A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: microfibril-associated glycoprotein 2. - Wikidata - awgldk - TriplyDB

A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: microfibril-associated glycoprotein 2.

A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: microfibril-associated glycoprotein 2.

http://www.wikidata.org/entity/Q34433540

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Network biomarkers reveal dysfunctional gene regulations during disease progression Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer Inorganic Arsenic-induced cellular transformation is coupled with genome wide changes in chromatin structure, transcriptome and splicing patterns An RNA interference lethality screen of the human druggable genome to identify molecular vulnerabilities in epithelial ovarian cancer Microfibril-associated glycoprotein 2 (MAGP2) loss of function has pleiotropic effects in vivo Angiogenic mRNA and microRNA gene expression signature predicts a novel subtype of serous ovarian cancer Identification of novel therapeutic targets in microdissected clear cell ovarian cancers Meta-analytical biomarker search of EST expression data reveals three differentially expressed candidates.curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome Más-o-menos: a simple sign averaging method for discrimination in genomic data analysis.Enriched protein screening of human bone marrow mesenchymal stromal cell secretions reveals MFAP5 and PENK as novel IL-10 modulators.Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer.Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer BET Bromodomain Inhibition Promotes Anti-tumor Immunity by Suppressing PD-L1 Expression.Identification of a potential ovarian cancer stem cell gene expression profile from advanced stage papillary serous ovarian cancer.Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes.Calcium-dependent FAK/CREB/TNNC1 signalling mediates the effect of stromal MFAP5 on ovarian cancer metastatic potential.OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets.Single Gene Prognostic Biomarkers in Ovarian Cancer: A Meta-Analysis.A network module-based method for identifying cancer prognostic signatures Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment.The H3K9 methyltransferase G9a is a marker of aggressive ovarian cancer that promotes peritoneal metastasis.Gene expression patterns of hemizygous and heterozygous KIT mutations suggest distinct oncogenic pathways: a study in NIH3T3 cell lines and GIST samples.Similarity of markers identified from cancer gene expression studies: observations from GEO HTLV-1-infected CD4+ T-cells display alternative exon usages that culminate in adult T-cell leukemia Wnt5a suppresses epithelial ovarian cancer by promoting cellular senescence.Semi-supervised learning improves gene expression-based prediction of cancer recurrence.Genome-wide expression and copy number analysis identifies driver genes in gingivobuccal cancers PTN signaling: Components and mechanistic insights in human ovarian cancer.Ecotopic viral integration site 1 (EVI1) regulates multiple cellular processes important for cancer and is a synergistic partner for FOS protein in invasive tumors.ALDH1A1 is a novel EZH2 target gene in epithelial ovarian cancer identified by genome-wide approaches Multidrug resistance-linked gene signature predicts overall survival of patients with primary ovarian serous carcinoma Identification of differentially expressed genes according to chemosensitivity in advanced ovarian serous adenocarcinomas: expression of GRIA2 predicts better survival.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 Characterization of the Expression of the RNA Binding Protein eIF4G1 and Its Clinicopathological Correlation with Serous Ovarian Cancer Elevated AKAP12 in paclitaxel-resistant serous ovarian cancer cells is prognostic and predictive of poor survival in patients.RanBPM expression regulates transcriptional pathways involved in development and tumorigenesis.A cross-cancer differential co-expression network reveals microRNA-regulated oncogenic functional modules Overexpression of centromere protein K (CENPK) in ovarian cancer is correlated with poor patient survival and associated with predictive and prognostic relevance.

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A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: microfibril-associated glycoprotein 2.

http://www.wikidata.org/entity/Q34433540

description

2009 nî lūn-bûn

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2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

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2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված

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2009年の論文

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年学术文章

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A gene signature predictive fo ...... ril-associated glycoprotein 2.

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A gene signature predictive fo ...... ril-associated glycoprotein 2.

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A gene signature predictive fo ...... ril-associated glycoprotein 2.

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A gene signature predictive fo ...... ril-associated glycoprotein 2.

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A gene signature predictive fo ...... ril-associated glycoprotein 2.

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A gene signature predictive fo ...... ril-associated glycoprotein 2.

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A gene signature predictive fo ...... ril-associated glycoprotein 2.

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Aaron Bell

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Cindy A Pise-Masison

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Daniel K P Yip

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Dong-Choon Park

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Ke Hao

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Kwong-kwok Wong

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P2860

Further characterization of proteins associated with elastic fiber microfibrils including the molecular cloning of MAGP-2 (MP25)

Endothelial claudin: claudin-5/TMVCF constitutes tight junction strands in endothelial cells

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

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Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Exploring the metabolic and genetic control of gene expression on a genomic scale

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Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Adhesion of endothelial cells to NOV is mediated by the integrins alphavbeta3 and alpha5beta1

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