Defining aggressive prostate cancer using a 12-gene model. - Wikidata - awgldk - TriplyDB

Defining aggressive prostate cancer using a 12-gene model.

Defining aggressive prostate cancer using a 12-gene model.

http://www.wikidata.org/entity/Q35060298

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LNCaP Atlas: gene expression associated with in vivo progression to castration-recurrent prostate cancer Evaluation of protein biomarkers of prostate cancer aggressiveness Neoplasia: Where We Have Been and Where We Are Going An accurate prostate cancer prognosticator using a seven-gene signature plus Gleason score and taking cell type heterogeneity into account Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy Development of multigene expression signature maps at the protein level from digitized immunohistochemistry slides A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays.Neoplasia: the second decade.Constructing Bayesian networks by integrating gene expression and copy number data identifies NLGN4Y as a novel regulator of prostate cancer progression.Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process.Gene panel model predictive of outcome in men at high-risk of systemic progression and death from prostate cancer after radical retropubic prostatectomy.Identification and validation of potential new biomarkers for prostate cancer diagnosis and prognosis using 2D-DIGE and MS.Prognostic value of discs large homolog 7 transcript levels in prostate cancer.Role of STRAP in regulating GSK3β function and Notch3 stabilization.Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence.Dysregulation of the vascular endothelial growth factor and semaphorin ligand-receptor families in prostate cancer metastasis.Expression profiling of uterine leiomyomata cytogenetic subgroups reveals distinct signatures in matched myometrium: transcriptional profilingof the t(12;14) and evidence in support of predisposing genetic heterogeneity.RNA biomarkers to facilitate the identification of aggressive prostate cancer Detection of TMPRSS2-ERG translocations in human prostate cancer by expression profiling using GeneChip Human Exon 1.0 ST arrays Molecular and cytogenetic characterization of plexiform leiomyomata provide further evidence for genetic heterogeneity underlying uterine fibroids.Targeted therapy of cancer: new roles for pathologists--prostate cancer.Aberrant cytoplasmic expression of p63 and prostate cancer mortality.DNA methylome changes by estradiol benzoate and bisphenol A links early-life environmental exposures to prostate cancer risk Tumor protein D52 represents a negative regulator of ATM protein levels.Altered gene products involved in the malignant reprogramming of cancer stem/progenitor cells and multitargeted therapies.Discovery of prostate cancer biomarkers by microarray gene expression profiling.Diagnostic and prognostic molecular biomarkers for prostate cancer.The diverse heterogeneity of molecular alterations in prostate cancer identified through next-generation sequencing The genomic landscape of prostate cancer Clinically relevant genetic characterization of prostate tumors: how close are we to the goal?Nuclear MTA1 overexpression is associated with aggressive prostate cancer, recurrence and metastasis in African Americans.The significance of dynamin 2 expression for prostate cancer progression, prognostication, and therapeutic targeting.Gene panel model predictive of outcome in patients with prostate cancer.Expression of androgen receptor is negatively regulated by p53.Expression profiling of prostate cancer tissue delineates genes associated with recurrence after prostatectomy.The identification of trans-associations between prostate cancer GWAS SNPs and RNA expression differences in tumor-adjacent stroma.Testing a multigene signature of prostate cancer death in the Swedish Watchful Waiting Cohort.Modeling intra-tumor protein expression heterogeneity in tissue microarray experiments Neoplasia: An Anniversary of Progress.Development and Validation of a 28-gene Hypoxia-related Prognostic Signature for Localized Prostate Cancer.

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Defining aggressive prostate cancer using a 12-gene model.

http://www.wikidata.org/entity/Q35060298

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Defining aggressive prostate cancer using a 12-gene model.

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Defining aggressive prostate cancer using a 12-gene model.

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Jeffery Tang

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Jonathan C Aster

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Le He

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Matthias D Hofer

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Robert Kim

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Tarek A Bismar

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P2860

p63 is a prostate basal cell marker and is required for prostate development

Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Gene expression profiling predicts clinical outcome of prostate cancer

Cluster analysis and display of genome-wide expression patterns

alpha-Methylacyl-CoA racemase: expression levels of this novel cancer biomarker depend on tumor differentiation

EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells

Quantitative determination of expression of the prostate cancer protein alpha-methylacyl-CoA racemase using automated quantitative analysis (AQUA): a novel paradigm for automated and continuous biomarker measurements

Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes

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

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10.1593/NEO.05664

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1

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8

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Francesca Demichelis

Sooryanarayana Varambally

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