Molecular Characteristics of Thalamic Gliomas in Adults.
Tianwei WangXiaodong NiuTing GaoLinmao ZhengYongming QiuQing MaoPublished in: Journal of molecular neuroscience : MN (2021)
The 2016 World Health Organization classification of central nervous system tumor firstly introduces molecular diagnosis to glioma, while the molecular features of adult thalamic gliomas (ATGs) in a relatively large sample have not been reported. We aimed at exploring molecular characteristics in ATGs. The data of 97 and 575 newly diagnosed ATGs and superficial gliomas (SGs) patients were collected, and we performed a comparative analysis of molecular characteristics between them. We analyzed expressions of molecules as follow: H3 K27M, isocitrate dehydrogenase1 (IDH1), Ki-67, O6-Methylguanine-DNA methyltransferase (MGMT) promoter, EGFR, p53, ATRX, GFAP, Oligo2, PTEN, MGMT, and MMP9 by immunohistochemistry. Direct gene sequencing was performed to test the H3 K27M, IDH1, and TERT promoter mutation. The median age at diagnosis of ATGs was 36.0 years, and majority of them were high-grade glioma. We found a significant difference in H3 K27M mutation (P = 0.003), IDH1 mutation (P < 0.001), MGMT promoter methylation (P = 0.005), and Ki67 > 0.1 (P < 0.001) between ATGs and SGs. The statuses of IDH1 (P < 0.001), MGMT promoter (P < 0.001), and Ki67 (P < 0.001) were significantly different between these two groups in lower-grade gliomas. And statuses of IDH1 (P < 0.001), Ki67 (P < 0.001), and EGFR (P = 0.032) were different between these two groups in high-grade gliomas. Only Ki67 > 0.1 was differentially expressed between lower- and high-grade gliomas in ATGs (P = 0.014). The high occurrence of H3 K27M mutation and Ki67 > 0.1, rare occurrence of IDH1 mutation, and MGMT promoter methylation in ATGs suggested that ATGs may be a distinct type of glioma entity.
Keyphrases
- high grade
- low grade
- dna methylation
- newly diagnosed
- transcription factor
- gene expression
- neoadjuvant chemotherapy
- small cell lung cancer
- genome wide
- single molecule
- wild type
- end stage renal disease
- risk assessment
- squamous cell carcinoma
- chronic kidney disease
- ejection fraction
- machine learning
- deep brain stimulation
- single cell
- prognostic factors
- tyrosine kinase
- signaling pathway
- patient reported outcomes
- rectal cancer
- circulating tumor
- cell migration
- locally advanced
- nucleic acid