Literature DB >> 29852774

Clinical potential of meningioma genomic insights: a practical review for neurosurgeons.

Michael Karsy1, Mohammed A Azab1, Hussam Abou-Al-Shaar1, Jian Guan1, Ilyas Eli1, Randy L Jensen1,2, D Ryan Ormond3.   

Abstract

Meningiomas are among the most common intracranial pathological conditions, accounting for 36% of intracranial lesions treated by neurosurgeons. Although the majority of these lesions are benign, the classical categorization of tumors by histological type or World Health Organization (WHO) grade has not fully captured the potential for meningioma progression and recurrence. Many targeted treatments have failed to generate a long-lasting effect on these tumors. Recently, several seminal studies evaluating the genomics of intracranial meningiomas have rapidly changed the understanding of the disease. The importance of NF2 (neurofibromin 2), TRAF7 (tumor necrosis factor [TNF] receptor-associated factor 7), KLF4 (Kruppel-like factor 4), AKT1, SMO (smoothened), PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha), and POLR2 (RNA polymerase II subunit A) demonstrates that there are at least 6 distinct mutational classes of meningiomas. In addition, 6 methylation classes of meningioma have been appreciated, enabling improved prediction of prognosis compared with traditional WHO grades. Genomic studies have shed light on the nature of recurrent meningioma, distinct intracranial locations and mutational patterns, and a potential embryonic cancer stem cell-like origin. However, despite these exciting findings, the clinical relevance of these findings remains elusive. The authors review the key findings from recent genomic studies in meningiomas, specifically focusing on how these findings relate to clinical insights for the practicing neurosurgeon.

Entities:  

Keywords:  AKT1; KLF4; NF2; PI3K = phosphoinositide 3-kinase; PIK3CA; POLR2; SCNA = somatic copy-number alteration; SMO; TRAF7; WHO = World Health Organization; genomics; mTOR = mammalian target of rapamycin; meningioma

Mesh:

Substances:

Year:  2018        PMID: 29852774     DOI: 10.3171/2018.2.FOCUS1849

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  13 in total

1.  Progestin-related WHO grade II meningiomas behavior-a single-institution comparative case series.

Authors:  Antoine Devalckeneer; Rabih Aboukais; Maxime Faisant; Philippe Bourgeois; Vannod-Michel Quentin; Claude-Alain Maurage; Fabienne Escande; Jean-Paul Lejeune
Journal:  Neurosurg Rev       Date:  2021-11-30       Impact factor: 3.042

2.  Landscape of genetic variants in sporadic meningiomas captured with clinical genomics.

Authors:  Nathan K Leclair; Erica Shen; Qian Wu; Leo Wolansky; Kevin Becker; Lei Li; Ketan R Bulsara
Journal:  Acta Neurochir (Wien)       Date:  2022-07-26       Impact factor: 2.816

3.  Transcriptome signatures associated with meningioma progression.

Authors:  Angela N Viaene; Bo Zhang; Maria Martinez-Lage; Chaomei Xiang; Umberto Tosi; Jayesh P Thawani; Busra Gungor; Yuankun Zhu; Laura Roccograndi; Logan Zhang; Robert L Bailey; Phillip B Storm; Donald M O'Rourke; Adam C Resnick; M Sean Grady; Nadia Dahmane
Journal:  Acta Neuropathol Commun       Date:  2019-04-30       Impact factor: 7.801

4.  Identification of Meningioma Patients at High Risk of Tumor Recurrence Using MicroRNA Profiling.

Authors:  Hanus Slavik; Vladimir Balik; Jana Vrbkova; Alona Rehulkova; Miroslav Vaverka; Lumir Hrabalek; Jiri Ehrmann; Monika Vidlarova; Sona Gurska; Marian Hajduch; Josef Srovnal
Journal:  Neurosurgery       Date:  2020-10-15       Impact factor: 4.654

Review 5.  Neurofibromatosis Type 2 (NF2) and the Implications for Vestibular Schwannoma and Meningioma Pathogenesis.

Authors:  Suha Bachir; Sanjit Shah; Scott Shapiro; Abigail Koehler; Abdelkader Mahammedi; Ravi N Samy; Mario Zuccarello; Elizabeth Schorry; Soma Sengupta
Journal:  Int J Mol Sci       Date:  2021-01-12       Impact factor: 5.923

6.  Advances in meningioma genomics, proteomics, and epigenetics: insights into biomarker identification and targeted therapies.

Authors:  Ahmad A Nazem; Jacob Ruzevick; Manuel J Ferreira
Journal:  Oncotarget       Date:  2020-12-08

Review 7.  Multi-Omics Analysis in Initiation and Progression of Meningiomas: From Pathogenesis to Diagnosis.

Authors:  Jiachen Liu; Congcong Xia; Gaiqing Wang
Journal:  Front Oncol       Date:  2020-08-28       Impact factor: 6.244

Review 8.  Genetic Alterations of TRAF Proteins in Human Cancers.

Authors:  Sining Zhu; Juan Jin; Samantha Gokhale; Angeli M Lu; Haiyan Shan; Jianjun Feng; Ping Xie
Journal:  Front Immunol       Date:  2018-09-20       Impact factor: 7.561

9.  WHO Grade I Meningioma Recurrence: Identifying High Risk Patients Using Histopathological Features and the MIB-1 Index.

Authors:  Alexander F Haddad; Jacob S Young; Ishan Kanungo; Sweta Sudhir; Jia-Shu Chen; David R Raleigh; Stephen T Magill; Michael W McDermott; Manish K Aghi
Journal:  Front Oncol       Date:  2020-08-28       Impact factor: 6.244

Review 10.  Meningioma: A Review of Epidemiology, Pathology, Diagnosis, Treatment, and Future Directions.

Authors:  Christian Ogasawara; Brandon D Philbrick; D Cory Adamson
Journal:  Biomedicines       Date:  2021-03-21
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