2005
Coexpression of β1,6-N-Acetylglucosaminyltransferase V Glycoprotein Substrates Defines Aggressive Breast Cancers with Poor Outcome
Siddiqui SF, Pawelek J, Handerson T, Lin CY, Dickson RB, Rimm DL, Camp RL. Coexpression of β1,6-N-Acetylglucosaminyltransferase V Glycoprotein Substrates Defines Aggressive Breast Cancers with Poor Outcome. Cancer Epidemiology Biomarkers & Prevention 2005, 14: 2517-2523. PMID: 16284372, DOI: 10.1158/1055-9965.epi-05-0464.Peer-Reviewed Original ResearchConceptsSubstrate proteinsEpidermal growth factor receptorGrowth factor receptorLAMP-1Glycoprotein substratesFactor receptorComplex oligosaccharide side chainsN-cadherin expressionTumor progressionOligosaccharide side chainsBeta1 integrin expressionGnT-VN-cadherinUnsupervised hierarchical clusteringN-acetylglucosaminyltransferaseMatriptaseDistinct clustersProteinProtein expressionTumor metastasisExpressionHigh expressionAggressive breast cancerLow expressionSide chains
2003
Tissue microarray analysis of hepatocyte growth factor/Met pathway components reveals a role for Met, matriptase, and hepatocyte growth factor activator inhibitor 1 in the progression of node-negative breast cancer.
Kang JY, Dolled-Filhart M, Ocal IT, Singh B, Lin CY, Dickson RB, Rimm DL, Camp RL. Tissue microarray analysis of hepatocyte growth factor/Met pathway components reveals a role for Met, matriptase, and hepatocyte growth factor activator inhibitor 1 in the progression of node-negative breast cancer. Cancer Research 2003, 63: 1101-5. PMID: 12615728.Peer-Reviewed Original ResearchConceptsHepatocyte growth factor activator inhibitor-1Breast carcinomaSeries of proteasesNode-negative breast cancerHigh-level expressionNode-negative breast carcinomaHGF/MET pathwayIndependent prognostic valueBreast cancer progressionPoor patient outcomesTissue microarray analysisPathway componentsMicroarray analysisExtracellular domainActivator inhibitor-1Expression of HGFOverexpression of METMet receptorHepatocyte growth factorCancer progressionMatriptasePrognostic valueBreast markersPatient followPatient outcomes