Glioblastoma multiforme (GBM), the most common and malignant type of glioma, is characterized by a poor prognosis and the lack of an effective treatment, which are due to a small sub-population of cel

NIAID Data Ecosystem40

MOESM1 of Integrated genomic characterization of cancer genes in glioma

胶质瘤基因组学

分子病理学

Additional file 1: Figure S1. Driver genes in IDH1-mutated, non-IDH1-mutated and total glioma groups. A. The overlap of driver genes predicted by OncodriveCLUST in the three groups; B. The overlap of

Figshare2017-10-14 更新20

ena-DATASET-VUMC-CCA-03-09-2014-18:57:30:134-11 - samples

胶质瘤基因组学

肿瘤预后标志物

Background: The disease course of patients with diffuse low-grade glioma is notoriously unpredictable. Temporal and spatially distinct samples may provide insight into the evolution of clinically rele

NIAID Data Ecosystem50

DataSheet_1_Glioblastoma Primary Cells Retain the Most Copy Number Alterations That Predict Poor Survival in Glioma Patients.pdf

胶质瘤基因组学

临床预后

Gliomas are solid tumors that originate from glial cells in the brain or spine and account for 74.6% of malignant primary central nervous system tumors worldwide. As patient-derived primary cells are

NIAID Data Ecosystem40

Glioma_Exome_GER_CONTROLS - samples

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