Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.
about
Putative DNA/RNA helicase Schlafen-11 (SLFN11) sensitizes cancer cells to DNA-damaging agentsComparative meta-analysis of prognostic gene signatures for late-stage ovarian cancerStroma-associated master regulators of molecular subtypes predict patient prognosis in ovarian cancer.Angiogenic mRNA and microRNA gene expression signature predicts a novel subtype of serous ovarian cancerIntegrated analysis of gene expression, CpG island methylation, and gene copy number in breast cancer cells by deep sequencingPrediction of chemo-response in serous ovarian cancercuratedOvarianData: clinically annotated data for the ovarian cancer transcriptomeMás-o-menos: a simple sign averaging method for discrimination in genomic data analysis.Integrative network analysis of TCGA data for ovarian cancer.CAERUS: predicting CAncER oUtcomeS using relationship between protein structural information, protein networks, gene expression data, and mutation data.Microarray-based oncogenic pathway profiling in advanced serous papillary ovarian carcinoma.Time to recurrence and survival in serous ovarian tumors predicted from integrated genomic profiles.OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets.Expression profile of COL2A1 and the pseudogene SLC6A10P predicts tumor recurrence in high-grade serous ovarian cancer.Single Gene Prognostic Biomarkers in Ovarian Cancer: A Meta-Analysis.Molecular characterization of an intact p53 pathway subtype in high-grade serous ovarian cancer.An IL6-correlated signature in serous epithelial ovarian cancer associates with growth factor responseExtending information retrieval methods to personalized genomic-based studies of disease.An integrated mRNA and microRNA expression signature for glioblastoma multiforme prognosis.Prediction of resistance to chemotherapy in ovarian cancer: a systematic review.The identification of gene expression profiles associated with progression of human diabetic neuropathyVascular endothelial growth factor A as predictive marker for mTOR inhibition in relapsing high-grade serous ovarian cancerRisk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples.Prognostic significance of differential expression of angiogenic genes in women with high-grade serous ovarian carcinomaTight junction proteins claudin-3 and claudin-4 control tumor growth and metastasesPrognostically relevant gene signatures of high-grade serous ovarian carcinoma.Pathway index models for construction of patient-specific risk profilesGenetic and molecular changes in ovarian cancer.A VEGF-dependent gene signature enriched in mesenchymal ovarian cancer predicts patient prognosis.Expression signature distinguishing two tumour transcriptome classes associated with progression-free survival among rare histological types of epithelial ovarian cancerStromal responses among common carcinomas correlated with clinicopathologic featuresComprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer.Altered glutamine metabolism in platinum resistant ovarian cancer.KCNN4 and S100A14 act as predictors of recurrence in optimally debulked patients with serous ovarian cancer.TR3 modulates platinum resistance in ovarian cancer.Ovarian cancer evolution through stochastic genome alterations: defining the genomic role in ovarian cancer.Identifying prognostic signature in ovarian cancer using DirGenerankThe Doppelgänger Effect: Hidden Duplicates in Databases of Transcriptome Profiles.High mRNA expression level of IL-6R was associated with better prognosis for patients with ovarian cancer: a pooled meta-analysis.IPI59: An Actionable Biomarker to Improve Treatment Response in Serous Ovarian Carcinoma Patients
P2860
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P2860
Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Gene expression profile for pr ...... ross two independent datasets.
@ast
Gene expression profile for pr ...... ross two independent datasets.
@en
Gene expression profile for pr ...... ross two independent datasets.
@nl
type
label
Gene expression profile for pr ...... ross two independent datasets.
@ast
Gene expression profile for pr ...... ross two independent datasets.
@en
Gene expression profile for pr ...... ross two independent datasets.
@nl
prefLabel
Gene expression profile for pr ...... ross two independent datasets.
@ast
Gene expression profile for pr ...... ross two independent datasets.
@en
Gene expression profile for pr ...... ross two independent datasets.
@nl
P2093
P2860
P1433
P1476
Gene expression profile for pr ...... ross two independent datasets.
@en
P2093
Hideaki Masuzaki
Hidetaka Katabuchi
Hironori Tashiro
Hiroyuki Fujiwara
Hisaya Fujiwara
Ituro Inoue
Kazunobu Sueyoshi
Kenichi Tanaka
Kohei Kotera
Masayuki Hatae
P2860
P356
10.1371/JOURNAL.PONE.0009615
P407
P577
2010-03-12T00:00:00Z