Hierarchical clustering analysis of tissue microarray immunostaining data identifies prognostically significant groups of breast carcinoma.
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IL-6 triggers malignant features in mammospheres from human ductal breast carcinoma and normal mammary glandDevelopment of multigene expression signature maps at the protein level from digitized immunohistochemistry slidesA systems approach to clinical oncology: focus on breast cancer.Proteomics of breast cancer: principles and potential clinical applications.Use of immunohistochemical markers can refine prognosis in triple negative breast cancer.The Stanford Tissue Microarray DatabaseSurface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.Meta-analysis confirms BCL2 is an independent prognostic marker in breast cancer.Cancer symptom clusters: old concept but new data.Hierarchical clustering analysis of pathologic and molecular data identifies prognostically and biologically distinct groups of colorectal carcinomas.Unsupervised clustering of wildlife necropsy data for syndromic surveillance.Clinical proteomics of breast cancerType I gamma phosphatidylinositol phosphate kinase modulates invasion and proliferation and its expression correlates with poor prognosis in breast cancer.AlphaB-crystallin is a novel oncoprotein that predicts poor clinical outcome in breast cancer.Is the small heat shock protein alphaB-crystallin an oncogene?Co-expression of MET and CD47 is a novel prognosticator for survival of luminal breast cancer patientsMolecular subtyping of DCIS: heterogeneity of breast cancer reflected in pre-invasive disease.Multispectral imaging and pathology: seeing and doing more.Mutational profiling of familial male breast cancers reveals similarities with luminal A female breast cancer with rare TP53 mutations.Subtyping of triple-negative breast cancer: implications for therapyImmunoprofiles of 11 biomarkers using tissue microarrays identify prognostic subgroups in colorectal cancer.The changing role of pathology in breast cancer diagnosis and treatment.Immunohistochemical validation of overexpressed genes identified by global expression microarrays in adrenocortical carcinoma reveals potential predictive and prognostic biomarkersThe significance of HER-2/neu receptor positivity and immunophenotype in ductal carcinoma in situ with early invasive disease.Dissecting cooperative communications in a protein with a high-throughput single-molecule scalpel.Basal-like phenotype is not associated with patient survival in estrogen-receptor-negative breast cancers.Vimentin and laminin expression is associated with basal-like phenotype in both sporadic and BRCA1-associated breast carcinomasTissue microarrays: applications in genomic research.Elevated expression of DecR1 impairs ErbB2/Neu-induced mammary tumor development.Immunoprofile from tissue microarrays to stratify familial breast cancer patientsExpression of small breast epithelial mucin (SBEM) protein in tissue microarrays (TMAs) of primary invasive breast cancersWhat brown cannot do for you.Immunohistochemical categorisation of ductal carcinoma in situ of the breast.Can clinically relevant prognostic subsets of breast cancer patients with four or more involved axillary lymph nodes be identified through immunohistochemical biomarkers? A tissue microarray feasibility studyCharacterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer.Astronomical algorithms for automated analysis of tissue protein expression in breast cancer.Carbonic anhydrase IX and response to postmastectomy radiotherapy in high-risk breast cancer: a subgroup analysis of the DBCG82 b and c trials.Multiple biomarkers in molecular oncology. II. Molecular diagnostics applications in breast cancer management.The fibromatosis signature defines a robust stromal response in breast carcinoma.Profiling phospho-signaling networks in breast cancer using reverse-phase protein arrays
P2860
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P2860
Hierarchical clustering analysis of tissue microarray immunostaining data identifies prognostically significant groups of breast carcinoma.
description
2004 nî lūn-bûn
@nan
2004 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Hierarchical clustering analys ...... nt groups of breast carcinoma.
@ast
Hierarchical clustering analys ...... nt groups of breast carcinoma.
@en
type
label
Hierarchical clustering analys ...... nt groups of breast carcinoma.
@ast
Hierarchical clustering analys ...... nt groups of breast carcinoma.
@en
prefLabel
Hierarchical clustering analys ...... nt groups of breast carcinoma.
@ast
Hierarchical clustering analys ...... nt groups of breast carcinoma.
@en
P2093
P1476
Hierarchical clustering analys ...... nt groups of breast carcinoma.
@en
P2093
C Blake Gilks
Chris Bajdik
David G Huntsman
Erika Yorida
Malcolm Hayes
Michael Peacock
Nikita A Makretsov
Sandra E Dunn
Torsten O Nielsen
P304
P356
10.1158/1078-0432.CCR-04-0429
P407
P433
P577
2004-09-01T00:00:00Z