2019
Association Between Levels of Sex Hormones and Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus
Xie SH, Fang R, Huang M, Dai J, Thrift AP, Anderson LA, Chow WH, Bernstein L, Gammon MD, Risch HA, Shaheen NJ, Reid BJ, Wu AH, Iyer PG, Liu G, Corley DA, Whiteman DC, Caldas C, Pharoah PD, Hardie LJ, Fitzgerald RC, Shen H, Vaughan TL, Lagergren J. Association Between Levels of Sex Hormones and Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus. Clinical Gastroenterology And Hepatology 2019, 18: 2701-2709.e3. PMID: 31756444, PMCID: PMC7580878, DOI: 10.1016/j.cgh.2019.11.030.Peer-Reviewed Original ResearchConceptsRisk of BERisk of EACBarrett's esophagusMendelian randomization analysisSex hormonesOdds ratioRandomization analysisSex hormone-binding globulinSpecific sex hormonesFree androgen indexFollicle-stimulating hormoneHormone-binding globulinGenetic risk scoreAndrogen indexDecreased riskEsophageal adenocarcinomaRisk scoreEsophagusAbstractTextLogistic regressionHormoneClear associationControl participantsGenetic factorsWomen
2017
Breastfeeding and Endometrial Cancer Risk
Jordan SJ, Na R, Johnatty SE, Wise LA, Adami HO, Brinton LA, Chen C, Cook LS, Dal Maso L, De Vivo I, Freudenheim JL, Friedenreich CM, La Vecchia C, McCann SE, Moysich KB, Lu L, Olson SH, Palmer JR, Petruzella S, Pike MC, Rebbeck TR, Ricceri F, Risch HA, Sacerdote C, Setiawan VW, Sponholtz TR, Shu XO, Spurdle AB, Weiderpass E, Wentzensen N, Yang HP, Yu H, Webb PM. Breastfeeding and Endometrial Cancer Risk. Obstetrics And Gynecology 2017, 129: 1059-1067. PMID: 28486362, PMCID: PMC5473170, DOI: 10.1097/aog.0000000000002057.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskEndometrial cancerCancer riskOdds ratioStudy-specific odds ratiosEndometrial Cancer ConsortiumBody mass indexMultivariable logistic regressionConfidence intervalsCase-control studyMaternal benefitsNulliparous womenHistologic subtypeMass indexCommon cancerLower riskStudy heterogeneityCancer ConsortiumControl groupCancerLogistic regressionAverage durationLonger average durationWomenBreastfeedingCorrelation between germline mutations in MMR genes and microsatellite instability in ovarian cancer specimens
Akbari MR, Zhang S, Cragun D, Lee JH, Coppola D, McLaughlin J, Risch HA, Rosen B, Shaw P, Sellers TA, Schildkraut J, Narod SA, Pal T. Correlation between germline mutations in MMR genes and microsatellite instability in ovarian cancer specimens. Familial Cancer 2017, 16: 351-355. PMID: 28176205, DOI: 10.1007/s10689-017-9973-1.Peer-Reviewed Original ResearchConceptsOvarian cancer specimensOvarian cancerCancer specimensMicrosatellite instabilityGermline mutationsMMR mutationsMSI testingGermline MMR gene mutationsMMR genesPathogenic MMR mutationsMalignant ovarian cancerMMR gene mutationsPositive predictive valueMismatch repair genesMSI-positive cancersLynch syndromeMore microsatellite markersUnselected casesPredictive valuePatientsCancerPotential patientsGermline DNAGene mutationsWomen
2016
Menstrual and Reproductive Factors, Hormone Use, and Risk of Pancreatic Cancer
Lujan-Barroso L, Zhang W, Olson SH, Gao YT, Yu H, Baghurst PA, Bracci PM, Bueno-de-Mesquita H, Foretová L, Gallinger S, Holcatova I, Janout V, Ji BT, Kurtz RC, La Vecchia C, Lagiou P, Li D, Miller AB, Serraino D, Zatonski W, Risch HA, Duell EJ. Menstrual and Reproductive Factors, Hormone Use, and Risk of Pancreatic Cancer. Pancreas 2016, 45: 1401-1410. PMID: 27088489, PMCID: PMC5065728, DOI: 10.1097/mpa.0000000000000635.Peer-Reviewed Original ResearchConceptsHormone replacement therapyPancreatic cancerHRT useOdds ratioReproductive factorsInternational Pancreatic Cancer Case-Control ConsortiumRisk of PCLarge pooled analysisPancreatic Cancer Case-Control ConsortiumConfidence intervalsCase-control studySignificant inverse associationLogistic regression modelsPostmenopausal womenHormone useControl womenReplacement therapyPooled analysisInverse associationHysterectomyPooled estimatesRelevant covariatesExogenous hormonesWomenRiskRisk Prediction for Epithelial Ovarian Cancer in 11 United States–Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci
Clyde MA, Weber R, Iversen ES, Poole EM, Doherty JA, Goodman MT, Ness RB, Risch HA, Rossing MA, Terry KL, Wentzensen N, Whittemore AS, Anton-Culver H, Bandera EV, Berchuck A, Carney ME, Cramer DW, Cunningham JM, Cushing-Haugen KL, Edwards RP, Fridley BL, Goode EL, Lurie G, McGuire V, Modugno F, Moysich KB, Olson SH, Pearce CL, Pike MC, Rothstein JH, Sellers TA, Sieh W, Stram D, Thompson PJ, Vierkant RA, Wicklund KG, Wu AH, Ziogas A, Tworoger SS, Schildkraut JM. Risk Prediction for Epithelial Ovarian Cancer in 11 United States–Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci. American Journal Of Epidemiology 2016, 184: 579-589. PMID: 27698005, PMCID: PMC5065620, DOI: 10.1093/aje/kww091.Peer-Reviewed Original ResearchConceptsEpidemiologic risk factorsEpithelial ovarian cancerYears of ageRisk factorsAbsolute riskOvarian cancerInvasive epithelial ovarian cancerCase-control studyOvarian Cancer Association ConsortiumHierarchical logistic regression modelsRisk prediction modelLogistic regression modelsProspective data setSignificant single nucleotide polymorphismsCase-control statusControl studyRisk predictionSingle nucleotide polymorphismsAgeCancerLow discriminatory powerWomenAUCRegression modelsNucleotide polymorphismsChronic Recreational Physical Inactivity and Epithelial Ovarian Cancer Risk
Cannioto R, LaMonte M, Risch H, Hong C, Sucheston-Campbell L, Eng K, Szender J, Chang-Claude J, Schmalfeldt B, Klapdor R, Gower E, Minlikeeva A, Zirpoli G, Bandera E, Berchuck A, Cramer D, Doherty J, Edwards R, Fridley B, Goode E, Goodman M, Hogdall E, Hosono S, Jensen A, Jordan S, Kjaer S, Matsuo K, Ness R, Olsen C, Olson S, Pearce C, Pike M, Rossing M, Szamreta E, Thompson P, Tseng C, Vierkant R, Webb P, Wentzensen N, Wicklund K, Winham S, Wu A, Modugno F, Schildkraut J, Terry K, Kelemen L, Moysich K. Chronic Recreational Physical Inactivity and Epithelial Ovarian Cancer Risk. Obstetrical & Gynecological Survey 2016, 71: 528-530. DOI: 10.1097/ogx.0000000000000357.Peer-Reviewed Original ResearchAssociation Between Menopausal Estrogen-Only Therapy and Ovarian Carcinoma Risk
Lee A, Ness R, Roman L, Terry K, Schildkraut J, Chang-Claude J, Doherty J, Menon U, Cramer D, Gayther S, Risch H, Gentry-Maharaj A, Goodman M, Modugno F, Eilber U, Moysich K, Berchuck A, Rossing M, Jensen A, Wicklund K, Cushing-Haugen K, Hogdall E, Rudolph A, Thompson P, Wilkens L, Kjaer S, Carney M, Stram D, Ramus S, Wu A, Pike M, Pearce C. Association Between Menopausal Estrogen-Only Therapy and Ovarian Carcinoma Risk. Obstetrical & Gynecological Survey 2016, 71: 470-471. DOI: 10.1097/01.ogx.0000489579.62561.b8.Peer-Reviewed Original ResearchGWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer
Chen MM, O'Mara TA, Thompson DJ, Painter JN, Group T, Attia J, Black A, Brinton L, Chanock S, Chen C, Cheng T, Cook L, Crous-Bou M, Doherty J, Friedenreich C, Garcia-Closas M, Gaudet M, Gorman M, Haiman C, Hankinson S, Hartge P, Henderson B, Hodgson S, Holliday E, Horn-Ross P, Hunter D, Le Marchand L, Liang X, Lissowska J, Long J, Lu L, Magliocco A, Martin L, McEvoy M, Group S, Olson S, Orlow I, Pooler L, Prescott J, Rastogi R, Rebbeck T, Risch H, Sacerdote C, Schumacher F, Setiawan V, Scott R, Sheng X, Shu X, Turman C, Van Den Berg D, Wang Z, Weiss N, Wentzensen N, Xia L, Xiang Y, Yang H, Yu H, Zheng W, Pharoah P, Dunning A, Tomlinson I, Easton D, Kraft P, Spurdle A, De Vivo I. GWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer. Human Molecular Genetics 2016, 25: 2612-2620. PMID: 27008869, PMCID: PMC5868213, DOI: 10.1093/hmg/ddw092.Peer-Reviewed Original ResearchConceptsEndometrial cancerCommon gynecological malignancyMeta-analysis resultsGynecological malignanciesGenome-wide significanceGenetic predispositionWide association studyNew susceptibility lociGenetic susceptibilityGenetic riskCancerNew lociAssociation studiesEuropean ancestrySusceptibility lociWomen
2015
Joint Effect of Genotypic and Phenotypic Features of Reproductive Factors on Endometrial Cancer Risk
Wang Z, Risch H, Lu L, Irwin ML, Mayne S, Schwartz P, Rutherford T, De Vivo I, Yu H. Joint Effect of Genotypic and Phenotypic Features of Reproductive Factors on Endometrial Cancer Risk. Scientific Reports 2015, 5: 15582. PMID: 26498156, PMCID: PMC4620445, DOI: 10.1038/srep15582.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskEndometrial cancerCancer riskEstrogen exposureEndometrial cancer patientsTime of studyGenetic risk scorePotential confoundersCancer patientsMenstrual cycleReproductive factorsRisk scorePossible markerMajor causeCancerMenopauseObesityPhenotypic featuresRiskPopulation controlsAgeMenarcheWomenExposureTNMCNo clinical utility of KRAS variant rs61764370 for ovarian or breast cancer
Ovarian Cancer Association Consortium B, Hollestelle A, van der Baan FH, Berchuck A, Johnatty SE, Aben KK, Agnarsson BA, Aittomäki K, Alducci E, Andrulis IL, Anton-Culver H, Antonenkova NN, Antoniou AC, Apicella C, Arndt V, Arnold N, Arun BK, Arver B, Ashworth A, Group A, Baglietto L, Balleine R, Bandera EV, Barrowdale D, Bean YT, Beckmann L, Beckmann MW, Benitez J, Berger A, Berger R, Beuselinck B, Bisogna M, Bjorge L, Blomqvist C, Bogdanova NV, Bojesen A, Bojesen SE, Bolla MK, Bonanni B, Brand JS, Brauch H, Register B, Brenner H, Brinton L, Brooks-Wilson A, Bruinsma F, Brunet J, Brüning T, Budzilowska A, Bunker CH, Burwinkel B, Butzow R, Buys SS, Caligo MA, Campbell I, Carter J, Chang-Claude J, Chanock SJ, Claes KBM, Collée JM, Cook LS, Couch FJ, Cox A, Cramer D, Cross SS, Cunningham JM, Cybulski C, Czene K, Damiola F, Dansonka-Mieszkowska A, Darabi H, de la Hoya M, deFazio A, Dennis J, Devilee P, Dicks EM, Diez O, Doherty JA, Domchek SM, Dorfling CM, Dörk T, Dos Santos Silva I, du Bois A, Dumont M, Dunning AM, Duran M, Easton DF, Eccles D, Edwards RP, Ehrencrona H, Ejlertsen B, Ekici AB, Ellis SD, EMBRACE, Engel C, Eriksson M, Fasching PA, Feliubadalo L, Figueroa J, Flesch-Janys D, Fletcher O, Fontaine A, Fortuzzi S, Fostira F, Fridley BL, Friebel T, Friedman E, Friel G, Frost D, Garber J, García-Closas M, Gayther SA, Collaborators G, Network G, Gentry-Maharaj A, Gerdes AM, Giles GG, Glasspool R, Glendon G, Godwin AK, Goodman MT, Gore M, Greene MH, Grip M, Gronwald J, Kaulich D, Guénel P, Guzman SR, Haeberle L, Haiman CA, Hall P, Halverson SL, Hamann U, Hansen TVO, Harter P, Hartikainen JM, Healey S, HEBON, Hein A, Heitz F, Henderson BE, Herzog J, Hildebrandt M, Høgdall CK, Høgdall E, Hogervorst FBL, Hopper JL, Humphreys K, Huzarski T, Imyanitov EN, Isaacs C, Jakubowska A, Janavicius R, Jaworska K, Jensen A, Jensen UB, Johnson N, Jukkola-Vuorinen A, Kabisch M, Karlan BY, Kataja V, Kauff N, Investigators K, Kelemen LE, Kerin MJ, Kiemeney LA, Kjaer SK, Knight JA, Knol-Bout JP, Konstantopoulou I, Kosma VM, Krakstad C, Kristensen V, Kuchenbaecker KB, Kupryjanczyk J, Laitman Y, Lambrechts D, Lambrechts S, Larson MC, Lasa A, Laurent-Puig P, Lazaro C, Le ND, Le Marchand L, Leminen A, Lester J, Levine DA, Li J, Liang D, Lindblom A, Lindor N, Lissowska J, Long J, Lu KH, Lubinski J, Lundvall L, Lurie G, L. P, Mannermaa A, Margolin S, Mariette F, Marme F, Martens JWM, Massuger LFAG, Maugard C, Mazoyer S, McGuffog L, McGuire V, McLean C, McNeish I, Meindl A, Menegaux F, Menéndez P, Menkiszak J, Menon U, Mensenkamp AR, Miller N, Milne RL, Modugno F, Montagna M, Moysich KB, Müller H, Mulligan AM, Muranen TA, Narod SA, Nathanson KL, Ness RB, Neuhausen SL, Nevanlinna H, Neven P, Nielsen FC, Nielsen SF, Nordestgaard BG, Nussbaum RL, Odunsi K, Offit K, Olah E, Olopade OI, Olson JE, Olson SH, Oosterwijk JC, Orlow I, Orr N, Orsulic S, Osorio A, Ottini L, Paul J, Pearce CL, Pedersen IS, Peissel B, Pejovic T, Pelttari LM, Perkins J, Permuth-Wey J, Peterlongo P, Peto J, Phelan CM, Phillips KA, Piedmonte M, Pike MC, Platte R, Plisiecka-Halasa J, Poole EM, Poppe B, Pylkäs K, Radice P, Ramus SJ, Rebbeck TR, Reed MWR, Rennert G, Risch HA, Robson M, Rodriguez GC, Romero A, Rossing MA, Rothstein JH, Rudolph A, Runnebaum I, Salani R, Salvesen HB, Sawyer EJ, Schildkraut JM, Schmidt MK, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schrauder MG, Schumacher F, Schwaab I, Scuvera G, Sellers TA, Severi G, Seynaeve CM, Shah M, Shrubsole M, Siddiqui N, Sieh W, Simard J, Singer CF, Sinilnikova OM, Smeets D, Sohn C, Soller M, Song H, Soucy P, Southey MC, Stegmaier C, Stoppa-Lyonnet D, Sucheston L, SWE-BRCA, Swerdlow A, Tangen IL, Tea MK, Teixeira MR, Terry KL, Terry MB, Thomassen M, Thompson PJ, Tihomirova L, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Torres D, Truong T, Tsimiklis H, Tung N, Tworoger SS, Tyrer JP, Vachon CM, Van 't Veer LJ, van Altena AM, Van Asperen CJ, van den Berg D, van den Ouweland AMW, van Doorn HC, Van Nieuwenhuysen E, van Rensburg EJ, Vergote I, Verhoef S, Vierkant RA, Vijai J, Vitonis AF, von Wachenfeldt A, Walsh C, Wang Q, Wang-Gohrke S, Wappenschmidt B, Weischer M, Weitzel JN, Weltens C, Wentzensen N, Whittemore AS, Wilkens LR, Winqvist R, Wu AH, Wu X, Yang HP, Zaffaroni D, Zamora M, Zheng W, Ziogas A, Chenevix-Trench G, Pharoah PDP, Rookus MA, Hooning MJ, Goode EL. No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer. Gynecologic Oncology 2015, 141: 386-401. PMID: 25940428, PMCID: PMC4630206, DOI: 10.1016/j.ygyno.2015.04.034.Peer-Reviewed Original ResearchConceptsBreast cancer riskBreast cancerClinical outcomesOvarian cancerCancer riskClinical utilityBreast Cancer Association ConsortiumOvarian Cancer Association ConsortiumClinical genetic testingOverall survivalMutation carriersSurvival timeSuggested associationsCancerGenetic testingParticular subgroupRs61764370RiskAssociationOutcomesPrior studiesPatientsWomenSurvival in women with ovarian cancer with and without microsatellite instability.
Segev Y, Zhang S, Akbari MR, Sun P, Sellers TA, McLaughlin J, Risch HA, Rosen B, Shaw P, Schildkraut J, Narod SA, Pal T. Survival in women with ovarian cancer with and without microsatellite instability. European Journal Of Gynaecological Oncology 2015, 36: 681-4. PMID: 26775351.Peer-Reviewed Original ResearchConceptsPresence of MSIEpithelial ovarian cancerOvarian cancerMicrosatellite instabilityPrognostic factorsMSI statusNational Cancer Institute criteriaSpecific prognostic factorsPopulation-based studyOvarian cancer patientsHazard ratioPathologic featuresCancer patientsSubgroup analysisDefective mismatch repairSurvival differencesMulti-variate analysisCancerTumor samplesMSI markersSignificant differencesPatientsSurvivalWomenMismatch repair
2013
Preventing ovarian cancer through genetic testing: a population‐based study
Finch A, Bacopulos S, Rosen B, Fan I, Bradley L, Risch H, McLaughlin JR, Lerner‐Ellis J, Narod SA. Preventing ovarian cancer through genetic testing: a population‐based study. Clinical Genetics 2013, 86: 496-499. PMID: 24199689, DOI: 10.1111/cge.12313.Peer-Reviewed Original ResearchConceptsOvarian cancerGenetic testingGenetic testing criteriaInvasive ovarian cancerPopulation-based studyOvarian cancer patientsBRCA2 gene mutationsGenetic test resultsDevelopment of cancerCancer patientsBRCA2 mutationsMutation carriersUnselected casesEligibility criteriaCancerPatientsGene mutationsProvince of OntarioWomenPotential utilityPopulation levelBRCA1MutationsPPM1D Mutations in Circulating White Blood Cells and the Risk for Ovarian Cancer
Akbari MR, Lepage P, Rosen B, McLaughlin J, Risch H, Minden M, Narod SA. PPM1D Mutations in Circulating White Blood Cells and the Risk for Ovarian Cancer. Journal Of The National Cancer Institute 2013, 106: djt323. PMID: 24262437, DOI: 10.1093/jnci/djt323.Peer-Reviewed Original ResearchMeSH KeywordsAgedBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCanadaCase-Control StudiesFemaleGenetic Predisposition to DiseaseHeterozygoteHumansIncidenceLeukocytesMiddle AgedMutationOdds RatioOvarian NeoplasmsPhosphoprotein PhosphatasesProportional Hazards ModelsProtein Phosphatase 2CRisk AssessmentRisk FactorsConceptsCase patientsWhite blood cellsOvarian cancerControl subjectsOvarian cancer case patientsFemale first-degree relativesBlood cellsCancer case patientsFirst-degree relativesLifetime riskBreast cancerFamily historyMutation carriersPatientsCancerPast historyTruncating mutationsBreastRiskMutationsSubjectsCellsNoncarriersMortalityWomenLong-Term Ovarian Cancer Survival Associated With Mutation in BRCA1 or BRCA2
McLaughlin JR, Rosen B, Moody J, Pal T, Fan I, Shaw PA, Risch HA, Sellers TA, Sun P, Narod SA. Long-Term Ovarian Cancer Survival Associated With Mutation in BRCA1 or BRCA2. Journal Of The National Cancer Institute 2013, 105: 141-148. PMID: 23257159, PMCID: PMC3611851, DOI: 10.1093/jnci/djs494.Peer-Reviewed Original ResearchConceptsInvasive ovarian cancerOvarian cancerBRCA2 mutationsLong-term survival benefitOvarian cancer-specific survivalCancer-specific survivalOvarian cancer survivalSerous ovarian cancerShort-term survival advantageBRCA1 mutation carriersLong-term survivalHazard ratioSurvival benefitBetter prognosisUnselected womenBRCA2 carriersCancer survivalMutation carriersSurvival advantageSurvival analysisCancerDiagnosisTime pointsWomenSurvival
2012
Green tea drinking and risk of pancreatic cancer: A large-scale, population-based case–control study in urban Shanghai
Wang J, Zhang W, Sun L, Yu H, Ni QX, Risch HA, Gao YT. Green tea drinking and risk of pancreatic cancer: A large-scale, population-based case–control study in urban Shanghai. Cancer Epidemiology 2012, 36: e354-e358. PMID: 22944495, PMCID: PMC3490023, DOI: 10.1016/j.canep.2012.08.004.Peer-Reviewed Original ResearchConceptsPancreatic cancer riskGreen tea drinkingPopulation-based case-control studyCase-control studyPancreatic cancerCancer riskTea drinkingTea consumptionRegular tea drinkingRegular tea drinkersTea drinking habitsUrban ShanghaiHealthy controlsReduced riskEpidemiological studiesTea drinkersRegular drinkingDrinking habitsCancerInterview questionnaireLonger durationTea temperatureWomenDrinkingRisk
2011
Clinical impact of unclassified variants of the BRCA1 and BRCA2 genes
Akbari MR, Zhang S, Fan I, Royer R, Li S, Risch H, McLaughlin J, Rosen B, Sun P, Narod SA. Clinical impact of unclassified variants of the BRCA1 and BRCA2 genes. Journal Of Medical Genetics 2011, 48: 783. PMID: 21965345, DOI: 10.1136/jmedgenet-2011-100305.Peer-Reviewed Original ResearchConceptsFirst-degree relativesFemale first-degree relativesRelatives of patientsOvarian cancerCumulative riskPathogenic mutationsUnclassified variantsRisk of cancerHistorical cohortBRCA2 mutationsClinical impactHigh riskBRCA2 genesCancerUnknown significancePatientsMissense variantsFunctional effectsWomenRiskBRCA1PenetranceMutationsRelativesCohortFrequencies of BRCA1 and BRCA2 mutations among 1,342 unselected patients with invasive ovarian cancer
Zhang S, Royer R, Li S, McLaughlin JR, Rosen B, Risch HA, Fan I, Bradley L, Shaw PA, Narod SA. Frequencies of BRCA1 and BRCA2 mutations among 1,342 unselected patients with invasive ovarian cancer. Gynecologic Oncology 2011, 121: 353-357. PMID: 21324516, DOI: 10.1016/j.ygyno.2011.01.020.Peer-Reviewed Original ResearchConceptsInvasive ovarian cancerOvarian cancerFirst-degree relativesMultiplex ligation-dependent probe amplificationUnselected patientsBRCA2 mutationsNon-mucinous ovarian cancerGermline mutationsCombined mutation frequencyPopulation-based seriesOvarian cancer patientsCommon adult cancersSerous ovarian cancerPrevalence of mutationsFrequency of BRCA1Mucinous carcinomaCancer patientsAdult cancersLigation-dependent probe amplificationCancerGenetic testingPatientsWomenBreastBRCA1
2010
Pre- and post-diagnosis body mass index, weight change, and ovarian cancer mortality
Zhou Y, Irwin ML, Risch HA. Pre- and post-diagnosis body mass index, weight change, and ovarian cancer mortality. Gynecologic Oncology 2010, 120: 209-213. PMID: 21106231, PMCID: PMC3034401, DOI: 10.1016/j.ygyno.2010.10.035.Peer-Reviewed Original ResearchConceptsOvarian cancer mortalityCancer mortalityTime pointsWeight changeHigh riskPost-diagnosis body mass indexOvarian cancer-specific mortalityBMI 5 yearsCancer-specific mortalityInterview-administered questionnaireProportional hazards regressionBody mass indexEpithelial ovarian cancerCause mortalityHazards regressionMass indexSpecific mortalityOvarian cancerBMISurvival rateMortalityWeight gainDiagnosisStrong associationWomen
2008
Uptake of clinical genetic testing for ovarian cancer in Ontario: A population-based study
Metcalfe KA, Fan I, McLaughlin J, Risch HA, Rosen B, Murphy J, Bradley L, Armel S, Sun P, Narod SA. Uptake of clinical genetic testing for ovarian cancer in Ontario: A population-based study. Gynecologic Oncology 2008, 112: 68-72. PMID: 19019415, PMCID: PMC3074978, DOI: 10.1016/j.ygyno.2008.10.007.Peer-Reviewed Original ResearchConceptsInvasive ovarian cancerClinical genetic testingOvarian cancerGenetic testingGenetic test resultsBlood samplesPositive genetic test resultOntario Cancer RegistryPopulation-based studyEpithelial ovarian cancerProportion of womenCancer RegistryRisk factorsBRCA2 mutationsClinical testingCancerWomenBRCA2BRCA1Small proportionPrevious testingMutationsPatientsTestingRegistry
2007
Reproductive risk factors for ovarian cancer in carriers of BRCA1 or BRCA2 mutations: a case-control study
McLaughlin JR, Risch HA, Lubinski J, Moller P, Ghadirian P, Lynch H, Karlan B, Fishman D, Rosen B, Neuhausen SL, Offit K, Kauff N, Domchek S, Tung N, Friedman E, Foulkes W, Sun P, Narod SA, Group O. Reproductive risk factors for ovarian cancer in carriers of BRCA1 or BRCA2 mutations: a case-control study. The Lancet Oncology 2007, 8: 26-34. PMID: 17196508, DOI: 10.1016/s1470-2045(06)70983-4.Peer-Reviewed Original ResearchConceptsInvasive ovarian cancerCarriers of BRCA1Case-control studyOral contraceptivesOvarian cancerBRCA2 mutationsTubal ligationRisk factorsBRCA1 mutationsReproductive risk factorsPopulation-based studyOvarian cancer riskPossible adverse effectsYear of birthInternational registryMenstrual cycleOdds ratioBreast cancerMutation carriersReproductive historyContraceptivesBRCA2 genesCancerAdverse effectsWomen