Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
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Validation of proposed prostate cancer biomarkers with gene expression data: a long road to travelExpression differences between African American and Caucasian prostate cancer tissue reveals that stroma is the site of aggressive changesPhysioSpace: relating gene expression experiments from heterogeneous sources using shared physiological processesTranscriptional signatures of Ral GTPase are associated with aggressive clinicopathologic characteristics in human cancer.Loss of p63 and its microRNA-205 target results in enhanced cell migration and metastasis in prostate cancerConstructing Bayesian networks by integrating gene expression and copy number data identifies NLGN4Y as a novel regulator of prostate cancer progression.Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancerEvaluation of ERG responsive proteome in prostate cancerCopy number alteration burden predicts prostate cancer relapseGenome-wide expression assay comparison across frozen and fixed postmortem brain tissue samples.Molecular profiling of indolent human prostate cancer: tackling technical challenges to achieve high-fidelity genome-wide data.SPDEF inhibits prostate carcinogenesis by disrupting a positive feedback loop in regulation of the Foxm1 oncogene.Algebraic comparison of partial lists in bioinformaticsDetecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study.Discovery of non-ETS gene fusions in human prostate cancer using next-generation RNA sequencing.The Thoc1 ribonucleoprotein and prostate cancer progression.Curation-free biomodules mechanisms in prostate cancer predict recurrent disease.mRNA expression signature of Gleason grade predicts lethal prostate cancerThe biology of castration-resistant prostate cancerProtein-coding and microRNA biomarkers of recurrence of prostate cancer following radical prostatectomyCoordinate microRNA-mediated regulation of protein complexes in prostate cancer.Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence.Gene signatures ESC, MYC and ERG-fusion are early markers of a potentially dangerous subtype of prostate cancer.Semi-supervised adaptive-height snipping of the hierarchical clustering tree.Profiling prostate cancer.Molecular classification of prostate cancer using curated expression signaturesMetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis.Computational Reconstruction of NFκB Pathway Interaction Mechanisms during Prostate Cancer.Novel Gene Expression Signature Predictive of Clinical Recurrence After Radical Prostatectomy in Early Stage Prostate Cancer Patients.Molecular differences in transition zone and peripheral zone prostate tumors.Predicting Drug Response in Human Prostate Cancer from Preclinical Analysis of In Vivo Mouse Models.Measuring PI3K Activation: Clinicopathologic, Immunohistochemical, and RNA Expression Analysis in Prostate CancerMicroRNA-106b-25 cluster expression is associated with early disease recurrence and targets caspase-7 and focal adhesion in human prostate cancer.Integrative analysis of breast cancer reveals prognostic haematopoietic activity and patient-specific immune response profilesRoles of Distal and Genic Methylation in the Development of Prostate Tumorigenesis Revealed by Genome-wide DNA Methylation AnalysisSeasonal variation in expression of markers in the vitamin D pathway in prostate tissue.Development and validation of a 32-gene prognostic index for prostate cancer progression.Evaluating a 4-marker signature of aggressive prostate cancer using time-dependent AUC.The TMPRSS2:ERG rearrangement, ERG expression, and prostate cancer outcomes: a cohort study and meta-analysisMolecular circuit involving KLK4 integrates androgen and mTOR signaling in prostate cancer.
P2860
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P2860
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@ast
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@en
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@nl
type
label
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@ast
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@en
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@nl
prefLabel
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@ast
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@en
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@nl
P2093
P2860
P50
P356
P1433
P1476
Molecular sampling of prostate cancer: a dilemma for predicting disease progression.
@en
P2093
Eberhard Varenhorst
Jan-Erik Johansson
Ove Andrén
Sunita R Setlur
Sven Perner
Swen-Olof Andersson
Todd R Golub
Yudi Pawitan
Yujin Hoshida
P2860
P2888
P356
10.1186/1755-8794-3-8
P50
P577
2010-03-16T00:00:00Z
P5875
P6179
1029841285