about
Anatomic Location of Tumor Predicts the Accuracy of Motor Function Localization in Diffuse Lower-Grade Gliomas Involving the Hand Knob Area.Radiologic Features and Expression of Vascular Endothelial Growth Factor Stratify Survival Outcomes in Patients with Glioblastoma.Regional specificity of 1p/19q co-deletion combined with radiological features for predicting the survival outcomes of anaplastic oligodendroglial tumor patients.Prognostic value of a microRNA signature as a novel biomarker in patients with lower-grade gliomas.Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature.Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.MEGF10, a Glioma Survival-Associated Molecular Signature, Predicts IDH Mutation Status.Molecular and clinical characterization of IDH associated immune signature in lower-grade gliomas.Genetic and clinical characterization of B7-H3 (CD276) expression and epigenetic regulation in diffuse brain gliomaMolecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomasAmino acid metabolism-related gene expression-based risk signature can better predict overall survival for gliomaADAMTSL4, a Secreted Glycoprotein, Is a Novel Immune-Related Biomarker for Primary Glioblastoma MultiformePD-L2 expression is correlated with the molecular and clinical features of glioma, and acts as an unfavorable prognostic factor.Combinations of four or more CpGs methylation present equivalent predictive value for MGMT expression and temozolomide therapeutic prognosis in gliomas.MR imaging based fractal analysis for differentiating primary CNS lymphoma and glioblastomaPABPC1 relevant bioinformatic profiling and prognostic value in gliomasTranscriptomic Analysis of Glioma Based on IDH Status Identifies ACAA2 as a Prognostic Factor in Lower Grade GliomaPostoperative standard chemoradiotherapy benefits primary glioblastoma patients of all agesPeripheral blood test provides a practical method for glioma evaluation and prognosis predictionMolecular and clinical characterization of TMEM71 expression at the transcriptional level in gliomaClinical practice guidelines for the diagnosis and treatment of adult diffuse glioma-related epilepsyPrognostic power of a lipid metabolism gene panel for diffuse gliomasAwake craniotomy for gliomas involving motor-related areas: classification and function recovery
P50
Q38609514-F4679EA4-779B-41AB-9F9E-22F46B90320CQ40301113-FB118DAB-7711-4C53-9CB9-9312C3D2F121Q47325891-2E0FF05C-E9DA-431D-9A7F-74FB94022CF5Q47369186-83C56578-B249-48FC-B063-7CB5D3E2CDDDQ48101369-4102ADE6-610E-4532-981F-144FB32379C7Q48115607-4106DE4C-6584-499A-92E4-44C50613E7ABQ55299064-2EED0EFA-A949-4C0D-9D00-1CE5C15DF32FQ55456893-556B1555-DCD8-4257-9808-47BAF4DD7986Q58693796-C80321E3-2E07-43A5-9921-C1BFE2FE0A68Q58772586-23609739-3166-4BC0-B8C6-E9BE8E8594D3Q60950659-44DC835C-F8E3-4C01-B799-C2D6FA2AFCAAQ61800723-42828EE7-C822-4050-9804-2460DFB306D9Q64883722-0297BBA3-8D25-4C0A-AD02-3224265783DBQ64930362-1ADB6550-8E0F-4084-93F4-32B0B726102EQ91243612-7F1860D7-6475-4936-92A0-503E4967B288Q91664368-737A3E37-C1AA-4789-8324-AB843CEF5220Q91843726-EA028D00-A490-49B7-AE3D-D3F50C5BD443Q92086465-FF586A8B-4A59-4F4F-A95D-F5E10493FE3FQ92623911-ECFAC10D-0D1C-4E4C-84DF-EDE42336803EQ92626486-4D9B0AD1-A144-4ED9-B14E-CAE23CDE8E38Q93035592-08FF8E8D-CC8A-4DAC-9762-8BFCF594F6C7Q93050356-C775371E-D4F0-471A-B7FA-7B1561C8D69DQ94462620-631C65AD-347A-47A9-9311-FC8D9EC02451
P50
description
researcher
@en
name
T Jiang
@en
type
label
T Jiang
@en
prefLabel
T Jiang
@en
P31
P496
0000-0002-7008-6351