Melanoma prognostic model using tissue microarrays and genetic algorithms. - Wikidata - awgldk - TriplyDB

Melanoma prognostic model using tissue microarrays and genetic algorithms.

Melanoma prognostic model using tissue microarrays and genetic algorithms.

http://www.wikidata.org/entity/Q37474252

about

Proinvasion metastasis drivers in early-stage melanoma are oncogenes.A seven-marker signature and clinical outcome in malignant melanoma: a large-scale tissue-microarray study with two independent patient cohorts Clinical and biological determinants of melanoma progression: Should all be considered for clinical management?TMAinspiration: Decode Interdependencies in Multifactorial Tissue Microarray Data.A role for ATF2 in regulating MITF and melanoma development.Diagnostic and prognostic biomarkers in melanoma.The specificity and patterns of staining in human cells and tissues of p16INK4a antibodies demonstrate variant antigen binding.A patient-centered methodology that improves the accuracy of prognostic predictions in cancer.Glucose and inflammation control islet vascular density and beta-cell function in NOD mice: control of islet vasculature and vascular endothelial growth factor by glucose.Inhibition of melanoma growth by small molecules that promote the mitochondrial localization of ATF2 Transcriptome profiling identifies HMGA2 as a biomarker of melanoma progression and prognosis.A texture based pattern recognition approach to distinguish melanoma from non-melanoma cells in histopathological tissue microarray sections.Targeted BRAF inhibition impacts survival in melanoma patients with high levels of Wnt/β-catenin signaling.The Role of Proteomics in the Diagnosis and Treatment of Women's Cancers: Current Trends in Technology and Future Opportunities A prognostic signature of defective p53-dependent G1 checkpoint function in melanoma cell lines In situ measurement of miR-205 in malignant melanoma tissue supports its role as a tumor suppressor microRNA.Revisiting determinants of prognosis in cutaneous melanoma.Loss of tumor suppressors KAI1 and p27 identifies a unique subgroup of primary melanoma patients with poor prognosis.Inhibition of renalase expression and signaling has antitumor activity in pancreatic cancer.Renalase Expression by Melanoma and Tumor-Associated Macrophages Promotes Tumor Growth through a STAT3-Mediated Mechanism Protein kinase PKN1 represses Wnt/β-catenin signaling in human melanoma cells.MicroRNA-146a suppresses metastatic activity in brain metastasis.Construction and analysis of multiparameter prognostic models for melanoma outcome Development of DNA damage response signaling biomarkers using automated, quantitative image analysis.Marginal and joint distributions of S100, HMB-45, and Melan-A across a large series of cutaneous melanomas.Melanoma update: diagnostic and prognostic factors that can effectively shape and personalize management.Prognostic tissue markers in melanoma.Driving transcriptional regulators in melanoma metastasis.Pleiotropic function of SRY-related HMG box transcription factor 4 in regulation of tumorigenesis.Recent advances in cutaneous melanoma: towards a molecular model and targeted treatment.Tissue microarrays and quantitative tissue-based image analysis as a tool for oncology biomarker and diagnostic development.Melanoma metastasis: new concepts and evolving paradigms.Molecular markers in melanoma.Melanoma biomolecules: independently identified but functionally intertwined.Tissue prognostic biomarkers in primary cutaneous melanoma.In melanoma, beta-catenin is a suppressor of invasion.WLS inhibits melanoma cell proliferation through the β-catenin signalling pathway and induces spontaneous metastasis.Wnt/β-catenin signaling and AXIN1 regulate apoptosis triggered by inhibition of the mutant kinase BRAFV600E in human melanoma.Prognostic and predictive biomarkers in melanoma: an update.Inhibition of melanoma cell proliferation by targeting Wnt/β-catenin pathway through Sox4 RNA interference.

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Melanoma prognostic model using tissue microarrays and genetic algorithms.

http://www.wikidata.org/entity/Q37474252

description

2009 nî lūn-bûn

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2009年の論文

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年学术文章

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2009年學術文章

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2009年學術文章

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2009年學術文章

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name

Melanoma prognostic model using tissue microarrays and genetic algorithms.

@en

Melanoma prognostic model using tissue microarrays and genetic algorithms.

@nl

type

label

Melanoma prognostic model using tissue microarrays and genetic algorithms.

@en

Melanoma prognostic model using tissue microarrays and genetic algorithms.

@nl

prefLabel

Melanoma prognostic model using tissue microarrays and genetic algorithms.

@en

Melanoma prognostic model using tissue microarrays and genetic algorithms.

@nl

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JCO.2009.22.8239

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Journal of Clinical Oncology

P1476

Melanoma prognostic model using tissue microarrays and genetic algorithms.

@en

P2093

Aaron J Berger

http://www.w3.org/2001/XMLSchema#string

Annette M Molinaro

http://www.w3.org/2001/XMLSchema#string

Antonio Subtil

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Bonnie E Gould Rothberg

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David L Rimm

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Harriet M Kluger

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Michael O Krauthammer

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Robert L Camp

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Stephan Ariyan

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William R Bradley

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P2860

The Hallmarks of Cancer

Mutual regulation of c-Jun and ATF2 by transcriptional activation and subcellular localization

Cancer statistics, 2008

CDK inhibitors: positive and negative regulators of G1-phase progression

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

Gene Expression Profiling of Primary Cutaneous Melanoma and Clinical Outcome

Tissue microarrays for high-throughput molecular profiling of tumor specimens

Molecular classification of cutaneous malignant melanoma by gene expression profiling

Genetic algorithms applied to multi-class prediction for the analysis of gene expression data.

Gene expression signatures for tumor progression, tumor subtype, and tumor thickness in laser-microdissected melanoma tissues.

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5772-5780

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19884546

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2792999

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