A5101570146- Glioma Diagnosis and Treatment
- Ferroptosis and cancer prognosis
- MicroRNA in disease regulation
- Face and Expression Recognition
- Immune cells in cancer
- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- Cancer, Hypoxia, and Metabolism
- Anomaly Detection Techniques and Applications
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Cancer Immunotherapy and Biomarkers
- Metabolomics and Mass Spectrometry Studies
- Rough Sets and Fuzzy Logic
- Educational Technology and Assessment
- Image and Object Detection Techniques
- Alcohol Consumption and Health Effects
- Cancer Genomics and Diagnostics
- Colorectal Cancer Surgical Treatments
- Advanced Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Liver physiology and pathology
- Advanced Multi-Objective Optimization Algorithms
- Brain Metastases and Treatment
- Music and Audio Processing
Second Affiliated Hospital of Zhejiang University
2021-2024
Capital Medical University
2018-2022
Beijing Institute of Neurosurgery
2018-2022
Sun Yat-sen University
2022
Sichuan Tourism University
2022
Renji Hospital
2020
Shanghai Jiao Tong University
2020
Capital University
2019
Waseda University
2008-2013
Gliomas are the most common and malignant intracranial tumors in adults. Recent studies have revealed significance of functional genomics for glioma pathophysiological treatments. However, access to comprehensive genomic data analytical platforms is often limited. Here, we developed Chinese Glioma Genome Atlas (CGGA), a user-friendly portal storage interactive exploration cross-omics data, including nearly 2000 primary recurrent samples from cohort. Currently, open provided whole-exome...
This study is aimed at investigating the changes in relevant pathways and differential expression of related gene after ischemic stroke (IS) single-cell level using multiple weighted coexpression network analysis (WGCNA) analysis.The transcriptome datasets IS samples RNA sequencing (scRNA-seq) profiles cerebrovascular tissues were obtained by searching Gene Expression Omnibus (GEO) database. First, pathway scoring was calculated via set variation (GSVA) imported into WGCNA to acquire key...
Abstract Gliomas are the most common and malignant intracranial tumours in adults. Recent studies have shown that functional genomics greatly aids understanding of pathophysiology therapy glioma. However, comprehensive genomic data analysis platforms relatively limited. In this study, we developed Chinese Glioma Genome Atlas (CGGA, http://www.cgga.org.cn ), a user-friendly portal for storage interactive exploration multi-dimensional includes nearly 2,000 primary recurrent glioma samples from...
Background: Gliomas are aggressive tumors with various molecular and clinical characteristics exhibit strongly resistance to radio-chemotherapy. Programmed cell death 1 ligand 2 (PD-L2) is a surface protein, which was reported in many cancers, modulating cancer-associated immune responses, while the role of PD-L2 gliomas remained unclear. Herein, we aimed investigate biological behaviors prognostic values gliomas.Methods: Totally, enrolled RNA sequencing data 325 glioma samples from Chinese...
Autophagy plays a vital role in cancer initiation, malignant progression, and resistance to treatment; however, autophagy-related gene sets have rarely been analyzed glioblastoma. The purpose of this study was evaluate the prognostic significance genes patients with glioblastoma.Here, we collected whole transcriptome expression data from Chinese Glioma Genome Atlas (CGGA) Cancer (TCGA) datasets explore relationship between glioblastoma prognosis. R language primary analysis drawing tool.We...
Background Dysregulated receptor tyrosine kinases, such as the mesenchymal-epidermal transition factor (MET), have pivotal role in gliomas. MET and its interaction with tumor microenvironment been previously implicated secondary However, contribution of gene to cells’ ability escape immunosurveillance checkpoints primary gliomas, especially glioblastoma (GBM), which is a WHO grade 4 glioma worst overall survival, still poorly understood. Methods We investigated relationship between...
Background: Immunotherapy provided unprecedented advances in the treatment of several previously untreated cancers. However, these immunomodulatory maneuvers showed limited response to patients with glioma clinical trials. Our aim was depict immune characteristics cytolytic activity at genetic and transcriptome levels. Methods: In total, 325 gliomas from CGGA dataset as training cohort 699 TCGA validation were enrolled our analysis. We calculated for thousands gliomas. The interpreted by...
Glioblastoma (GBM) is the most malignant glioma, with a median overall survival (OS) of 14-16 months. Temozolomide (TMZ) first-line chemotherapy drug for but whether TMZ should be withheld from patients GBMs that lack O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation still under debate. DNA profiling holds great promise further stratifying responses MGMT unmethylated to TMZ. In this study, we studied 147 TMZ-treated GBM, whose information was obtained HumanMethylation27...
In a standard support vector machine (SVM), the training process has O(n <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ) time and xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> space complexities, where n is size of dataset. Thus, it computationally infeasible for very large datasets. Reducing dataset naturally considered to solve this problem. SVM classifiers depend on only vectors (SVs) that lie close separation boundary....
Aim: We aimed at investigating molecular features and potential clinical value of PABPC1 in gliomas. Materials & methods: assembled totally 1000 glioma samples with mRNA expression data from Chinese Glioma Genome Atlas The Cancer Atlas. utilized R language as the main analysis tool. Gene Ontology was performed for functional analysis. Results:PABPC1 downregulated gliomas higher malignance may contribute predictor proneural subtype Higher significantly related to better prognosis biological...
Body fluids/tissue identification (BFID) is an essential procedure in forensic practice, and RNA profiling has become one of the most important methods. Small non-coding RNAs, being expressed high copy numbers resistant to degradation, have great potential BFID but not been comprehensively characterized common stains. In this study, miRNA, piRNA, snoRNA, snRNA were sequenced 30 relevant samples (menstrual blood, saliva, semen, skin, venous vaginal secretion) using BGI platform. Based on...
There is mounting evidence that ischemic cerebral infarction contributes to vascular cognitive impairment and dementia in elderly. Ischemic stroke glioma are two majorly fatal diseases worldwide, which promote each other's development based on some common underlying mechanisms. As a post-transcriptional regulatory protein, RNA-binding protein important the of tumor (IS). The purpose this study was search for group (RBP) gene markers related prognosis occurrence IS, elucidate their mechanisms...
Abstract The central criterion of feature selection is that good sets contain features are highly correlated with the output, yet uncorrelated each other. Based on this criterion, we address problem through correlation‐based clustering and support vector machine (SVM) based ranking. Correlation‐based proposed to group into some clusters correlation between two features. As a result, any other in same cluster but clusters. From cluster, select as delegate its influence quantities output....
OBJECTIVE: To investigate the expression pattern, prognostic value and biological functional of LINC00174 in glioma. METHODS: In total, 140 glioma samples were collected as discovery cohort. TCGA RNA sequence dataset was obtained validation set. Kaplan–Meier survival multivariate Cox analysi s performed to evaluate difference. Furthermore, function analyzed by clonogenic intracranial tumor model assays. RESULTS: Overexpressed significantly correlated with grade well higher mortality analysis...
Abstract Diffuse gliomas (DGs) are the most common and lethal primary neoplasms in central nervous system. The latest 2021 World Health Organization (WHO) Classification of Tumors Central Nervous System (CNS) was published 2021, immensely changing approach to diagnosis decision making. As a part Chinese Glioma Genome Atlas (CGGA) project, our aim provide genomic profiling cohort. Two hundred eighty six with different grades were collected over last decade. Using Illumina HiSeq platform, 75.8...
Feature selection is a process to select subset of original features. It can improve the efficiency and accuracy by removing redundant irrelevant terms. commonly used in machine learning, has been wildly applied many fields. we propose new feature method. This an integrative hybrid first uses Affinity Propagation SVM sensitivity analysis generate subset, then use forward backward elimination method optimize based on ranking. Besides, apply this solve problem, Human resource selection. The...
The discrete particle swarm optimization (DPSO) is a kind of (PSO) algorithm to find optimal solutions for problems. This paper proposes an improved DPSO based on cooperative swarms, which partition the search space into lower dimensional subspaces. k-means split scheme and regular are applied solution vector swarms. Then swarms optimize different components cooperatively. Some strategies further used improve accuracy convergence. Application proposed (CDPSO) traveling salesman problem (TSP)...
Background: Isocitrate dehydrogenase (IDH) mutations are the most common genetic aberrations in gliomagenesis.We aimed to build a high-efficiency prediction gene signature patients with IDH-mutant glioma.Methods: In total, 167 gliomas from Chinese Glioma Genome Atlas (CGGA) dataset were included for discovery.The Cancer (TCGA) was used validation.R language main software environment our statistical operation and graphics.Results: We applied Time-Dependent ROC Curve (timeROC) method estimate...
Abstract In a standard support vector machine (SVM), the training process has O ( n 3 ) time and 2 space complexities, where is size of dataset. For very large datasets, it thus computationally infeasible. Reducing dataset naturally considered as method to solve this problem. SVM classifiers are constructed by using samples called vectors (SVs) that lie close separation boundary. Thus, removing other not relevant SVs might have no effect on building words, we need reserve likely be SVs....
Incidentally discovered diffusely infiltrating lower-grade gliomas (incidental LGGs, iLGGs) are defined as occasionally found in patients without tumor-related symptoms. At present, very few in-depth research studies on incidental LGGs were reported. We aimed to find out the inherent difference between iLGGs and with symptoms.We enrolled 2486 all-grade screened 1594 for further analysis. Medical records retrospectively reviewed iLGGs. Clinical mRNA sequencing data collected analysis.We that...