Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets. - Wikidata - wikimedia - TriplyDB

Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.

Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.

http://www.wikidata.org/entity/Q33543156

about

Putative DNA/RNA helicase Schlafen-11 (SLFN11) sensitizes cancer cells to DNA-damaging agents Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer Stroma-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 cancer Integrated analysis of gene expression, CpG island methylation, and gene copy number in breast cancer cells by deep sequencing Prediction of chemo-response in serous ovarian cancer curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome Más-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 response Extending 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 neuropathy Vascular endothelial growth factor A as predictive marker for mTOR inhibition in relapsing high-grade serous ovarian cancer Risk 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 carcinoma Tight junction proteins claudin-3 and claudin-4 control tumor growth and metastases Prognostically relevant gene signatures of high-grade serous ovarian carcinoma.Pathway index models for construction of patient-specific risk profiles Genetic 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 cancer Stromal responses among common carcinomas correlated with clinicopathologic features Comprehensive 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 DirGenerank The 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

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Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.

http://www.wikidata.org/entity/Q33543156

description

2010 nî lūn-bûn

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2010 թուականի Մարտին հրատարակուած գիտական յօդուած

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2010 թվականի մարտին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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Gene expression profile for pr ...... ross two independent datasets.

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Gene expression profile for pr ...... ross two independent datasets.

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Gene expression profile for pr ...... ross two independent datasets.

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type

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Gene expression profile for pr ...... ross two independent datasets.

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Gene expression profile for pr ...... ross two independent datasets.

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Gene expression profile for pr ...... ross two independent datasets.

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Gene expression profile for pr ...... ross two independent datasets.

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Gene expression profile for pr ...... ross two independent datasets.

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Gene expression profile for pr ...... ross two independent datasets.

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JOURNAL.PONE.0009615

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Gene expression profile for pr ...... ross two independent datasets.

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Hideaki Masuzaki

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Hidetaka Katabuchi

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Hironori Tashiro

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Hiroyuki Fujiwara

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Hisaya Fujiwara

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Ituro Inoue

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Kazunobu Sueyoshi

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Kenichi Tanaka

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Kohei Kotera

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Masayuki Hatae

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P2860

A novel bifunctional phospholipase c that is regulated by Galpha 12 and stimulates the Ras/mitogen-activated protein kinase pathway

hCAS/CSE1L associates with chromatin and regulates expression of select p53 target genes

Semi-supervised methods to predict patient survival from gene expression data

Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method

The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma.

Gene expression profiling predicts clinical outcome of breast cancer

New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada

Repeated observation of breast tumor subtypes in independent gene expression data sets

Oncogenic pathway signatures in human cancers as a guide to targeted therapies

Cross-validated Cox regression on microarray gene expression data.

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Kosuke Yoshihara

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42346182

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