A5053373612- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Ferroptosis and cancer prognosis
- Epigenetics and DNA Methylation
- Neuroinflammation and Neurodegeneration Mechanisms
- Cancer Genomics and Diagnostics
- Cell Image Analysis Techniques
- Bioinformatics and Genomic Networks
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
- Medical Imaging Techniques and Applications
- RNA modifications and cancer
- Nanoplatforms for cancer theranostics
- MicroRNA in disease regulation
- Digital Imaging for Blood Diseases
- Extracellular vesicles in disease
- Intracerebral and Subarachnoid Hemorrhage Research
- Brain Tumor Detection and Classification
Peking Union Medical College Hospital
2023-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2023-2025
Nanchang University
2023
Wuhan University
2022
Renmin Hospital of Wuhan University
2022
Abstract Backgroud Glioblastoma multiforme (GBM) is among the most aggressive cancers, with current treatments limited in efficacy. A significant hurdle treatment of GBM resistance to chemotherapeutic agent temozolomide (TMZ). The methylation status MGMT promoter has been implicated as a critical biomarker response TMZ. Methods To explore mechanisms underlying resistance, we developed two TMZ‐resistant cell lines through gradual increase TMZ exposure. Transcriptome sequencing revealed that...
Traumatic brain injury (TBI) is a leading cause of disability in adults, significantly affecting patients' quality life. Extracellular vesicles (EVs) derived from human adipose-derived mesenchymal stem cells (hADSCs) have demonstrated therapeutic potential TBI treatment. However, their limited targeting ability, short half-life, and low bioavailability present significant challenges for clinical application. In this study, we engineered extracellular (EEVs) by transfecting hADSCs with...
The World Health Organization (WHO) CNS5 classification system highlights the significance of molecular biomarkers in providing meaningful prognostic and therapeutic information for gliomas. However, predicting individual patient survival remains challenging due to lack integrated quantitative assessment tools. In this study, we aimed design a WHO CNS5-related risk signature predict overall (OS) rate glioma patients using machine learning algorithms.We extracted data from who underwent an...
Introduction Elderly glioblastoma (GBM) patients is characterized by high incidence and poor prognosis. Currently, however, there still a lack of adequate molecular characterization elderly GBM patients. The fifth edition the WHO Classification Central Nervous System Tumors (WHO5) gives new classification approach for GBM, characteristics need to be investigated under this framework. Methods clinical radiological features with different classifications ages were compared. Potential...
Abstract Neutrophils and their production of neutrophil extracellular traps (NETs) significantly contribute to neuroinflammation brain damage after intracerebral hemorrhage (ICH). Although Akebia saponin D (ASD) demonstrates strong anti‐inflammatory activities blood–brain barrier permeability, its role in regulating NETs formation following ICH is uncharted. Our research focused on unraveling the influence ASD mediated by mechanisms involved. We found that increased levels peripheral blood...
Background Detection of circulating tumor cells (CTCs) is a promising technology in management; however, the slow development CTC identification methods hinders their clinical utility. Moreover, detection currently challenging owing to major issues such as isolation and correct identification. To improve efficiency glioma CTCs, we developed karyoplasmic ratio (KR)-based method constructed an automatic recognition algorithm. We also intended determine correlation between high-KR patients’...
2021 World Health Organization (WHO) Central Nervous System (CNS) tumor classification increasingly emphasizes the important role of molecular markers in glioma diagnoses. Preoperatively non-invasive "integrated diagnosis" will bring great benefits to treatment and prognosis these patients with special locations that cannot receive craniotomy or needle biopsy. Magnetic resonance imaging (MRI) radiomics liquid biopsy (LB) have potential for diagnosis grading since they are both easy perform....
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), scPagwas (pathway-based polygenic regression framework) methods explore links UDIPs GBM. Two-sample Mendelian randomization analyses were conducted identify causal relationships Colocalization analysis was performed validate associations, while used...
Abstract Glioblastoma multiforme (GBM) is recognized as a highly aggressive brain tumor, exhibiting profound resistance to temozolomide (TMZ) chemotherapy. While methylation of the MGMT promoter has been identified significant factor determining response TMZ, recent evidence indicates that regulatory mechanisms are multifaceted, involving complex interplays with broader epigenetic and transcriptional landscapes. In this study, we meticulously developed TMZ-resistant GBM cell lines applied...