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DNA methylation profiling of meningiomas highlights clinically distinct molecular subgroups.
Singh, Jyotsna; Sharma, Ravi; Shukla, Nidhi; Narwal, Priya; Katiyar, Amit; Mahajan, Swati; Sahu, Saumya; Garg, Ajay; Sharma, Mehar C; Suri, Ashish; Sarkar, Chitra; Suri, Vaishali.
Afiliação
  • Singh J; Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
  • Sharma R; Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
  • Shukla N; Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
  • Narwal P; Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
  • Katiyar A; CCRF, All India Institute of Medical Sciences, New Delhi, India.
  • Mahajan S; Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
  • Sahu S; Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
  • Garg A; Department of Neuroradiology, All India Institute of Medical Sciences, New Delhi, India.
  • Sharma MC; Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India.
  • Suri A; Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
  • Sarkar C; Department of Pathology, All India Institute of Medical Sciences, New Delhi, India.
  • Suri V; Neuropathology Laboratory, Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India. surivaishali@yahoo.co.in.
J Neurooncol ; 161(2): 339-356, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36564673
ABSTRACT

BACKGROUND:

Introduction of the classification of brain tumours based on DNA methylation profile has significantly changed the diagnostic approach. Due to the paucity of data on the molecular profiling of meningiomas and their clinical implications, no effective therapies and new treatments have been implemented.

METHODS:

DNA methylation profiling, copy number analysis, targeted sequencing and H3K27me3 expression was performed on 35 meningiomas and 5 controls.

RESULTS:

Unsupervised hierarchical clustering (UHC) analysis revealed four distinct molecular subgroups Malignant; Intermediate; Benign A, and Benign B. Molecular heterogeneity was observed within the same grade as the Intermediate, Benign A, and Benign B subgroups were composed of WHO grade 1 as well as grade 2 cases. There was association of mutations with distinct methylation subgroups (NF2, AKT1, SMO, TRAF7 and pTERT). Loss of chromosome 22q was observed across all subgroups. 1p/14q co-deletion was seen in 50% of malignant and intermediate while CDKN2A loss was predominantly observed in malignant subgroup (50%). Majority of malignant (75%) and a small proportion of other subgroups (Intermediate 25%, Benign A 38.5%, and Benign B 20%) harboured H3K27me3 loss. 38,734 genes were dysregulated amongst the four subgroups. DKFZ classified 71% cases with acceptable score. On survival analysis, methylation profiling had significant impact on progression-free-survival in WHO grade1 and 2 meningiomas (p = 0.0051).

CONCLUSION:

Genome-wide DNA methylation profiling highlights clinically distinct molecular subgroups and heterogeneity within the same grade of meningiomas. Molecular profiling can usher in a paradigm shift in meningioma classification, prognostic prediction, and treatment strategy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Meníngeas / Meningioma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Meníngeas / Meningioma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article