Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen. - Wikidata - wikimedia - TriplyDB

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

http://www.wikidata.org/entity/Q33337206

about

GREB1 functions as a growth promoter and is modulated by IL6/STAT3 in breast cancer ESR1 is co-expressed with closely adjacent uncharacterised genes spanning a breast cancer susceptibility locus at 6q25.1 CD36 repression activates a multicellular stromal program shared by high mammographic density and tumor tissues Association of GATA3, P53, Ki67 status and vascular peritumoral invasion are strongly prognostic in luminal breast cancer Lamellipodin promotes invasive 3D cancer cell migration via regulated interactions with Ena/VASP and SCAR/WAVE.Targeting the RB-E2F pathway in breast cancer Reconstruction of nuclear receptor network reveals that NR2E3 is a novel upstream regulator of ESR1 in breast cancer TMEM33: a new stress-inducible endoplasmic reticulum transmembrane protein and modulator of the unfolded protein response signaling Distinct lymphocyte antigens 6 (Ly6) family members Ly6D, Ly6E, Ly6K and Ly6H drive tumorigenesis and clinical outcome Amplified loci on chromosomes 8 and 17 predict early relapse in ER-positive breast cancers 'Omic approaches to preventing or managing metastatic breast cancer A data similarity-based strategy for meta-analysis of transcriptional profiles in cancer.Double-edged role of G protein-coupled estrogen receptor 1 in breast cancer prognosis: an analysis of 167 breast cancer samples and online data sets A voting approach to identify a small number of highly predictive genes using multiple classifiers.A transcriptional sketch of a primary human breast cancer by 454 deep sequencing PrognoScan: a new database for meta-analysis of the prognostic value of genes.SplicerAV: a tool for mining microarray expression data for changes in RNA processing.Unraveling breast cancer heterogeneity through transcriptomic and epigenomic analysis.A semi-parametric Bayesian model for unsupervised differential co-expression analysis Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes.Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context.An 8-gene qRT-PCR-based gene expression score that has prognostic value in early breast cancer.Research resource: nuclear receptors as transcriptome: discriminant and prognostic value in breast cancer mAPC-GibbsOS: an integrated approach for robust identification of gene regulatory networks.Enumerating the gene sets in breast cancer, a "direct" alternative to hierarchical clustering.Analyzing the regulation of metabolic pathways in human breast cancer.Increased macroH2A1.1 expression correlates with poor survival of triple-negative breast cancer patients Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures.Hydroxychloroquine inhibits autophagy to potentiate antiestrogen responsiveness in ER+ breast cancer.VAV3 mediates resistance to breast cancer endocrine therapy.Meta-analysis of gene expression microarrays with missing replicates.A fuzzy gene expression-based computational approach improves breast cancer prognostication Quantifying differential gene connectivity between disease states for objective identification of disease-relevant genes.PIK3CA mutations associated with gene signature of low mTORC1 signaling and better outcomes in estrogen receptor-positive breast cancer.An integrated bioinformatics approach identifies elevated cyclin E2 expression and E2F activity as distinct features of tamoxifen resistant breast tumors.Microarray-based oncogenic pathway profiling in advanced serous papillary ovarian carcinoma.Dynamic changes in gene expression in vivo predict prognosis of tamoxifen-treated patients with breast cancer.Overexpression of POLQ confers a poor prognosis in early breast cancer patients.Kinesin family deregulation coordinated by bromodomain protein ANCCA and histone methyltransferase MLL for breast cancer cell growth, survival, and tamoxifen resistance.PBX1 genomic pioneer function drives ERα signaling underlying progression in breast cancer.

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Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

http://www.wikidata.org/entity/Q33337206

description

2008 nî lūn-bûn

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2008 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2008 թվականի մայիսին հրատարակված գիտական հոդված

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2008年の論文

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2008年学术文章

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2008年学术文章

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2008年学术文章

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2008年学术文章

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2008年学术文章

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2008年學術文章

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Predicting prognosis using mol ...... cancer treated with tamoxifen.

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Predicting prognosis using mol ...... cancer treated with tamoxifen.

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Predicting prognosis using mol ...... cancer treated with tamoxifen.

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Andrew M Tutt

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Cheryl Gillet

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Christos Sotiriou

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Els Mjj Berns

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Françoise Lallemand

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James F Reid

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John A Foekens

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Kenneth Ryder

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Martine J Piccart

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Maurice Phm Jansen

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P2860

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

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer

''R"--project for statistical computing

Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis

CleanEx: a database of heterogeneous gene expression data based on a consistent gene nomenclature.

Limits of predictive models using microarray data for breast cancer clinical treatment outcome.

Molecular classification of tamoxifen-resistant breast carcinomas by gene expression profiling.

Breast cancer classification and prognosis based on gene expression profiles from a population-based study.

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10.1186/1471-2164-9-239

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9

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Marco A. Pierotti

Benjamin Haibe-Kains

Christine Desmedt

Maria Grazia Daidone

Gianluca Bontempi

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2008-05-22T00:00:00Z

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1010596045

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18498629

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estrogen-receptor positive breast cancer

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2423197

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