Molecular classification of tamoxifen-resistant breast carcinomas by gene expression profiling.
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Tamoxifen in early-stage estrogen receptor-positive breast cancer: overview of clinical use and molecular biomarkers for patient selectionGene expression profiling identifies activated growth factor signaling in poor prognosis (Luminal-B) estrogen receptor positive breast cancerLoss of Rho GDIα and resistance to tamoxifen via effects on estrogen receptor αCCNA2 is a prognostic biomarker for ER+ breast cancer and tamoxifen resistanceOvarian cancer cell line panel (OCCP): clinical importance of in vitro morphological subtypesA thirteen-gene expression signature predicts survival of patients with pancreatic cancer and identifies new genes of interest.Pathways to tamoxifen resistance.A model of estrogen-related gene expression reveals non-linear effects in transcriptional response to tamoxifen.Interrogating differences in expression of targeted gene sets to predict breast cancer outcome.Challenges of microarray data and the evaluation of gene expression profile signatures.Molecular profiling of platinum resistant ovarian cancer.A systems approach to clinical oncology: focus on breast cancer.Converting a breast cancer microarray signature into a high-throughput diagnostic test.Enhanced NF kappa B and AP-1 transcriptional activity associated with antiestrogen resistant breast cancerPathway analysis of gene signatures predicting metastasis of node-negative primary breast cancer.Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.Identification of functional networks of estrogen- and c-Myc-responsive genes and their relationship to response to tamoxifen therapy in breast cancer.Identification of a putative protein profile associated with tamoxifen therapy resistance in breast cancer.Analysis of DNA microarray expression dataEconomic analysis of gene expression profile data to guide adjuvant treatment in women with early-stage breast cancer.APRIL is a novel clinical chemo-resistance biomarker in colorectal adenocarcinoma identified by gene expression profilingPersonalized medicine in psoriasis: developing a genomic classifier to predict histological response to Alefacept.Acquired CDK6 amplification promotes breast cancer resistance to CDK4/6 inhibitors and loss of ER signaling and dependence.Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures.COL1A1, PRPF40A, and UCP2 correlate with hypoxia markers in non-small cell lung cancer.Widespread alternative exon usage in clinically distinct subtypes of Invasive Ductal CarcinomaAn integrated bioinformatics approach identifies elevated cyclin E2 expression and E2F activity as distinct features of tamoxifen resistant breast tumors.Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response.Expectations, validity, and reality in gene expression profiling.A gene expression signature that can predict the recurrence of tamoxifen-treated primary breast cancer.Differential gene expression in tamoxifen-resistant breast cancer cells revealed by a new analytical model of RNA-Seq dataHigh-throughput ectopic expression screen for tamoxifen resistance identifies an atypical kinase that blocks autophagy.Global characterization of signalling networks associated with tamoxifen resistance in breast cancer.The methyltransferase EZH2 is not required for mammary cancer development, although high EZH2 and low H3K27me3 correlate with poor prognosis of ER-positive breast cancers"Resurrection of clinical efficacy" after resistance to endocrine therapy in metastatic breast cancer.Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer.A serum protein profile predictive of the resistance to neoadjuvant chemotherapy in advanced breast cancers.Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction.Pre-treatment neutrophil to lymphocyte ratio may be a useful tool in predicting survival in early triple negative breast cancer patients
P2860
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P2860
Molecular classification of tamoxifen-resistant breast carcinomas by gene expression profiling.
description
2005 nî lūn-bûn
@nan
2005 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Molecular classification of ta ...... by gene expression profiling.
@ast
Molecular classification of ta ...... by gene expression profiling.
@en
type
label
Molecular classification of ta ...... by gene expression profiling.
@ast
Molecular classification of ta ...... by gene expression profiling.
@en
prefLabel
Molecular classification of ta ...... by gene expression profiling.
@ast
Molecular classification of ta ...... by gene expression profiling.
@en
P2093
P356
P1476
Molecular classification of ta ...... by gene expression profiling.
@en
P2093
Anieta M Sieuwerts
Els M J J Berns
Henk Portengen
Iris L van Staveren
Jan G M Klijn
John A Foekens
Kirsten Ritstier
Lambert C J Dorssers
Maaike M Dirkzwager-Kiel
Marion E Meijer-van Gelder
P304
P356
10.1200/JCO.2005.05.145
P407
P577
2005-02-01T00:00:00Z