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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 69, No. 23 ( 2009-12-01), p. 9065-9072
    Abstract: Gliomas are the most common primary brain tumors with heterogeneous morphology and variable prognosis. Treatment decisions in patients rely mainly on histologic classification and clinical parameters. However, differences between histologic subclasses and grades are subtle, and classifying gliomas is subject to a large interobserver variability. To improve current classification standards, we have performed gene expression profiling on a large cohort of glioma samples of all histologic subtypes and grades. We identified seven distinct molecular subgroups that correlate with survival. These include two favorable prognostic subgroups (median survival, & gt;4.7 years), two with intermediate prognosis (median survival, 1–4 years), two with poor prognosis (median survival, & lt;1 year), and one control group. The intrinsic molecular subtypes of glioma are different from histologic subgroups and correlate better to patient survival. The prognostic value of molecular subgroups was validated on five independent sample cohorts (The Cancer Genome Atlas, Repository for Molecular Brain Neoplasia Data, GSE12907, GSE4271, and Li and colleagues). The power of intrinsic subtyping is shown by its ability to identify a subset of prognostically favorable tumors within an external data set that contains only histologically confirmed glioblastomas (GBM). Specific genetic changes (epidermal growth factor receptor amplification, IDH1 mutation, and 1p/19q loss of heterozygosity) segregate in distinct molecular subgroups. We identified a subgroup with molecular features associated with secondary GBM, suggesting that different genetic changes drive gene expression profiles. Finally, we assessed response to treatment in molecular subgroups. Our data provide compelling evidence that expression profiling is a more accurate and objective method to classify gliomas than histologic classification. Molecular classification therefore may aid diagnosis and can guide clinical decision making. [Cancer Res 2009;69(23):9065–72]
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2009
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 32, No. 9 ( 2014-03-20), p. 886-896
    Abstract: Medulloblastoma comprises four distinct molecular subgroups: WNT, SHH, Group 3, and Group 4. Current medulloblastoma protocols stratify patients based on clinical features: patient age, metastatic stage, extent of resection, and histologic variant. Stark prognostic and genetic differences among the four subgroups suggest that subgroup-specific molecular biomarkers could improve patient prognostication. Patients and Methods Molecular biomarkers were identified from a discovery set of 673 medulloblastomas from 43 cities around the world. Combined risk stratification models were designed based on clinical and cytogenetic biomarkers identified by multivariable Cox proportional hazards analyses. Identified biomarkers were tested using fluorescent in situ hybridization (FISH) on a nonoverlapping medulloblastoma tissue microarray (n = 453), with subsequent validation of the risk stratification models. Results Subgroup information improves the predictive accuracy of a multivariable survival model compared with clinical biomarkers alone. Most previously published cytogenetic biomarkers are only prognostic within a single medulloblastoma subgroup. Profiling six FISH biomarkers (GLI2, MYC, chromosome 11 [chr11], chr14, 17p, and 17q) on formalin-fixed paraffin-embedded tissues, we can reliably and reproducibly identify very low-risk and very high-risk patients within SHH, Group 3, and Group 4 medulloblastomas. Conclusion Combining subgroup and cytogenetic biomarkers with established clinical biomarkers substantially improves patient prognostication, even in the context of heterogeneous clinical therapies. The prognostic significance of most molecular biomarkers is restricted to a specific subgroup. We have identified a small panel of cytogenetic biomarkers that reliably identifies very high-risk and very low-risk groups of patients, making it an excellent tool for selecting patients for therapy intensification and therapy de-escalation in future clinical trials.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2014
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. 3135-3135
    Abstract: Mutations in the gene encoding the isocitrate dehydrogenase 1 gene (IDH1) occur at a high frequency (up to 80%) in many different subtypes of glioma. In this study, we have screened for IDH1 mutations in a cohort of 496 gliomas. IDH1 mutations were most frequently observed in low grade gliomas with 395G & gt;A (R132H) representing & gt;90% of all IDH1 mutations. Interestingly, non-R132H mutations segregate in distinct histological and molecular subtypes of glioma. Histologically, they occur sporadically in classic oligodendrogliomas and at significantly higher frequency in other grade II and III gliomas. Genetically, non-R132H mutations occur in tumors with TP53 mutation, are virtually absent in tumors with loss of heterozygosity on 1p and 19q and accumulate in distinct (gene-expression profiling based) intrinsic molecular subtypes. The IDH1 mutation type does not affect patient survival. Our results were validated on an independent sample cohort, indicating that the IDH1 mutation spectrum may aid glioma subtype classification. Functional differences between R132H and non-R132H mutated IDH1 may explain the segregation in distinct glioma subtypes. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3135.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 4
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2011
    In:  Cancer Research Vol. 71, No. 8_Supplement ( 2011-04-15), p. 3932-3932
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 71, No. 8_Supplement ( 2011-04-15), p. 3932-3932
    Abstract: We have performed expression profiling on 276 glioma samples of all histological subtypes, which resulted in the identification of seven distinct molecular subgroups. Interestingly, pilocytic astrocytomas (PAs) (n=6; adults) were assigned to one specific molecular cluster, together with four other, more malignant, gliomas. All the non-PAs were histologically diagnosed as higher grade gliomas with pilocytic features. Interestingly, there was a dramatic difference between survival of PAs and gliomas of other histological subtypes in this molecular cluster ( & gt;10.6 years vs. 3.4 (avg.) years; p = 0.03). Validation with an external dataset containing only PAs (GSE12907) showed that PAs are virtually always assigned to this molecular cluster, confirming the stability of the cluster. However, similar to our dataset, a subset of samples of both the REMBRANDT (8%) and TCGA (1%) datasets was also assigned to this molecular cluster. To further explore the differences between PAs and non-PAs in this molecular cluster, we performed genotyping using SNP 6.0 chip arrays. As reported previously, all PAs have only one larger genetic aberration; a focal amplification on locus 7q34, which is indicative for the presence of the tandem duplication KIAA1549-BRAF. One of the four samples of other histology also had this identical genetic aberration as PAs. The other (3/4) non-PA gliomas showed more genetic aberrations than the PAs. All patients harboring the KIAA1549-BRAF duplication were still alive (“survivors”) at the moment of writing this abstract (survival 10.6-19.6 years), whereas the remaining patients (“non-survivors”) all died within 0.44-2.7 years. High copy EGFR amplification was seen in none of the survivors but all of the other tumors. None of the samples in this cluster showed an IDH1-132H mutation. Closer inspection of the SNP arrays indicated that all non-survivors are tetraploid, whilst tumors of all survivors are near diploid (except for 3n on 7q34). The ploidy of all samples is currently validated using Fluorescence In Situ Hybridization (FISH). Polyploidy was not observed in any of the other molecular clusters. Validation with the REMBRANDT and the TCGA datasets showed that non-PAs assigned to this molecular cluster had a poor survival, similar to the non-PAs in our dataset. Interestingly, tetraploidy and EGFR amplification were also seen in the GBM samples from the TCGA that were assigned to this cluster. Gliomas from other molecular subtypes did not show tetraploidy on SNP chip data. In conclusion, we have discovered and validated a glioma subtype that shares molecular (RNA expression profile) and histological features with PAs. In spite of these similarities (and in contrast to the PAs), such tumors have a relatively poor prognosis. They are characterized by EGFR amplification and a near tetraploid cytogenetic profile. Identification of this specific subtype may have important therapeutic consequences. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 3932. doi:10.1158/1538-7445.AM2011-3932
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
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  • 5
    In: European Journal of Cancer, Elsevier BV, Vol. 51, No. 7 ( 2015-05), p. 893-903
    Type of Medium: Online Resource
    ISSN: 0959-8049
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
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  • 6
    In: Acta Neuropathologica, Springer Science and Business Media LLC, Vol. 123, No. 4 ( 2012-4), p. 485-499
    Type of Medium: Online Resource
    ISSN: 0001-6322 , 1432-0533
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
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