Astrocytomas, oligodendrogliomas, and glioblastomas are all brain cancers called gliomas. Their names refer to the kind of glial cells from which they begin. In the brain, glial cells outnumber neurons with a five-to-one ratio, making gliomas highly invasive and difficult to eradicate.
Historically, gliomas were classified and graded based on cell type, location, patients' survival time, and the correlation of their microscopic appearance with clinical outcomes. More recently, histological characteristics such as cellularity, mitotic activity, pleomorphism, necrosis, and endothelial proliferation have also been considered.
However, that is still not enough. So, what holds the clues to predicting the kind of glioma, its aggressiveness, and how it would behave throughout time and in response to treatment?
Glioma classification and essential molecular pathology
The international standard for classifying gliomas and other central nervous system tumors (CNS, brain, and spinal cord) is that of the World Health Organization (WHO). The groundwork for the WHO classification goes back to 1925, when Bailey and Cushing published the first classification of gliomas, suggesting that the tumor cellular structure could predict and guide treatment and prognosis (Bailey and Cushing, 1925).
The fifth edition of the WHO CNS classification published in 2021 (WHO CNS5 2021) introduces significant changes. It advances the role of molecular diagnostics in glioma classification in nomenclature and grading, emphasizing the importance of integrated diagnoses and layered reports.
The discoveries of several genetic alterations and aberrant signaling pathways, such as MGMT methylation, IDH1/2 mutations, 1p/19q deletions, aberrant epidermal growth factor receptor, and PI3K pathways, abnormal p53/Rb pathways, and others have made a considerable contribution to our understanding of the genesis and biology of gliomas.
Morphological features combined with specific molecular and genetic alterations (summarized in Figure 1) define the molecular pathology in gliomas and are valuable tools for the stratification of patients, molecular diagnostics, and targeted therapies (Masui 2012).