2021
DOI: 10.1038/s41586-021-03850-3
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A clinically applicable integrative molecular classification of meningiomas

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Cited by 263 publications
(339 citation statements)
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“…In conclusion, as discussed above, all of the recent developments are creating new prospects for effective molecularly driven diagnosis, classification and therapy of meningiomas (9)(10)(11). However, there is still a long way to go in the study of meningioma from many aspects.…”
Section: Discussionmentioning
confidence: 96%
“…In conclusion, as discussed above, all of the recent developments are creating new prospects for effective molecularly driven diagnosis, classification and therapy of meningiomas (9)(10)(11). However, there is still a long way to go in the study of meningioma from many aspects.…”
Section: Discussionmentioning
confidence: 96%
“…Each molecular group showed distinctive and prototypical biology (immunogenic, benign NF2 wild-type, hypermetabolic and proliferative) that informed therapeutic options. Proteogenomic characterization reinforced the robustness of defined molecular groups and uncovered highly abundant and group-specific protein targets [26].…”
Section: Cytogenetics and Genomicsmentioning
confidence: 97%
“…Additionally, a study showed that the levels of p16 and p15, the proteins encoded by CDKN2A and CDKN2B, may hold prognostic significance and/ or represent a promising therapeutic target [25]. Recently, Nassiri et al described four consensus molecular groups of MN by combining DNA somatic copy-number aberrations, DNA somatic point mutations, DNA methylation, and messenger RNA abundance in a unified analysis [26]. These molecular groups predicted clinical outcomes compared with existing classification schemes.…”
Section: Cytogenetics and Genomicsmentioning
confidence: 99%
“…Most studies have focused on diagnosis in the context of CNS tumors where tissue acquisition is challenging or impossible such as pediatric posterior fossa tumors [19], rare histologies or histologies that present difficult diagnostic interpretation (ependymoma, pilocytic astrocytoma, medulloblastoma, craniopharyngioma) [10,20,27,78,79] and very few studies examined computational avenues to optimise RT [80], Zhu [81]. In meningioma attempts have focused on diagnosis and grading especially in the context of radiomics and surgical resection [21] and linked analysis to extent of tumor and brain or bone invasion [82][83][84][85]. If analysed in conjunction with biomarkers and RT dosimetry, these endeavors could prove highly relevant to RT volumes and dose as well patterns of recurrence [86][87][88] but clinical applications are only starting to emerge [89].…”
Section: Radiogenomic Advances In Rare Cns Histologies Craniospinal A...mentioning
confidence: 99%