A5101673049- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- CAR-T cell therapy research
- Viral Infectious Diseases and Gene Expression in Insects
- Biosimilars and Bioanalytical Methods
- Meningioma and schwannoma management
- Ferroptosis and cancer prognosis
- Advanced MRI Techniques and Applications
- Cancer-related molecular mechanisms research
- Epilepsy research and treatment
- MicroRNA in disease regulation
- Neural dynamics and brain function
- Brain Metastases and Treatment
- MRI in cancer diagnosis
- Pharmacological Effects and Toxicity Studies
- Brain Tumor Detection and Classification
- Medical Imaging Techniques and Applications
- Neurobiology of Language and Bilingualism
- Advanced Neural Network Applications
- Pituitary Gland Disorders and Treatments
- Cancer, Hypoxia, and Metabolism
- Optical measurement and interference techniques
- Cancer Genomics and Diagnostics
Beijing Tian Tan Hospital
2016-2025
Capital Medical University
2016-2025
Beijing Institute of Neurosurgery
2016-2025
Chinese Institute for Brain Research
2015-2025
Beihang University
2022-2024
Capital University
2020-2024
PersonGen (China)
2019-2023
National Clinical Research Center for Digestive Diseases
2015-2022
Third Affiliated Hospital of Southern Medical University
2020
Beijing Administration Institute
2020
The Chinese Glioma Cooperative Group (CGCG) Guideline Panel for adult diffuse gliomas provided recommendations diagnostic and therapeutic procedures. covered all fields of expertise in neuro-oncology, i.e. neurosurgeons, neurologists, neuropathologists, neuroradiologists, radiation medical oncologists clinical trial experts. task made clearer more transparent choices about outcomes considered most relevant through searching the references evaluating their value. scientific evidence papers...
The aim of this study was to develop a radiomics signature for prediction progression-free survival (PFS) in lower-grade gliomas and investigate the genetic background behind signature. In retrospective study, training (n = 216) validation 84) cohorts were collected from Chinese Glioma Genome Atlas Cancer Atlas, respectively. For each patient, total 431 features extracted preoperative T2-weighted magnetic resonance images. A generated cohort, its prognostic value evaluated both cohorts....
Patients afflicted with low-grade glioma (LGG) frequently suffer from seizures. The mechanisms of seizure initiation in these patients remain poorly understood. Tumor location has been correlated initiation. However, correlative studies relied on dichotomized data analysis based arbitrary lobe assignments. As a result, the lesion-symptom correlation may be incorrectly interpreted. Here, we present first study that used voxel-wise quantitative lesion to investigate spatial between tumor and...
Longitudinal measurement of glioma burden with MRI is the basis for treatment response assessment. In this study, we developed a deep learning algorithm that automatically segments abnormal fluid attenuated inversion recovery (FLAIR) hyperintensity and contrast-enhancing tumor, quantitating tumor volumes as well product maximum bidimensional diameters according to Response Assessment in Neuro-Oncology (RANO) criteria (AutoRANO). Two cohorts patients were used study. One consisted 843...
Abstract Purpose: Since CD7 may represent a potent target for T-lymphoblastic leukemia/lymphoma (T-ALL/LBL) immunotherapy, this study aimed to investigate safety and efficacy of autologous CD7–chimeric antigen receptor (CAR) T cells in patients with relapsed refractory (R/R) T-ALL/LBL, as well its manufacturing feasibility. Patients Methods: Preclinical phase was conducted NPG mice injected Luc+ GFP+CCRF-CEM cells. Open-label I clinical trial (NCT04004637) enrolled R/R CD7-positive T-ALL/LBL...
// Pei Yang 1, 2, * , Wei Zhang Yinyan Wang 2 Xiaoxia Peng 3 Baoshi Chen Xiaoguang Qiu 4 Guilin Li 6 Shouwei 7 Chenxing Wu Kun Yao 8 Wenbin 9 Yan 10 Jie 11 Yongping You Clark C. Tao Jiang 5 1 Beijing Neurosurgical Institute, Capital Medical University, Beijing, China Department of Neurosurgery, Tiantan Hospital, Epidemiology and Biostatistics, School Public Health Family Medicine, Radiation Therapy, National Clinical Research Center for Neurological Diseases, Neuropathology, Sanbo Brain...
Grade II and III gliomas have variable clinical behaviors, showing the distinct molecular genetic alterations from glioblastoma (GBM), many of which eventually transform into more aggressive tumors. Since classifications grade II/III based on been recently emerging, it is now a trend to include data standard diagnostic algorithm glioma.Here we sequenced TERT promoter mutational status (TERTp-mut) in DNA 377 analyzed factors, aberrations, transcriptome profiles.We found that TERTp-mut...
P53 mutation status is a pivotal biomarker for gliomas. Here, we developed machine-learning model to predict p53 in lower-grade gliomas based on radiomic features extracted from conventional magnetic resonance (MR) images.Preoperative MR images were retrospectively obtained 272 patients with primary grade II/III The randomly allocated 2:1 ratio training (n = 180) or validation 92) set. A total of 431 each patient. lest absolute shrinkage and selection operator (LASSO) method was used feature...
Neuroimaging has entered the era of big data. However, advancement preprocessing pipelines falls behind rapid expansion data volume, causing substantial computational challenges. Here we present DeepPrep, a pipeline empowered by deep learning and workflow manager. Evaluated on over 55,000 scans, DeepPrep demonstrates tenfold acceleration, scalability robustness compared to state-of-the-art pipeline, thereby meeting requirements neuroimaging.
Abstract Glioblastoma (GBM) is the most aggressive subtype of primary brain tumors, which marginally respond to standard chemotherapy due blood‐brain barrier (BBB) and low tumor specificity therapeutics. Herein, a double‐layered microneedle (MN) patch rationally engineered by integrating acid light dual‐activatable PROteolysis TArgeting Chimera (PROTAC) nanoparticles self‐oxygenating BSA‐MnO 2 (BM) for GBM treatment. The MN administrated at site locally deliver PROTAC prodrug BM...
The right hemispheric dominance in visuospatial attention human brain has been well established. Converging evidence documented that ventral posterior parietal cortex (PPC) plays an important role attention. of dorsal PPC subregions, especially the superior lobule (SPL) is still controversial. In current study, we used repetitive transcranial magnetic stimulation (rTMS) and diffusion resonance imaging (MRI) techniques to test SPL investigate potential neuroanatomical basis for hemisphere...
To investigate the association between imaging features and low-grade gliomas (LGG) related epilepsy, to propose a radiomics-based model for prediction of LGG-associated epilepsy. This retrospective study consecutively enrolled 286 patients with LGGs (194 in primary cohort 92 validation cohort). T2-weighted MR images (T2WI) were used characterize risk factors LGG-related epilepsy: Tumor location 3-D determined, following which interactions these two kinds analyzed. Elastic net was applied...
Necrosis is a hallmark feature of glioblastoma (GBM). This study investigated the prognostic role necrotic patterns in GBM using fractal dimension (FD) and lacunarity analyses magnetic resonance imaging (MRI) data evaluated biological processes leading to necrosis. We retrospectively reviewed clinical MRI 95 patients with GBM. FD necrosis on were calculated by analysis subjected survival analysis. also performed gene ontology 32 available RNA-seq data. Univariate revealed that < 1.56 > 0.46...
Accumulating evidence suggests a role of semaphorins in vascular homeostasis. Here, we investigate the Sema7A (semaphorin 7A) atherosclerosis and its underlying mechanism.Using genetically engineered Sema7A-/-ApoE-/- mice, showed that deletion attenuates atherosclerotic plaque formation primarily aorta ApoE-/- mice on high-fat diet. A higher level atheroprone lesser curvature correlation with disturbed flow. This notion is supported by elevated expression human umbilical venous endothelial...
Background Glioblastomas (GBM) are comprised of a heterogeneous population tumor cells, immune and extracellular matrix. Interactions among these different cell types pro-/anti-inflammatory cytokines may promote development progression. Aims The objective this study was to develop cytokine-related gene signature improve outcome prediction for patients with primary GBM. Methods Here, we used Cox regression risk-score analysis in GBMs from the whole transcriptome sequencing profile Chinese...
<h3>Importance</h3> Deep learning may be able to use patient magnetic resonance imaging (MRI) data aid in brain tumor classification and diagnosis. <h3>Objective</h3> To develop clinically validate a deep system for automated identification of 18 types tumors from MRI data. <h3>Design, Setting, Participants</h3> This diagnostic study was conducted using collected between 2000 2019 37 871 patients. A segmentation intracranial based on T1- T2-weighted images T2 contrast sequences developed...
Avermectins (AVEs), which are widely used for the treatment of agricultural parasitic diseases, belong to a family 6,6-spiroketal moiety-containing, macrolide natural products. AVE biosynthesis is known employ type I polyketide synthase (PKS) system assemble molecular skeleton further functionalization. It remains unknown how and when spiroketal formation proceeds, particularly regarding role AveC, unique protein in pathway that shares no sequence homology any enzyme function. Here, we...