2021
A neutrophil activation signature predicts critical illness and mortality in COVID-19
Meizlish ML, Pine AB, Bishai JD, Goshua G, Nadelmann ER, Simonov M, Chang CH, Zhang H, Shallow M, Bahel P, Owusu K, Yamamoto Y, Arora T, Atri DS, Patel A, Gbyli R, Kwan J, Won CH, Dela Cruz C, Price C, Koff J, King BA, Rinder HM, Wilson FP, Hwa J, Halene S, Damsky W, van Dijk D, Lee AI, Chun HJ. A neutrophil activation signature predicts critical illness and mortality in COVID-19. Blood Advances 2021, 5: 1164-1177. PMID: 33635335, PMCID: PMC7908851, DOI: 10.1182/bloodadvances.2020003568.Peer-Reviewed Original ResearchConceptsCritical illnessHealth system databaseNeutrophil activationCOVID-19Neutrophil activation signatureSevere COVID-19Intensive care unitGranulocyte colony-stimulating factorHigh mortality rateColony-stimulating factorSystem databaseHepatocyte growth factorClinical decompensationNeutrophil countImmune hyperactivationCare unitEarly elevationLipocalin-2Interleukin-8Longitudinal cohortClinical dataMortality ratePatientsIllnessActivation signature
2020
Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study
Goshua G, Pine AB, Meizlish ML, Chang CH, Zhang H, Bahel P, Baluha A, Bar N, Bona RD, Burns AJ, Dela Cruz CS, Dumont A, Halene S, Hwa J, Koff J, Menninger H, Neparidze N, Price C, Siner JM, Tormey C, Rinder HM, Chun HJ, Lee AI. Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study. The Lancet Haematology 2020, 7: e575-e582. PMID: 32619411, PMCID: PMC7326446, DOI: 10.1016/s2352-3026(20)30216-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBetacoronavirusBiomarkersBlood Coagulation DisordersCoronavirus InfectionsCOVID-19Critical IllnessCross-Sectional StudiesEndothelium, VascularFemaleFollow-Up StudiesHumansIntensive Care UnitsMaleMiddle AgedPandemicsPneumonia, ViralPrognosisSARS-CoV-2Vascular DiseasesYoung AdultConceptsCOVID-19-associated coagulopathyNon-ICU patientsIntensive care unitKaplan-Meier analysisSoluble P-selectinCross-sectional studyPlatelet activationHospital dischargeICU patientsSoluble thrombomodulinEndothelial cellsVWF antigenCOVID-19P-selectinSingle-center cross-sectional studyLaboratory-confirmed COVID-19Medical intensive care unitSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogenesisVon Willebrand factor antigenSoluble thrombomodulin concentrationsVWF antigen concentrationEndothelial cell injurySoluble CD40 ligandMicrovascular complicationsAdult patientsDesign of Hydrazide-Bearing HDACIs Based on Panobinostat and Their p53 and FLT3-ITD Dependency in Antileukemia Activity
Li X, Jiang Y, Peterson YK, Xu T, Himes RA, Luo X, Yin G, Inks ES, Dolloff N, Halene S, Chan SSL, Chou CJ. Design of Hydrazide-Bearing HDACIs Based on Panobinostat and Their p53 and FLT3-ITD Dependency in Antileukemia Activity. Journal Of Medicinal Chemistry 2020, 63: 5501-5525. PMID: 32321249, PMCID: PMC7684764, DOI: 10.1021/acs.jmedchem.0c00442.Peer-Reviewed Original Research
2018
Small Cell Variant of Intravascular Large B‐Cell Lymphoma: Highlighting a Potentially Fatal and Easily Missed Diagnosis
Rahmani M, Halene S, Xu ML. Small Cell Variant of Intravascular Large B‐Cell Lymphoma: Highlighting a Potentially Fatal and Easily Missed Diagnosis. BioMed Research International 2018, 2018: 9413015. PMID: 29850589, PMCID: PMC5903319, DOI: 10.1155/2018/9413015.Peer-Reviewed Case Reports and Technical NotesConceptsIntravascular large B-cell lymphomaB-cell lymphomaLarge B-cell lymphomaSmall cell morphologySmall cell variantCases of IVLBCLCell variantHodgkin's B-cell lymphomaRandom skin biopsySmall bowel biopsyHigh clinical suspicionLarge atypical cellsSmall cell lymphomaSmall blood vesselsBowel biopsyClinical suspicionLymph nodesRetrospective reviewClinicopathologic featuresSmall bowelPoor prognosisAtypical cellsFallopian tubeSkin biopsiesDifferential diagnosis
2017
Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life
Wang R, Zeidan AM, Halene S, Xu X, Davidoff AJ, Huntington SF, Podoltsev NA, Gross CP, Gore SD, Ma X. Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life. Journal Of Clinical Oncology 2017, 35: jco.2017.72.714. PMID: 28783450, PMCID: PMC5648174, DOI: 10.1200/jco.2017.72.7149.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaDays of lifeEnd of lifeLife careHospice careOlder patientsHospice enrollmentMyeloid leukemiaIntensive care unit admissionMultivariable logistic regression analysisOlder adultsLate hospice enrollmentCare unit admissionRetrospective cohort studyUse of chemotherapyIntensive care unitHealth care useLogistic regression analysisYears of ageUnit admissionAggressive treatmentCohort studyOverall cohortAML diagnosisCare unit
2016
Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors
Yang J, Tanaka Y, Seay M, Li Z, Jin J, Garmire LX, Zhu X, Taylor A, Li W, Euskirchen G, Halene S, Kluger Y, Snyder MP, Park IH, Pan X, Weissman SM. Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors. Nucleic Acids Research 2016, 45: 1281-1296. PMID: 28003475, PMCID: PMC5388401, DOI: 10.1093/nar/gkw1214.Peer-Reviewed Original ResearchConceptsHematopoietic stem cellsPrecursor cellsInduction of anemiaInterferon response genesG2/M phaseEarly precursor cellsHomeostatic cellsStages of differentiationTranscription factorsSurface markersCell cycle progressionLong-term hematopoietic stem cellsSpecific augmentationAnemic miceMarked increaseEarly hematopoietic precursorsHematopoietic precursorsStem cellsCycle progressionM phaseSingle-cell transcriptomicsCellsCell differentiationHematopoietic stressLineage-specific transcription factors
2013
Whole-exome sequencing identifies a novel somatic mutation in MMP8 associated with a t(1;22)-acute megakaryoblastic leukemia
Kim Y, Schulz VP, Satake N, Gruber TA, Teixeira AM, Halene S, Gallagher PG, Krause DS. Whole-exome sequencing identifies a novel somatic mutation in MMP8 associated with a t(1;22)-acute megakaryoblastic leukemia. Leukemia 2013, 28: 945-948. PMID: 24157583, PMCID: PMC3981934, DOI: 10.1038/leu.2013.314.Peer-Reviewed Original Research
2010
Pattern of hypomethylating agents use among elderly patients with myelodysplastic syndromes
Wang R, Gross CP, Maggiore RJ, Halene S, Soulos PR, Raza A, Galili N, Ma X. Pattern of hypomethylating agents use among elderly patients with myelodysplastic syndromes. Leukemia Research 2010, 35: 904-908. PMID: 21067809, PMCID: PMC3114277, DOI: 10.1016/j.leukres.2010.10.007.Peer-Reviewed Original ResearchConceptsMyelodysplastic syndromePatient characteristicsRefractory anemiaMultivariate logistic regression modelMultiple patient characteristicsPopulation-based studyUse of HMAsLogistic regression modelsElderly patientsExcess blastsMultilineage dysplasiaRefractory cytopeniaMDS patientsPatientsComorbiditiesAnemiaSyndromeHigher chanceRegression modelsHMAsAgentsIntroduction periodCytopeniasDysplasiaCancerSerum response factor is an essential transcription factor in megakaryocytic maturation
Halene S, Gao Y, Hahn K, Massaro S, Italiano JE, Schulz V, Lin S, Kupfer GM, Krause DS. Serum response factor is an essential transcription factor in megakaryocytic maturation. Blood 2010, 116: 1942-1950. PMID: 20525922, PMCID: PMC3173990, DOI: 10.1182/blood-2010-01-261743.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBleeding TimeBlood PlateletsBone Marrow CellsCell DifferentiationCell LineageCells, CulturedCytoskeletonFemaleFlow CytometryGene Expression ProfilingLuminescent ProteinsMaleMegakaryocytesMiceMice, Inbred C57BLMice, KnockoutMice, TransgenicMicroscopy, Electron, TransmissionPlatelet CountPlatelet Factor 4Reverse Transcriptase Polymerase Chain ReactionSerum Response FactorThrombocytopeniaTranscription FactorsConceptsSerum response factorCytoskeletal genesTranscription factorsMADS-box transcription factorsRole of SRFNormal megakaryocyte maturationAbnormal actin distributionResponse factorEssential transcription factorNormal Mendelian frequencyMegakaryocyte developmentMuscle differentiationPF4-Cre miceStress fibersMegakaryocyte maturationMegakaryocytic maturationActin distributionMegakaryocytic lineageMendelian frequencyMegakaryocyte progenitorsVivo assaysCFU-MKGenesPlatelet productionCritical role
2009
Neighborhood socioeconomic status influences the survival of elderly patients with myelodysplastic syndromes in the United States
Wang R, Gross CP, Halene S, Ma X. Neighborhood socioeconomic status influences the survival of elderly patients with myelodysplastic syndromes in the United States. Cancer Causes & Control 2009, 20: 1369-1376. PMID: 19455395, PMCID: PMC2921772, DOI: 10.1007/s10552-009-9362-7.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusMyelodysplastic syndromeSocioeconomic statusElderly patientsHazard ratioMultivariate Cox proportional hazards modelCox proportional hazards modelSurvival of patientsPopulation-based studyRisk of deathRisk of mortalityProportional hazards modelImpact of SESLow socioeconomic statusCensus tractsPrognostic roleMDS patientsIndependent determinantsRefractory anemiaHistological subtypesHazards modelPatientsSES statusTractS scoresComorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes
Wang R, Gross CP, Halene S, Ma X. Comorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes. Leukemia Research 2009, 33: 1594-1598. PMID: 19324411, PMCID: PMC2749891, DOI: 10.1016/j.leukres.2009.02.005.Peer-Reviewed Original ResearchConceptsMyelodysplastic syndromeHazard ratioComorbid conditionsMDS patientsCharlson indexMultivariate Cox proportional hazards modelPrognosis of MDSChronic obstructive pulmonary diseaseCox proportional hazards modelLarge population-based studyCongestive heart failureObstructive pulmonary diseaseRole of comorbiditiesMedian survival timePopulation-based studyProportional hazards modelMDS survivalHeart failurePulmonary diseaseIndependent determinantsShorter survivalLarge cohortSurvival timeHazards modelComorbidities
1999
Improved Expression in Hematopoietic and Lymphoid Cells in Mice After Transplantation of Bone Marrow Transduced With a Modified Retroviral Vector
Halene S, Wang L, Cooper R, Bockstoce D, Robbins P, Kohn D. Improved Expression in Hematopoietic and Lymphoid Cells in Mice After Transplantation of Bone Marrow Transduced With a Modified Retroviral Vector. Blood 1999, 94: 3349-3357. PMID: 10552944, PMCID: PMC9071851, DOI: 10.1182/blood.v94.10.3349.422k05_3349_3357.Peer-Reviewed Original ResearchMeSH Keywords3T3 CellsAnimalsBone Marrow TransplantationFemaleGene DosageGene ExpressionGene Transfer TechniquesGenetic TherapyGenetic VectorsGreen Fluorescent ProteinsHematopoietic Stem CellsLeukemia Virus, MurineLuminescent ProteinsLymphocytesMaleMiceMice, Inbred C57BLPolymerase Chain ReactionRetroviridaeTime FactorsTransduction, GeneticConceptsEnhanced green fluorescent proteinHematopoietic cellsMoMuLV LTRMammalian hematopoietic cellsMurine embryonic stem cellsStem cellsEmbryonic stem cellsRetroviral vectorsGreen fluorescent proteinMoloney murine leukemia virusMouse bone marrow transplant modelReliable gene expressionHematopoietic stem cellsStable gene transferMurine leukemia virusGene expressionMND vectorTransduction efficiencyFluorescent proteinCopy numberGene transferIndividual cellsAmount of proteinVector copy numberBone marrow transplant model
1998
Consistent, persistent expression from modified retroviral vectors in murine hematopoietic stem cells
Robbins P, Skelton D, Yu X, Halene S, Leonard E, Kohn D. Consistent, persistent expression from modified retroviral vectors in murine hematopoietic stem cells. Proceedings Of The National Academy Of Sciences Of The United States Of America 1998, 95: 10182-10187. PMID: 9707621, PMCID: PMC21482, DOI: 10.1073/pnas.95.17.10182.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBase SequenceBone Marrow TransplantationColony-Forming Units AssayDNA MethylationDNA PrimersDNA, RecombinantFemaleFounder EffectGene ExpressionGene Transfer TechniquesGenetic VectorsHematopoietic Stem CellsMaleMiceMice, Inbred C57BLMoloney murine leukemia virusRepetitive Sequences, Nucleic AcidRetroviridaeTransduction, GeneticTransplantation, IsogeneicVirus Integration