Phenotypic and epigenetic heterogeneity in FGFR2-fused glial and glioneuronal tumours.

Aims FGFR-fused central nervous system (CNS) tumours are rare and are usually within the glioneuronal and neuronal tumours or the paediatric-type diffuse low-grade glioma spectrum. Among this spectrum, FGFR2 fusion has been documented in tumours classified by DNA-methylation profiling as polymorphous low-grade neuroepithelial tumours of the young (PLNTY), a recently described tumour type. However, FGFR2 fusions have also been reported in glioneuronal tumours, highlighting the overlapping diagnostic criteria and challenges. Methods We investigated the FGFR2 fusion landscape in a French national series of tumours sent to the RENOCLIP-LOC network. We comprehensively analysed histology, radiology and molecular data including DNA-methylation profiling for 16 FGFR2-fused glioneuronal tumours. Results Most tumours were located in the temporal or parietal lobe with a median age at diagnosis of 7 years [1–44]. Epilepsy was the most frequent symptom. Five patients had tumour progression or recurrence with a median progression-free survival of 22.6 months. Histological phenotypes corresponding to PLNTY, GG, MVNT or unclassified tumours were recorded. Epigenetic profiling could not properly distinguish epigenetic clusters related to the GG and PLNTY methylation classes among FGFR2-fused glioneuronal tumours. However, a neuroradiological review identified strikingly distinct neuroradiological patterns. Conclusion While delineating tumour types among the FGFR2-fused glioneuronal tumour spectrum, by histopathology or DNA-methylation profiling, remains challenging, neuroimaging data revealed two distinct patterns that could correlate to PLNTY and ganglioglioma. However, more series including extensive histo-radio-molecular data are needed to confirm this hypothesis.

Publication Details

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LillOA (Université de Lille (University Of Lille))
Published
2024-11-18
Primary Topic
Theoretical and Computational Physics
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article
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article

Phenotypic and epigenetic heterogeneity in FGFR2-fused glial and glioneuronal tumours.

LillOA (Université de Lille (University Of Lille))
Theoretical and Computational Physics
article

Phenotypic and epigenetic heterogeneity in FGFR2-fused glial and glioneuronal tumours.

article en

Abstract

Aims FGFR-fused central nervous system (CNS) tumours are rare and are usually within the glioneuronal and neuronal tumours or the paediatric-type diffuse low-grade glioma spectrum. Among this spectrum, FGFR2 fusion has been documented in tumours classified by DNA-methylation profiling as polymorphous low-grade neuroepithelial tumours of the young (PLNTY), a recently described tumour type. However, FGFR2 fusions have also been reported in glioneuronal tumours, highlighting the overlapping diagnostic criteria and challenges. Methods We investigated the FGFR2 fusion landscape in a French national series of tumours sent to the RENOCLIP-LOC network. We comprehensively analysed histology, radiology and molecular data including DNA-methylation profiling for 16 FGFR2-fused glioneuronal tumours. Results Most tumours were located in the temporal or parietal lobe with a median age at diagnosis of 7 years [1–44]. Epilepsy was the most frequent symptom. Five patients had tumour progression or recurrence with a median progression-free survival of 22.6 months. Histological phenotypes corresponding to PLNTY, GG, MVNT or unclassified tumours were recorded. Epigenetic profiling could not properly distinguish epigenetic clusters related to the GG and PLNTY methylation classes among FGFR2-fused glioneuronal tumours. However, a neuroradiological review identified strikingly distinct neuroradiological patterns. Conclusion While delineating tumour types among the FGFR2-fused glioneuronal tumour spectrum, by histopathology or DNA-methylation profiling, remains challenging, neuroimaging data revealed two distinct patterns that could correlate to PLNTY and ganglioglioma. However, more series including extensive histo-radio-molecular data are needed to confirm this hypothesis.

LillOA (Université de Lille (University Of Lille))
Openalex Percentile: Top 53%
Theoretical and Computational Physics
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