» Articles » PMID: 31143247

Diffuse Low-Grade Glioma - Changing Concepts in Diagnosis and Management: A Review

Overview
Specialty Neurology
Date 2019 May 31
PMID 31143247
Citations 27
Authors
Affiliations
Soon will be listed here.
Abstract

Though diffuse low-grade gliomas (dLGGs) represent only 15% of gliomas, they have been receiving increasing attention in the past decade. Significant advances in knowledge of the natural history and clinical diversity have been documented, and an improved pathological classification of gliomas that integrates histological features with molecular markers has been issued by the WHO. Advances in the radiological assessment of dLGG, particularly new magnetic resonance imaging scanning sequences, allow improved diagnostic and prognostic information. The management paradigms are evolving from "wait and watch" of the past to more active interventional therapy to obviate the risk of malignant transformation. New surgical technologies allow more aggressive surgical resections with a reduction of morbidity. Many reports suggest the association of gross total resection with longer overall survival and progression-free survival in addition to better seizure control. The literature also shows the use of chemotherapeutics and radiation therapy as important adjuncts to surgery. The goals of management have has been increasing survival with increasing stress on quality of life. Our review highlights the recent advances in the molecular diagnosis and management of dLGG with trends toward multidisciplinary and multimodality management of dLGG with an aim to surgically resect the primary disease, followed by chemoradiation in cases of progressive or recurrent disease.

Citing Articles

Impact of Nuclear Peripheral Chromatin Lamin LMNB1 Gene in the Proliferation and Migration of Glioma Cells.

Shi X, Zhang T, Li C, Guo C, Yang Q, Feng Y Neurochem Res. 2024; 50(1):46.

PMID: 39636549 DOI: 10.1007/s11064-024-04298-3.


Prognostic value of anoikis-related genes revealed using multi-omics analysis and machine learning based on lower-grade glioma features and tumor immune microenvironment.

Linazi G, Maimaiti A, Abulaiti Z, Shi H, Zhou Z, Aisa M Heliyon. 2024; 10(17):e36989.

PMID: 39286119 PMC: 11402926. DOI: 10.1016/j.heliyon.2024.e36989.


A Cross-Sectional Analysis of Interventional Clinical Trials in High-Grade Glioma Therapy.

Angione A, Patterson J, Akca E, Xu J, Xu E, Raab V Life (Basel). 2024; 14(8).

PMID: 39202668 PMC: 11355386. DOI: 10.3390/life14080926.


Glutathione metabolism-related gene signature predicts prognosis and treatment response in low-grade glioma.

Deng Z, Luo J, Ma J, Jin Y, Yu Y Aging (Albany NY). 2024; 16(11):9518-9546.

PMID: 38819225 PMC: 11210255. DOI: 10.18632/aging.205881.


Machine learning unveils immune-related signature in multicenter glioma studies.

Yang S, Wang X, Huan R, Deng M, Kong Z, Xiong Y iScience. 2024; 27(4):109317.

PMID: 38500821 PMC: 10946333. DOI: 10.1016/j.isci.2024.109317.


References
1.
Bauman G, Lote K, Larson D, Stalpers L, Leighton C, Fisher B . Pretreatment factors predict overall survival for patients with low-grade glioma: a recursive partitioning analysis. Int J Radiat Oncol Biol Phys. 1999; 45(4):923-9. DOI: 10.1016/s0360-3016(99)00284-9. View

2.
Jackson R, Fuller G, Abi-Said D, Lang F, Gokaslan Z, Shi W . Limitations of stereotactic biopsy in the initial management of gliomas. Neuro Oncol. 2001; 3(3):193-200. PMC: 1920616. DOI: 10.1093/neuonc/3.3.193. View

3.
Pignatti F, van den Bent M, Curran D, Debruyne C, Sylvester R, Therasse P . Prognostic factors for survival in adult patients with cerebral low-grade glioma. J Clin Oncol. 2002; 20(8):2076-84. DOI: 10.1200/JCO.2002.08.121. View

4.
Shaw E, Arusell R, Scheithauer B, OFallon J, ONeill B, Dinapoli R . Prospective randomized trial of low- versus high-dose radiation therapy in adults with supratentorial low-grade glioma: initial report of a North Central Cancer Treatment Group/Radiation Therapy Oncology Group/Eastern Cooperative Oncology Group study. J Clin Oncol. 2002; 20(9):2267-76. DOI: 10.1200/JCO.2002.09.126. View

5.
Pirzkall A, Nelson S, McKnight T, Takahashi M, Li X, Graves E . Metabolic imaging of low-grade gliomas with three-dimensional magnetic resonance spectroscopy. Int J Radiat Oncol Biol Phys. 2002; 53(5):1254-64. DOI: 10.1016/s0360-3016(02)02869-9. View