Molecular Classification and Prognostic Features of Gliomas Background Introduction Glioma is the most common malignant brain tumor in adults, and its classification, risk stratification, and treatment standards have undergone significant changes in recent years. With the introduction of molecular markers, the classification system for gliomas has ...

Deciphering the Topological Landscape of Glioma: A Study Based on a Network Theory Framework Glioma stem cells (GSCs) are recognized as key factors in glioma recurrence and treatment resistance, making them an important focus for new therapeutic approaches. However, the limited understanding of the role of GSCs in the hierarchy of glioma has sparke...

Association of NID2 gene single nucleotide polymorphisms with glioma risk and prognosis in Chinese Han population Academic Background Glioma is the most common primary intracranial tumor, characterized by high mortality and poor prognosis. Despite some progress in diagnostic and treatment strategies, conventional therapies have limited improvement ...

Useful Features for Overall Survival Prediction in Low-Grade Glioma Patients Academic Background Glioma is a type of neoplastic growth in the brain that usually poses a serious threat to the patients’ lives. In most cases, glioma eventually leads to the death of the patient. The analysis of glioma typically involves examining pathological slices of...

Glioma Disease Prediction Based on Optimized Integrated Machine Learning Background and Research Objectives In medical research, gliomas are the most common type of primary brain tumors, encompassing various cancer types with different clinical behaviors and treatment outcomes. Accurate prognosis prediction for glioma patients is crucial for optimi...