Supervised risk predictor of breast cancer based on intrinsic subtypes - Wikidata - wikimedia - TriplyDB

Supervised risk predictor of breast cancer based on intrinsic subtypes

Supervised risk predictor of breast cancer based on intrinsic subtypes

http://www.wikidata.org/entity/Q29617404

about

Expression profiling of cancerous and normal breast tissues identifies microRNAs that are differentially expressed in serum from patients with (metastatic) breast cancer and healthy volunteers Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test Nottingham Prognostic Index in triple-negative breast cancer: a reliable prognostic tool?Prolactin-induced protein (PIP) regulates proliferation of luminal A type breast cancer cells in an estrogen-independent manner ZNF703 is a common Luminal B breast cancer oncogene that differentially regulates luminal and basal progenitors in human mammary epithelium JARID1B is a luminal lineage-driving oncogene in breast cancer Targeting androgen receptor in estrogen receptor-negative breast cancer Endocrine-therapy-resistant ESR1 variants revealed by genomic characterization of breast-cancer-derived xenografts Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes Comprehensive molecular portraits of human breast tumours The Role of Genomic Profiling in Advanced Breast Cancer: The Two Faces of Janus Relevance of Pathological Complete Response after Neoadjuvant Therapy for Breast Cancer The value of genomics in dissecting the RAS-network and in guiding therapeutics for RAS-driven cancers Characterisation of the triple negative breast cancer phenotype associated with the development of central nervous system metastases Neoadjuvant therapy for early-stage breast cancer: the clinical utility of pertuzumab Targeted therapies with companion diagnostics in the management of breast cancer: current perspectives Breast Cancer-Associated Fibroblasts: Where We Are and Where We Need to Go Breast cancer intrinsic subtype classification, clinical use and future trends MiRNAs and Other Epigenetic Changes as Biomarkers in Triple Negative Breast Cancer Identifying patients at high risk of breast cancer recurrence: strategies to improve patient outcomes Biological markers of invasive breast cancer Cancer classification in the genomic era: five contemporary problems Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential hERG1 Potassium Channels: Novel Biomarkers in Human Solid Cancers Progress in adjuvant chemotherapy for breast cancer: an overview Reverse phase protein arrays in signaling pathways: a data integration perspective Tumor-Derived Cell Lines as Molecular Models of Cancer Pharmacogenomics Visualizing multidimensional cancer genomics data Genomic profiling in luminal breast cancer Quality assurance of RNA expression profiling in clinical laboratories Genomic aberrations in the FGFR pathway: opportunities for targeted therapies in solid tumors Advances in the Molecular Analysis of Breast Cancer: Pathway Toward Personalized Medicine Genomic profiling of breast cancers Targeting SH2 domains in breast cancer Quantification of HER family receptors in breast cancer Minireview: Inflammation: an instigator of more aggressive estrogen receptor (ER) positive breast cancers Utility of prognostic genomic tests in breast cancer practice: The IMPAKT 2012 Working Group Consensus Statement Patient-derived xenograft models of breast cancer and their predictive power Biological network-driven gene selection identifies a stromal immune module as a key determinant of triple-negative breast carcinoma prognosis.Progesterone receptor modulates ERα action in breast cancer.

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P2860

Supervised risk predictor of breast cancer based on intrinsic subtypes

http://www.wikidata.org/entity/Q29617404

description

2009 nî lūn-bûn

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2009 թուականի Մարտին հրատարակուած գիտական յօդուած

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2009 թվականի մարտին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

@zh-hk

2009年論文

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2009年論文

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2009年论文

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name

Supervised risk predictor of breast cancer based on intrinsic subtypes

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Supervised risk predictor of breast cancer based on intrinsic subtypes

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type

label

Supervised risk predictor of breast cancer based on intrinsic subtypes

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Supervised risk predictor of breast cancer based on intrinsic subtypes

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prefLabel

Supervised risk predictor of breast cancer based on intrinsic subtypes

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Supervised risk predictor of breast cancer based on intrinsic subtypes

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Journal of Clinical Oncology

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Supervised risk predictor of breast cancer based on intrinsic subtypes

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Bernard PS

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Cheang MC

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Davies S

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Ellis MJ

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Fauron C

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He X

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Hu Z

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Leung S

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Mardis E

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Marron JS

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P2860

Cluster analysis and display of genome-wide expression patterns

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes

A prediction-based resampling method for estimating the number of clusters in a dataset.

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

Gene expression profiling predicts clinical outcome of breast cancer

A gene-expression signature as a predictor of survival in breast cancer

Molecular portraits of human breast tumours

Repeated observation of breast tumor subtypes in independent gene expression data sets

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

Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer

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8

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Charles M. Perou

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