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Current Issue

January-March 2022| Vol 5| Issue 1


New changes in pathological diagnosis of brain tumors in the modern molecular era

Since 2016, the pathological diagnosis of tumors of the central nervous system (CNS) has undergone great changes, owing to the introduction of molecular pathological techniques and molecular genetic...


The diverse landscape of histone-mutant pediatric high-grade gliomas: A narrative review

Pediatric high-grade gliomas (pHGGs) are the leading cause of tumor-related death in children, with diffuse midline gliomas representing the worst prognoses. Despite decades of clinical trials, no e...


Glioma stem cells and their microenvironment: A narrative review on docking and transformation

Significant new progress was made 10 years ago in the hypothesis that neuroglial cells, neural stem cells, and glioma stem cells (GSCs) depend on the tumor microenvironment (TME) transformation: (1)...

Original Article

A novel nomogram based on DNA damage response-related gene expression in patients with O-6-methylguanine-DNA methyltransferase unmethylated glioblastoma receiving temozolomide chemotherapy: A population-based analysis

Background and Aim: Glioblastoma (GBM) is the most lethal primary brain tumor. Patients with unmethylated O-6-methylguanine-DNA methyltransferase (MGMT) promoter have higher MGM...

Original Article

Initial report of a clinical trial evaluating the safety and efficiency of neoadjuvant camrelizumab and apatinib in patients with recurrent high-grade gliomas: A prospective, phase II, single-arm study

Background and Aim: High-grade glioma is the most common malignant primary brain tumor in the central nervous system. Multiple strategies such as surgery, radiotherapy, and chem...

View All Articles in the Current Issue

Glioma, a publication of Chinese Society of Neuro-Oncology (CSNO), is a peer-reviewed print + online Quarterly journal.

Features of Manuscript Management System

  • Online submission
  • Wider visibility through open access
  • Higher impact
  • Prompt review

Abstracting and Indexing Information

The journal is registered with the following abstracting partners:
Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, Netherlands ISSN centre, ProQuest, TDNet, Wanfang Data

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