2024
Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer
Siddique S, Baum L, Deziel N, Kelly J, Warren J, Ma X. Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer. PLOS ONE 2024, 19: e0311540. PMID: 39471191, PMCID: PMC11521299, DOI: 10.1371/journal.pone.0311540.Peer-Reviewed Original ResearchConceptsAge-of-onset colorectal cancerEarly-onset colorectal cancerEnd Results Program dataCenters for Disease Control and Prevention dataCounty-level factorsColorectal cancerHealth risk behaviorsIdentified principal componentsOdds of survivalPreventive servicesSurvival disparitiesLinear mixed modelsEOCRCChronic diseasesPreventive factorsUS countiesSalt Lake CountyCA residentsRisk behaviorsUnited StatesProgram dataCounty-levelOlder ageBayesian analytical approachYounger age
2023
Treatment patterns and real-world effectiveness of rituximab maintenance in older patients with mantle cell lymphoma: a population-based analysis
Di M, Long J, Kothari S, Sethi T, Zeidan A, Podoltsev N, Shallis R, Wang R, Ma X, Huntington S. Treatment patterns and real-world effectiveness of rituximab maintenance in older patients with mantle cell lymphoma: a population-based analysis. Haematologica 2023, 108: 2218-2223. PMID: 36655436, PMCID: PMC10388284, DOI: 10.3324/haematol.2022.282252.Peer-Reviewed Original Research
2022
Hemoglobin normalization outperforms other methods for standardizing dried blood spot metabolomics: A comparative study
Jain A, Morris M, Lin EZ, Khan SA, Ma X, Deziel NC, Godri Pollitt KJ, Johnson CH. Hemoglobin normalization outperforms other methods for standardizing dried blood spot metabolomics: A comparative study. The Science Of The Total Environment 2022, 854: 158716. PMID: 36113793, DOI: 10.1016/j.scitotenv.2022.158716.Peer-Reviewed Original ResearchHispanic 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 HispanicsHodgkinAgeRiskAccelerated epigenetic aging in newborns with Down syndrome
Xu K, Li S, Muskens IS, Elliott N, Myint SS, Pandey P, Hansen HM, Morimoto LM, Kang AY, Ma X, Metayer C, Mueller BA, Roberts I, Walsh KM, Horvath S, Wiemels JL, de Smith A. Accelerated epigenetic aging in newborns with Down syndrome. Aging Cell 2022, 21: e13652. PMID: 35661546, PMCID: PMC9282838, DOI: 10.1111/acel.13652.Peer-Reviewed Original ResearchConceptsDown syndromeAge accelerationEpigenetic age accelerationGestational age accelerationEarly-onset Alzheimer's diseaseTransient abnormal myelopoiesisPotential confounding factorsEpigenetic agingPremature agingSomatic GATA1 mutationsDS patientsAbnormal myelopoiesisBlood cell proportionsNewbornsAlzheimer's diseaseConfounding factorsBrain tissueCell proportionGATA1 mutationsEndocrine systemBloodTargeted sequencingSomatic mutationsSyndromeDiseaseMediators of Racial Disparity in the Use of Prostate Magnetic Resonance Imaging Among Patients With Prostate Cancer
Leapman MS, Dinan M, Pasha S, Long J, Washington SL, Ma X, Gross CP. Mediators of Racial Disparity in the Use of Prostate Magnetic Resonance Imaging Among Patients With Prostate Cancer. JAMA Oncology 2022, 8: 687-696. PMID: 35238879, PMCID: PMC8895315, DOI: 10.1001/jamaoncol.2021.8116.Peer-Reviewed Original ResearchConceptsProstate magnetic resonance imagingMagnetic resonance imagingPopulation-based cohort studyProstate cancerWhite patientsRacial disparitiesCohort studyMRI useIndividual-level socioeconomic statusEligible male patientsSocioeconomic statusNeighborhood-level socioeconomic statusLocalized prostate cancerProstate cancer diagnosisObserved racial disparitiesProstate magnetic resonanceMediation analysisPathologic factorsMale patientsUS SurveillanceBlack patientsMedicare databaseMAIN OUTCOMEUS adultsNew diagnosisPhysical Therapy Utilization Among Hospitalized Patients With Pediatric Acute Lymphoblastic Leukemia
Rodwin RL, Ma X, Ness KK, Kadan-Lottick NS, Wang R. Physical Therapy Utilization Among Hospitalized Patients With Pediatric Acute Lymphoblastic Leukemia. JCO Oncology Practice 2022, 18: e1060-e1068. PMID: 35427182, PMCID: PMC9287366, DOI: 10.1200/op.21.00796.Peer-Reviewed Original ResearchConceptsAcute lymphoblastic leukemiaPediatric acute lymphoblastic leukemiaPhysical therapyPhysical functionLymphoblastic leukemiaNeuromuscular conditionsImpaired physical functionPhysical therapy utilizationPremier Healthcare DatabasePediatric hematologists/oncologistsEarly physical therapyInpatient physical therapyHematologists/oncologistsLong-term healthCohort studyFirst hospitalizationMultivariable analysisTherapy utilizationClinical variablesTeaching hospitalHealthcare databasesPatientsAddress disparitiesHospitalAge 10Changes in Prostate-Specific Antigen Testing Relative to the Revised US Preventive Services Task Force Recommendation on Prostate Cancer Screening
Leapman MS, Wang R, Park H, Yu JB, Sprenkle PC, Cooperberg MR, Gross CP, Ma X. Changes in Prostate-Specific Antigen Testing Relative to the Revised US Preventive Services Task Force Recommendation on Prostate Cancer Screening. JAMA Oncology 2022, 8: 41-47. PMID: 34762100, PMCID: PMC8587214, DOI: 10.1001/jamaoncol.2021.5143.Peer-Reviewed Original ResearchConceptsProstate cancer screeningUS Preventive Services Task ForcePSA testingCancer screeningInterrupted time series analysisCohort studyUS Preventive Services Task Force (USPSTF) recommendationDraft statementLarge national cohort studyEligible beneficiariesPSA testing ratesRetrospective cohort studyRate of PSANational cohort studyProstate-specific antigenAge-adjusted ratesTask Force recommendationsUSPSTF guidelinesMedian ageGuideline changesProstate cancerMedian numberMAIN OUTCOMEClaims dataTesting ratesOral Cyanobacteria and Hepatocellular Carcinoma
Hernandez BY, Zhu X, Risch HA, Lu L, Ma X, Irwin ML, Lim JK, Taddei TH, Pawlish KS, Stroup AM, Brown R, Wang Z, Wong LL, Yu H. Oral Cyanobacteria and Hepatocellular Carcinoma. Cancer Epidemiology Biomarkers & Prevention 2022, 31: 221-229. PMID: 34697061, PMCID: PMC8755591, DOI: 10.1158/1055-9965.epi-21-0804.Peer-Reviewed Original ResearchConceptsHepatitis B virusHepatitis C virusHepatocellular carcinomaRisk factorsLiver diseaseHCC casesOral microbiomeU.S. case-control studyIndependent risk factorChronic liver diseaseFatty liver diseaseHCC risk factorsGut microbial alterationsType 2 diabetesCase-control studyLiver cancer developmentNSAID useAspirin useC virusB virusHCC riskNegative historyOral samplesSignificant associationCancer development
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 educationGenetic determinants of blood-cell traits influence susceptibility to childhood acute lymphoblastic leukemia
Kachuri L, Jeon S, DeWan AT, Metayer C, Ma X, Witte JS, Chiang CWK, Wiemels JL, de Smith AJ. Genetic determinants of blood-cell traits influence susceptibility to childhood acute lymphoblastic leukemia. American Journal Of Human Genetics 2021, 108: 1823-1835. PMID: 34469753, PMCID: PMC8546033, DOI: 10.1016/j.ajhg.2021.08.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorBlood PlateletsCase-Control StudiesChildFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLymphocytesMaleMendelian Randomization AnalysisMiddle AgedMonocytesNeutrophilsPrecursor Cell Lymphoblastic Leukemia-LymphomaPrognosisProspective StudiesQuantitative Trait LociUnited KingdomConceptsTrait-associated variantsMulti-trait GWASBlood cell homeostasisWide association studyGenetic risk lociTrait variationHematologic traitsRisk lociAssociation studiesCell typesGenetic determinantsLociInfluence susceptibilityUK BiobankMendelian randomization analysisGWASEtiological relevanceRandomization analysisTraitsHomeostasisSusceptibilityAcute lymphoblastic leukemiaSociodemographic 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 databasesMalignancyAnalysis of Survival Among Adults With Early-Onset Colorectal Cancer in the National Cancer Database
Cheng E, Blackburn HN, Ng K, Spiegelman D, Irwin ML, Ma X, Gross CP, Tabung FK, Giovannucci EL, Kunz PL, Llor X, Billingsley K, Meyerhardt JA, Ahuja N, Fuchs CS. Analysis of Survival Among Adults With Early-Onset Colorectal Cancer in the National Cancer Database. JAMA Network Open 2021, 4: e2112539. PMID: 34132794, PMCID: PMC8209612, DOI: 10.1001/jamanetworkopen.2021.12539.Peer-Reviewed Original ResearchConceptsEarly-onset colorectal cancerOnset colorectal cancerNational Cancer DatabaseColorectal cancerAge 51Overall survivalCancer DatabaseIncidence of CRCCox proportional hazards regressionPrimary colorectal cancerKaplan-Meier analysisProportional hazards regressionAge 50 yearsAge 25 yearsAnalysis of survivalCohort studySurvival benefitHazards regressionUnadjusted analysesCancer incidenceMAIN OUTCOMEAge 35Survival advantageLower riskStage IRegional Adoption of Commercial Gene Expression Testing for Prostate Cancer
Leapman MS, Wang R, Ma S, Gross CP, Ma X. Regional Adoption of Commercial Gene Expression Testing for Prostate Cancer. JAMA Oncology 2021, 7: 52-58. PMID: 33237277, PMCID: PMC7689565, DOI: 10.1001/jamaoncol.2020.6086.Peer-Reviewed Original ResearchConceptsProstate cancerCohort studyGenomic testingTissue-based genomic testsProportion of patientsDynamic cohort studyProstate cancer careProstate cancer screeningHospital referral region levelCommercial health insuranceGene expression testingEligible patientsMedian ageCancer careCancer screeningInclusion criteriaFindings highlight factorsHRR levelMAIN OUTCOMEAdministrative claimsGroup 2Group 1Medicare beneficiariesPatientsMedian household income
2020
Birth Characteristics and Risk of Pediatric Thyroid Cancer: A Population-Based Record-Linkage Study in California
Deziel N, Zhang Y, Wang R, Wiemels JL, Morimoto L, Clark CJ, Metayer C, Ma X. Birth Characteristics and Risk of Pediatric Thyroid Cancer: A Population-Based Record-Linkage Study in California. Thyroid 2020, 31: 596-606. PMID: 32912083, PMCID: PMC8195873, DOI: 10.1089/thy.2020.0217.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetBirth CertificatesBirth OrderBirth WeightCaliforniaCase-Control StudiesChildChild, PreschoolEducational StatusFemaleHispanic or LatinoHumansIncidenceInfantInfant, NewbornMaleRace FactorsRegistriesRisk AssessmentRisk FactorsSex FactorsThyroid NeoplasmsTime FactorsYoung AdultConceptsPediatric thyroid cancerHigh birth weightFollicular thyroid cancerThyroid cancerHigher birth orderBirth characteristicsRisk factorsHispanic ethnicityBirth weightOdds ratioFirst primary thyroid cancerPapillary thyroid cancer casesBirth orderMultivariable logistic regression modelSecond primary malignanciesLong-term therapyAdjusted odds ratioPopulation-based studyPrimary thyroid cancerRecord linkage studyConfidence intervalsImportant risk factorCancer registry dataCase-control studyThyroid cancer casesBirth Characteristics and Risk of Early-Onset Synovial Sarcoma
Wiemels JL, Wang R, Feng Q, Clark CJ, Amatruda JF, Rubin E, Yee AC, Morimoto LM, Metayer C, Ma X. Birth Characteristics and Risk of Early-Onset Synovial Sarcoma. Cancer Epidemiology Biomarkers & Prevention 2020, 29: 1162-1167. PMID: 32245786, PMCID: PMC7605594, DOI: 10.1158/1055-9965.epi-20-0093.Peer-Reviewed Original ResearchConceptsSynovial sarcomaBirth weightMultivariable logistic regression analysisEpidemiologic researchFurther epidemiologic researchLittle epidemiologic researchHigh birth weightSynovial sarcoma casesSiblings of patientsLogistic regression analysisBirth orderNon-Hispanic whitesYoung adult periodYear of birthElevated cancer incidencePoor outcomeBirth characteristicsPeak incidenceRare cancersRisk factorsCancer incidenceCancer casesAggressive cancerHigh riskSarcoma casesPatterns 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
Tobacco 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 modelsOddsParental age and the risk of childhood acute myeloid leukemia: results from the Childhood Leukemia International Consortium
Panagopoulou P, Skalkidou A, Marcotte E, Erdmann F, Ma X, Heck JE, Auvinen A, Mueller BA, Spector LG, Roman E, Metayer C, Magnani C, Pombo-de-Oliveira MS, Scheurer ME, Mora AM, Dockerty JD, Hansen J, Kang AY, Wang R, Doody DR, Kane E, Schüz J, Christodoulakis C, Ntzani E, Petridou ET, group F, group N. Parental age and the risk of childhood acute myeloid leukemia: results from the Childhood Leukemia International Consortium. Cancer Epidemiology 2019, 59: 158-165. PMID: 30776582, PMCID: PMC7098424, DOI: 10.1016/j.canep.2019.01.022.Peer-Reviewed Original ResearchConceptsChildhood Leukemia International ConsortiumAcute myeloid leukemiaAML riskOdds ratioMyeloid leukemiaParental ageChildhood acute myeloid leukemiaPaternal age groupsInfants of mothersConfidence intervalsAdvanced maternal ageMultiple logistic regressionPooled-effect estimatesInfant acute myeloid leukemiaMaternal smokingMultiple gestationsMaternal ageChildhood cancerAML casesAge groupsLogistic regressionStudy designAge incrementsOlder childrenAge