2022
NCCN Guidelines® Insights: Myelodysplastic Syndromes, Version 3.2022.
Greenberg PL, Stone RM, Al-Kali A, Bennett JM, Borate U, Brunner AM, Chai-Ho W, Curtin P, de Castro CM, Deeg HJ, DeZern AE, Dinner S, Foucar C, Gaensler K, Garcia-Manero G, Griffiths EA, Head D, Jonas BA, Keel S, Madanat Y, Maness LJ, Mangan J, McCurdy S, McMahon C, Patel B, Reddy VV, Sallman DA, Shallis R, Shami PJ, Thota S, Varshavsky-Yanovsky AN, Westervelt P, Hollinger E, Shead DA, Hochstetler C. NCCN Guidelines® Insights: Myelodysplastic Syndromes, Version 3.2022. Journal Of The National Comprehensive Cancer Network 2022, 20: 106-117. PMID: 35130502, DOI: 10.6004/jnccn.2022.0009.Peer-Reviewed Original ResearchConceptsMyelodysplastic syndromeNCCN guidelinesHigh-risk myelodysplastic syndromeNCCN Guidelines InsightsSupportive care recommendationsManagement of patientsClinical evidencePrognostic significanceTreatment recommendationsCare recommendationsMultidisciplinary panelHigh-risk assessmentPredisposition syndromeBiologic factorsSyndromeMDS expertsGuidelinesImportant advancesPatientsRecommendationsTherapyDiagnosisPractice patterns and real-life outcomes for patients with acute promyelocytic leukemia in the United States
Bewersdorf JP, Prozora S, Podoltsev NA, Shallis R, Huntington SF, Neparidze N, Wang R, Zeidan AM, Davidoff AJ. Practice patterns and real-life outcomes for patients with acute promyelocytic leukemia in the United States. Blood Advances 2022, 6: 376-385. PMID: 34724703, PMCID: PMC8791583, DOI: 10.1182/bloodadvances.2021005642.Peer-Reviewed Original ResearchConceptsAcute promyelocytic leukemiaAdverse outcomesPromyelocytic leukemiaNational Comprehensive Cancer Network guidelinesBaseline white blood cell countFavorable long-term prognosisWhite blood cell countVizient Clinical Data BaseGuideline-concordant regimensGuideline-concordant therapyGuideline-concordant treatmentGuideline-recommended therapiesBaseline clinical characteristicsHigh-risk diseaseLong-term prognosisPopulation-based registryBlood cell countClinical data baseLarge database analysisLogistic regression modelsTreatment concordanceClinical characteristicsReal-world practiceTreatment patternsNetwork guidelines
2021
The complete story of less than complete responses: The evolution and application of acute myeloid leukemia clinical responses
Shallis RM, Pollyea DA, Zeidan AM. The complete story of less than complete responses: The evolution and application of acute myeloid leukemia clinical responses. Blood Reviews 2021, 48: 100806. PMID: 33531169, DOI: 10.1016/j.blre.2021.100806.Peer-Reviewed Original ResearchConceptsComplete remissionAcute myeloid leukemiaClinical benefitRate of CRMeasurable residual disease assessmentIncomplete platelet recoveryNon-intensive therapyPartial hematologic recoveryResidual disease assessmentFuture clinical trialsPost-therapy outcomesClinical responseHematologic recoveryOlder patientsComplete responseIntensive therapyStringent response criteriaPlatelet recoveryTherapeutic responseClinical trialsMyeloid leukemiaClinical valueNew therapiesMRD techniquesResponse criteriaEvaluating Predictors of Immune-Related Adverse Events and Response to Checkpoint Inhibitors in Myeloid Malignancies
Gesiotto QJ, Swoboda DM, Shallis RM, Al Ali N, Padron E, Kuykendall AT, Song J, Talati C, Sweet K, Lancet JE, Zeidan AM, Komrokji RS, Sallman DA. Evaluating Predictors of Immune-Related Adverse Events and Response to Checkpoint Inhibitors in Myeloid Malignancies. Clinical Lymphoma Myeloma & Leukemia 2021, 21: 421-424.e2. PMID: 33583730, DOI: 10.1016/j.clml.2021.01.010.Peer-Reviewed Original Research
2020
Complete, yet partial: the benefits of complete response with partial haematological recovery as an endpoint in acute myeloid leukaemia clinical trials
Shallis RM, Pollyea DA, Zeidan AM. Complete, yet partial: the benefits of complete response with partial haematological recovery as an endpoint in acute myeloid leukaemia clinical trials. The Lancet Haematology 2020, 7: 853-856. PMID: 33242436, DOI: 10.1016/s2352-3026(20)30352-5.Peer-Reviewed Original ResearchEpidemiology of the classical myeloproliferative neoplasms: The four corners of an expansive and complex map
Shallis RM, Wang R, Davidoff A, Ma X, Podoltsev NA, Zeidan AM. Epidemiology of the classical myeloproliferative neoplasms: The four corners of an expansive and complex map. Blood Reviews 2020, 42: 100706. PMID: 32517877, DOI: 10.1016/j.blre.2020.100706.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsChronic myeloid leukemiaPolycythemia veraEssential thrombocythemiaMyeloproliferative neoplasmsClassical myeloproliferative neoplasmsPrimary myelofibrosisIncidence of CMLEnd Results program dataTyrosine kinase inhibitor therapyCML patient outcomesClonal myeloid disordersKinase inhibitor therapyPotential etiological roleInhibitor therapyMale genderRisk factorsPatient outcomesMyeloid leukemiaPMF patientsBetter survivalGeneral populationEtiological roleMyeloid disordersMolecular abnormalitiesEpidemiological literatureIsolated trisomy 11 in patients with acute myeloid leukemia – is the prognosis not as grim as previously thought?*
Bewersdorf JP, Shallis RM, Diadamo A, Gowda L, Podoltsev NA, Siddon A, Zeidan AM. Isolated trisomy 11 in patients with acute myeloid leukemia – is the prognosis not as grim as previously thought?*. Leukemia & Lymphoma 2020, 61: 2254-2257. PMID: 32338096, PMCID: PMC7485109, DOI: 10.1080/10428194.2020.1755858.Peer-Reviewed Original Research
2019
Getting personal with myelodysplastic syndromes: is now the right time?
Chokr N, Pine AB, Bewersdorf JP, Shallis RM, Stahl M, Zeidan AM. Getting personal with myelodysplastic syndromes: is now the right time? Expert Review Of Hematology 2019, 12: 215-224. PMID: 30977414, PMCID: PMC6540985, DOI: 10.1080/17474086.2019.1592673.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMyelodysplastic syndromeNext-generation sequencingTherapy selectionPrognosis of MDSRole of NGSPrognosis of patientsRoutine clinical practiceMinimal residual diseaseRecurrent genetic abnormalitiesResidual diseaseBlood countDisease stagePeripheral bloodHematologic malignanciesPrognostic evaluationMDS pathogenesisRoutine managementTherapy decisionsHealthy individualsBone marrowClinical practiceCytological examinationPatientsScoring systemDiagnostic accuracy
2018
Epidemiology of myelodysplastic syndromes: Why characterizing the beast is a prerequisite to taming it
Zeidan AM, Shallis RM, Wang R, Davidoff A, Ma X. Epidemiology of myelodysplastic syndromes: Why characterizing the beast is a prerequisite to taming it. Blood Reviews 2018, 34: 1-15. PMID: 30314642, DOI: 10.1016/j.blre.2018.09.001.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCase ascertainmentAllogeneic hematopoietic stem cell transplantationAnnual age-adjusted incidenceHematopoietic stem cell transplantationOutcomes of patientsAge-adjusted incidenceStem cell transplantationAcute myeloid leukemiaTraditional morphologic assessmentClassification of MDSVariable cytopeniasCell transplantationMyelodysplastic syndromePrior receiptInefficient hematopoiesisEffective therapyMale genderRisk factorsMyeloid leukemiaEpidemiological trendsTreatment decisionsMyeloid neoplasmsEpidemiological assessmentDiagnostic criteriaTemporal improvementThe genetic and molecular pathogenesis of myelodysplastic syndromes
Shallis RM, Ahmad R, Zeidan AM. The genetic and molecular pathogenesis of myelodysplastic syndromes. European Journal Of Haematology 2018, 101: 260-271. PMID: 29742289, DOI: 10.1111/ejh.13092.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMolecular pathogenesisGene expression profilingSignal transduction elementsDevelopment of MDSHigh-throughput techniquesCohesin proteinsMyelodysplastic syndromeRNA splicingDNA methylationTranscription factorsDNA repairMolecular basisExpression profilingMalignant myeloid disordersBone marrow microenvironmentGenetic materialClonal architectureSuch mutationsTransduction elementsInflammatory bone marrow microenvironmentMarrow microenvironmentImportant substrateGenetic mutationsDiverse groupPathophysiology of MDS