2019
Mendelian randomization provides support for obesity as a risk factor for meningioma
Takahashi H, Cornish AJ, Sud A, Law PJ, Disney-Hogg L, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Schildkraut JM, Simon M, Bondy M, Wrensch M, Wiemels JL, Claus EB, Turnbull C, Houlston RS. Mendelian randomization provides support for obesity as a risk factor for meningioma. Scientific Reports 2019, 9: 309. PMID: 30670737, PMCID: PMC6343031, DOI: 10.1038/s41598-018-36186-6.Peer-Reviewed Original ResearchConceptsRisk of meningiomaMeningioma riskObesity-related traitsLipoprotein cholesterolBlood pressureRisk factorsOdds ratioLow-density lipoprotein cholesterolHigh-density lipoprotein cholesterolMendelian randomizationCause of meningiomaGenetic instrumentsDiastolic blood pressureEpidemiological observational studiesSystolic blood pressureBody mass indexBody fat percentageWaist circumferenceTotal cholesterolMass indexObservational studyMeningioma patientsMeningiomasBasal metabolic rateObesity
2018
Genome-wide association analysis identifies a meningioma risk locus at 11p15.5
Claus EB, Cornish AJ, Broderick P, Schildkraut JM, Dobbins SE, Holroyd A, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Swerdlow A, Larsen SB, Johansen C, Simon M, Bondy M, Wrensch M, Houlston RS, Wiemels JL. Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro-Oncology 2018, 20: 1485-1493. PMID: 29762745, PMCID: PMC6176799, DOI: 10.1093/neuonc/noy077.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCase-Control StudiesChromosomes, Human, Pair 11FemaleFollow-Up StudiesGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumMaleMeningeal NeoplasmsMeningiomaMiddle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsYoung AdultConceptsGenome-wide association studiesRisk lociGenome-wide association analysisSusceptibility lociNeural crest-derived structuresSignificant heritable basisNumber of genesIndependent sample seriesNew susceptibility lociHeritable basisGenetic basisGenome ProjectAssociation studiesAssociation analysisLinkage disequilibriumLociMeningioma developmentReference panelPolygenic modelCentral roleUK10K dataAdult brain tumorsRIC8AMeningeal coveringsGenes
2012
Exogenous hormone use, reproductive factors, and risk of intracranial meningioma in females.
Claus EB, Calvocoressi L, Bondy ML, Wrensch M, Wiemels JL, Schildkraut JM. Exogenous hormone use, reproductive factors, and risk of intracranial meningioma in females. Journal Of Neurosurgery 2012, 118: 649-56. PMID: 23101448, PMCID: PMC3756881, DOI: 10.3171/2012.9.jns12811.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge of OnsetAgedBody Mass IndexBreast FeedingConnecticutContraceptives, OralEstrogen Replacement TherapyFemaleHumansMassachusettsMenarcheMeningeal NeoplasmsMeningiomaMenopauseMiddle AgedMultivariate AnalysisNorth CarolinaOdds RatioParityRegistriesReproductive HistoryRisk AssessmentRisk FactorsSan FranciscoSmokingTexasConceptsBody mass indexMeningioma riskMass indexIntracranial meningiomasExogenous hormone useHormone replacement therapyRisk of meningiomaYears of ageCurrent useResidents of ConnecticutHormone medicationWomen 29Postmenopausal womenPremenopausal womenCurrent smokingFertility medicationsOral contraceptivesHormone useMenstrual factorsSignificant positive associationCigarette smokingReplacement therapyRisk factorsReproductive factorsSignificant elevationCigarette Smoking and Risk of Meningioma: The Effect of Gender
Claus EB, Walsh KM, Calvocoressi L, Bondy ML, Schildkraut JM, Wrensch M, Wiemels JL. Cigarette Smoking and Risk of Meningioma: The Effect of Gender. Cancer Epidemiology Biomarkers & Prevention 2012, 21: 943-950. PMID: 22473761, PMCID: PMC3613227, DOI: 10.1158/1055-9965.epi-11-1059.Peer-Reviewed Original ResearchConceptsCigarette smokingIntracranial meningiomasCase-control studyRisk of meningiomaDuration of useEffect of genderPast smokersMenopausal statusHormonal etiologyFemale casesMale casesMeningioma riskReduced riskElevated riskMeningioma casesSmokingCase statusGreater riskSimilar findingsMeningiomasRiskAdditional investigationNumber of studiesInconsistent findingsWomenDental x‐rays and risk of meningioma
Claus EB, Calvocoressi L, Bondy ML, Schildkraut JM, Wiemels JL, Wrensch M. Dental x‐rays and risk of meningioma. Cancer 2012, 118: 4530-4537. PMID: 22492363, PMCID: PMC3396782, DOI: 10.1002/cncr.26625.Peer-Reviewed Original ResearchConceptsRisk of meningiomaDental X-raysModifiable risk factorsIntracranial meningiomasRisk factorsAge 20Population-based case-control studyMain outcome measuresPrimary brain tumorsCase-control studyGreater frequencyPanorex filmsTumor locationBitewing examinationOutcome measuresElevated riskBrain tumorsControl groupMeningiomasYounger ageRadiation exposureAge 10AgePatientsRisk
2011
Family and personal medical history and risk of meningioma.
Claus EB, Calvocoressi L, Bondy ML, Schildkraut JM, Wiemels JL, Wrensch M. Family and personal medical history and risk of meningioma. Journal Of Neurosurgery 2011, 115: 1072-7. PMID: 21780859, PMCID: PMC3241000, DOI: 10.3171/2011.6.jns11129.Peer-Reviewed Original ResearchConceptsFirst-degree family historyPersonal medical historyMedical historyFamily historyMeningioma riskEpidemiology of meningiomaPrimary brain tumorsCase-control studyRisk of meningiomaUterine fibroid tumorsImmune conditionsThyroid cancerYoungest caseBreast cancerRole of hormonesBrain tumorsFibroid tumorsImmune systemControl individualsPatientsMeningiomasInfluence of geneticsStrong associationFurther studiesTumors
2007
Exogenous hormone use and meningioma risk
Claus EB, Black PM, Bondy ML, Calvocoressi L, Schildkraut JM, Wiemels JL, Wrensch M. Exogenous hormone use and meningioma risk. Cancer 2007, 110: 471-476. PMID: 17580362, DOI: 10.1002/cncr.22783.Peer-Reviewed Original ResearchConceptsCase-control studyExogenous hormone useHormone replacement therapyMeningioma riskOral contraceptivesHormone useReplacement therapyHospital-based case-control studyPopulation-based case-control studyRandomized clinical trial dataTumor receptor subtypeRetrospective cohort studyCommon clinical questionsLarge national cohortRisk of meningiomaClinical trial dataEnglish-language literatureCohort studyNational cohortReceptor subtypesClinical questionsIntracranial meningiomasTrial dataFurther evaluationExogenous hormones
2005
Applying Recursive Partitioning to a Prospective Study of Factors Associated with Adherence to Mammography Screening Guidelines
Calvocoressi L, Stolar M, Kasl SV, Claus EB, Jones BA. Applying Recursive Partitioning to a Prospective Study of Factors Associated with Adherence to Mammography Screening Guidelines. American Journal Of Epidemiology 2005, 162: 1215-1224. PMID: 16221800, DOI: 10.1093/aje/kwi337.Peer-Reviewed Original ResearchConceptsMammography screening guidelinesScreening guidelinesProspective studyHealth care provider recommendationSubgroup of womenHistory of adherenceBreast cancer susceptibilityNovel intervention strategiesRecursive partitioningAdherent subgroupAnnual family incomeProvider recommendationScreening behaviorWhite womenCancer susceptibilityAdherenceWomenCandidate predictorsIntervention strategiesSubgroupsPredictorsInitial screeningFamily incomeMost adherentGuidelinesInadequate Follow-up of Abnormal Screening Mammograms: Findings From the Race Differences in Screening Mammography Process Study (United States)
Jones BA, Dailey A, Calvocoressi L, Reams K, Kasl SV, Lee C, Hsu H. Inadequate Follow-up of Abnormal Screening Mammograms: Findings From the Race Differences in Screening Mammography Process Study (United States). Cancer Causes & Control 2005, 16: 809-821. PMID: 16132791, DOI: 10.1007/s10552-005-2905-7.Peer-Reviewed Original ResearchConceptsRace/ethnicityIndependent predictorsObserved race differencesHigh mammography screening ratesAfrican American race/ethnicityProspective cohort studyMammography screening ratesMultivariate logistic regressionSignificant independent predictorsBreast cancer stageAbnormal screening mammogramAfrican American womenRace differencesHospital-based facilitiesCohort studyScreening ratesUsual providerAbnormal resultsCancer stageFollow-upAbnormal examsMammography screeningAbnormal mammogramsScreening mammogramsLogistic regression
2004
A Prospective Study of Perceived Susceptibility to Breast Cancer and Nonadherence to Mammography Screening Guidelines in African American and White Women Ages 40 to 79 Years
Calvocoressi L, Kasl SV, Lee CH, Stolar M, Claus EB, Jones BA. A Prospective Study of Perceived Susceptibility to Breast Cancer and Nonadherence to Mammography Screening Guidelines in African American and White Women Ages 40 to 79 Years. Cancer Epidemiology Biomarkers & Prevention 2004, 13: 2096-2105. PMID: 15598767, DOI: 10.1158/1055-9965.2096.13.12.Peer-Reviewed Original ResearchConceptsMammography screening guidelinesScreening guidelinesBreast cancerProspective studyFamily breast cancer historyWomen age 40Breast cancer historyScreening examinationCancer historyMammography screeningStudy populationAge 40Older womenUrban hospitalIndex examSubsequent adherenceTelephone interviewsPerceived susceptibilityWhite womenCancerMultiple covariatesWomenIndex screeningNonadherenceMonths