2024
GP100 expression is variable in intensity in melanoma
Mann J, Hasson N, Su D, Adeniran A, Smalley K, Djureinovic D, Jilaveanu L, Schoenfeld D, Kluger H. GP100 expression is variable in intensity in melanoma. Cancer Immunology, Immunotherapy 2024, 73: 191. PMID: 39105816, PMCID: PMC11303354, DOI: 10.1007/s00262-024-03776-5.Peer-Reviewed Original ResearchConceptsGp100 expressionCutaneous melanomaTreatment of cutaneous melanomaAdvanced cutaneous melanomaT-cell engagersImprove patient selectionMetastatic melanomaUveal melanomaMetastatic samplesPatient selectionClinical trialsMelanomaQuantitative immunofluorescence methodGp100Improve outcomesImmunofluorescence methodTherapeutic intentDrugCellular productsExpressionTebentafuspImmunohistochemistry
2018
Multispectral imaging for quantitative and compartment‐specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients
Mezheyeuski A, Bergsland C, Backman M, Djureinovic D, Sjöblom T, Bruun J, Micke P. Multispectral imaging for quantitative and compartment‐specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients. The Journal Of Pathology 2018, 244: 421-431. PMID: 29282718, DOI: 10.1002/path.5026.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorCarcinoma, Non-Small-Cell LungClinical Decision-MakingDeep LearningFluorescent Antibody TechniqueHumansImage Interpretation, Computer-AssistedLung NeoplasmsLymphocyte SubsetsLymphocytes, Tumor-InfiltratingMicroscopy, FluorescencePredictive Value of TestsPrognosisReproducibility of ResultsSequence Analysis, RNATissue Array AnalysisTumor MicroenvironmentConceptsImmune infiltratesImmune markersImmune cellsImmunohistochemical methodsEra of immunotherapyCell lung cancerImmune cell infiltrationLymphocyte subclassesNSCLC casesCell infiltrationLung cancerPatient prognosisImmune responseTissue microarrayCancer tissuesStromal compartmentClinical decisionFurther subpopulationSemiquantitative assessmentConventional immunohistochemistryImmunohistochemistryClinical biopsiesTissue sectionsFoxp3CD4
2013
A systematic analysis of commonly used antibodies in cancer diagnostics
Gremel G, Bergman J, Djureinovic D, Edqvist P, Maindad V, Bharambe B, Khan W, Navani S, Elebro J, Jirström K, Hellberg D, Uhlén M, Micke P, Pontén F. A systematic analysis of commonly used antibodies in cancer diagnostics. Histopathology 2013, 64: 293-305. PMID: 24330150, DOI: 10.1111/his.12255.Peer-Reviewed Original ResearchConceptsDifferential diagnosticsCancer typesBenefit of immunohistochemistryTissue microarray cohortProstate-specific antigenEvidence-based dataCombination of antibodiesNumber of antibodiesMicroarray cohortMetastatic lesionsPrimary tumorClinical ImmunohistochemistryNovel markerImmunohistochemistryTumor samplesAntibodiesTumorsDiagnostic powerConsecutive sectionsDiagnostic antibodiesDifferent organsPresent studyPivotal roleCancer diagnosticsOptimal use