8 research outputs found
Biology and grading of pleomorphic xanthoastrocytoma: what have we learned about it?
Pleomorphic xanthoastrocytoma (PXA) is a rare astrocytoma predominantly affecting children and young adults. We performed comprehensive genomic characterization on a cohort of 67 patients with histologically defined PXA (n = 53, 79%) or anaplastic PXA (A-PXA, n = 14, 21%), including copy number analysis (ThermoFisher Oncoscan, n = 67), methylation profiling (Illumina EPIC array, n = 43) and targeted next generation sequencing (n = 32). The most frequent alterations wereCDKN2A/Bdeletion (n = 63; 94%) andBRAFp.V600E (n = 51, 76.1%). In 7BRAFp.V600 wild-type cases, alternative driver alterations were identified involvingBRAF,RAF1andNF1. Downstream phosphorylation of ERK kinase was uniformly present. Additional pathogenic alterations were rare, withTERT,ATRXandTP53mutations identified in a small number of tumors, predominantly A-PXA. Methylation-based classification of 46 cases utilizing a comprehensive reference tumor allowed assignment to the PXA methylation class in 40 cases. A minority grouped with the methylation classes of ganglioglioma or pilocytic astrocytoma (n = 2), anaplastic pilocytic astrocytoma (n = 2) or control tissues (n = 2). In 9 cases, tissue was available from matched primary and recurrent tumors, including 8 with anaplastic transformation. At recurrence, two tumors acquiredTERTpromoter mutations and the majority demonstrated additional non-recurrent copy number alterations. Methylation class was preserved at recurrence. For 62 patients (92.5%), clinical follow-up data were available (median follow-up, 5.4 years). Overall survival was significantly different between PXA and A-PXA (5-year OS 80.8% vs. 47.6%;P = 0.0009) but not progression-free survival (5-year PFS 59.9% vs. 39.8%;P = 0.05). WHO grade remained a strong predictor of overall survival when limited to 38 cases defined as PXA by methylation-based classification. Our data confirm the importance of WHO grading in histologically and epigenetically defined PXA. Methylation-based classification may be helpful in cases with ambiguous morphology, but is largely confirmatory in PXA with well-defined morphology
Biology and grading of pleomorphic xanthoastrocytoma—what have we learned about it?
Pleomorphic xanthoastrocytoma (PXA) is a rare astrocytoma predominantly affecting children and young adults. We performed comprehensive genomic characterization on a cohort of 67 patients with histologically defined PXA (n = 53, 79%) or anaplastic PXA (A-PXA, n = 14, 21%), including copy number analysis (ThermoFisher Oncoscan, n = 67), methylation profiling (Illumina EPIC array, n = 43) and targeted next generation sequencing (n = 32). The most frequent alterations wereCDKN2A/Bdeletion (n = 63; 94%) andBRAFp.V600E (n = 51, 76.1%). In 7BRAFp.V600 wild-type cases, alternative driver alterations were identified involvingBRAF,RAF1andNF1. Downstream phosphorylation of ERK kinase was uniformly present. Additional pathogenic alterations were rare, withTERT,ATRXandTP53mutations identified in a small number of tumors, predominantly A-PXA. Methylation-based classification of 46 cases utilizing a comprehensive reference tumor allowed assignment to the PXA methylation class in 40 cases. A minority grouped with the methylation classes of ganglioglioma or pilocytic astrocytoma (n = 2), anaplastic pilocytic astrocytoma (n = 2) or control tissues (n = 2). In 9 cases, tissue was available from matched primary and recurrent tumors, including 8 with anaplastic transformation. At recurrence, two tumors acquiredTERTpromoter mutations and the majority demonstrated additional non-recurrent copy number alterations. Methylation class was preserved at recurrence. For 62 patients (92.5%), clinical follow-up data were available (median follow-up, 5.4 years). Overall survival was significantly different between PXA and A-PXA (5-year OS 80.8% vs. 47.6%;P = 0.0009) but not progression-free survival (5-year PFS 59.9% vs. 39.8%;P = 0.05). WHO grade remained a strong predictor of overall survival when limited to 38 cases defined as PXA by methylation-based classification. Our data confirm the importance of WHO grading in histologically and epigenetically defined PXA. Methylation-based classification may be helpful in cases with ambiguous morphology, but is largely confirmatory in PXA with well-defined morphology
Meningiomas With Rhabdoid Features Lacking Other Histologic Features of Malignancy: A Study of 44 Cases and Review of the Literature
The behavior of rhabdoid meningiomas otherwise lacking malignant features remains unknown as most of the originally reported aggressive cases showed anaplastic histologic features independently of rhabdoid phenotype. We studied 44 patients with rhabdoid meningiomas lacking anaplastic features. Median age at diagnosis was 48.6 years (range 10–79). Location was supratentorial in 28 (63.6%), skull base in 15 (34.1%), and spinal in 1 (2.3%). Tumor grade was otherwise World Health Organization grade I (n = 22, 50%) or II (n = 22, 50%). Rhabdoid cells represented <20% of the tumor in 12 cases (27.3%), 20% to 50% in 18 (40.9%), and >50% in 14 (31.8%). Median clinical follow-up, available for 38 patients, was 5.0 years (range 0.17–14.2). Recurrence occurred in 9 patients (5-year recurrence-free survival, 73.7%) with a significantly higher risk in subtotally resected tumors (p = 0.043). Rhabdoid cell percentage was not associated with recurrence. Six patients died (4 of disease, 2 of unclear causes); 5-year overall survival was 86.7%, a mortality in excess of that expected in grade I–II meningiomas but much lower than originally reported. Review of 50 similar previously reported cases confirmed our findings. We suggest that rhabdoid meningiomas be graded analogously to nonrhabdoid tumors, with caution that some may still behave aggressively and close follow-up is recommended
Blood-brain barrier disruption defines the extracellular metabolome of live human high-grade gliomas
Abstract The extracellular microenvironment modulates glioma behaviour. It remains unknown if blood-brain barrier disruption merely reflects or functionally supports glioma aggressiveness. We utilised intra-operative microdialysis to sample the extracellular metabolome of radiographically diverse regions of gliomas and evaluated the global extracellular metabolome via ultra-performance liquid chromatography tandem mass spectrometry. Among 162 named metabolites, guanidinoacetate (GAA) was 126.32x higher in enhancing tumour than in adjacent brain. 48 additional metabolites were 2.05–10.18x more abundant in enhancing tumour than brain. With exception of GAA, and 2-hydroxyglutarate in IDH-mutant gliomas, differences between non-enhancing tumour and brain microdialysate were modest and less consistent. The enhancing, but not the non-enhancing glioma metabolome, was significantly enriched for plasma-associated metabolites largely comprising amino acids and carnitines. Our findings suggest that metabolite diffusion through a disrupted blood-brain barrier may largely define the enhancing extracellular glioma metabolome. Future studies will determine how the altered extracellular metabolome impacts glioma behaviour
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Germline and somatic BAP1 mutations in high-grade rhabdoid meningiomas
BackgroundPatients with meningiomas have widely divergent clinical courses. Some entirely recover following surgery alone, while others have relentless tumor recurrences. This clinical conundrum is exemplified by rhabdoid meningiomas, which are designated in the World Health Organization Classification of Tumours as high grade, despite only a subset following an aggressive clinical course. Patient management decisions are further exacerbated by high rates of interobserver variability, biased against missing possibly aggressive tumors. Objective molecular determinants are needed to guide classification and clinical decision making.MethodsTo define genomic aberrations of rhabdoid meningiomas, we performed sequencing of cancer-related genes in 27 meningiomas from 18 patients with rhabdoid features and evaluated breast cancer [BRCA]1-associated protein 1 (BAP1) expression by immunohistochemistry in 336 meningiomas. We assessed outcomes, germline status, and family history in patients with BAP1-negative rhabdoid meningiomas.ResultsThe tumor suppressor gene BAP1, a ubiquitin carboxy-terminal hydrolase, is inactivated in a subset of high-grade rhabdoid meningiomas. Patients with BAP1-negative rhabdoid meningiomas had reduced time to recurrence compared with patients with BAP1-retained rhabdoid meningiomas (Kaplan-Meier analysis, 26 mo vs 116 mo, P < .001; hazard ratio 12.89). A subset of patients with BAP1-deficient rhabdoid meningiomas harbored germline BAP1 mutations, indicating that rhabdoid meningiomas can be a harbinger of the BAP1 cancer predisposition syndrome.ConclusionWe define a subset of aggressive rhabdoid meningiomas that can be recognized using routine laboratory tests. We implicate ubiquitin deregulation in the pathogenesis of these high-grade malignancies. In addition, we show that familial and sporadic BAP1-mutated rhabdoid meningiomas are clinically aggressive, requiring intensive clinical management
Genomic and Phenotypic Characterization of a Broad Panel of Patient-Derived Xenografts Reflects the Diversity of Glioblastoma.
PURPOSE: Glioblastoma is the most frequent and lethal primary brain tumor. Development of novel therapies relies on the availability of relevant preclinical models. We have established a panel of 96 glioblastoma patient-derived xenografts (PDX) and undertaken its genomic and phenotypic characterization.
EXPERIMENTAL DESIGN: PDXs were established from glioblastoma, IDH-wildtype (
RESULTS: PDXs recapitulate many key phenotypic and molecular features of patient tumors. Orthotopic PDXs show characteristic tumor morphology and invasion patterns, but largely lack microvascular proliferation and necrosis. PDXs capture common and rare molecular drivers, including alterations of
CONCLUSIONS: Our PDX panel captures the molecular heterogeneity of glioblastoma and recapitulates many salient genetic and phenotypic features. All models and genomic data are openly available to investigators