2005
Quantitative insitu cancer proteomics: molecular pathology comes of age with automated tissue microarray analysis
Dolled-Filhart MP, Rimm DL, Stroobant P. Quantitative insitu cancer proteomics: molecular pathology comes of age with automated tissue microarray analysis. Personalized Medicine 2005, 2: 291-300. PMID: 29788575, DOI: 10.2217/17410541.2.4.291.Peer-Reviewed Original ResearchProtein expression analysisExpression analysisProtein expressionPotential future therapeutic developmentsHigh-throughput methodAutomated Quantitative AnalysisMicroarray analysisTarget discoverySitu protein expressionTissue microarray analysisFluorescence microscopyFuture therapeutic developmentMicroarrayTissue microarrayNew targetsDynamic rangeDiscovery toolMolecular pathologyTherapeutic developmentUnparalleled opportunityUnique roleMicroscope slidesTumor samplesExpressionNovel prognostic marker
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