» Articles » PMID: 34307160

Integrated Analysis of the Clinical and Molecular Characteristics of IDH Wild-Type Gliomas in the Chinese Glioma Genome Atlas

Overview
Journal Front Oncol
Specialty Oncology
Date 2021 Jul 26
PMID 34307160
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Current studies and guidelines suggest that the biobehavior of IDH-wild type (IDH-wt) lower-grade glioma (LGG, WHO II-III) is similar to IDH-wt glioblastoma (GBM). However, differences in their clinical and molecular characteristics have not been reported. This study aimed to analyze the clinical and genetic information of gliomas with IDH-wt.

Methods: 389 patients with IDH-wt were enrolled in the study (LGG=165, GBM=224), and their clinical and genetic information was collected from the Chinese Glioma Genome Atlas (CGGA). We conducted an analysis of this information between the two groups of patients and drew conclusions thereof.

Results: The median age of the LGG patients was 42 (18-74) years, whereas that of the GBM patients was 51 (18-79) years ( < 0.010). GBM patients were more likely to undergo total resection ( = 0.018) and had fewer epileptic seizure symptoms ( < 0.001). The median overall survival (OS) was 55 months for the LGG patients and only 14.83 months for the GBM patients ( < 0.01). The median progression-free survival (PFS) was 44 months for the LGG patients and only 9.767 months for the GBM patients ( < 0.001). GBM patients were more prone to PETN mutations ( = 0.010). Transcriptome analysis showed that the differentially expressed genes in LGG patients were mainly enriched in metabolic pathways and pathways in cancer and in the function of signal transduction and positive regulation of GTPase activity, whereas in GBM patients, they were mainly enriched in the PI3K-Akt signaling pathway and in the functions of apoptotic process and oxidation-reduction process.

Conclusions: Our data indicate that these two groups of patients should be re-evaluated and treated differently, despite both having IDH wild type.

Citing Articles

Targeting copper death genotyping associated gene RARRES2 suppresses glioblastoma progression and macrophages infiltration.

Yan T, Yang H, Meng Y, Li H, Jiang Q, Liu J Cancer Cell Int. 2023; 23(1):105.

PMID: 37246211 PMC: 10226210. DOI: 10.1186/s12935-023-02950-6.


Epidemiological characteristics and genetic alterations in adult diffuse glioma in East Asian populations.

Mo Z, Xin J, Chai R, Woo P, Chan D, Wang J Cancer Biol Med. 2022; 19(10).

PMID: 36350002 PMC: 9630523. DOI: 10.20892/j.issn.2095-3941.2022.0418.


Pan-cancer analysis reveals NUP37 as a prognostic biomarker correlated with the immunosuppressive microenvironment in glioma.

He Y, Li J, Shen L, Zhou H, Fei W, Zhang G Aging (Albany NY). 2022; 14(2):1033-1047.

PMID: 35093934 PMC: 8833130. DOI: 10.18632/aging.203862.

References
1.
Hu X, Martinez-Ledesma E, Zheng S, Kim H, Barthel F, Jiang T . Multigene signature for predicting prognosis of patients with 1p19q co-deletion diffuse glioma. Neuro Oncol. 2017; 19(6):786-795. PMC: 5464432. DOI: 10.1093/neuonc/now285. View

2.
Bao Z, Chen H, Yang M, Zhang C, Yu K, Ye W . RNA-seq of 272 gliomas revealed a novel, recurrent PTPRZ1-MET fusion transcript in secondary glioblastomas. Genome Res. 2014; 24(11):1765-73. PMC: 4216918. DOI: 10.1101/gr.165126.113. View

3.
Limam S, Missaoui N, Abdessayed N, Mestiri S, Selmi B, Mokni M . Prognostic significance of MGMT methylation and expression of MGMT, P53, EGFR, MDM2 and PTEN in glioblastoma multiforme. Ann Biol Clin (Paris). 2019; 77(3):307-317. DOI: 10.1684/abc.2019.1448. View

4.
Perry A, Wesseling P . Histologic classification of gliomas. Handb Clin Neurol. 2016; 134:71-95. DOI: 10.1016/B978-0-12-802997-8.00005-0. View

5.
Huang D, Sherman B, Lempicki R . Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2008; 37(1):1-13. PMC: 2615629. DOI: 10.1093/nar/gkn923. View