Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. - Wikidata - awgldk - TriplyDB

Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

http://www.wikidata.org/entity/Q33831109

about

A precisely regulated gene expression cassette potently modulates metastasis and survival in multiple solid cancers A population-based gene signature is predictive of breast cancer survival and chemoresponse A breast cancer prognostic signature predicts clinical outcomes in multiple tumor types Store-independent activation of Orai1 by SPCA2 in mammary tumors WNT/TCF signaling through LEF1 and HOXB9 mediates lung adenocarcinoma metastasis Transforming growth factor beta engages TACE and ErbB3 to activate phosphatidylinositol-3 kinase/Akt in ErbB2-overexpressing breast cancer and desensitizes cells to trastuzumab Stabilization of snail by NF-kappaB is required for inflammation-induced cell migration and invasion RAC3 is a pro-migratory co-activator of ERα Serum response factor binding sites differ in three human cell types Breast cancer in the personal genomics era Gene expression profiling identifies activated growth factor signaling in poor prognosis (Luminal-B) estrogen receptor positive breast cancer Tumor-endothelial interaction links the CD44(+)/CD24(-) phenotype with poor prognosis in early-stage breast cancer Determination of stromal signatures in breast carcinoma.Differential gene expression in anatomical compartments of the human eye.Gene expression programs in response to hypoxia: cell type specificity and prognostic significance in human cancers Breast cancer intrinsic subtype classification, clinical use and future trends Identifying patients at high risk of breast cancer recurrence: strategies to improve patient outcomes Targeting Breast Cancer Metastasis Transcriptome and proteome research in veterinary science: what is possible and what questions can be asked?The microenvironment in breast cancer progression: biology and implications for treatment Why the stroma matters in breast cancer: insights into breast cancer patient outcomes through the examination of stromal biomarkers A mouse stromal response to tumor invasion predicts prostate and breast cancer patient survival Cells activated for wound repair have the potential to direct collective invasion of an epithelium.Met kinetic signature derived from the response to HGF/SF in a cellular model predicts breast cancer patient survival Carcinoma-associated fibroblasts: orchestrating the composition of malignancy Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals Proteogenomic characterization of human colon and rectal cancer TGFbeta primes breast tumors for lung metastasis seeding through angiopoietin-like 4 Unraveling the microenvironmental influences on the normal mammary gland and breast cancer Small molecule antagonists of the Wnt/β-catenin signaling pathway target breast tumor-initiating cells in a Her2/Neu mouse model of breast cancer Invasive breast cancer: stratification of histological grade by gene-based assays: a still relevant example from an older data set A prognostic gene expression profile that predicts circulating tumor cell presence in breast cancer patients A simple but highly effective approach to evaluate the prognostic performance of gene expression signatures Predictive and prognostic molecular markers for cancer medicine Clinical and multiple gene expression variables in survival analysis of breast cancer: Analysis with the hypertabastic survival model Why don't we get more cancer? A proposed role of the microenvironment in restraining cancer progression Breast cancer molecular signatures as determined by SAGE: correlation with lymph node status.Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.Translating tumor biology into personalized treatment planning: analytical performance characteristics of the Oncotype DX Colon Cancer Assay Splitting random forest (SRF) for determining compact sets of genes that distinguish between cancer subtypes.

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Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

http://www.wikidata.org/entity/Q33831109

description

2005 nî lūn-bûn

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2005 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2005年の論文

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2005年論文

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2005年論文

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Robustness, scalability, and i ...... icting breast cancer survival.

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

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Robustness, scalability, and i ...... icting breast cancer survival.

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Dimitry S A Nuyten

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Harry Bartelink

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Hongyue Dai

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Howard Y Chang

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Julie B Sneddon

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Laura J van't Veer

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Yudong D He

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P2860

Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds

Cluster analysis and display of genome-wide expression patterns

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

Gene expression profiling predicts clinical outcome of breast cancer

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

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Molecular portraits of human breast tumours

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

A molecular signature of metastasis in primary solid tumors

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Robert Tibshirani

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Patrick O. Brown

Therese Sørlie

Matt van de Rijn

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