2019
Association between genetically predicted polycystic ovary syndrome and ovarian cancer: a Mendelian randomization study
Harris HR, Cushing-Haugen KL, Webb PM, Nagle CM, Jordan SJ, Group A, Risch H, Rossing M, Doherty J, Goodman M, Modugno F, Ness R, Moysich K, Kjær S, Høgdall E, Jensen A, Schildkraut J, Berchuck A, Cramer D, Bandera E, Rodriguez L, Wentzensen N, Kotsopoulos J, Narod S, McLaughlin J, Anton-Culver H, Ziogas A, Pearce C, Wu A, Lindström S, Terry K. Association between genetically predicted polycystic ovary syndrome and ovarian cancer: a Mendelian randomization study. International Journal Of Epidemiology 2019, 48: 822-830. PMID: 31211375, PMCID: PMC6659359, DOI: 10.1093/ije/dyz113.Peer-Reviewed Original ResearchConceptsPolycystic ovary syndromeOvarian cancer riskOvarian Cancer Association ConsortiumSelf-reported polycystic ovary syndromeInvasive ovarian cancerOvarian cancerCancer riskOvary syndromeInverse associationOral contraceptive useReproductive-aged womenBody mass indexSingle nucleotide polymorphismsStrong inverse associationComplex endocrine disorderObservational study resultsMendelian randomization studyEuropean ancestry womenEndometrioid tumorsMass indexDecreased riskEndocrine disordersSpecific histotypesContraceptive useAged women
2017
Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer
Kim SJ, Rosen B, Fan I, Ivanova A, McLaughlin JR, Risch H, Narod SA, Kotsopoulos J. Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer. British Journal Of Cancer 2017, 116: 964-971. PMID: 28208158, PMCID: PMC5379147, DOI: 10.1038/bjc.2017.35.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdenocarcinoma, MucinousAdultAgedCanadaCystadenocarcinoma, SerousEndometrial NeoplasmsEpidemiologic FactorsFemaleFollow-Up StudiesHormone Replacement TherapyHumansMiddle AgedNeoplasm InvasivenessNeoplasm StagingOvarian NeoplasmsParityPregnancyPrognosisReproductive HistoryYoung AdultConceptsOvarian cancer-specific mortalityCancer-specific mortalityHormone replacement therapyRisk of deathEpithelial ovarian cancerOvarian cancerHazard ratioEpidemiologic factorsOvulatory cyclesOvarian cancer-specific deathOvarian cancer-specific survivalInvasive epithelial ovarian cancerBMI 5 yearsCancer-specific survivalCancer-specific deathOntario Cancer RegistryProportional hazards regressionConfidence intervalsBorderline significant associationOvarian cancer developmentLong-term survivalGreater cumulative numberHRT useCancer RegistryHistologic subtype
2016
Long non-coding RNAs, ASAP1-IT1, FAM215A, and LINC00472, in epithelial ovarian cancer
Fu Y, Biglia N, Wang Z, Shen Y, Risch HA, Lu L, Canuto EM, Jia W, Katsaros D, Yu H. Long non-coding RNAs, ASAP1-IT1, FAM215A, and LINC00472, in epithelial ovarian cancer. Gynecologic Oncology 2016, 143: 642-649. PMID: 27667152, PMCID: PMC5507336, DOI: 10.1016/j.ygyno.2016.09.021.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdenocarcinoma, Clear CellAdultAgedAged, 80 and overCarcinoma, EndometrioidCarcinoma, Ovarian EpithelialHumansMiddle AgedNeoplasm GradingNeoplasm StagingNeoplasms, Cystic, Mucinous, and SerousNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisProportional Hazards ModelsReverse Transcriptase Polymerase Chain ReactionRNA, Long NoncodingYoung AdultConceptsEpithelial ovarian cancerOvarian cancerStage diseasePatient survivalGrade tumorsASAP1-IT1Survival associationsLong non-coding RNAsCox proportional hazards regression modelPrimary epithelial ovarian cancerProportional hazards regression modelsTumor samplesFresh frozen tumor samplesHigh expressionEarly-stage diseaseFavorable overall survivalLate-stage diseaseHazards regression modelsLow-grade tumorsHigh-grade tumorsOvarian cancer progressionNon-coding RNAsImportant biological actionsOverall survivalPoor prognosisAssessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer
Hampras SS, Sucheston-Campbell LE, Cannioto R, Chang-Claude J, Modugno F, Dörk T, Hillemanns P, Preus L, Knutson KL, Wallace PK, Hong CC, Friel G, Davis W, Nesline M, Pearce CL, Kelemen LE, Goodman MT, Bandera EV, Terry KL, Schoof N, Eng KH, Clay A, Singh PK, Joseph JM, Aben KK, Anton-Culver H, Antonenkova N, Baker H, Bean Y, Beckmann MW, Bisogna M, Bjorge L, Bogdanova N, Brinton LA, Brooks-Wilson A, Bruinsma F, Butzow R, Campbell IG, Carty K, Cook LS, Cramer DW, Cybulski C, Dansonka-Mieszkowska A, Dennis J, Despierre E, Dicks E, Doherty JA, du Bois A, Dürst M, Easton D, Eccles D, Edwards RP, Ekici AB, Fasching PA, Fridley BL, Gao YT, Gentry-Maharaj A, Giles GG, Glasspool R, Gronwald J, Harrington P, Harter P, Hasmad HN, Hein A, Heitz F, Hildebrandt MA, Hogdall C, Hogdall E, Hosono S, Iversen ES, Jakubowska A, Jensen A, Ji BT, Karlan BY, Kellar M, Kelley JL, Kiemeney LA, Klapdor R, Kolomeyevskaya N, Krakstad C, Kjaer SK, Kruszka B, Kupryjanczyk J, Lambrechts D, Lambrechts S, Le ND, Lee AW, Lele S, Leminen A, Lester J, Levine DA, Liang D, Lissowska J, Liu S, Lu K, Lubinski J, Lundvall L, Massuger LF, Matsuo K, McGuire V, McLaughlin JR, McNeish I, Menon U, Moes-Sosnowska J, Narod SA, Nedergaard L, Nevalinna H, Nickels S, Nevanlinna H, Olson S, Orlow I, Weber R, Paul J, Pejovic T, Pelttari L, Perkins B, Permuth-Wey J, Pike M, Plisiecka-Halasa J, Poole E, Risch H, Rossing M, Rothstein J, Rudolph A, Runnebaum I, Rzepecka I, Salvesen H, Schernhammer E, Schmitt K, Schwaab I, Shu X, Shvetsov Y, Siddiqui N, Sieh W, Song H, Southey M, Tangen I, Teo S, Thompson P, Timorek A, Tsai Y, Tworoger S, Tyrer J, van Altena A, Vergote I, Vierkant R, Walsh C, Wang-Gohrke S, Wentzensen N, Whittemore A, Wicklund K, Wilkens L, Wu A, Wu X, Woo Y, Yang H, Zheng W, Ziogas A, Gayther S, Ramus S, Sellers T, Schildkraut J, Phelan C, Berchuck A, Chenevix-Trench G, Cunningham J, Pharoah P, Ness R, Odunsi K, Goode E, Moysich K. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer. Oncotarget 2016, 7: 69097-69110. PMID: 27533245, PMCID: PMC5340115, DOI: 10.18632/oncotarget.10215.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdultAgedCarcinoma, Ovarian EpithelialFemaleGene Expression Regulation, NeoplasticGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMiddle AgedNeoplasms, Glandular and EpithelialOvarian NeoplasmsPolymorphism, Single NucleotideProtein Serine-Threonine KinasesReceptor, Transforming Growth Factor-beta Type IIReceptors, Transforming Growth Factor betaRisk FactorsT-Lymphocytes, RegulatoryConceptsOvarian cancerEpithelial ovarian cancer casesClear cell ovarian cancerClear cell EOCMediators of immunosuppressionSignificant global associationSubset of CD4Regulatory T cellsCell pathwaysOvarian cancer patientsOvarian cancer casesImmune complex receptorsGene-level associationsHistologic subtypeEOC patientsSignificant single SNP associationCancer patientsCancer casesT cellsT lymphocytesClear cellsImmune moleculesMRNA expressionCancerExpression levels
2015
Prognostic value of INPP4B protein immunohistochemistry in ovarian cancer.
Salmena L, Shaw P, Fans I, McLaughlin, Rosen B, Risch H, Mitchell C, Sun P, Narod SA, Kotsopoulos J. Prognostic value of INPP4B protein immunohistochemistry in ovarian cancer. European Journal Of Gynaecological Oncology 2015, 36: 260-7. PMID: 26189250.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdultAgedBiomarkers, TumorCarcinoma, EndometrioidCarcinoma, Ovarian EpithelialFemaleHumansImmunohistochemistryMiddle AgedNeoplasm StagingNeoplasms, Cystic, Mucinous, and SerousNeoplasms, Glandular and EpithelialOvarian NeoplasmsPhosphoric Monoester HydrolasesPrognosisProportional Hazards ModelsPTEN PhosphohydrolaseTumor Suppressor Protein p53Young AdultConceptsAberrant p53 expressionOvarian cancerP53 expressionHazard ratioLoss of PTENOvarian tumorsOvarian cancer tissue samplesEndometrioid ovarian tumorsProtein expressionSurvival hazard ratioEpithelial ovarian tumorsPoor disease outcomePossible prognostic roleProportional hazards modelCancer tissue samplesPrognostic roleEndometrioid tumorsEndometrioid subtypePrognostic valuePoor prognosisSerous subtypeProtein immunohistochemistryDisease outcomeTissue microarrayHazards model
2014
Risk Factors for Ovarian Cancers With and Without Microsatellite Instability
Segev Y, Pal T, Rosen B, McLaughlin JR, Sellers TA, Risch HA, Zhang S, Sun P, Narod SA, Schildkraut J. Risk Factors for Ovarian Cancers With and Without Microsatellite Instability. International Journal Of Gynecological Cancer 2014, 24: 664-669. PMID: 24755492, DOI: 10.1097/igc.0000000000000134.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdenocarcinoma, MucinousBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCanadaCystadenocarcinoma, SerousDNA, NeoplasmEndometrial NeoplasmsFemaleGenetic Predisposition to DiseaseHumansMicrosatellite InstabilityMicrosatellite RepeatsMiddle AgedMutationNeoplasm StagingOvarian NeoplasmsPrognosisRisk FactorsSyndromeUnited StatesConceptsOvarian cancer patientsOral contraceptive useBody mass indexEpithelial ovarian cancerOvarian cancerCancer patientsHistologic subtypeMass indexTubal ligationRisk factorsBRCA2 mutationsContraceptive usePast oral contraceptive usePrimary epithelial ovarian cancerOvarian cancer risk factorsBRCA1 mutationsNational Cancer Institute criteriaProtective factorsSpecific histologic subtypesCancer risk factorsPopulation-based studyMSI-high cancersCases of cancerMSI-high tumorsBRCA2 mutation status
2013
Risk Factors for Ovarian Cancers With and Without Microsatellite Instability
Segev Y, Pal T, Rosen B, McLaughlin JR, Sellers TA, Risch HA, Zhang S, Ping S, Narod SA, Schildkraut J. Risk Factors for Ovarian Cancers With and Without Microsatellite Instability. International Journal Of Gynecological Cancer 2013, 23: 1010. PMID: 23748177, PMCID: PMC3740723, DOI: 10.1097/igc.0b013e31829a5527.Peer-Reviewed Original ResearchConceptsOvarian cancer patientsOral contraceptive useBody mass indexEpithelial ovarian cancerOvarian cancerCancer patientsHistologic subtypeMass indexHistologic findingsTubal ligationRisk factorsContraceptive usePast oral contraceptive usePrimary epithelial ovarian cancerOvarian cancer risk factorsBRCA1 mutationsNational Cancer Institute criteriaProtective factorsDifferent histologic findingsSpecific histologic subtypesCancer risk factorsPopulation-based studyMSI-high cancersMSI-high tumorsBRCA2 mutation status
2011
Inherited Variants in Mitochondrial Biogenesis Genes May Influence Epithelial Ovarian Cancer Risk
Permuth-Wey J, Chen YA, Tsai YY, Chen Z, Qu X, Lancaster JM, Stockwell H, Dagne G, Iversen E, Risch H, Barnholtz-Sloan J, Cunningham JM, Vierkant RA, Fridley BL, Sutphen R, McLaughlin J, Narod SA, Goode EL, Schildkraut JM, Fenstermacher D, Phelan CM, Sellers TA. Inherited Variants in Mitochondrial Biogenesis Genes May Influence Epithelial Ovarian Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2011, 20: 1131-1145. PMID: 21447778, PMCID: PMC3111851, DOI: 10.1158/1055-9965.epi-10-1224.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdenocarcinoma, MucinousBasic-Leucine Zipper Transcription FactorsCalcium-Calmodulin-Dependent Protein Kinase Type 2Case-Control StudiesCystadenocarcinoma, SerousDNA, MitochondrialEndometrial NeoplasmsFemaleGenes, MitochondrialGenotypeHeat-Shock ProteinsHumansMiddle AgedMitochondrial ProteinsNF-E2-Related Factor 2Nuclear Respiratory Factor 1Ovarian NeoplasmsOxidative StressPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPolymorphism, Single NucleotideReceptors, EstrogenRisk FactorsTranscription FactorsConceptsMitochondrial biogenesis genesSingle nucleotide polymorphismsBiogenesis genesMitochondrial biogenesisSNP-level associationsOxidative phosphorylation pathwayEpithelial ovarian cancer susceptibilityMitochondrial-related genesGenes/regionsMitochondrial genomeOxidative stressPhosphorylation pathwayMTERFsSNP levelEOC susceptibilityGenesOvarian cancer susceptibilityNucleotide polymorphismsBiogenesisCancer susceptibilitySteroid hormone metabolismHormone metabolismEOC riskComplex mechanismsNongenetic factors