gliomas, even within molecular glioma subtypes. Tumor grade was correlated with the mutational load (the number of non-silent mutations) of the tumor: grade II diffuse gliomas harbour fewer genetic changes than grade III or IV, even within defined molecular subtypes (e.g. ATRX mutated diffuse gliomas). We have identified PI3K mutations as novel prognostic markers in gliomas. We also demonstrate that the mutational load is associated with tumor grade. The increase in mutational load may partially explain the increased aggressiveness of higher grade diffuse gliomas when a subset of the affected genes actively contributes to gliomagenesis and/or progression.
      datePublished:2015-12-23T00:00:00Z
      dateModified:2015-12-23T00:00:00Z
      pageStart:1
      pageEnd:11
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/s40478-015-0265-4
      keywords:
         Diffuse glioma
         PIK3CA
         PIK3R1
         Mutational load
         Tumor grade
         IDH1
         IDH2
         1p19q codeletion
         ATRX
         TP53
         Neurosciences
         Pathology
         Neurology
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                     type:PostalAddress
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            name:Maarten M. J. Wijnenga
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                  address:
                     name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
                     type:PostalAddress
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            name:Bas Weenink
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                  name:Erasmus MC
                  address:
                     name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
                     type:PostalAddress
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            name:Ya Gao
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                  address:
                     name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
                     type:PostalAddress
                  type:Organization
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            name:Marcel Smid
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                  address:
                     name:Department of Medical Oncology, Erasmus MC, Rotterdam, The Netherlands
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                  address:
                     name:Department of Neurosurgery, UMC Utrecht, Utrecht, Netherlands
                     type:PostalAddress
                  type:Organization
                  name:University of Liège
                  address:
                     name:Department of Human Genetics, University of Liège, Liège, Belgium
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Martin J. van den Bent
            affiliation:
                  name:Erasmus MC
                  address:
                     name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
                     type:PostalAddress
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            name:Pim J. French
            affiliation:
                  name:Erasmus MC
                  address:
                     name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
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            address:
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               type:PostalAddress
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      name:Maarten M. J. Wijnenga
      affiliation:
            name:Erasmus MC
            address:
               name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
               type:PostalAddress
            type:Organization
      name:Bas Weenink
      affiliation:
            name:Erasmus MC
            address:
               name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
               type:PostalAddress
            type:Organization
      name:Ya Gao
      affiliation:
            name:Erasmus MC
            address:
               name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
               type:PostalAddress
            type:Organization
      name:Marcel Smid
      affiliation:
            name:Erasmus MC
            address:
               name:Department of Medical Oncology, Erasmus MC, Rotterdam, The Netherlands
               type:PostalAddress
            type:Organization
      name:P. Robe
      affiliation:
            name:UMC Utrecht
            address:
               name:Department of Neurosurgery, UMC Utrecht, Utrecht, Netherlands
               type:PostalAddress
            type:Organization
            name:University of Liège
            address:
               name:Department of Human Genetics, University of Liège, Liège, Belgium
               type:PostalAddress
            type:Organization
      name:Martin J. van den Bent
      affiliation:
            name:Erasmus MC
            address:
               name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
               type:PostalAddress
            type:Organization
      name:Pim J. French
      affiliation:
            name:Erasmus MC
            address:
               name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
      name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
      name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
      name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
      name:Department of Medical Oncology, Erasmus MC, Rotterdam, The Netherlands
      name:Department of Neurosurgery, UMC Utrecht, Utrecht, Netherlands
      name:Department of Human Genetics, University of Liège, Liège, Belgium
      name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
      name:Department of Neurology, Erasmus MC, Rotterdam, The Netherlands

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