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Robust Molecular Classification of Ependymal Tumors Across All Anatomic Compartments

ChEBI2015-05-21 更新2026-07-12 收录

神经肿瘤分子分型

室管膜肿瘤病理学

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https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-65362 数据链接链接失效反馈

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Robust Molecular Classification of Ependymal Tumors Across All Anatomic Compartments

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创建时间：

2015-05-21

神经肿瘤分子分型

胶质瘤基因表达

Purpose: Gene expression analyses comparing tumors of different behaviors have been used for the identification of genes that have a role in the growth and maintenance of tumors, with the aim of both

NIAID Data Ecosystem70

Clinicopathological characteristics of patients (n = 109).

神经肿瘤分子分型

临床病理特征

Abbreviations: MGMT, O6-methylguanine-DNA methyltransferase; IDH1, Isocitrate dehydrogenase 1Clinicopathological characteristics of patients (n = 109).

Figshare2015-12-03 更新20

Additional file 1 of CNS tumors with PLAGL1-fusion: beyond ZFTA and YAP1 in the genetic spectrum of supratentorial ependymomas

神经肿瘤分子分型

室管膜瘤遗传学

Additional file 1.

Figshare2024-08-15 更新20

Glioneuronal tumor with ATRX alteration, kinase fusion and anaplastic features (GTAKA) with leptomeningeal dissemination and ZMIZ1::RET fusion

神经肿瘤分子分型

肿瘤基因组学

This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

NIAID Data Ecosystem30

DataSheet_1_Identification of Immune-Related lncRNA Prognostic Signature and Molecular Subtypes for Glioblastoma.docx

肿瘤免疫生物标志物

神经肿瘤分子分型

BackgroundGlioblastoma multiforme (GBM) is extensively genetically and transcriptionally heterogeneous, which poses challenges for classification and management. Long noncoding RNAs (lncRNAs) play a c

NIAID Data Ecosystem20

Robust Molecular Classification of Ependymal Tumors Across All Anatomic Compartments

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