2014
Automated Objective Determination of Percentage of Malignant Nuclei for Mutation Testing
Viray H, Coulter M, Li K, Lane K, Madan A, Mitchell K, Schalper K, Hoyt C, Rimm DL. Automated Objective Determination of Percentage of Malignant Nuclei for Mutation Testing. Applied Immunohistochemistry & Molecular Morphology 2014, 22: 363-371. PMID: 24162261, PMCID: PMC3999345, DOI: 10.1097/pai.0b013e318299a1f6.Peer-Reviewed Original ResearchConceptsCriterion standardMalignant cellsMalignant nucleiCompanion diagnostic testsTumor cell percentageMutation testingEosin-stained tissuesCell percentageInForm softwareHistologic specimensTumor tissueColon adenocarcinomaTumor cellsDiagnostic testsPotential future toolDNA mutation testingTissue sectionsContinuous variablesFurther validationPathologist estimationAnalytic sensitivityVariant resultsDNA mutationsBenign nucleiTissue
2006
Classification of Breast Cancer Using Genetic Algorithms and Tissue Microarrays
Dolled-Filhart M, Rydén L, Cregger M, Jirström K, Harigopal M, Camp RL, Rimm DL. Classification of Breast Cancer Using Genetic Algorithms and Tissue Microarrays. Clinical Cancer Research 2006, 12: 6459-6468. PMID: 17085660, DOI: 10.1158/1078-0432.ccr-06-1383.Peer-Reviewed Original ResearchConceptsBreast cancerPatient outcomesTissue microarraySubset of patientsBreast cancer patientsTissue microarray platformInternal validation setRoutine pathology laboratoriesCancer patientsEstrogen receptorTissue biomarkersIndependent cohortTumor subtypesPredictive valueAcid-base analysisPathology laboratoryRNA expression studiesCancerTissue sectionsPatientsCohortOutcomesFurther validationObjective quantitative analysisBiomarker discovery