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  • American Association for Cancer Research (AACR)  (19)
  • 11
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 6140-6140
    Abstract: Background: Glioblastoma is the most prevalent and severe type of malignant brain tumor in adults. Although the genetic make-up initiating glioblastoma is increasingly better understood, a better understanding in the mechanisms that drive its evolution, heterogeneity and therapy resistance may reveal new directions for therapy development. To get better insights into glioblastoma evolution, we analyzed and de-convoluted transcriptomes of primary and recurrent glioblastoma resections. Material and Methods: Matching primary and secondary resections from n=185 glioblastoma patients were collected as part of EORTC Study 1542. The study was extended with tumor pairs from n=51 patients from the international GLASS study. The datasets were subjected to differential and deconvolution analysis using in-house algorithms. Results: When mapping the tumor samples into a reduced Glioblastoma Intrinsic Transcriptional Subtype space, we visualized subtype traversal, indicating that the CL subtype most often switches. As we found no more transitions from MES to other subtypes than to be expected by chance, we concluded that MES is an end-state. On average, tumor cell percentages decreased from ~67% to ~50% mostly due to an increase in TAM/microglia. Differential expression analysis was performed with correction for tumor cell percentages. While expression of most known oncogenes did not change considerably over time, marker genes of TAM/microglia, neurons and oligodendrocytes were up-regulated whereas endothelial cell markers were down-regulated over time. Furthermore, a cluster of ~30 extracellular matrix-associated genes increase significantly over time. A signature representing the gene-set was significantly associated with poor survival; high signatures were in particular associated to survival in secondary resections (P = 6.613e-06, Kaplan-Meier estimator). This suggests that the increase of extracellular matrix expression fulfils an important role in glioblastoma evolution. Conclusion: Using a large cohort, we interrogated changes in the glioblastoma transcriptome over time and found that in particular the composition of the tumor and its environment changes. The tumor cell percentage drops, suggesting more invasion or recruitment of non-malignant cells or a combination of both. This change is independent of an increase in the prognostic increase in extracellular matrix expression. Citation Format: Youri Hoogstrate, Kaspar Draaisma, Santoesha A. Ghisai, Iris de Heer, Levi van Hijfte, Wouter Coppieters, Melissa Kerkhof, Astrid Weyerbrock, Marc Sanson, Ann Hoeben, Slávka Lukacova, Giuseppe Lombardi, Sieger Leenstra, Monique Hanse, Ruth Fleischeuer, Colin Watts, Joseph McAbee, Nicos Angelopoulos, Thierry Gorlia, Vassilis Golfinopoulos, Johan M. Kros, Vincent Bours, Martin J. van den Bent, Pierre A. Robe, Pim J. French. Transcriptional evolution of glioblastoma reveals changes in bulk composition, mesenchymal sub-type as end-state, and a prognostic association with increased extracellular matrix gene expression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6140.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 12
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3142-3142
    Abstract: Background: Causal genetic changes in oligodendrogliomas (OD) with 1p/19q codeletion include mutations in IDH1, IDH2, CIC and FUBP1. Here, we have performed whole genome sequencing on three ODs to determine whether additional genetic changes contribute to tumor formation. Methods: We performed whole genome sequencing of DNA from 3 ODs grade III with 1p/19q codeletion and matched germline DNA. Targeted resequencing of identified genes was performed in an additional 32 ODs with 1p19q LOH (28/32) or partial loss of 1p (2/32), 19q (2/32). All mutations were validated by Sanger sequencing. Constructs of wildtype and mutated genes were subsequently generated (n=13), fused to GFP for visualization. Established cell lines were created to perform functional analysis. Results: Whole genome sequencing identified a total of 55 mutations in coding exons (range 8-32 mutations per tumor), including the known molecular abnormalities in IDH1 (2/3), IDH2 (1/3), CIC (2/3) and FUBP1 (1/3). Mutations in the ATRX gene were not identified. In addition to these known genes, we identified mutations in additional genes, most of which were previously not implicated in ODs. We first examined the mutation frequency of these genes in an additional 32 tumors. No additional mutations were identified. We then performed functional analysis on a subset of these mutations. For ZNF238, we observed a difference in the sub cellular localization between wildtype and mutant contructs; the wildtype protein localized to the nucleus while the mutant protein is present in the cytoplasm. In addition, stably transfected ZNF238 mutant cell line shows increased proliferation compared to wildtype. Conclusion: Our results confirm that mutations in IDH, CIC and FUBP1 are present at high frequency in oligodendrogliomas with 1p/19q loss. Functional analysis of infrequently mutated genes provide evidence that they contribute to oncogenesis. Citation Format: Lale Erdem-Eraslan, Maurice de Wit, Daphne Heijsman, Andreas Kremer, Peter J. van der Spek, Peter A.E. Sillevis Smitt, Pim J. French. Whole genome sequencing of oligodendrogliomas identifies genes mutated at a low frequency that contribute to tumor formation. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3142. doi:10.1158/1538-7445.AM2013-3142
    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: 2013
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  • 13
    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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  • 14
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 17, No. 22 ( 2011-11-15), p. 7148-7155
    Abstract: Purpose: The MGMT promoter methylation status has been suggested to be predictive for outcome to temozolomide chemotherapy in patients with glioblastoma (GBM). Subsequent studies indicated that MGMT promoter methylation is a prognostic marker even in patients treated with radiotherapy alone, both in GBMs and in grade III gliomas. Experimental Design: To help determine the molecular mechanism behind this prognostic effect, we have conducted genome-wide methylation profiling and determined the MGMT promoter methylation status, 1p19q LOH, IDH1 mutation status, and expression profile on a series of oligodendroglial tumors [anaplastic oligodendrogliomas (AOD) and anaplastic oligoastrocytomas (AOA)] within EORTC study 26951. The series was expanded with tumors of the same histology and treatment from our own archive. Results: Methylation profiling identified two main subgroups of oligodendroglial brain tumors of which survival in the CpG island hypermethylation phenotype (CIMP+) subgroup was markedly better than the survival of the unmethylated (CIMP−) subgroup (5.62 vs. 1.24 years; P & lt; 0.0001). CIMP status correlated with survival, MGMT promoter methylation, 1p19q LOH, and IDH1 mutation status. CIMP status strongly increases the predictive accuracy of survival in a model including known clinical prognostic factors such as age and performance score. We validated our results on an independent data set from the Cancer Genome Atlas (TCGA). Conclusion: The strong association between CIMP status and MGMT promoter methylation suggests that the MGMT promoter methylation status is part of a more general, prognostically favorable genome-wide methylation profile. Methylation profiling therefore may help identify AODs and AOAs with improved prognosis. Clin Cancer Res; 17(22); 7148–55. ©2011 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
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  • 15
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    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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  • 16
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    American Association for Cancer Research (AACR) ; 2016
    In:  Cancer Research Vol. 76, No. 14_Supplement ( 2016-07-15), p. 4170-4170
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 4170-4170
    Abstract: The gene encoding Isocitrate dehydrogenase 1 (IDH1) is frequently mutated in gliomas, chondrosarcomas, acute myeloid leukemia and intrahepatic cholangiocarcinomas. As there are few in-vivo model systems for IDH-mutated tumors we have created a transgenic zebrafish (Danio rerio) model expressing mutant IDH1. We have chosen the zebrafish as a model because they are transparent (allowing monitoring of the transgene in-vivo) and drug screening assays are straightforward (they are simply added to the aquarium). IDH1R132H and IDH1R132C, mutations found in tumors that both produce D-2-hydroxyglutarate (D2HG) instead of alpha ketoglutarate, were cloned into an expression construct that is driven either by the Nestin or GFAP promoter. IDH1G70D (a loss of function mutation), IDH1wildtype and GFP were used as control. All IDH1 constructs were fused to GFP for visualization. These constructs were injected into fertilized zebrafish eggs at the one-cell stage. All of our transgenic zebrafish lines remain healthy and produce offspring. Transgene expression was detected in the mid/hindbrain of the central nervous system by immunohistochemistry, Western blot and RT-QPCR. A significant increase in the level of D2HG was observed in all transgenic lines expressing IDH1R132C or IDH1R132H, but not in any of the lines expressing control constructs (IDH1wildtype, IDH1G70D or GFP). In contrast to reported, we failed to detect any differences in hydroxymethyl cytosine (the first step in DNA-demethylation) and mature collagen IV levels between wildtype and mutant IDH1 transgenic fish. We also performed microinjections on fertilized eggs to screen for early developmental effects of IDH1R132H and IDH1R132C. Despite of the high expression of the transgene, no developmental effects were found. Our observations therefore suggest that elevated levels of D2HG are insufficient to initiate tumorigenesis or other phenotypic effects in our fish. Treatment of the transgenic zebrafish with an IDH1 mutant inhibitor, AGI-5198, resulted in a reduction in the D2HG level in the mutant zebrafish. The L2HG level was not affected by AGI-5198. As no tumors were formed in our transgenic zebrafish lines, we backcrossed them with Tp53 mutant fish. Analysis of these lines is currently being performed. In summary, we have generated a transgenic zebrafish model system that expresses mutated IDH1 that can be used to study effects of mutant IDH1 (or elevated levels of D2HG) in vivo and can be used for drug screening. Citation Format: Ya D. Gao, Maurice de Wit, Eduard A. Struys, Martine L.M. Lamfers, Gajja S. Salomons, Peter A.E. Sillevis Smitt, Pim J. French. A transgenic zebrafish model for gliomas with mutations in isocitrate dehydrogenase 1. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4170.
    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: 2016
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  • 17
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    American Association for Cancer Research (AACR) ; 2022
    In:  Cancer Research Vol. 82, No. 12_Supplement ( 2022-06-15), p. 1228-1228
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 1228-1228
    Abstract: Background: Spatially resolved transcriptomics is a novel and already highly recognized method that allows RNA sequencing results to be annotated with local tissue phenotypes. The NanoString GeoMx Digital Spatial Profiling (DSP) Platform allows users to collect RNA expression data from manually selected Regions of Interest (ROIs) on FFPE tissue sections. Here, we extensively evaluated data from the DSP platform with its associated pipeline and identify significant background noise interference issues which compromise data interpretation. Alternative and more suitable workflows are presented for correct data analysis. Methods: In this study, 12 paired tumor samples were collected from six glioma patients who underwent two separate resections. For all patients, the first resection was a low grade astrocytoma (WHO grade II or III) and the second resection was a high grade astrocytoma (WHO grade IV). The DSP platform was used to collect expression data of 1,800 genes from 72 ROIs (i.e. 6 per sample). Biological replicates were made of eight tumors from four patients. Gene expression data was normalized with both standard NanoString methods and several alternative methods (e.g. DeSeq2, gamma fit correction and quantile normalization). Weighted Gene Co-expression Network analysis (WGCNA) was used for biological validation. In addition to our own study, six publicly available NanoString DSP datasets were evaluated. Results: Data distributions of all glioma samples, when exposed to standard data processing, were burdened with significant background noise interference. Notably, differences in noise interference were largest between biologically distinct tumor subgroups (i.e. between first and second glioma resections), which was confirmed in replicate experiments. The noise interference patterns were also present in all six publicly available NanoString DSP datasets which will invariably lead to incorrect interpretation of the underlying biology. To correct for noise interference, we tested several normalization methods. The relatively crude quantile normalization method provided the least biased result and showed the highest concordance with bulk RNA sequencing data. To evaluate the biological validity of our alternative approach, we used T cell counts from our tissue regions as an independent parameter, that were quantified using immune fluorescence. Unsupervised WGCNA identified gene clusters enriched for lymphocyte genes that highly correlated with T cell quantities in ROIs, confirming that alternative normalization can extract a biological signal from the DSP platform. Conclusion: The DSP Platform platform suffers from significant noise interference when using standard analysis tools that obscure its results. Here, we revised the workflow and provide an alternative normalization that adequately addresses noise interference and enables correct interpretation of gene expression data. Citation Format: Levi van Hijfte, Marjolein Geurts, Wies R. Vallentgoed, Paul H. Eilers, Peter A. Sillevis Smitt, Reno Debets, Pim J. French. Spatial transcriptomics: Data processing revisited to address noise interference [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1228.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 18
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 4886-4886
    Abstract: Background: Depatux-M (ABT-414) is an antibody-drug-conjugate consisting of an antibody (ABT-806) bound to the toxin monomethylauristatin-F. A randomized phase II trial on EGFR-amplified recurrent glioblastomas (GBMs) showed an improvement (p=0.06 in the primary analysis, p=0.024 in follow-up analysis) in overall survival in the Depatux-M+TMZ arm when compared to the control arm (CCNU or TMZ). In this study, we performed targeted next generation sequencing and correlated molecular features with response to treatment in order to better identify patients that benefit from the combination. Material and Methods: DNA and RNA was isolated from samples, collected at initial diagnosis, and selected for regions with highest tumor content. Target selection was done using the Trusight 170 gene panel (Illumina) which interrogates somatic variants and copy number, RNA levels and fusion genes in a set of known cancer genes. Variant calling was done using the Illumina Basespace sequence hub. For this trial, patients were eligible with centrally confirmed EGFR amplification, defined as EGFR/CEP 7 (centromere) ratio ≥ 2 in 15% of cells (FISH). Results: DNA and RNA data were generated from 233 and 234 samples respectively (of the 260 study patients). High-copy gene amplification was detected in EGFR (n=202), MDM2 (n=20), MDM4 (n=22), CDK4 (n=24) and CDK6 (n=5) which correlated with high expression levels. With this assay, 17 tumors did not show EGFR copy number (cn) aberrations (cn & lt; 2.8), a further 14 showed copy number changes consistent with trisomy only (2.8 & lt; cn & lt; 4). Most EGFR amplified tumors also had additional genetic changes in the EGFR locus including point mutations (111/202), splice variants (132/202, the most common being EGFRvIII n=96) or fusion genes (13/202). Twenty-one samples did not contain additional genetic changes and expressed only EGFRwt. Response (OS) to treatment was not correlated to EGFR gene expression or amplification levels though, since EGFR amplification was a pre-requisite for inclusion, the majority of cases expressed high levels of EGFR (not shown). Preliminary analysis suggests that subjects with EGFR amplification but without EGFRvIII expression had a trend towards superior clinical benefit from Depatux-M +TMZ (median survival 14.3 v. 8.9 and 8.1 months in the Depatux-M +TMZ, TMZ|CCNU and Depatux M arms respectively; HR 0.56, P=0.047 v. Depatux M monotherapy and HR 0.54, P=0.055 v. TMZ|CCNU ). Conclusion: Depatux-M in combination with TMZ showed a trend towards improved OS in EGFR amplified recurrent glioblastoma. This trend may be greater for subjects with an absence of EGFRvIII expression. Citation Format: Pim J. French, Johan M. Kros, Iris de Heer, Marica Eoli, Juan Manuel Sepulvada, Annemiek Walenkamp, Jean-Sebastian Frenel, Alba Brandes, Paul Clement, Michael Weller, Peter Ansell, Jim Looman, Earle Bain, Lisa Roberts-Rapp, Marie Morfouace, Thierry Gorlia, Vassilis Golfinopoulos, Martin van den Bent. Patients with EGFR amplification but without EGFRvIII expression have improved benefit compared to those with EGFRvIII expression in samples of the INTELLANCE2/EORTC1410 randomized phase II trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4886.
    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: 2019
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  • 19
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 642-642
    Abstract: Introduction: In 1995 a large European phase III clinical trial (‘EORTC 26951’) was initiated to examine the effects of adjuvant procarbazine, CCNU and vincristine (PCV) chemotherapy in anaplastic oligodendrogliomas (AOD and AOA). This trial showed that the addition of 6 cycles PCV after 59.4 Gy RT increases overall survival (OS) and progression free survival (PFS) in these tumors. However, some patients appeared to benefit more from the addition of PCV treatment than others. In current study, we aimed to identify the patients in this trial that benefit from adjuvant PCV treatment using genome wide methylation profiling. Methods: Methylation profiles of a total of 115 samples were generated, 49 of which were reported previously. Results: Most (59/66) samples were formalin-fixed and embedded in paraffin (FFPE). Our first experiment was therefore aimed at determining the performance of methylation arrays using such tissue. Paired snap frozen (FF)-FFPE sample analysis on six glioma samples demonstrated that the correlation between FF and FFPE samples was high: 0.961±0.023. Between FFPE technical replicates it was 0.987±0.009. These results demonstrate that methylation profiling can be performed on DNA isolated from FFPE samples. We then performed methylation profiling on an additional 66 samples of the EORTC26951 trial (59 FFPE, 7 FF) and combined the data with those of the 49 FF samples previously analyzed. The cohort analyzed for methylation profiling had similar characteristics as the entire EORTC26951 cohort. However, OS within the RT-only treatment arm of included patients was worse compared to OS in patients not included. Univariate analysis indicated that CIMP (CpG island methylator phenotype) status was a favorable prognostic marker for OS with CIMP+ tumors having a more favorable prognosis than CIMP- tumors (median OS 1.05 v. 6.46 years HR 0.225 95% CI [0.138, 0.369], P & lt;0.0001. Multivariate analysis indicates that CIMP status is a prognostic factor for overall survival that is independent of clinical and histological parameters (age, sex, performance score and review diagnosis). IDH1 mutations (39/51), 1p19q LOH (29/63) and MGMT promoter methylation (45/52) were predominantly identified in CIMP+ tumors whereas EGFR amplification was predominantly identified in the CIMP- subtype (20/42, 48%). When stratified for treatment, CIMP+ tumors showed a clear benefit from adjuvant PCV chemotherapy, both for OS and PFS. Median OS of CIMP+ samples in the RT and RT-PCV arms was 3.27 and 9.36 years respectively (HR: 0.409; 95% CI [0.224,0.746], P=0.0036). There was no such benefit for CIMP- tumors. Conclusion: Our results suggest that CIMP status is predictive for benefit from adjuvant PCV in AODs and AOAs in samples of the EORTC 26951 clinical trial. Further validation of these results is urgently required. Citation Format: Pim J. French, Lale Erdem-Eraslan, Ahmed Idbaih, Wim Spliet, Wilfred den Dunnen, Johannes L. Teepen, Pieter Wesseling, Peter A. Sillevis Smitt, Johan M. Kros, Thierry Gorlia, Martin van den Bent. A hypermethylated phenotype as predictive marker for response to PCV in anaplastic oligodendrogliomas. A report from EORTC study 26951. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 642. doi:10.1158/1538-7445.AM2013-642
    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: 2013
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