2023
Birth characteristics and risk of Ewing sarcoma
Wiemels J, Wang R, Feng Q, Yee A, Morimoto L, Metayer C, Ma X. Birth characteristics and risk of Ewing sarcoma. Cancer Causes & Control 2023, 34: 837-843. PMID: 37335392, PMCID: PMC10460323, DOI: 10.1007/s10552-023-01737-4.Peer-Reviewed Original ResearchConceptsBirth characteristicsEwing's sarcomaConclusionsThis population-based studyDisease riskMultivariable logistic regression modelNon-Hispanic white subjectsPopulation-based seriesPopulation-based studySignificant risk factorsMetastatic Ewing sarcomaEwing's sarcoma casesMinimal selection biasLogistic regression modelsYear of birthPurposeThe incidenceFetal growthRisk factorsSarcoma casesLower riskSarcomaMultiethnic populationBirth recordsWhite subjectsGenetic susceptibilityPredisposition alleles
2022
Hispanic Ethnicity Differences in Birth Characteristics, Maternal Birthplace, and Risk of Early-Onset Hodgkin Lymphoma: A Population-Based Case–Control Study
Graham C, Metayer C, Morimoto LM, Wiemels JL, Siddique A, Di M, Rodwin RL, Kadan-Lottick NS, Ma X, Wang R. Hispanic Ethnicity Differences in Birth Characteristics, Maternal Birthplace, and Risk of Early-Onset Hodgkin Lymphoma: A Population-Based Case–Control Study. Cancer Epidemiology Biomarkers & Prevention 2022, 31: 1788-1795. PMID: 35709749, PMCID: PMC9444874, DOI: 10.1158/1055-9965.epi-22-0335.Peer-Reviewed Original ResearchConceptsNon-Hispanic whitesHodgkin's lymphomaCase-control studyBirth characteristicsMaternal birthplaceMaternal agePopulation-based case-control studyMultivariable logistic regression modelConfidence intervalsEthnic differencesEarly-onset cancersPotential ethnic differencesForeign-born mothersLogistic regression modelsEthnicity differencesRace/ethnicityYear of birthLymphomaPaternal ageFemale HispanicsHispanic casesMale HispanicsHodgkinAgeRiskBirth characteristics and risk of meningioma in a population-based study in California
Cote D, Wang R, Morimoto L, Metayer C, Stempel J, Zada G, Ma X, Wiemels J. Birth characteristics and risk of meningioma in a population-based study in California. Neuro-Oncology Advances 2022, 4: vdac173. PMID: 36479059, PMCID: PMC9721385, DOI: 10.1093/noajnl/vdac173.Peer-Reviewed Original ResearchPopulation-based studyHigher birth orderBirth characteristicsFemale sexRace/ethnicityBlack raceOdds ratioHigh riskUnconditional multivariable logistic regression modelsMultivariable logistic regression modelLarge population-based studyAge-stratified analysisConfidence intervalsCancer registry dataRisk of meningiomaAge of diagnosisCalifornia birth recordsPopulation-based linkageBirth orderLogistic regression modelsYear of birthGestational ageMaternal ageRisk factorsHigher birthweight
2021
Mode of Delivery, Birth Characteristics and Early-Onset Non-Hodgkin Lymphoma in a Population-Based Case-Control Study
Dwyer KE, Wang R, Cozen W, Cartmel B, Wiemels JL, Morimoto LM, Metayer C, Ma X. Mode of Delivery, Birth Characteristics and Early-Onset Non-Hodgkin Lymphoma in a Population-Based Case-Control Study. Cancer Epidemiology Biomarkers & Prevention 2021, 30: cebp.0535.2021. PMID: 34548330, DOI: 10.1158/1055-9965.epi-21-0535.Peer-Reviewed Original ResearchConceptsNon-Hodgkin lymphomaT-cell non-Hodgkin lymphomaCase-control studyBirth characteristicsMode of deliveryYear of birthOdds ratioNHL riskUnconditional multivariable logistic regression modelsPopulation-based case-control studyCases of NHLMultivariable logistic regression modelConfidence intervalsAge of diagnosisPediatric Burkitt lymphomaLogistic regression modelsCesarean sectionHistologic subtypeDecreased riskHodgkin's lymphomaMaternal ageBurkitt's lymphomaElevated riskLower riskMaternal educationSociodemographic and hospital‐based predictors of intense end‐of‐life care among children, adolescents, and young adults with hematologic malignancies
Mun S, Wang R, Ma X, Ananth P. Sociodemographic and hospital‐based predictors of intense end‐of‐life care among children, adolescents, and young adults with hematologic malignancies. Cancer 2021, 127: 3817-3824. PMID: 34185881, PMCID: PMC8478813, DOI: 10.1002/cncr.33764.Peer-Reviewed Original ResearchConceptsHematologic malignanciesYoung adultsLife careMultivariable logistic regression modelCancer-directed treatmentPremier Healthcare DatabaseRetrospective cohort studyEmergency department visitsIntensive care unitHigh-intensity endDays of lifeMajority of childrenLogistic regression modelsIntravenous chemotherapyTracheostomy placementCohort studyDepartment visitsCare unitMechanical ventilationHospital characteristicsMultivariable modelCardiopulmonary resuscitationType of insuranceHealthcare databasesMalignancy
2020
National trends in the management of patients with positive surgical margins at radical prostatectomy
Ghabili K, Park HS, Yu JB, Sprenkle PC, Kim SP, Nguyen KA, Ma X, Gross CP, Leapman MS. National trends in the management of patients with positive surgical margins at radical prostatectomy. World Journal Of Urology 2020, 39: 1141-1151. PMID: 32562045, DOI: 10.1007/s00345-020-03298-6.Peer-Reviewed Original ResearchConceptsAndrogen deprivation therapyPositive surgical marginsUse of ADTPost-prostatectomy radiation therapyRadiation therapySurgical marginsRadical prostatectomyInitial courseNode-negative prostate cancerPost-operative radiation therapyMultivariable logistic regression modelNational Cancer DatabaseAdverse pathologic featuresManagement of patientsPost-operative managementLogistic regression modelsDeprivation therapySurgical cancersPrimary endpointRT useSecondary endpointsPathologic characteristicsPathologic featuresUninsured statusCancer DatabasePatterns of care and clinical outcomes with cytarabine-anthracycline induction chemotherapy for AML patients in the United States
Zeidan AM, Podoltsev NA, Wang X, Zhang C, Bewersdorf JP, Shallis RM, Huntington SF, Neparidze N, Giri S, Gore SD, Davidoff AJ, Ma X, Wang R. Patterns of care and clinical outcomes with cytarabine-anthracycline induction chemotherapy for AML patients in the United States. Blood Advances 2020, 4: 1615-1623. PMID: 32311013, PMCID: PMC7189301, DOI: 10.1182/bloodadvances.2020001728.Peer-Reviewed Original ResearchConceptsIntensive induction chemotherapyAcute myeloid leukemiaHospital deathInduction chemotherapyAdult patientsMultivariable logistic regression modelLow hospital volumePremier Healthcare DatabasePredictors of deathHealthcare resource utilizationIntensive care unitPatterns of careStandard of careLogistic regression modelsFit patientsRemission inductionFirst hospitalizationHospital volumeInpatient deathInpatient mortalityOlder patientsSupportive careMedian ageAML patientsCare unitRisk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study
Shen Y, Risch H, Lu L, Ma X, Irwin ML, Lim JK, Taddei T, Pawlish K, Stroup A, Brown R, Wang Z, Jia W, Wong L, Mayne ST, Yu H. Risk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study. Cancer Causes & Control 2020, 31: 321-332. PMID: 32060838, PMCID: PMC7136513, DOI: 10.1007/s10552-020-01277-1.Peer-Reviewed Original ResearchConceptsRisk of HCCCase-control studyHepatocellular carcinomaRisk factorsHCV infectionHCC riskOdds ratioHepatitis C virus antibodyUnconditional logistic regression modelsElevated HCC riskRapid case ascertainmentC virus antibodyHeavy alcohol intakeConfidence intervalsFamily cancer historyImportant risk factorRandom digit dialingLow socioeconomic statusUnhealthy lifestyle choicesLower household incomeLogistic regression modelsNSAID useAlcohol intakeCigarette smokingHigher BMI
2019
Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis
Zeidan AM, Podoltsev NA, Wang X, Bewersdorf JP, Shallis RM, Huntington SF, Gore SD, Davidoff AJ, Ma X, Wang R. Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis. Cancer 2019, 125: 4241-4251. PMID: 31483484, PMCID: PMC7733320, DOI: 10.1002/cncr.32439.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaTime of diagnosisOlder patientsActive treatmentMyeloid leukemiaMultivariable logistic regression modelMedian overall survivalPercentage of patientsLow-intensity therapyMajority of patientsNovel therapeutic optionsQuality of careLogistic regression modelsIntensity therapyTherapy receiptOverall survivalWorse survivalClinical factorsInferior survivalEntire cohortTherapeutic optionsPatient populationRetrospective analysisHigher oddsProvider characteristicsUnderutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States
Giri S, Zhu W, Wang R, Zeidan A, Podoltsev N, Gore SD, Neparidze N, Ma X, Gross CP, Davidoff AJ, Huntington SF. Underutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States. Cancer 2019, 125: 4084-4095. PMID: 31381151, DOI: 10.1002/cncr.32428.Peer-Reviewed Original ResearchConceptsBone-modifying drugsSupportive careMultiple myelomaInfluenza vaccinationAntiviral prophylaxisOlder adultsLower oddsEnd Results-Medicare databaseNon-Hispanic black patientsMultivariable logistic regression modelBaseline renal impairmentSupportive care useTreatment-related toxicityFacility-level characteristicsNon-Hispanic blacksOutcomes of interestCommunity-based settingsLogistic regression modelsRenal impairmentActive treatmentBlack patientsCare useConcomitant useProphylactic antiviralsReduced oddsTobacco use increases risk of food insecurity: An analysis of continuous NHANES data from 1999 to 2014
Mayer M, Gueorguieva R, Ma X, White MA. Tobacco use increases risk of food insecurity: An analysis of continuous NHANES data from 1999 to 2014. Preventive Medicine 2019, 126: 105765. PMID: 31260724, DOI: 10.1016/j.ypmed.2019.105765.Peer-Reviewed Original ResearchConceptsLow food securityTobacco useTobacco productsNutrition Examination Survey dataSingle product useAlternative tobacco productsUse of cigarettesMagnitude of associationLogistic regression modelsMultiple tobacco productsMultinomial logistic regression modelsFood insecurityNational HealthHigh prevalenceHealth disparity issuesNHANES dataOnly cigarettesSignificant associationTobacco product typesProduct useHealth risksCigarettesAssociationRegression modelsOdds
2018
Association Between Prostate Magnetic Resonance Imaging and Observation for Low-risk Prostate Cancer
Leapman MS, Wang R, Park HS, Yu JB, Weinreb JC, Gross CP, Ma X. Association Between Prostate Magnetic Resonance Imaging and Observation for Low-risk Prostate Cancer. Urology 2018, 124: 98-106. PMID: 30107188, DOI: 10.1016/j.urology.2018.07.041.Peer-Reviewed Original ResearchConceptsLow-risk prostate cancerProstate magnetic resonance imagingMagnetic resonance imagingProstate cancerDefinitive treatmentPCa diagnosisEnd Results-Medicare databaseResonance imagingMultivariable logistic regression analysisPropensity scoreDiagnosis of PCaUse of MRIConditional logistic regression modelsLogistic regression analysisLogistic regression modelsInitial managementMultivariable analysisGreater oddsPatientsSocioeconomic statusDiagnosisHigher likelihoodRegression analysisDemographic factorsCancerNeonatal Hormone Concentrations and Risk of Testicular Germ Cell Tumors (TGCT)
Morimoto LM, Zava D, McGlynn KA, Stanczyk FZ, Kang AY, Ma X, Wiemels JL, Metayer C. Neonatal Hormone Concentrations and Risk of Testicular Germ Cell Tumors (TGCT). Cancer Epidemiology Biomarkers & Prevention 2018, 27: 488-495. PMID: 29475970, PMCID: PMC5884718, DOI: 10.1158/1055-9965.epi-17-0879.Peer-Reviewed Original ResearchConceptsHormone levelsTGCT riskTesticular germ cell tumor incidencePopulation-based case-control studyNon-Hispanic white subjectsAbrupt hormonal changesTumor histologic subtypeCase-control studySex steroid hormonesEarly fetal developmentLogistic regression modelsNeonatal androgensHistologic subtypeNeonatal periodTumor incidenceAndrogen levelsHormone imbalanceHormonal changesFetal developmentAge groupsWhite subjectsSteroid hormonesBlood spotsLiquid chromatography-tandem mass spectrometryTGCT
2016
Air toxics and early childhood acute lymphocytic leukemia in Texas, a population based case control study
Symanski E, Tee Lewis PG, Chen TY, Chan W, Lai D, Ma X. Air toxics and early childhood acute lymphocytic leukemia in Texas, a population based case control study. Environmental Health 2016, 15: 70. PMID: 27301866, PMCID: PMC4908700, DOI: 10.1186/s12940-016-0154-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAir PollutantsBenzeneButadienesCase-Control StudiesChild, PreschoolEnvironmental MonitoringFemaleHumansInfantInfant, NewbornMaleMaternal ExposureOdds RatioPolycyclic Aromatic HydrocarbonsPrecursor Cell Lymphoblastic Leukemia-LymphomaPregnancyPrenatal Exposure Delayed EffectsTexasYoung AdultConceptsAcute lymphocytic leukemiaCo-pollutant modelsCase-control studySingle-pollutant modelsChildhood leukemiaLymphocytic leukemiaChildhood acute lymphocytic leukemiaBirth certificatesCancer registry casesPopulation-based controlsEarly life exposureMixed effects logistic regression modelsEarly childhood risksLogistic regression modelsPotential confoundersEtiologic roleLowest quartileRegistry casesInfant characteristicsLife exposurePediatric cancerMaternal addressControl studyBirth recordsLeukemia
2011
Genetic variation in nucleotide excision repair pathway genes, pesticide exposure and prostate cancer risk
Barry KH, Koutros S, Andreotti G, Sandler DP, Burdette LA, Yeager M, Freeman L, Lubin JH, Ma X, Zheng T, Alavanja MC, Berndt SI. Genetic variation in nucleotide excision repair pathway genes, pesticide exposure and prostate cancer risk. Carcinogenesis 2011, 33: 331-337. PMID: 22102698, PMCID: PMC3271261, DOI: 10.1093/carcin/bgr258.Peer-Reviewed Original ResearchConceptsProstate cancer riskCancer riskSingle nucleotide polymorphismsPesticide exposurePesticide applicatorsPesticide manufacturing workersCase-control studyInteraction p valueProstate cancer casesNucleotide excision repair pathway genesWild-type TT genotypeLogistic regression modelsHuman biomonitoring studiesCancer casesLifetime daysTT genotypeERCC1 rs2298881Male controlsFalse discovery rate methodIntensity scoresSignificant associationNucleotide excision repair pathwayGenotype groupsManufacturing workersUnderlying mechanismGenetic Variation in Base Excision Repair Pathway Genes, Pesticide Exposure, and Prostate Cancer Risk
Barry KH, Koutros S, Berndt SI, Andreotti G, Hoppin JA, Sandler DP, Burdette LA, Yeager M, Freeman LE, Lubin JH, Ma X, Zheng T, Alavanja MC. Genetic Variation in Base Excision Repair Pathway Genes, Pesticide Exposure, and Prostate Cancer Risk. Environmental Health Perspectives 2011, 119: 1726-1732. PMID: 21810555, PMCID: PMC3261977, DOI: 10.1289/ehp.1103454.Peer-Reviewed Original ResearchConceptsProstate cancer riskCancer riskSingle nucleotide polymorphismsPesticide applicatorsCT/TT genotypesPesticide manufacturing workersCase-control studyProstate cancer casesLogistic regression modelsTag single nucleotide polymorphismsBase excision repair pathway genesProstate cancerCancer casesFamily historyOxidative DNA damageTT genotypeCC genotypeMale controlsExposure variablesPesticide exposureBase excision repairManufacturing workersUnderlying mechanismRiskBER genes
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 periodCytopeniasDysplasiaCancer