2021
Distinct Immunophenotypes of T Cells in Bronchoalveolar Lavage Fluid From Leukemia Patients With Immune Checkpoint Inhibitors-Related Pulmonary Complications
Kim ST, Sheshadri A, Shannon V, Kontoyiannis DP, Kantarjian H, Garcia-Manero G, Ravandi F, Im JS, Boddu P, Bashoura L, Balachandran DD, Evans SE, Faiz S, Vazquez W, Divenko M, Mathur R, Tippen SP, Gumbs C, Neelapu SS, Naing A, Wang L, Diab A, Futreal A, Nurieva R, Daver N. Distinct Immunophenotypes of T Cells in Bronchoalveolar Lavage Fluid From Leukemia Patients With Immune Checkpoint Inhibitors-Related Pulmonary Complications. Frontiers In Immunology 2021, 11: 590494. PMID: 33552049, PMCID: PMC7859512, DOI: 10.3389/fimmu.2020.590494.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsAML/MDS patientsPulmonary complicationsAcute myeloid leukemiaMDS patientsICI groupCheckpoint inhibitorsBronchoalveolar lavageMyelodysplastic syndromeT cellsTh17/Th1 cellsBAL T cellsRisk of pneumonitisBronchoalveolar lavage fluidFungal pneumoniaPulmonary symptomsIL-17Lavage fluidPeripheral bloodTh1 cellsLeukemia patientsMyeloid leukemiaDistinct immunophenotypePatientsComplications
2019
The minimal that kills: Why defining and targeting measurable residual disease is the “Sine Qua Non” for further progress in management of acute myeloid leukemia
Bewersdorf JP, Shallis RM, Boddu PC, Wood B, Radich J, Halene S, Zeidan AM. The minimal that kills: Why defining and targeting measurable residual disease is the “Sine Qua Non” for further progress in management of acute myeloid leukemia. Blood Reviews 2019, 43: 100650. PMID: 31883804, DOI: 10.1016/j.blre.2019.100650.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAnimalsDisease ManagementHigh-Throughput Nucleotide SequencingHumansImmune Checkpoint InhibitorsLeukemia, Myeloid, AcuteNeoplasm, ResidualConceptsAcute myeloid leukemiaMyeloid leukemiaHard clinical outcomesClinical trial evidenceMeasurable residual diseaseResidual leukemic cellsRisk of relapseApprovable endpointsMRD statusDeep remissionMorphologic remissionMRD assessmentOverall survivalMRD levelsClinical outcomesDisease relapseInitial treatmentResidual diseaseTrial evidenceClinical trialsTreatment decisionsSurrogate endpointsBone marrowPreemptive interventionLeukemic cellsThe golden age for patients in their golden years: The progressive upheaval of age and the treatment of newly-diagnosed acute myeloid leukemia
Shallis RM, Boddu PC, Bewersdorf JP, Zeidan AM. The golden age for patients in their golden years: The progressive upheaval of age and the treatment of newly-diagnosed acute myeloid leukemia. Blood Reviews 2019, 40: 100639. PMID: 31761380, DOI: 10.1016/j.blre.2019.100639.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsInduction therapyAcute myeloid leukemia patientsMost acute myeloid leukemia (AML) patientsAML patients ageIntensive induction therapyLeukemic stem cell persistenceOptimal treatment modalityMyeloid leukemia patientsPatient-specific factorsAcute myeloid leukemiaAvailability of therapiesMedical comorbiditiesOlder patientsPatient ageIntensive therapyOrgan reserveTreatment algorithmEarly mortalityLongstanding recommendationsTreatment modalitiesSuch therapyLeukemia patientsMyeloid leukemiaPatientsTherapyGut Microbiome Signatures Are Predictive of Infectious Risk Following Induction Therapy for Acute Myeloid Leukemia
Galloway-Peña JR, Shi Y, Peterson CB, Sahasrabhojane P, Gopalakrishnan V, Brumlow CE, Daver NG, Alfayez M, Boddu PC, Khan A, Wargo JA, Do KA, Jenq RR, Kontoyiannis DP, Shelburne SA. Gut Microbiome Signatures Are Predictive of Infectious Risk Following Induction Therapy for Acute Myeloid Leukemia. Clinical Infectious Diseases 2019, 71: 63-71. PMID: 31436833, PMCID: PMC7312220, DOI: 10.1093/cid/ciz777.Peer-Reviewed Original ResearchMeSH KeywordsFecesGastrointestinal MicrobiomeHumansInduction ChemotherapyLeukemia, Myeloid, AcuteRNA, Ribosomal, 16SConceptsAcute myeloid leukemiaInduction chemotherapyNeutrophil recoveryInfectious complicationsAML patientsMyeloid leukemiaAcute myeloid leukemia induction chemotherapyGut microbiome signaturesInfectious risk stratificationHematologic malignancy patientsExtended spectrum βSubsequent infectious complicationsStrong independent predictorHigher baseline levelsInduction therapyInfectious outcomesMalignancy patientsCarbapenem useIndependent predictorsTransplant settingAntibiotic administrationClinical outcomesRisk stratificationStool samplesMicrobiome signaturesHedgehog pathway inhibition as a therapeutic target in acute myeloid leukemia
Shallis RM, Bewersdorf JP, Boddu PC, Zeidan AM. Hedgehog pathway inhibition as a therapeutic target in acute myeloid leukemia. Expert Review Of Anticancer Therapy 2019, 19: 717-729. PMID: 31422721, DOI: 10.1080/14737140.2019.1652095.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsAcute myeloid leukemiaHh pathway inhibitorsMyeloid leukemiaSurvival of AMLPathway inhibitorHh pathwayPoor-risk diseaseHedgehog pathway inhibitionStem cellsCombination therapyClinical trialsFirst approvalTherapeutic strategiesTherapeutic targetPathway inhibitionHematopoietic stem cellsNeoplasm therapyOlder populationTherapyHedgehog pathwayFurther studiesLeukemiaNormal hematopoiesisAdult stem cellsInhibitors