Glioma–Astrocyte Connexin43 Confers Temozolomide Resistance Through Activation of the E2F1/ERCC1 Axis

Study on Connexin43-Mediated Temozolomide Resistance in Glioma through Activation of the E2F1/ERCC1 Axis Academic Background Glioma is the most common and fatal tumor of the central nervous system, with temozolomide (TMZ) being the standard treatment. However, TMZ therapy often leads to tumor recurrence and drug resistance, severely limiting its ef...

The Prognostic Impact of CDKN2A/B Hemizygous Deletions in IDH-Mutant Glioma

Background Introduction Glioma is one of the most common primary tumors of the central nervous system, and its prognosis and treatment methods vary significantly depending on molecular characteristics. In recent years, with the advancement of molecular pathology, IDH (isocitrate dehydrogenase) mutations have been identified as important molecular m...

IDH Mutation, Glioma Immunogenicity, and Therapeutic Challenge of Primary Mismatch Repair Deficient IDH-Mutant Astrocytoma (PMMRDIA): A Systematic Review

Immunogenicity and Therapeutic Challenges of IDH-Mutant Gliomas Background Glioma is a common central nervous system tumor, and its treatment and prognosis vary significantly depending on molecular characteristics. In recent years, the diagnostic and prognostic significance of isocitrate dehydrogenase (IDH) mutations in gliomas has been increasingl...

Induction of Tertiary Lymphoid Structures in the Glioma Microenvironment and Their Role in Anti-Glioma Immunity

Induction of Tertiary Lymphoid Structures in Glioma Immunotherapy and Their Anti-Tumor Immune Effects Background Introduction Glioma is a highly malignant brain tumor characterized by limited lymphocyte infiltration in the tumor microenvironment (glioma microenvironment, GME), presenting an “immune desert” state. This characteristic makes glioma in...

Contemporary Prognostic Signatures and Refined Risk Stratification of Gliomas: An Analysis of 4400 Tumors

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 Framework Based on Network Theory

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 SNPs with Glioma Risk and Prognosis in the Chinese Population

Association of NID2 SNPs with Glioma Risk and Prognosis in the Chinese Population

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 ...

Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides

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...

Gliomas Disease Prediction: An Optimized Ensemble Machine Learning-Based Approach

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...

An Attention-Guided CNN Framework for Segmentation and Grading of Glioma Using 3D MRI Scans

Study of Attention-Guided CNN Framework for 3D MRI Glioma Segmentation and Grading Gliomas are the most deadly form of brain tumors in humans. Timely diagnosis of these tumors is a crucial step for effective tumor treatment. Magnetic Resonance Imaging (MRI) typically provides a non-invasive examination of brain lesions. However, manual inspection o...