2024
Prognostic and therapeutic insights into MIF, DDT, and CD74 in melanoma
Valdez C, Sánchez-Zuno G, Osmani L, Ibrahim W, Galan A, Bacchiocchi A, Halaban R, Kulkarni R, Kang I, Bucala R, Tran T. Prognostic and therapeutic insights into MIF, DDT, and CD74 in melanoma. Oncotarget 2024, 15: 507-520. PMID: 39028303, PMCID: PMC11259151, DOI: 10.18632/oncotarget.28615.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntigens, Differentiation, B-LymphocyteBiomarkers, TumorFemaleHistocompatibility Antigens Class IIHumansImmune Checkpoint InhibitorsIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMaleMelanomaMiddle AgedMutationPrognosisRetrospective StudiesSkin NeoplasmsConceptsMacrophage migration inhibitory factorImmune checkpoint inhibitionD-dopachrome tautomeraseExpression of macrophage migration inhibitory factorDrivers of tumor progressionInflammatory cell markersPatient tumor samplesPatient survival outcomesMigration inhibitory factorStatistically significant differenceCheckpoint inhibitionImmune therapyPrognostic valueSurvival outcomesResistant melanomaGene expressionImproved survivalRetrospective studyInflammatory markersTumor progressionCell markersTumor samplesClinical evidenceMelanomaBulk RNA sequencing
2022
Integrative molecular and clinical profiling of acral melanoma links focal amplification of 22q11.21 to metastasis
Farshidfar F, Rhrissorrakrai K, Levovitz C, Peng C, Knight J, Bacchiocchi A, Su J, Yin M, Sznol M, Ariyan S, Clune J, Olino K, Parida L, Nikolaus J, Zhang M, Zhao S, Wang Y, Huang G, Wan M, Li X, Cao J, Yan Q, Chen X, Newman AM, Halaban R. Integrative molecular and clinical profiling of acral melanoma links focal amplification of 22q11.21 to metastasis. Nature Communications 2022, 13: 898. PMID: 35197475, PMCID: PMC8866401, DOI: 10.1038/s41467-022-28566-4.Peer-Reviewed Original ResearchConceptsAcral melanomaMelanoma subtypesClinical profilingCommon melanoma subtypeImmune checkpoint blockadeCheckpoint blockadeInferior survivalMelanoma cell linesKey molecular driversPoor prognosisTherapeutic targetAnchorage-independent growthImmunomodulatory genesNon-white individualsHotspot mutationsMolecular driversCandidate oncogeneMelanomaApoptotic cell deathLZTR1Focal amplificationTumor promoterCell linesMetastasisTumor suppressor
2018
Early B cell changes predict autoimmunity following combination immune checkpoint blockade
Das R, Bar N, Ferreira M, Newman AM, Zhang L, Bailur JK, Bacchiocchi A, Kluger H, Wei W, Halaban R, Sznol M, Dhodapkar MV, Dhodapkar KM. Early B cell changes predict autoimmunity following combination immune checkpoint blockade. Journal Of Clinical Investigation 2018, 128: 715-720. PMID: 29309048, PMCID: PMC5785243, DOI: 10.1172/jci96798.Peer-Reviewed Original ResearchConceptsCombination checkpoint blockadeB cell changesB cellsCheckpoint blockadeCell changesCombination immune checkpoint blockadeB-cell receptor sequencingRisk of irAEsImmune checkpoint blockadeCell receptor sequencingB cell activationTreatment-induced changesCCB therapyAdverse eventsPD1 expressionPD1 receptorGrade 3PatientsCell activationEarly changesSingle-cell RNA sequencingTherapyPreemptive strategyCancer therapyIrAEs
2017
Changes in serum interleukin-8 (IL-8) levels reflect and predict response to anti-PD-1 treatment in melanoma and non-small-cell lung cancer patients
Sanmamed MF, Perez-Gracia JL, Schalper KA, Fusco JP, Gonzalez A, Rodriguez-Ruiz ME, Oñate C, Perez G, Alfaro C, Martín-Algarra S, Andueza MP, Gurpide A, Morgado M, Wang J, Bacchiocchi A, Halaban R, Kluger H, Chen L, Sznol M, Melero I. Changes in serum interleukin-8 (IL-8) levels reflect and predict response to anti-PD-1 treatment in melanoma and non-small-cell lung cancer patients. Annals Of Oncology 2017, 28: 1988-1995. PMID: 28595336, PMCID: PMC5834104, DOI: 10.1093/annonc/mdx190.Peer-Reviewed Original ResearchConceptsSerum IL-8 levelsIL-8 levelsCell lung cancer patientsLung cancer patientsNSCLC patientsCancer patientsMelanoma patientsPD1/PD-L1 therapyAnti-PD-1 treatmentAnti-PD-1 blockadeSerum interleukin-8 levelsPD-L1 therapyImmune checkpoint blockadeInterleukin-8 levelsLonger overall survivalBiomarkers of responseMann-Whitney testCheckpoint blockadeFirst doseOverall survivalStrength of associationClinical benefitReceiver operation characteristic curveMetastatic melanomaSurrogate biomarkerSpitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas
Lazova R, Pornputtapong N, Halaban R, Bosenberg M, Bai Y, Chai H, Krauthammer M. Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas. Modern Pathology 2017, 30: 640-649. PMID: 28186096, PMCID: PMC5413430, DOI: 10.1038/modpathol.2016.237.Peer-Reviewed Original Research
2016
Germline MC1R status influences somatic mutation burden in melanoma
Robles-Espinoza CD, Roberts ND, Chen S, Leacy FP, Alexandrov LB, Pornputtapong N, Halaban R, Krauthammer M, Cui R, Timothy Bishop D, Adams DJ. Germline MC1R status influences somatic mutation burden in melanoma. Nature Communications 2016, 7: 12064. PMID: 27403562, PMCID: PMC4945874, DOI: 10.1038/ncomms12064.Peer-Reviewed Original ResearchMeSH KeywordsAgedAllelesCohort StudiesFemaleGenetic Predisposition to DiseaseGenetic VariationGerm-Line MutationHair ColorHead and Neck NeoplasmsHumansMaleMelanomaMelanosisMiddle AgedMutationMutation AccumulationNeoplasm InvasivenessPolymorphism, Single NucleotideReceptor, Melanocortin, Type 1Skin NeoplasmsSkin PigmentationConceptsR allelePhenotypic risk factorsCutaneous melanoma riskYears of ageSomatic mutation burdenRisk factorsMutation burdenSun exposureGeneral populationMelanoma riskMutational burdenSun sensitivityMC1R statusMajor genetic determinantMelanoma developmentReceptor geneT mutationMelanomaRed hairGenetic determinantsMutation classesDisruptive variantsBurdenAllelesMelanocortin 1 receptor (MC1R) geneRASopathy Gene Mutations in Melanoma
Halaban R, Krauthammer M. RASopathy Gene Mutations in Melanoma. Journal Of Investigative Dermatology 2016, 136: 1755-1759. PMID: 27236105, PMCID: PMC4992636, DOI: 10.1016/j.jid.2016.05.095.Peer-Reviewed Original ResearchConceptsRASopathy mutationsRAS/mitogen-activated protein kinaseRAS/mitogen-activated protein kinase (MAPK) pathwayMitogen-activated protein kinase pathwayMitogen-activated protein kinaseProtein kinase pathwayAmino acid substitutionsNext-generation sequencingProtein kinasePathway genesKinase pathwaySequencing dataDriver genesAcid substitutionsGenomic abnormalitiesMutationsLegius syndromeGenesAbundant mutationsGermline mutationsGene mutationsPathwaySignificant overlapKinaseMelanomagenesis
2015
Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas
Krauthammer M, Kong Y, Bacchiocchi A, Evans P, Pornputtapong N, Wu C, McCusker JP, Ma S, Cheng E, Straub R, Serin M, Bosenberg M, Ariyan S, Narayan D, Sznol M, Kluger HM, Mane S, Schlessinger J, Lifton RP, Halaban R. Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas. Nature Genetics 2015, 47: 996-1002. PMID: 26214590, PMCID: PMC4916843, DOI: 10.1038/ng.3361.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsBenzimidazolesDNA Mutational AnalysisDrug Resistance, NeoplasmExomeGenetic Association StudiesGenetic Predisposition to DiseaseHumansInhibitory Concentration 50Kaplan-Meier EstimateLoss of HeterozygosityMaleMelanomaMutation, MissenseNeurofibromin 1Ras ProteinsSequence Analysis, RNASkin NeoplasmsSunlightTumor Cells, CulturedGenomic Classification of Cutaneous Melanoma
Network T, Akbani R, Akdemir K, Aksoy B, Albert M, Ally A, Amin S, Arachchi H, Arora A, Auman J, Ayala B, Baboud J, Balasundaram M, Balu S, Barnabas N, Bartlett J, Bartlett P, Bastian B, Baylin S, Behera M, Belyaev D, Benz C, Bernard B, Beroukhim R, Bir N, Black A, Bodenheimer T, Boice L, Boland G, Bono R, Bootwalla M, Bosenberg M, Bowen J, Bowlby R, Bristow C, Brockway-Lunardi L, Brooks D, Brzezinski J, Bshara W, Buda E, Burns W, Butterfield Y, Button M, Calderone T, Cappellini G, Carter C, Carter S, Cherney L, Cherniack A, Chevalier A, Chin L, Cho J, Cho R, Choi Y, Chu A, Chudamani S, Cibulskis K, Ciriello G, Clarke A, Coons S, Cope L, Crain D, Curley E, Danilova L, D’Atri S, Davidsen T, Davies M, Delman K, Demchok J, Deng Q, Deribe Y, Dhalla N, Dhir R, DiCara D, Dinikin M, Dubina M, Ebrom J, Egea S, Eley G, Engel J, Eschbacher J, Fedosenko K, Felau I, Fennell T, Ferguson M, Fisher S, Flaherty K, Frazer S, Frick J, Fulidou V, Gabriel S, Gao J, Gardner J, Garraway L, Gastier-Foster J, Gaudioso C, Gehlenborg N, Genovese G, Gerken M, Gershenwald J, Getz G, Gomez-Fernandez C, Gribbin T, Grimsby J, Gross B, Guin R, Gutschner T, Hadjipanayis A, Halaban R, Hanf B, Haussler D, Haydu L, Hayes D, Hayward N, Heiman D, Herbert L, Herman J, Hersey P, Hoadley K, Hodis E, Holt R, Hoon D, Hoppough S, Hoyle A, Huang F, Huang M, Huang S, Hutter C, Ibbs M, Iype L, Jacobsen A, Jakrot V, Janning A, Jeck W, Jefferys S, Jensen M, Jones C, Jones S, Ju Z, Kakavand H, Kang H, Kefford R, Khuri F, Kim J, Kirkwood J, Klode J, Korkut A, Korski K, Krauthammer M, Kucherlapati R, Kwong L, Kycler W, Ladanyi M, Lai P, Laird P, Lander E, Lawrence M, Lazar A, Łaźniak R, Lee D, Lee J, Lee J, Lee K, Lee S, Lee W, Leporowska E, Leraas K, Li H, Lichtenberg T, Lichtenstein L, Lin P, Ling S, Liu J, Liu O, Liu W, Long G, Lu Y, Ma, Ma Y, Mackiewicz A, Mahadeshwar H, Malke J, Mallery D, Manikhas G, Mann G, Marra M, Matejka B, Mayo M, Mehrabi S, Meng S, Meyerson M, Mieczkowski P, Miller J, Miller M, Mills G, Moiseenko F, Moore R, Morris S, Morrison C, Morton D, Moschos S, Mose L, Muller F, Mungall A, Murawa D, Murawa P, Murray B, Nezi L, Ng S, Nicholson D, Noble M, Osunkoya A, Owonikoko T, Ozenberger B, Pagani E, Paklina O, Pantazi A, Parfenov M, Parfitt J, Park P, Park W, Parker J, Passarelli F, Penny R, Perou C, Pihl T, Potapova O, Prieto V, Protopopov A, Quinn M, Radenbaugh A, Rai K, Ramalingam S, Raman A, Ramirez N, Ramirez R, Rao U, Rathmell W, Ren X, Reynolds S, Roach J, Robertson A, Ross M, Roszik J, Russo G, Saksena G, Saller C, Samuels Y, Sander C, Sander C, Sandusky G, Santoso N, Saul M, Saw R, Schadendorf D, Schein J, Schultz N, Schumacher S, Schwallier C, Scolyer R, Seidman J, Sekhar P, Sekhon H, Senbabaoglu Y, Seth S, Shannon K, Sharpe S, Sharpless N, Shaw K, Shelton C, Shelton T, Shen R, Sheth M, Shi Y, Shiau C, Shmulevich I, Sica G, Simons J, Sinha R, Sipahimalani P, Sofia H, Soloway M, Song X, Sougnez C, Spillane A, Spychała A, Stretch J, Stuart J, Suchorska W, Sucker A, Sumer S, Sun Y, Synott M, Tabak B, Tabler T, Tam A, Tan D, Tang J, Tarnuzzer R, Tarvin K, Tatka H, Taylor B, Teresiak M, Thiessen N, Thompson J, Thorne L, Thorsson V, Trent J, Triche T, Tsai K, Tsou P, Van Den Berg D, Van Allen E, Veluvolu U, Verhaak R, Voet D, Voronina O, Walter V, Walton J, Wan Y, Wang Y, Wang Z, Waring S, Watson I, Weinhold N, Weinstein J, Weisenberger D, White P, Wilkerson M, Wilmott J, Wise L, Wiznerowicz M, Woodman S, Wu C, Wu C, Wu J, Wu Y, Xi R, Xu A, Yang D, Yang L, Yang L, Zack T, Zenklusen J, Zhang H, Zhang J, Zhang W, Zhao X, Zhu J, Zhu K, Zimmer L, Zmuda E, Zou L. Genomic Classification of Cutaneous Melanoma. Cell 2015, 161: 1681-1696. PMID: 26091043, PMCID: PMC4580370, DOI: 10.1016/j.cell.2015.05.044.Peer-Reviewed Original ResearchMeSH KeywordsDatabases, GeneticHumansMelanomaMutationNational Cancer Institute (U.S.)Skin NeoplasmsUnited StatesConceptsGenomic classificationProtein-based analysesComplex structural rearrangementsImmune gene expressionMutant RASGene expressionIntegrative analysisFocal amplificationGenomic alterationsStructural rearrangementsProtein expressionMutant BRAFCell markersExpressionGenesRNADNAMutationsCutaneous melanomaKIT mutationsNF1RASRearrangementEnrichmentLandscapePDK1 and SGK3 Contribute to the Growth of BRAF-Mutant Melanomas and Are Potential Therapeutic Targets
Scortegagna M, Lau E, Zhang T, Feng Y, Sereduk C, Yin H, De SK, Meeth K, Platt JT, Langdon CG, Halaban R, Pellecchia M, Davies MA, Brown K, Stern DF, Bosenberg M, Ronai ZA. PDK1 and SGK3 Contribute to the Growth of BRAF-Mutant Melanomas and Are Potential Therapeutic Targets. Cancer Research 2015, 75: 1399-1412. PMID: 25712345, PMCID: PMC4383687, DOI: 10.1158/0008-5472.can-14-2785.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBenzoatesBridged Bicyclo Compounds, HeterocyclicCell Line, TumorDrug Screening Assays, AntitumorG1 Phase Cell Cycle CheckpointsHumansImmediate-Early ProteinsIndazolesLymphatic MetastasisMelanomaMice, KnockoutMolecular Targeted TherapyProtein Kinase InhibitorsProtein Serine-Threonine KinasesProto-Oncogene Proteins B-rafPyrimidinesPyruvate Dehydrogenase Acetyl-Transferring KinaseSkinSkin NeoplasmsConceptsPDK1 inhibitionAGC kinase familySynthetic lethal screenCell cycle arrestPhase cell cycle arrestPigmentation genesPDK1 activityG1 phase cell cycle arrestSuppress melanoma growthKinase familyTherapeutic targetMelanoma growthPDK1PTEN genotypePI3KMelanoma developmentPotential therapeutic targetK inhibitionPharmacologic inhibitionDevelopment of melanomaPan-PI3K inhibitionBRAF-mutant melanomaSGK3GenesMelanoma cellsChemiexcitation of melanin derivatives induces DNA photoproducts long after UV exposure
Premi S, Wallisch S, Mano CM, Weiner AB, Bacchiocchi A, Wakamatsu K, Bechara EJ, Halaban R, Douki T, Brash DE. Chemiexcitation of melanin derivatives induces DNA photoproducts long after UV exposure. Science 2015, 347: 842-847. PMID: 25700512, PMCID: PMC4432913, DOI: 10.1126/science.1256022.Peer-Reviewed Original ResearchConceptsDark cyclobutane pyrimidine dimersExcited electronic statesUltraviolet photonsUV photonsElectronic statesTriplet stateSunlight-induced melanomaCytosine-containing cyclobutane pyrimidine dimersEnergy transferPhotonsPicosecondsElectronsUV exposureRadiationChemiexcitationEnergyStatePhotoproducts
2014
RAC1 and Melanoma
Halaban R. RAC1 and Melanoma. Clinical Therapeutics 2014, 37: 682-685. PMID: 25465943, PMCID: PMC4415501, DOI: 10.1016/j.clinthera.2014.10.027.Peer-Reviewed Original ResearchRare SF3B1 R625 mutations in cutaneous melanoma
Kong Y, Krauthammer M, Halaban R. Rare SF3B1 R625 mutations in cutaneous melanoma. Melanoma Research 2014, 24: 332-334. PMID: 24709888, PMCID: PMC4101881, DOI: 10.1097/cmr.0000000000000071.Peer-Reviewed Original Research
2012
Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma
Krauthammer M, Kong Y, Ha BH, Evans P, Bacchiocchi A, McCusker J, Cheng E, Davis MJ, Goh G, Choi M, Ariyan S, Narayan D, Dutton-Regester K, Capatana A, Holman EC, Bosenberg M, Sznol M, Kluger HM, Brash DE, Stern DF, Materin MA, Lo RS, Mane S, Ma S, Kidd KK, Hayward NK, Lifton RP, Schlessinger J, Boggon TJ, Halaban R. Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma. Nature Genetics 2012, 44: 1006-1014. PMID: 22842228, PMCID: PMC3432702, DOI: 10.1038/ng.2359.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCase-Control StudiesDNA Mutational AnalysisExomeFemaleGene FrequencyGenetic Predisposition to DiseaseHumansMaleMelanomaMiddle AgedModels, MolecularMutationProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Rac1 GTP-Binding ProteinSequence Analysis, DNASkin NeoplasmsUveal NeoplasmsConceptsSun-exposed melanomasChitinase-like Proteins in Lung Injury, Repair, and Metastasis
Lee CG, Dela Cruz CS, Ma B, Ahangari F, Zhou Y, Halaban R, Sznol M, Elias JA. Chitinase-like Proteins in Lung Injury, Repair, and Metastasis. Annals Of The American Thoracic Society 2012, 9: 57-61. PMID: 22550243, PMCID: PMC3359113, DOI: 10.1513/pats.201112-056ms.Peer-Reviewed Original Research
2011
Phosphoproteomic Screen Identifies Potential Therapeutic Targets in Melanoma
Tworkoski K, Singhal G, Szpakowski S, Zito CI, Bacchiocchi A, Muthusamy V, Bosenberg M, Krauthammer M, Halaban R, Stern DF. Phosphoproteomic Screen Identifies Potential Therapeutic Targets in Melanoma. Molecular Cancer Research 2011, 9: 801-812. PMID: 21521745, PMCID: PMC3117976, DOI: 10.1158/1541-7786.mcr-10-0512.Peer-Reviewed Original ResearchMeSH KeywordsApoptosisCell Line, TumorCell MovementCell ProliferationErbB ReceptorsGene Expression Regulation, NeoplasticGene Knockdown TechniquesHEK293 CellsHumansInfant, NewbornMelanocytesMelanomaPhosphoproteinsPhosphorylationProteomicsReceptor Protein-Tyrosine KinasesReceptor, IGF Type 2RNA, Small InterferingSignal TransductionSkin NeoplasmsSTAT3 Transcription FactorConceptsTherapeutic targetReceptor tyrosine kinasesMelanoma cellsPotential therapeutic targetIdentifies potential therapeutic targetsActive receptor tyrosine kinasesTyrosine kinaseMelanoma cell migrationReceptor expressionBreast cancerAxl knockdownAutocrine circuitTherapeutic interventionsCancer subtypesReceptor tyrosine kinase activationTyrosine kinase activationNovel targetActivated receptorsAxlRNA knockdownMelanomaCell migrationHER3KnockdownIGF1R
2010
A Variant in a MicroRNA complementary site in the 3′ UTR of the KIT oncogene increases risk of acral melanoma
Godshalk SE, Paranjape T, Nallur S, Speed W, Chan E, Molinaro AM, Bacchiocchi A, Hoyt K, Tworkoski K, Stern DF, Sznol M, Ariyan S, Lazova R, Halaban R, Kidd KK, Weidhaas JB, Slack FJ. A Variant in a MicroRNA complementary site in the 3′ UTR of the KIT oncogene increases risk of acral melanoma. Oncogene 2010, 30: 1542-1550. PMID: 21119596, PMCID: PMC3069149, DOI: 10.1038/onc.2010.536.Peer-Reviewed Original ResearchConceptsMessenger RNAsComplementary sitesNovel genetic markersKIT oncogeneTarget genesRegulatory relationshipsUntranslated regionGenetic markersHeritable riskFunctional variantsGenetic variantsOncogeneMultifaceted roleProtein levelsProtein expressionVariant resultsComplementary sequencesReporter dataUTRMelanoma pathogenesisMiR-221KIT variantsSeed regionExpressionVariantsIncidence of the V600K mutation among melanoma patients with BRAF mutations, and potential therapeutic response to the specific BRAF inhibitor PLX4032
Rubinstein JC, Sznol M, Pavlick AC, Ariyan S, Cheng E, Bacchiocchi A, Kluger HM, Narayan D, Halaban R. Incidence of the V600K mutation among melanoma patients with BRAF mutations, and potential therapeutic response to the specific BRAF inhibitor PLX4032. Journal Of Translational Medicine 2010, 8: 67. PMID: 20630094, PMCID: PMC2917408, DOI: 10.1186/1479-5876-8-67.Peer-Reviewed Original ResearchConceptsV600K mutationsClinical trialsBRAF V600E/K mutationK mutationPotential therapeutic responseMutant BRAF inhibitorsBRAF inhibitor PLX4032BRAF V600K mutationMelanoma patientsTherapeutic responseBRAF mutationsPatientsV600E mutationInhibitor PLX4032BRAF kinasePLX4032TrialsCommon mutationsMutationsMelanomaIncidenceMeenhard Herlyn
Halaban R. Meenhard Herlyn. Pigment Cell & Melanoma Research 2010, 23: 287-287. PMID: 20394680, DOI: 10.1111/j.1755-148x.2010.00683.x.Peer-Reviewed Original Research
2008
Nuclear to non-nuclear Pmel17/gp100 expression (HMB45 staining) as a discriminator between benign and malignant melanocytic lesions
Rothberg BE, Moeder CB, Kluger H, Halaban R, Elder DE, Murphy GF, Lazar A, Prieto V, Duncan LM, Rimm DL. Nuclear to non-nuclear Pmel17/gp100 expression (HMB45 staining) as a discriminator between benign and malignant melanocytic lesions. Modern Pathology 2008, 21: 1121-1129. PMID: 18552823, PMCID: PMC2570478, DOI: 10.1038/modpathol.2008.100.Peer-Reviewed Original ResearchAntigens, NeoplasmBiomarkers, TumorCell NucleusDiagnosis, DifferentialFluorescent Antibody Technique, IndirectGp100 Melanoma AntigenHumansImage Processing, Computer-AssistedImmunoenzyme TechniquesMelanomaMelanoma-Specific AntigensMembrane GlycoproteinsNeoplasm ProteinsNevus, PigmentedSkin NeoplasmsTissue Array Analysis