2011
Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma
Tolles J, Bai Y, Baquero M, Harris LN, Rimm DL, Molinaro AM. Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma. Breast Cancer Research 2011, 13: r51. PMID: 21592345, PMCID: PMC3218938, DOI: 10.1186/bcr2882.Peer-Reviewed Original ResearchConceptsWhole tissue sectionsBreast carcinomaEstrogen receptorBiomarker expressionTumor biomarker expressionAmount of tumorTissue sectionsEvidence-based standardsHeterogeneous markersTherapeutic responseHER-2Optimal tumorBreast biopsyBreast tumorsClinical implicationsMAP-tauQuantitative immunofluorescenceClinical useLevel of expressionCarcinomaImmunostaining assaysBiomarkersTumorsTissue samplesBiomarker heterogeneity
2003
Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors
Ocal I, Dolled‐Filhart M, D'Aquila TG, Camp RL, Rimm DL. Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors. Cancer 2003, 97: 1841-1848. PMID: 12673709, DOI: 10.1002/cncr.11335.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaBiomarkers, TumorBreast NeoplasmsCohort StudiesErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHepatocyte Growth FactorHumansImmunoenzyme TechniquesKi-67 AntigenLymph NodesLymphatic MetastasisNeoplasm StagingPrognosisProto-Oncogene Proteins c-metReceptor, ErbB-2Receptors, EstrogenReceptors, Fibroblast Growth FactorReceptors, ProgesteroneSurvival RateConceptsLymph node negative breast carcinomaEpidermal growth factor receptorNode-negative breast carcinomaNegative breast carcinomaHER-2Breast carcinomaSet of patientsReceptor tyrosine kinasesGrowth factor receptorReceptor statusTumor sizeWorse outcomesEpidermal growth factor family receptorsProgesterone receptor expression levelsTissue microarray-based studyFamily receptorsHormone receptor statusFactor receptorGroup of patientsIndependent predictive valueExpression levelsReceptor expression levelsUnique staining patternStudy cohortTissue microarray technology