2024
Outcomes Following Implementation of an Electronic Model for Perioperative Hematologic Consultation
Su D, Rehman S, Wang K, Deng Y, Rose M, Dosani T, Kunstman J. Outcomes Following Implementation of an Electronic Model for Perioperative Hematologic Consultation. Journal Of Surgical Research 2024, 301: 10-17. PMID: 38905768, DOI: 10.1016/j.jss.2024.04.033.Peer-Reviewed Original ResearchHematology consultationSingle-center retrospective studyClavien-Dindo classificationVA Connecticut Healthcare SystemAssess operative outcomesTime to resolutionPrimary outcome measureE-consultationOperative morbidityPostoperative transfusionHematologic complicationsSurgical outcomesNo significant differenceRetrospective studyProcedural dataOperative outcomesProcedural outcomesStudy cohortPatient characteristicsConsult volumeSecondary outcomesHematologic issuesAssociated with changesReferral patternsSurgery
2023
Supportive Care for Patients With Myelodysplastic Syndromes
Stempel J, Podoltsev N, Dosani T. Supportive Care for Patients With Myelodysplastic Syndromes. The Cancer Journal 2023, 29: 168-178. PMID: 37195773, DOI: 10.1097/ppo.0000000000000661.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMyelodysplastic syndromeMyeloid leukemiaLow-risk diseaseTreatment-related complicationsSupportive care interventionsSupportive care measuresAcute myeloid leukemiaBone marrow disordersAntimicrobial prophylaxisFrequent complicationProgressive cytopeniasSupportive careTransfusion supportHigh-risk counterpartsBetter prognosisPalliative careRoutine immunizationCare measuresCare interventionsIneffective hematopoiesisIron overloadCommon causeMarrow disordersSyndrome populationPatients
2022
A Multidisciplinary Quality Improvement Project to Improve Appropriate Inherited Thrombophilia Testing at VA Connecticut
Xiang J, Dosani T, Hauser R, Cosentino D, Merchant N, Rose M. A Multidisciplinary Quality Improvement Project to Improve Appropriate Inherited Thrombophilia Testing at VA Connecticut. Blood 2022, 140: 7864-7865. DOI: 10.1182/blood-2022-168044.Peer-Reviewed Original Research
2021
Impact of Hematology Electronic Consultations on Utilization of Referrals and Patient Outcomes in an Integrated Health Care System
Dosani T, Xiang J, Wang K, Deng Y, Connell NT, Connery D, Levin F, Roy A, Wadia RJ, Wong EY, Rose MG. Impact of Hematology Electronic Consultations on Utilization of Referrals and Patient Outcomes in an Integrated Health Care System. JCO Oncology Practice 2021, 18: e564-e573. PMID: 34914541, DOI: 10.1200/op.21.00420.Peer-Reviewed Original ResearchConceptsE-consultsHealth care systemPatient outcomesElectronic consultationFTF visitsCare systemIntegrated health care systemRetrospective cohort studyType of consultHematology consultUnique cliniciansPeriprocedural managementCohort studyLaboratory abnormalitiesHematology serviceHematologic malignanciesConsultsConsult volumePatientsMalignancyCliniciansHematologyElectronic modalitiesVisitsOutcomesUse of Denosumab after Zoledronic Acid in Patients with Multiple Myeloma: Real-World Experience from 2015 to 2019 at Yale Cancer Center
Dosani T, Poteraj A, Parker T, Bar N, Browning S, Gorshein E, Anderson T, Insogna K, Neparidze N. Use of Denosumab after Zoledronic Acid in Patients with Multiple Myeloma: Real-World Experience from 2015 to 2019 at Yale Cancer Center. Blood 2021, 138: 4756. DOI: 10.1182/blood-2021-147466.Peer-Reviewed Original ResearchBone-modifying agentsUse of denosumabYale Cancer CenterZoledronic acidMultiple myelomaMM patientsCancer CenterMedian numberPhysician preferenceCommon reasonClinical practiceNew fracturesNuclear factor kappa-B ligandStudy periodApproval of denosumabEfficacy of denosumabIncidence of SREsMain treatment centreSmilow Cancer HospitalSuppress bone turnoverPatient's renal functionBone resorption markersCohort of patientsGlomerular filtration rateDate of diagnosis
2019
Impact of lenalidomide on collected hematopoietic myeloid and erythroid progenitors: peripheral stem cell collection may not be affected
Dosani T, Covut F, Pinto R, Kim BG, Ali N, Beck R, Maitta R, Downes K, Fox R, Reese J, de Lima M, Malek E. Impact of lenalidomide on collected hematopoietic myeloid and erythroid progenitors: peripheral stem cell collection may not be affected. Leukemia & Lymphoma 2019, 60: 2199-2206. PMID: 30845862, DOI: 10.1080/10428194.2019.1573367.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAutograftsBenzylaminesChemotherapy, AdjuvantCyclamsFemaleHematopoietic Stem Cell MobilizationHeterocyclic CompoundsHumansInduction ChemotherapyLenalidomideLeukapheresisMaleMiddle AgedMultiple MyelomaNeoadjuvant TherapyPeripheral Blood Stem Cell TransplantationRegression AnalysisRetrospective StudiesTransplantation, AutologousTreatment OutcomeConceptsImpact of lenalidomideLens exposureClinical implicationsPeripheral stem cell collectionAutologous stem cell transplantationTransplant-eligible patientsStem cell transplantationStem cell collectionSignificant clinical implicationsErythroid progenitorsHematopoietic myeloidInduction therapyLens usePBSC graftsCell transplantationMultiple myelomaPBSC collectionPlerixafor useLenalidomidePatientsCell collectionGraftMobilization agentsHematopoietic progenitorsExposure
2017
Host-related immunodeficiency in the development of multiple myeloma
Dosani T, Mailankody S, Korde N, Manasanch E, Bhutani M, Tageja N, Roschewski M, Kwok M, Kazandjian D, Costello R, Burton D, Zhang Y, Liewehr D, Steinberg SM, Maric I, Landgren O. Host-related immunodeficiency in the development of multiple myeloma. Leukemia & Lymphoma 2017, 59: 1127-1132. PMID: 28792255, PMCID: PMC6750254, DOI: 10.1080/10428194.2017.1361026.Peer-Reviewed Original ResearchConceptsMultiple myelomaLymphocyte subsetsCD57- subsetImmune biomarkersDevelopment of MMMyeloma precursor diseaseNK cell proportionNovel immune biomarkersProgression of SMMMultiparametric flow cytometrySMM patientsImmune changesImmune patternsClinical guidancePrecursor diseaseCell proportionFlow cytometryMGUSPotential markerImmunodeficiencySequential changesMyelomaPatientsPrecursor conditionsProgressionSignificance of the absolute lymphocyte/monocyte ratio as a prognostic immune biomarker in newly diagnosed multiple myeloma
Dosani T, Covut F, Beck R, Driscoll J, de Lima M, Malek E. Significance of the absolute lymphocyte/monocyte ratio as a prognostic immune biomarker in newly diagnosed multiple myeloma. Blood Cancer Journal 2017, 7: e579-e579. PMID: 28665418, PMCID: PMC5520407, DOI: 10.1038/bcj.2017.60.Peer-Reviewed Original Research194 Impact of Lenalidomide on Hematopoietic Myeloid and Erythroid Progenitors: Peripheral Stem Cell Collection May Not be Affected
Covut F, Pinto R, Dosani T, Friedman J, Driscoll J, Downes K, Maitta R, de Lima M, Malek E, Jurdi N. 194 Impact of Lenalidomide on Hematopoietic Myeloid and Erythroid Progenitors: Peripheral Stem Cell Collection May Not be Affected. Transplantation And Cellular Therapy 2017, 23: s190-s191. DOI: 10.1016/j.bbmt.2016.12.301.Peer-Reviewed Original Research
2016
Immunologic Status Evaluated By the Absolute Lymphocyte/Monocyte Ratio Provides a Powerful Prognostic Tool for Newly Diagnosed Multiple Myeloma
Malek E, Dosani T, Pinto R, Covut F, Akabane H, Driscoll J, De Lima M. Immunologic Status Evaluated By the Absolute Lymphocyte/Monocyte Ratio Provides a Powerful Prognostic Tool for Newly Diagnosed Multiple Myeloma. Blood 2016, 128: 1862. DOI: 10.1182/blood.v128.22.1862.1862.Peer-Reviewed Original ResearchALC/AMC ratioLow ALC/AMC ratioProgression-free survivalAbsolute lymphocyte countAbsolute monocyte countTumor-associated macrophagesHigh absolute monocyte countLow absolute lymphocyte countHost immune statusOverall survivalPrognostic factorsMM patientsHost immune systemPrognostic significanceMultivariate analysisImmune statusSurrogate markerSuperior median progression-free survivalImmune systemPredictors of PFSLymphocyte/monocyte ratioMedian progression-free survivalLonger progression-free survivalDifferent progression-free survivalImmunosuppressive tumor-associated macrophagesImpact of cytogenetics on myeloma immune microenvironment as reflected by the absolute lymphocyte/monocyte ratio.
Dosani T, Akabane H, De Lima M, Driscoll J, Malek E. Impact of cytogenetics on myeloma immune microenvironment as reflected by the absolute lymphocyte/monocyte ratio. Journal Of Clinical Oncology 2016, 34: e23109-e23109. DOI: 10.1200/jco.2016.34.15_suppl.e23109.Peer-Reviewed Original Research
2015
Erratum: The cellular immune system in myelomagenesis: NK cells and T cells in the development of MM and their uses in immunotherapies
Dosani T, Carlsten M, Maric I, Landgren O. Erratum: The cellular immune system in myelomagenesis: NK cells and T cells in the development of MM and their uses in immunotherapies. Blood Cancer Journal 2015, 5: e321-e321. PMID: 26140429, PMCID: PMC4526775, DOI: 10.1038/bcj.2015.49.Peer-Reviewed Original ResearchThe cellular immune system in myelomagenesis: NK cells and T cells in the development of MM and their uses in immunotherapies
Dosani T, Carlsten M, Maric I, Landgren O. The cellular immune system in myelomagenesis: NK cells and T cells in the development of MM and their uses in immunotherapies. Blood Cancer Journal 2015, 5: e306-e306. PMID: 25885426, PMCID: PMC4450330, DOI: 10.1038/bcj.2015.32.Peer-Reviewed Original ResearchConceptsDevelopment of MMMultiple myelomaT cellsImmune systemNatural killer T cellsRegulatory T cellsKiller T cellsNatural killer cellsConventional T cellsΓδ T cellsCellular immune systemImmune subsetsNK cellsKiller cellsPeripheral bloodUndetermined significanceImmune cellsMonoclonal gammopathyImmune componentsTumor evolutionBone marrowMyelomagenesisImmunotherapyPrecursor conditionsCurrent literature
2014
Biomarker Proteasome Levels Predict Response to Combination Therapy with Carfilzomib, Lenalidomide, and Dexamethasone in Newly Diagnosed Multiple Myeloma Patients
Korde N, Dosani T, Simakova O, Mailankody S, Costello R, Roschewski M, Yuan C, Stetler-Stevenson M, Figg W, Landgren O, Maric I. Biomarker Proteasome Levels Predict Response to Combination Therapy with Carfilzomib, Lenalidomide, and Dexamethasone in Newly Diagnosed Multiple Myeloma Patients. Blood 2014, 124: 2080. DOI: 10.1182/blood.v124.21.2080.2080.Peer-Reviewed Original ResearchIndependent data monitoring committeeMultiple myeloma patientsNon-CR groupsPlasma cellsMyeloma patientsData monitoring committeeMFI ratioCR groupCombination therapyPre-treatment bone marrow samplesResponse rateProteasome levelsMinimal residual disease statusGood partial response rateProgression-free survival dataMonitoring committeeMean fluorescence intensity ratioNovel flow cytometric assayBone marrow plasma cellsCarfilzomib-based therapyComplete response/Mean percentage declinePatient's good responsePartial response rateResidual disease statusLarge granular lymphocyte (LGL) subsets in smoldering multiple myeloma (SMM): Immunophenotypic profiles that predict progression to multiple myeloma (MM).
Dosani T, Korde N, Manasanch E, Bhutani M, Tageja N, Mailankody S, Roschewski M, Kwok M, Kazandjian D, Landgren O, Maric I. Large granular lymphocyte (LGL) subsets in smoldering multiple myeloma (SMM): Immunophenotypic profiles that predict progression to multiple myeloma (MM). Journal Of Clinical Oncology 2014, 32: 8597-8597. DOI: 10.1200/jco.2014.32.15_suppl.8597.Peer-Reviewed Original Research