2023
Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases
Chatziioannou E, Roßner J, Aung T, Rimm D, Niessner H, Keim U, Serna-Higuita L, Bonzheim I, Cuellar L, Westphal D, Steininger J, Meier F, Pop O, Forchhammer S, Flatz L, Eigentler T, Garbe C, Röcken M, Amaral T, Sinnberg T. Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases. EBioMedicine 2023, 93: 104644. PMID: 37295047, PMCID: PMC10363450, DOI: 10.1016/j.ebiom.2023.104644.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesMultiple Cox regressionMelanoma-specific survivalCox regressionTumor thicknessCutaneous melanomaPrimary melanomaAssessment of TILsPD-1 checkpoint inhibitionSignificant unfavourable prognostic factorLonger progression-free survivalDistant metastasis-free survivalSimple Cox regressionUnfavourable survival outcomeFirst-line therapyProgression-free survivalUnfavourable prognostic factorCutaneous melanoma patientsMetastasis-free survivalPresence of ulcerationPrimary cutaneous melanomaCox regression modelPrimary melanoma samplesPrimary tissuesOverall survival
2013
Marginal and Joint Distributions of S100, HMB-45, and Melan-A Across a Large Series of Cutaneous Melanomas
Viray H, Bradley WR, Schalper KA, Rimm DL, Rothberg BE. Marginal and Joint Distributions of S100, HMB-45, and Melan-A Across a Large Series of Cutaneous Melanomas. Archives Of Pathology & Laboratory Medicine 2013, 137: 1063-73. PMID: 23899062, PMCID: PMC3963468, DOI: 10.5858/arpa.2012-0284-oa.Peer-Reviewed Original ResearchConceptsHMB-45Primary tumorCutaneous melanomaLarge seriesMelanoma-specific survivalMelanoma primary tumorsGroup of antigensLarge tissue microarrayClinicopathologic covariatesClinicopathologic criteriaPrognostic relevanceHistopathologic profileClinicopathologic correlatesAntigen expressionClinicopathologic parametersMelanoma markersTissue microarrayPositive expressionSurvival analysisMelanomaMelanS100Melanoma cellsBivariate associationsSignificant differences
2009
Tissue Biomarkers for Prognosis in Cutaneous Melanoma: A Systematic Review and Meta-analysis
Rothberg BE, Bracken MB, Rimm DL. Tissue Biomarkers for Prognosis in Cutaneous Melanoma: A Systematic Review and Meta-analysis. Journal Of The National Cancer Institute 2009, 101: 452-474. PMID: 19318635, PMCID: PMC2720709, DOI: 10.1093/jnci/djp038.Peer-Reviewed Original ResearchConceptsCohort studyCutaneous melanomaMelanoma cell adhesion moleculeSystematic reviewEarly-stage cutaneous melanomaPotential prognostic valueMatrix metalloproteinase-2Cell nuclear antigenREMARK criteriaAdjuvant therapyMultivariable analysisREMARK guidelinesRisk stratificationPrognostic valueSurvival outcomesIncomplete adherenceMelanoma outcomesClinical managementImmunohistochemical expressionCell adhesion moleculeInclusion criteriaKi-67Tissue biomarkersClinical practiceMetalloproteinase-2