2023
InterMEL: An international biorepository and clinical database to uncover predictors of survival in early-stage melanoma
Orlow I, Sadeghi K, Edmiston S, Kenney J, Lezcano C, Wilmott J, Cust A, Scolyer R, Mann G, Lee T, Burke H, Jakrot V, Shang P, Ferguson P, Boyce T, Ko J, Ngo P, Funchain P, Rees J, O’Connell K, Hao H, Parrish E, Conway K, Googe P, Ollila D, Moschos S, Hernando E, Hanniford D, Argibay D, Amos C, Lee J, Osman I, Luo L, Kuan P, Aurora A, Rothberg BE, Bosenberg M, Gerstenblith M, Thompson C, Bogner P, Gorlov I, Holmen S, Brunsgaard E, Saenger Y, Shen R, Seshan V, Nagore E, Ernstoff M, Busam K, Begg C, Thomas N, Berwick M, Consortium O. InterMEL: An international biorepository and clinical database to uncover predictors of survival in early-stage melanoma. PLOS ONE 2023, 18: e0269324. PMID: 37011054, PMCID: PMC10069769, DOI: 10.1371/journal.pone.0269324.Peer-Reviewed Original ResearchConceptsEarly-stage melanomaPrimary melanomaMemorial Sloan-Kettering Cancer CenterDisease-specific survivalPredictors of survivalMulti-institutional settingSomatic mutationsPre-established protocolMiRNA expressionScreening failureMulticenter studyCancer CenterDownstream testingLimited tumor tissueNucleic acid qualityClinical databaseMulticenter researchTumor tissueMelanomaTumor samplesFFPE tumorsArchival tissueFFPE tissue blocksTissue blocksSuccess rate
2014
Red meat and fruit intake is prognostic among patients with localized cutaneous melanomas more than 1mm thick
Rothberg BE, Bulloch K, Fine J, Barnhill R, Berwick M. Red meat and fruit intake is prognostic among patients with localized cutaneous melanomas more than 1mm thick. Cancer Epidemiology 2014, 38: 599-607. PMID: 25194935, PMCID: PMC4229370, DOI: 10.1016/j.canep.2014.08.005.Peer-Reviewed Original ResearchConceptsMelanoma-specific survivalLocalized cutaneous melanomaFruit consumptionPost-diagnostic measuresDaily fruit consumptionModifiable lifestyle behaviorsRed meatBreslow thicknessCutaneous melanomaAssociated with melanoma-specific survivalRed meat consumptionAssociated with worse outcomesSurvivorship periodLifestyle behaviorsCancer survivorsPhysical activityTobacco cessationFruit intakeNon-therapeutic interventionsTime of diagnosisCox proportional hazardsHigh fish consumptionDietary choicesIndex melanomaIndependent associations
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
2010
Biomarkers: The Useful and the Not So Useful—An Assessment of Molecular Prognostic Markers for Cutaneous Melanoma
Rothberg BE, Rimm DL. Biomarkers: The Useful and the Not So Useful—An Assessment of Molecular Prognostic Markers for Cutaneous Melanoma. Journal Of Investigative Dermatology 2010, 130: 1971-1987. PMID: 20555347, PMCID: PMC3180927, DOI: 10.1038/jid.2010.149.Peer-Reviewed Original Research
2009
Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms
Rothberg BE, Berger AJ, Molinaro AM, Subtil A, Krauthammer MO, Camp RL, Bradley WR, Ariyan S, Kluger HM, Rimm DL. Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms. Journal Of Clinical Oncology 2009, 27: 5772-5780. PMID: 19884546, PMCID: PMC2792999, DOI: 10.1200/jco.2009.22.8239.Peer-Reviewed Original ResearchConceptsHigh-risk groupTissue 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
2008
Prognostic Significance of Cadherin-Based Adhesion Molecules in Cutaneous Malignant Melanoma
Kreizenbeck GM, Berger AJ, Subtil A, Rimm DL, Rothberg BE. Prognostic Significance of Cadherin-Based Adhesion Molecules in Cutaneous Malignant Melanoma. Cancer Epidemiology Biomarkers & Prevention 2008, 17: 949-958. PMID: 18398036, PMCID: PMC3312613, DOI: 10.1158/1055-9965.epi-07-2729.Peer-Reviewed Original Research