A pathway-based classification of human breast cancer. - Wikidata - awgldk - TriplyDB

A pathway-based classification of human breast cancer.

A pathway-based classification of human breast cancer.

http://www.wikidata.org/entity/Q33859531

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 Non-cysteine linked MUC1 cytoplasmic dimers are required for Src recruitment and ICAM-1 binding induced cell invasion Molecular subgroups of medulloblastoma: the current consensus Breast cancer intrinsic subtype classification, clinical use and future trends Identification of aberrant pathways and network activities from high-throughput data Strategic applications of gene expression: from drug discovery/development to bedside Genomic approaches in breast cancer research Biological network-driven gene selection identifies a stromal immune module as a key determinant of triple-negative breast carcinoma prognosis.Targeting the RB-E2F pathway in breast cancer Attenuated transforming growth factor beta signaling promotes metastasis in a model of HER2 mammary carcinogenesis Genomics and bioinformatics of Parkinson's disease Peripheral blood signatures of lead exposure MicroRNA-124 enhances response to radiotherapy in human epidermal growth factor receptor 2-positive breast cancer cells by targeting signal transducer and activator of transcription 3 Reconstructing targetable pathways in lung cancer by integrating diverse omics data Reliable pre-eclampsia pathways based on multiple independent microarray data sets.A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources.Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction.A phase I trial of dasatinib, an SRC-family kinase inhibitor, in combination with paclitaxel and carboplatin in patients with advanced or recurrent ovarian cancer.Initiation of metastatic breast carcinoma by targeting of the ductal epithelium with adenovirus-cre: a novel transgenic mouse model of breast cancer.Cystine addiction of triple-negative breast cancer associated with EMT augmented death signaling Tip30 controls differentiation of murine mammary luminal progenitor to estrogen receptor-positive luminal cell through regulating FoxA1 expression Single-cell tracking with a reversing flow cytometer.HER2/Neu tumorigenesis and metastasis is regulated by E2F activator transcription factors.A genomic analysis of mouse models of breast cancer reveals molecular features of mouse models and relationships to human breast cancer.Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer.An integrated genomic approach identifies persistent tumor suppressive effects of transforming growth factor-β in human breast cancer A methodology for utilization of predictive genomic signatures in FFPE samples.Microarray-based oncogenic pathway profiling in advanced serous papillary ovarian carcinoma.Glutamine synthetase is a genetic determinant of cell type-specific glutamine independence in breast epithelia.Sequence analysis of mutations and translocations across breast cancer subtypes The E2F transcription factors regulate tumor development and metastasis in a mouse model of metastatic breast cancer SIGNATURE: a workbench for gene expression signature analysis.Single sample expression-anchored mechanisms predict survival in head and neck cancer.Predicting disease associations via biological network analysis.A critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancer Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression Identifying dysregulated pathways in cancers from pathway interaction networks.Claudin-low breast cancers: clinical, pathological, molecular and prognostic characterization Genetic heterogeneity in breast cancer: the road to personalized medicine?Validation of the prognostic gene portfolio, ClinicoMolecular Triad Classification, using an independent prospective breast cancer cohort and external patient populations.

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P2860

A pathway-based classification of human breast cancer.

http://www.wikidata.org/entity/Q33859531

description

2010 nî lūn-bûn

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2010 թուականի Մարտին հրատարակուած գիտական յօդուած

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2010 թվականի մարտին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

A pathway-based classification of human breast cancer.

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A pathway-based classification of human breast cancer.

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type

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A pathway-based classification of human breast cancer.

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A pathway-based classification of human breast cancer.

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A pathway-based classification of human breast cancer.

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A pathway-based classification of human breast cancer.

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Proceedings of the National Academy of Sciences of the United States of America

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A pathway-based classification of human breast cancer

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Anil Potti

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Bernard Mathey-Prevot

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Jong Wook Kim

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Joseph E Lucas

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Joseph R Nevins

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Matthew D Crawford

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Michael B Datto

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Quanli Wang

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William T Barry

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P2860

The Hallmarks of Cancer

Core signaling pathways in human pancreatic cancers revealed by global genomic analyses

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

An integrated genomic analysis of human glioblastoma multiforme

Integrated analysis of homozygous deletions, focal amplifications, and sequence alterations in breast and colorectal cancers

Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

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

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

The consensus coding sequences of human breast and colorectal cancers

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