Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis.
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Biomarkers for glioma immunotherapy: the next generationCase comparison and literature review of glioblastoma: A tale of two tumorsCrossHub: a tool for multi-way analysis of The Cancer Genome Atlas (TCGA) in the context of gene expression regulation mechanismsA novel integrated gene coexpression analysis approach reveals a prognostic three-transcription-factor signature for glioma molecular subtypesDiscovering key regulatory mechanisms from single-factor and multi-factor regulations in glioblastoma utilizing multi-dimensional data.Transcriptional diversity of long-term glioblastoma survivors.Cancer genomic research at the crossroads: realizing the changing genetic landscape as intratumoral spatial and temporal heterogeneity becomes a confounding factor.Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.KITENIN promotes glioma invasiveness and progression, associated with the induction of EMT and stemness markers.Integrating multidimensional omics data for cancer outcome.A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome.Integrated analysis of genome-wide DNA methylation, gene expression and protein expression profiles in molecular subtypes of WHO II-IV gliomas.FBLN4 as candidate gene associated with long-term and short-term survival with primary glioblastoma.Circulating tumor cell is a common property of brain glioma and promotes the monitoring systemProteomic analysis of cerebrospinal fluid: toward the identification of biomarkers for gliomas.Glioblastoma - A tale of two tumors: Case comparison and literature reviewMolecular heterogeneity of glioblastoma and its clinical relevance.Chromosomal Instability and Phosphoinositide Pathway Gene Signatures in Glioblastoma MultiformeBeyond the World Health Organization grading of infiltrating gliomas: advances in the molecular genetics of glioma classification.Creation of an NCI comparative brain tumor consortium: informing the translation of new knowledge from canine to human brain tumor patients.The Epithelial-to-Mesenchymal Transition-Like Process in Glioblastoma: An Updated Systematic Review and In Silico Investigation.Sample Level Enrichment Analysis of KEGG Pathways Identifies Clinically Relevant Subtypes of Glioblastoma.RNA processing as an alternative route to attack glioblastoma.A mesenchymal glioma stem cell profile is related to clinical outcome.PATZ1 is a new prognostic marker of glioblastoma associated with the stem-like phenotype and enriched in the proneural subtype.Blocking epithelial-to-mesenchymal transition in glioblastoma with a sextet of repurposed drugs: the EIS regimen.Glioblastoma and acute myeloid leukemia: malignancies with striking similarities.Analysis of the cancer genome atlas (TCGA) database identifies an inverse relationship between interleukin-13 receptor α1 and α2 gene expression and poor prognosis and drug resistance in subjects with glioblastoma multiforme.Novel anti IGFBP2 single chain variable fragment inhibits glioma cell migration and invasion.The Pluripotent Stem-Cell Marker Alkaline Phosphatase is Highly Expressed in Refractory Glioblastoma with DNA Hypomethylation.Molecular characterization of long-term survivors of glioblastoma using genome- and transcriptome-wide profiling.Genetic and Epigenetic Features of Rapidly Progressing IDH-Mutant Astrocytomas
P2860
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P2860
Identification of prognostic gene signatures of glioblastoma: a study based on TCGA data analysis.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մարտին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Identification of prognostic g ...... y based on TCGA data analysis.
@ast
Identification of prognostic g ...... y based on TCGA data analysis.
@en
Identification of prognostic g ...... y based on TCGA data analysis.
@nl
type
label
Identification of prognostic g ...... y based on TCGA data analysis.
@ast
Identification of prognostic g ...... y based on TCGA data analysis.
@en
Identification of prognostic g ...... y based on TCGA data analysis.
@nl
prefLabel
Identification of prognostic g ...... y based on TCGA data analysis.
@ast
Identification of prognostic g ...... y based on TCGA data analysis.
@en
Identification of prognostic g ...... y based on TCGA data analysis.
@nl
P2093
P2860
P356
P1433
P1476
Identification of prognostic g ...... y based on TCGA data analysis.
@en
P2093
Agda Karina Lucio-Eterovic
Dimpy Koul
Jonas S Almeida
Ken Aldape
Pablo R Freire
W K Alfred Yung
Yong-Wan Kim
P2860
P304
P356
10.1093/NEUONC/NOT024
P50
P577
2013-03-15T00:00:00Z