Literature DB >> 30138732

Towards Molecular Classification of Meningioma: Evolving Treatment and Diagnostic Paradigms.

Dustin T Proctor1, Sudheesh Ramachandran1, Sanju Lama1, Garnette R Sutherland2.   

Abstract

Meningioma, a common primary brain tumor in adults, is graded based on World Health Organization criteria that rely on histology alone. This approach is unable to determine conclusively which tumors, especially benign or atypical, will recur. Molecular characterization of meningioma has identified genetic biomarkers that can predict tumor behavior. Only a few genetic changes are known to classify >85% of all meningioma and clinical trials using targeted therapy to genetic subtypes of meningioma are under way. Immunotherapy is also being trialed in treating high-grade and recurrent meningioma. This review summarizes recent developments characterizing meningioma using genetic and immunologic biomarkers and how these molecular tools may be integrated into existing care together with current World Health Organization grading to improve diagnosis, prognosis, and therapy.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; Brain tumor; Diagnosis; Meningioma; Molecular characterization; Prognosis; Recurrence

Mesh:

Year:  2018        PMID: 30138732     DOI: 10.1016/j.wneu.2018.08.019

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  15 in total

1.  The prognostic significance of TERT promoter mutations in meningioma: a systematic review and meta-analysis.

Authors:  Victor M Lu; Anshit Goyal; Adrian Lee; Mark Jentoft; Alfredo Quinones-Hinojosa; Kaisorn L Chaichana
Journal:  J Neurooncol       Date:  2018-12-01       Impact factor: 4.130

Review 2.  Multimodality Therapy of Patients with Refractory Meningiomas.

Authors:  Haroon Ahmad; David Schiff
Journal:  Curr Treat Options Oncol       Date:  2019-05-09

3.  Ki67 Index Is the Most Powerful Factor for Predicting the Recurrence in Atypical Meningioma : Retrospective Analysis of 99 Patients in Two Institutes.

Authors:  Sang Hyuk Lee; Eun Hee Lee; Kyoung Su Sung; Dae Cheol Kim; Young Zoon Kim; Young Jin Song
Journal:  J Korean Neurosurg Soc       Date:  2022-04-14

4.  A Rapid Robust Method for Subgrouping Non-NF2 Meningiomas According to Genotype and Detection of Lower Levels of M2 Macrophages in AKT1 E17K Mutated Tumours.

Authors:  Claire L Adams; Emanuela Ercolano; Sara Ferluga; Agbolahan Sofela; Foram Dave; Caterina Negroni; Kathreena M Kurian; David A Hilton; C Oliver Hanemann
Journal:  Int J Mol Sci       Date:  2020-02-13       Impact factor: 5.923

5.  Total DNA methylation as a biomarker of DNA damage and tumor malignancy in intracranial meningiomas.

Authors:  Anna-Maria Barciszewska
Journal:  BMC Cancer       Date:  2020-06-03       Impact factor: 4.430

6.  Tumor-associated macrophage infiltration in meningioma.

Authors:  Dustin T Proctor; Jordan Huang; Sanju Lama; Abdulrahman Albakr; Guido Van Marle; Garnette R Sutherland
Journal:  Neurooncol Adv       Date:  2019-09-19

Review 7.  Theragnostic Use of Radiolabelled Dota-Peptides in Meningioma: From Clinical Demand to Future Applications.

Authors:  Riccardo Laudicella; Domenico Albano; Salvatore Annunziata; Diletta Calabrò; Giovanni Argiroffi; Elisabetta Abenavoli; Flavia Linguanti; Domenico Albano; Antonio Vento; Antonio Bruno; Pierpaolo Alongi; Matteo Bauckneht
Journal:  Cancers (Basel)       Date:  2019-09-22       Impact factor: 6.639

Review 8.  Recent Advances in Meningioma Immunogenetics.

Authors:  May Al-Rashed; Kara Foshay; Malak Abedalthagafi
Journal:  Front Oncol       Date:  2020-01-08       Impact factor: 6.244

Review 9.  Meningioma: A Review of Clinicopathological and Molecular Aspects.

Authors:  Kristin Huntoon; Angus Martin Shaw Toland; Sonika Dahiya
Journal:  Front Oncol       Date:  2020-10-23       Impact factor: 6.244

10.  Identification of a Transcription Factor-microRNA-Gene Coregulation Network in Meningioma through a Bioinformatic Analysis.

Authors:  Juan Wang; Yan Liang; Hui Yang; Jian-Huang Wu
Journal:  Biomed Res Int       Date:  2020-08-07       Impact factor: 3.411

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