2021
Incidence and characteristics of metastatic intracranial lesions in stage III and IV melanoma: a single institute retrospective analysis
Sandhu MRS, Chiang VL, Tran T, Yu JB, Weiss S, Goldberg S, Aboian M, Kluger HM, Mahajan A. Incidence and characteristics of metastatic intracranial lesions in stage III and IV melanoma: a single institute retrospective analysis. Journal Of Neuro-Oncology 2021, 154: 197-203. PMID: 34351544, DOI: 10.1007/s11060-021-03813-8.Peer-Reviewed Original ResearchMeSH KeywordsBrain NeoplasmsHumansIncidenceMaleMelanomaPrognosisRetrospective StudiesTesticular NeoplasmsConceptsStage IV melanomaMetastatic brain lesionsStage IIIInitial diagnosisTumor RegistryOverall incidenceBrain lesionsBM incidenceSingle-institute retrospective analysisBM developmentBrain metastases incidenceIncidence of BMInstitution's tumor registryStage III patientsTime of diagnosisMetastatic intracranial lesionsCommon genetic mutationsTumor genetic profileGenetic profileBM occurrenceMedian durationAdvanced melanomaSurveillance regimenIII patientsMedian time
2020
Prognostic and Predictive Biomarkers in Oligometastatic Disease.
Barnum KJ, Weiss SA. Prognostic and Predictive Biomarkers in Oligometastatic Disease. The Cancer Journal 2020, 26: 100-107. PMID: 32205533, PMCID: PMC9208067, DOI: 10.1097/ppo.0000000000000438.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCirculating Tumor DNAClinical Decision-MakingDisease-Free SurvivalHumansMicroRNAsMutationNeoplasmsNeoplastic Cells, CirculatingPatient SelectionPrognosisProgression-Free SurvivalRadiofrequency AblationRadiosurgeryRisk AssessmentSurvival RateConceptsLocal therapyOligometastatic diseaseSystemic therapyPredictive biomarkersCurative-intent local therapyAdvanced disease stateCancer-related deathSurvival benefitPatient candidatesMetastatic lesionsPatient selectionPoor prognosisAblative treatmentClinical definitionTumor biologyTherapyOligometastasesDisease statesDiseasePatientsLocal interventionsBiomarkersPolymetastasesPrognosisLesions
2019
PLEKHA5 regulates tumor growth in metastatic melanoma
Zhang H, Zhu H, Deng G, Zito CR, Oria VO, Rane CK, Zhang S, Weiss SA, Tran T, Adeniran A, Zhang F, Zhou J, Kluger Y, Bosenberg MW, Kluger HM, Jilaveanu LB. PLEKHA5 regulates tumor growth in metastatic melanoma. Cancer 2019, 126: 1016-1030. PMID: 31769872, PMCID: PMC7147081, DOI: 10.1002/cncr.32611.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnimalsApoptosis Regulatory ProteinsBiomarkers, TumorBrain NeoplasmsCell ProliferationFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansIntracellular Signaling Peptides and ProteinsMaleMelanomaMiceMice, NudeMiddle AgedPhosphatidylinositol 3-KinasesPrognosisProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesTumor Cells, CulturedXenograft Model Antitumor AssaysYoung AdultConceptsTumor growthDisseminated melanomaExtracranial melanoma metastasesPI3K/AKT/mTOR pathwayMelanoma brain metastasesBetter overall survivalPI3K/Akt/mTORAKT/mTOR pathwayCell proliferationAkt/mTORMelanoma xenograft modelGrowth of tumorsS cell cycle transitionBrain metastasesOverall survivalPoor prognosisMetastatic melanomaMAPK/ERKSubcutaneous inoculationMelanoma metastasesXenograft modelClinical relevanceMelanoma growthNude miceCerebral specimensImmunotherapy of Melanoma: Facts and Hopes
Weiss SA, Wolchok JD, Sznol M. Immunotherapy of Melanoma: Facts and Hopes. Clinical Cancer Research 2019, 25: 5191-5201. PMID: 30923036, PMCID: PMC6726509, DOI: 10.1158/1078-0432.ccr-18-1550.Peer-Reviewed Original ResearchConceptsOverall survivalMetastatic diseaseImmune therapyPredictive biomarkersNivolumab/ipilimumab combinationRandomized phase III trialLong-term clinical benefitImmunobiology of tumorsDuration of therapyPhase III trialsLong-term survivorsEffective immune therapyAdjuvant settingIpilimumab combinationMetastatic settingIII trialsPatient subsetsClinical benefitImmune modulationMetastatic melanomaClinical trialsSingle agentTherapyTrue increaseCell therapy
2018
Tumor Microvessel Density as a Prognostic Marker in High-Risk Renal Cell Carcinoma Patients Treated on ECOG-ACRIN E2805
Jilaveanu LB, Puligandla M, Weiss SA, Wang X, Zito C, Flaherty KT, Boeke M, Neumeister V, Camp RL, Adeniran A, Pins M, Manola J, DiPaola RS, Haas N, Kluger HM. Tumor Microvessel Density as a Prognostic Marker in High-Risk Renal Cell Carcinoma Patients Treated on ECOG-ACRIN E2805. Clinical Cancer Research 2018, 24: 217-223. PMID: 29066509, PMCID: PMC5904512, DOI: 10.1158/1078-0432.ccr-17-1555.Peer-Reviewed Original ResearchConceptsHigher microvessel densityDisease-free survivalRenal cell carcinomaHigh-risk RCC patientsImproved overall survivalOverall survivalMicrovessel densityRCC patientsAdjuvant therapy trialsClear cell histologyHigh-risk patientsBiomarkers of outcomeTumor microvessel densityLower microvessel densityAbsence of necrosisFuhrman grade 1Clin Cancer ResAdjuvant sunitinibProlonged OSCell histologyLymphovascular invasionSarcomatoid featuresMultivariable analysisTreatment armsEntire cohort
2017
Treatment Outcomes for Metastatic Melanoma of Unknown Primary in the New Era: A Single-Institution Study and Review of the Literature
Utter K, Goldman C, Weiss SA, Shapiro RL, Berman RS, Wilson MA, Pavlick AC, Osman I. Treatment Outcomes for Metastatic Melanoma of Unknown Primary in the New Era: A Single-Institution Study and Review of the Literature. Oncology 2017, 93: 249-258. PMID: 28746931, PMCID: PMC5617794, DOI: 10.1159/000478050.Peer-Reviewed Original ResearchConceptsMUP patientsProspective melanoma databaseSystemic therapyUnknown primaryMetastatic melanomaClinical trialsSingle-institution studyMKP patientsTreatment guidelinesPoor outcomeMelanoma databaseWorse outcomesTreatment outcomesPatientsBetter outcomesTherapyPatient dataMelanomaGoogle ScholarUnique populationSurvival dataOutcomesLimited dataImmunotherapyTrials
2016
Impact of aging on host immune response and survival in melanoma: an analysis of 3 patient cohorts
Weiss SA, Han J, Darvishian F, Tchack J, Han SW, Malecek K, Krogsgaard M, Osman I, Zhong J. Impact of aging on host immune response and survival in melanoma: an analysis of 3 patient cohorts. Journal Of Translational Medicine 2016, 14: 299. PMID: 27760559, PMCID: PMC5070187, DOI: 10.1186/s12967-016-1026-2.Peer-Reviewed Original ResearchConceptsMelanoma-specific survivalShorter melanoma-specific survivalHost immune responseImmune responseTCGA cohortAge groupsClinicopathologic featuresSurvival outcomesPatient cohortPrimary melanomaHost anti-tumor immune responseMelanoma diagnosisAnti-tumor immune responseMelanoma Cooperative GroupIndependent prognostic factorPopulation-based surveillanceEnd Results ProgramGreater prognostic impactMelanoma patient cohortTop upstream regulatorsYounger age groupsAge-related factorsBrisk TILsConclusionsOlder ageLymphocyte measurements
2015
Somatic and germline analyses of a long term melanoma survivor with a recurrent brain metastasis
Weiss S, Darvishian F, Tadepalli J, Shapiro R, Golfinos J, Pavlick A, Polsky D, Kirchhoff T, Osman I. Somatic and germline analyses of a long term melanoma survivor with a recurrent brain metastasis. BMC Cancer 2015, 15: 926. PMID: 26597176, PMCID: PMC4657192, DOI: 10.1186/s12885-015-1927-0.Peer-Reviewed Original ResearchConceptsMelanoma brain metastasesRecurrent brain metastasesBrain metastasesOverall survivalLong-term melanoma survivorsSingle nucleotide polymorphismsYear old manIndividual patient's tumorGenetic variantsMelanoma patientsMelanoma survivorsPrognostic informationFavorable outcomeNRAS wild typePatient outcomesConclusionsOur dataPatient tumorsImmune functionBrain tumorsExtended survivalOlder menPatientsClinical scenariosGermline analysisTherapeutic interventionsRevisiting determinants of prognosis in cutaneous melanoma
Weiss SA, Hanniford D, Hernando E, Osman I. Revisiting determinants of prognosis in cutaneous melanoma. Cancer 2015, 121: 4108-4123. PMID: 26308244, PMCID: PMC4666819, DOI: 10.1002/cncr.29634.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorHumansMelanomaNeoplasm StagingPrognosisSkin NeoplasmsSurvival AnalysisConceptsDeterminants of prognosisCutaneous melanomaStaging systemCurrent staging modelsCurrent staging systemLymph node spreadPrimary tumor thicknessAmerican Joint CommitteeCancer (AJCC) staging systemPresence of ulcerationPrimary cutaneous melanomaUseful prognostic biomarkerMelanoma staging systemNew prognostic toolClinical surveillance strategiesAdjuvant therapyAdvanced diseaseDistant metastasisPatient selectionNode spreadSurvival outcomesTumor thicknessImmunologic markersPatient prognosisPatient outcomes