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DNA methylation-based classification of glioneuronal tumours synergises with histology and radiology to refine accurate molecular stratification
Neuropathology and Applied Neurobiology ( IF 5 ) Pub Date : 2023-02-26 , DOI: 10.1111/nan.12894
Thomas J Stone 1, 2 , Kshitij Mankad 3 , Ai Peng Tan 4, 5 , Wajanat Jan 6 , Jessica C Pickles 1, 2 , Maria Gogou 7 , Jane Chalker 8 , Iwona Slodkowska 8 , Emily Pang 8 , Mark Kristiansen 9 , Gaganjit K Madhan 9 , Leysa Forrest 9 , Deborah Hughes 10 , Eleni Koutroumanidou 10 , Talisa Mistry 2 , Olumide Ogunbiyi 2 , Saira W Ahmed 2 , J Helen Cross 7 , Mike Hubank 10 , Darren Hargrave 1, 11 , Thomas S Jacques 1, 2
Affiliation  

Glioneuronal tumours (GNTs) are poorly distinguished by their histology and lack robust diagnostic indicators. Previously, we showed that common GNTs comprise two molecularly distinct groups, correlating poorly with histology. To refine diagnosis, we constructed a methylation-based model for GNT classification, subsequently evaluating standards for molecular stratification by methylation, histology and radiology.

中文翻译:

基于 DNA 甲基化的胶质神经元肿瘤分类与组织学和放射学协同作用以完善准确的分子分层

胶质神经元肿瘤 (GNT) 的组织学很难区分,并且缺乏可靠的诊断指标。以前,我们表明常见的 GNT 包含两个分子上不同的组,与组织学相关性差。为了改进诊断,我们构建了一个基于甲基化的 GNT 分类模型,随后通过甲基化、组织学和放射学评估分子分层标准。
更新日期:2023-02-26
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