Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?
about
Keeping up with the next generation: massively parallel sequencing in clinical diagnosticsPerspectives on systems biology applications in diabetic kidney diseaseiPSC-derived neurons as a higher-throughput readout for autism: promises and pitfallsQuality assurance of RNA expression profiling in clinical laboratoriesThe quest for an effective and safe personalized cell therapy using epigenetic toolsA novel network model identified a 13-gene lung cancer prognostic signatureEpidermal growth factor receptor tyrosine kinase defines critical prognostic genes of stage I lung adenocarcinomaNetwork-based identification of biomarkers coexpressed with multiple pathwaysUnraveling the microenvironmental influences on the normal mammary gland and breast cancerIntegrated analysis of transcriptome in cancer patient-derived xenograftsDifferential Proteome Analysis Identifies TGF-β-Related Pro-Metastatic Proteins in a 4T1 Murine Breast Cancer ModelSelective genomic copy number imbalances and probability of recurrence in early-stage breast cancerPost-genomic clinical trials: the perspective of ACGTDeveloping a European grid infrastructure for cancer research: vision, architecture and servicesPredictive and prognostic molecular markers for cancer medicineClinical and multiple gene expression variables in survival analysis of breast cancer: Analysis with the hypertabastic survival modelRare Earth Nanoprobes for Functional Biomolecular Imaging and Theranostics.Network-based inference framework for identifying cancer genes from gene expression dataGlobal microRNA expression profiling identifies MiR-210 associated with tumor proliferation, invasion and poor clinical outcome in breast cancerEvaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtypingAssessing the clinical utility of genomic expression data across human cancers.Asf1b, the necessary Asf1 isoform for proliferation, is predictive of outcome in breast cancer.SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stabilityComparison of prognostic gene expression signatures for breast cancerIdentification of importin 8 (IPO8) as the most accurate reference gene for the clinicopathological analysis of lung specimensGene expression variation between distinct areas of breast cancer measured from paraffin-embedded tissue cores.Ovarian cancer: a clinical challenge that needs some basic answers.Gene set-based module discovery in the breast cancer transcriptome.The "North German Tumor Bank of Colorectal Cancer": status report after the first 2 years of support by the German Cancer Aid Foundation.The Gene expression Grade Index: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial.A systems biology-based gene expression classifier of glioblastoma predicts survival with solid tumors.Improvement of the clinical applicability of the Genomic Grade Index through a qRT-PCR test performed on frozen and formalin-fixed paraffin-embedded tissues.3'-end sequencing for expression quantification (3SEQ) from archival tumor samples.Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling.Important Factors Affecting Adjuvant Treatment Decision in Stage IA Breast Cancer Patients in Turkey.Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue.Merging transcriptomics and metabolomics--advances in breast cancer profiling.Identification of Y-box binding protein 1 as a core regulator of MEK/ERK pathway-dependent gene signatures in colorectal cancer cells
P2860
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P2860
Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Taking gene-expression profili ...... come relevant to patient care?
@en
Taking gene-expression profili ...... come relevant to patient care?
@nl
type
label
Taking gene-expression profili ...... come relevant to patient care?
@en
Taking gene-expression profili ...... come relevant to patient care?
@nl
prefLabel
Taking gene-expression profili ...... come relevant to patient care?
@en
Taking gene-expression profili ...... come relevant to patient care?
@nl
P2860
P356
P1476
Taking gene-expression profili ...... come relevant to patient care?
@en
P2093
Christos Sotiriou
Martine J Piccart
P2860
P2888
P304
P356
10.1038/NRC2173
P407
P577
2007-07-01T00:00:00Z