2024
Understanding risk factors for endometrial cancer in young women
Peeri N, Bertrand K, Na R, De Vivo I, Setiawan V, Seshan V, Alemany L, Chen Y, Clarke M, Clendenen T, Cook L, Costas L, Dal Maso L, Freudenheim J, Friedenreich C, Gierach G, Goodman M, La Vecchia C, Levi F, Lopez-Querol M, Lu L, Moysich K, Mutter G, Naduparambil J, Negri E, O’Connell K, O’Mara T, Palmer J, Parazzini F, Penney K, Petruzella S, Reynolds P, Ricceri F, Risch H, Rohan T, Sacerdote C, Sandin S, Shu X, Stolzenberg-Solomon R, Webb P, Wentzensen N, Wilkens L, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Guo X, Lipworth L, Du M. Understanding risk factors for endometrial cancer in young women. Journal Of The National Cancer Institute 2024, djae210. PMID: 39235934, DOI: 10.1093/jnci/djae210.Peer-Reviewed Original ResearchRisk factorsEpidemiology of Endometrial Cancer ConsortiumEC riskOdds ratioOlder womenAverage risk womenKnowledge of risk factorsConfidence intervalsPopulation attributable fractionEstimate odds ratiosInverse association with ageYoung womenAmerican Cancer SocietyAssociated with reduced riskIncreased riskEndometrial cancerUnderstanding risk factorsEC risk factorsOral contraceptive useAttributable fractionRisk womenCurrent smokingCancer ConsortiumCancer SocietyAssociated with ageA Systematic REVIEW of Autopsy findings in deaths after covid-19 vaccination
Hulscher N, Alexander P, Amerling R, Gessling H, Hodkinson R, Makis W, Risch H, Trozzi M, McCullough P. A Systematic REVIEW of Autopsy findings in deaths after covid-19 vaccination. Forensic Science International 2024, 112115. PMID: 39120477, DOI: 10.1016/j.forsciint.2024.112115.Peer-Reviewed Original ResearchGenome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.
Ni Z, Kundu P, McKean D, Wheeler W, Albanes D, Andreotti G, Antwi S, Arslan A, Bamlet W, Beane-Freeman L, Berndt S, Bracci P, Brennan P, Buring J, Chanock S, Gallinger S, Gaziano J, Giles G, Giovannucci E, Goggins M, Goodman P, Haiman C, Hassan M, Holly E, Hung R, Katzke V, Kooperberg C, Kraft P, LeMarchand L, Li D, McCullough M, Milne R, Moore S, Neale R, Oberg A, Patel A, Peters U, Rabe K, Risch H, Shu X, Smith-Byrne K, Visvanathan K, Wactawski-Wende J, White E, Wolpin B, Yu H, Zeleniuch-Jacquotte A, Zheng W, Zhong J, Amundadottir L, Stolzenberg-Solomon R, Klein A. Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1229-1239. PMID: 38869494, DOI: 10.1158/1055-9965.epi-24-0096.Peer-Reviewed Original ResearchConceptsPancreatic cancer riskHeavy alcohol consumptionCancer riskSingle-nucleotide polymorphismsAlcohol consumptionExpression quantitative trait lociQuantitative trait lociAssociated with pancreatic cancer riskGenome-wide interaction analysisGenome-wide significant evidenceEtiology of pancreatic cancerFixed-effect meta-analysesGenomic regionsGenome-wide significant evidence of associationLead single-nucleotide polymorphismsTrait lociGenetic variantsEuropean ancestry populationsEvidence of associationGenome-wide association studiesAnalysis of single-nucleotide polymorphismsCase-control studyPancreatic cancerGenome-wide analysisAncestry populationsIntegrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions
Dareng E, Coetzee S, Tyrer J, Peng P, Rosenow W, Chen S, Davis B, Dezem F, Seo J, Nameki R, Reyes A, Aben K, Anton-Culver H, Antonenkova N, Aravantinos G, Bandera E, Freeman L, Beckmann M, Beeghly-Fadiel A, Benitez J, Bernardini M, Bjorge L, Black A, Bogdanova N, Bolton K, Brenton J, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock S, Chen K, Chenevix-Trench G, Group A, Chiew Y, Cook L, DeFazio A, Dennis J, Doherty J, Dörk T, du Bois A, Dürst M, Eccles D, Ene G, Fasching P, Flanagan J, Fortner R, Fostira F, Gentry-Maharaj A, Giles G, Goodman M, Gronwald J, Haiman C, Håkansson N, Heitz F, Hildebrandt M, Høgdall E, Høgdall C, Huang R, Jensen A, Jones M, Kang D, Karlan B, Karnezis A, Kelemen L, Kennedy C, Khusnutdinova E, Kiemeney L, Kjaer S, Kupryjanczyk J, Labrie M, Lambrechts D, Larson M, Le N, Lester J, Li L, Lubiński J, Lush M, Marks J, Matsuo K, May T, McLaughlin J, McNeish I, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro A, Moysich K, Narod S, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret N, Park S, Pejovic T, Permuth J, Piskorz A, Prokofyeva D, Riggan M, Risch H, Rodríguez-Antona C, Rossing M, Sandler D, Setiawan V, Shan K, Song H, Southey M, Steed H, Sutphen R, Swerdlow A, Teo S, Terry K, Thompson P, Thomsen L, Titus L, Trabert B, Travis R, Tworoger S, Valen E, Van Nieuwenhuysen E, Edwards D, Vierkant R, Webb P, Group O, Weinberg C, Weise R, Wentzensen N, White E, Winham S, Wolk A, Woo Y, Wu A, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode E, Huntsman D, Pearce C, Ramus S, Sellers T, Consortium T, Freedman M, Lawrenson K, Schildkraut J, Hazelett D, Plummer J, Kar S, Jones M, Pharoah P, Gayther S. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. American Journal Of Human Genetics 2024, 111: 1061-1083. PMID: 38723632, PMCID: PMC11179261, DOI: 10.1016/j.ajhg.2024.04.011.Peer-Reviewed Original ResearchTranscriptome-wide association studyRisk lociAssociation studiesTranscription factor ChIP-seqSusceptibility genesGenome-wide association analysisGenome-wide association studiesCausal risk variantsControls of European originTranscriptome-wide associationEpithelial ovarian cancerVariant Effect PredictorIntegrative multi-omics analysisMulti-omics analysisChIP-seqChromatin marksGenomic regionsFine-mappingSusceptibility lociInteractome analysisAssociation analysisEpithelial ovarian cancer histotypesRisk variantsTissue-specificLociHypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2)
Habeshian T, Peeri N, De Vivo I, Schouten L, Shu X, Cote M, Bertrand K, Chen Y, Clarke M, Clendenen T, Cook L, Costas L, Dal Maso L, Freudenheim J, Friedenreich C, Gallagher G, Gierach G, Goodman M, Jordan S, La Vecchia C, Lacey J, Levi F, Liao L, Lipworth L, Lu L, Matias-Guiu X, Moysich K, Mutter G, Na R, Naduparambil J, Negri E, O'Connell K, O'Mara T, Hernández I, Palmer J, Parazzini F, Patel A, Penney K, Prizment A, Ricceri F, Risch H, Sacerdote C, Sandin S, Stolzenberg-Solomon R, van den Brandt P, Webb P, Wentzensen N, Wijayabahu A, Wilkens L, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Du M, Setiawan V. Hypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2). Cancer Epidemiology Biomarkers & Prevention 2024, 33: 788-795. PMID: 38530242, PMCID: PMC11145161, DOI: 10.1158/1055-9965.epi-23-1444.Peer-Reviewed Original ResearchConceptsEpidemiology of Endometrial Cancer ConsortiumRisk of endometrial cancerComponents of metabolic syndromeCancer ConsortiumRisk factorsAssociated with endometrial cancer riskIncidence rates of endometrial cancerMultivariable unconditional logistic regression modelStronger magnitude of associationEtiology of endometrial cancerStudy designUnconditional logistic regression modelsIncreased risk of endometrial cancerEndometrial cancer riskRates of endometrial cancerUsers of postmenopausal hormone therapyConfidence intervalsRising prevalence of obesityPrevalence of obesityEndometrial cancerMagnitude of associationEndometrial cancer casesMetabolic syndromeBody mass indexLogistic regression modelsDetection of hepatocellular carcinoma methylation markers in salivary DNA
Mezzacappa C, Wang Z, Lu L, Risch H, Taddei T, Yu H. Detection of hepatocellular carcinoma methylation markers in salivary DNA. Bioscience Reports 2024, 44: bsr20232063. PMID: 38457142, PMCID: PMC10958141, DOI: 10.1042/bsr20232063.Peer-Reviewed Original ResearchHepatocellular carcinoma screeningCase patientsHepatocellular carcinomaControl subjectsDiagnosis of hepatocellular carcinomaAssociated with hepatocellular carcinomaScreening testSalivary DNASaliva-based testCpG sitesStudy of risk factorsSalivary DNA methylationDNA methylationViral hepatitisCirculating DNAAlterations to DNA methylationRisk factorsMethylation markersPatientsRegulation of cell cycle progressionBlood samplesCell cycle progressionAffected individualsAlternative to blood samplingMultiple comparisonsImpact of Pre-Diagnostic Risk Factors on Short- and Long-Term Ovarian Cancer Survival Trajectories: A Longitudinal Observational Study
Kim S, Tworoger S, Rosen B, McLaughlin J, Risch H, Narod S, Kotsopoulos J. Impact of Pre-Diagnostic Risk Factors on Short- and Long-Term Ovarian Cancer Survival Trajectories: A Longitudinal Observational Study. Cancers 2024, 16: 972. PMID: 38473333, PMCID: PMC11154316, DOI: 10.3390/cancers16050972.Peer-Reviewed Original ResearchOvarian cancer-specific mortalityLongitudinal observational studyAll-cause mortalityCancer-specific mortalityPredictor of ovarian cancer survivalRisk factorsPopulation-based longitudinal observational studyRisk of all-cause mortalityProvincial cancer registryObservational studySurvival trajectoriesInvasive epithelial ovarian cancerHistory of breastfeedingOvarian cancer survivalExtended Cox proportional hazards modelsCox proportional hazards modelsPredictor of all-cause mortalityCancer RegistryAssociated with long-term overall survivalProportional hazards modelLifestyle factorsAll-causeCancer survivalDiagnosis of ovarian cancerOverall survival
2023
Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
Wang Z, Katsaros D, Wang J, Biglio N, Hernandez B, Fei P, Lu L, Risch H, Yu H. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival. Scientific Reports 2023, 13: 18962. PMID: 37923775, PMCID: PMC10624674, DOI: 10.1038/s41598-023-45932-4.Peer-Reviewed Original ResearchConceptsImmune cell clustersT cellsHost immunityImmune cellsUnsupervised hierarchical clusteringImmune responseCD8-positive T cellsMemory CD4 T cellsCox regression survival analysisRegulatory T cellsPositive T cellsCD4 T cellsDifferent immune cellsDistinct immune responsesBreast cancer survivalImmune cell subtypesMemory B cellsImmune cell typesRegression survival analysisCell clustersBreast cancer progressionT cell receptor signalingCytokine stormOverall survivalFavorable survivalNight shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2)
Frias-Gomez J, Alemany L, Benavente Y, Clarke M, de Francisco J, De Vivo I, Du M, Goodman M, Lacey J, Liao L, Lipworth L, Lu L, Merritt M, Michels K, O'Connell K, Paytubi S, Pelegrina B, Peremiquel-Trillas P, Petruzella S, Ponce J, Risch H, Setiawan V, Schouten L, Shu X, Trabert B, Van den Brandt P, Wentzensen N, Wilkens L, Yu H, Costas L. Night shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2). Sleep Medicine Reviews 2023, 72: 101848. PMID: 37716022, PMCID: PMC10840870, DOI: 10.1016/j.smrv.2023.101848.Peer-Reviewed Original ResearchConceptsNight shift workEndometrial Cancer ConsortiumEndometrial cancer riskEndometrial cancerSleep durationShift workPostmenopausal womenPooled analysisInverse associationOdds ratioCancer riskCancer ConsortiumNon-significant inverse associationStudy-specific odds ratiosEndometrial cancer casesStrong risk factorConfidence intervalsLong sleep durationDaily sleep durationObese womenRisk factorsCancer casesLogistic regressionIndividual dataCancerPlausibility, not science, has dominated public discussions of the COVID pandemic
Risch H. Plausibility, not science, has dominated public discussions of the COVID pandemic. American Journal Of Economics And Sociology 2023, 82: 411-424. DOI: 10.1111/ajes.12539.Peer-Reviewed Original ResearchGenetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization.
King S, Veliginti S, Brouwers M, Ren Z, Zheng W, Setiawan V, Wilkens L, Shu X, Arslan A, Beane Freeman L, Bracci P, Canzian F, Du M, Gallinger S, Giles G, Goodman P, Haiman C, Kogevinas M, Kooperberg C, LeMarchand L, Neale R, Visvanathan K, White E, Albanes D, Andreotti G, Babic A, Berndt S, Brais L, Brennan P, Buring J, Rabe K, Bamlet W, Chanock S, Fuchs C, Gaziano J, Giovannucci E, Hackert T, Hassan M, Katzke V, Kurtz R, Lee I, Malats N, Murphy N, Oberg A, Orlow I, Porta M, Real F, Rothman N, Sesso H, Silverman D, Thompson I, Wactawski-Wende J, Wang X, Wentzensen N, Yu H, Zeleniuch-Jacquotte A, Yu K, Wolpin B, Duell E, Li D, Hung R, Perdomo S, McCullough M, Freedman N, Patel A, Peters U, Riboli E, Sund M, Tjønneland A, Zhong J, Van Den Eeden S, Kraft P, Risch H, Amundadottir L, Klein A, Stolzenberg-Solomon R, Antwi S. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 1265-1269. PMID: 37351909, PMCID: PMC10529823, DOI: 10.1158/1055-9965.epi-23-0453.Peer-Reviewed Original ResearchConceptsNonalcoholic fatty liver diseasePancreatic cancer riskFatty liver diseasePancreatic cancerCancer riskLiver diseaseGenetic predispositionMendelian randomizationPancreatic Cancer Case-Control ConsortiumConfidence intervalsPancreatic Cancer Cohort ConsortiumPC risk factorsMR methodsRisk factorsGenome-wide association studiesGenetic susceptibilityLogistic regressionCancerMetabolic perturbationsMetabolic conditionsRiskDiseaseGenetic variantsAssociationPredispositionRelationship between ABO Blood Group Alleles and Pancreatic Cancer Is Modulated by Secretor (FUT2) Genotype, but Not Lewis Antigen (FUT3) Genotype.
Kim J, Yuan C, Amundadottir L, Wolpin B, Klein A, Risch H, Kraft P. Relationship between ABO Blood Group Alleles and Pancreatic Cancer Is Modulated by Secretor (FUT2) Genotype, but Not Lewis Antigen (FUT3) Genotype. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 1242-1248. PMID: 37342060, PMCID: PMC10527950, DOI: 10.1158/1055-9965.epi-23-0009.Peer-Reviewed Original ResearchConceptsNon-O blood typeABO blood groupSecretor statusBlood typeBlood groupNon-O blood groupMultivariable logistic regressionConfidence intervalsPancreatic cancer riskO blood typeABO blood typeABO blood group allelesPancreatic ductal adenocarcinoma (PDAC) riskAdenocarcinoma riskAntigen genotypesPancreatic cancerEffect modificationSecretor genotypesCancer riskPDAC riskCancer ConsortiumBlood group allelesLogistic regressionLewis antigensWestern populationsRandomized trial of exercise on cancer‐related blood biomarkers and survival in women with ovarian cancer
Cartmel B, Li F, Zhou Y, Gottlieb L, Lu L, Mszar R, Harrigan M, Ligibel J, Gogoi R, Schwartz P, Risch H, Irwin M. Randomized trial of exercise on cancer‐related blood biomarkers and survival in women with ovarian cancer. Cancer Medicine 2023, 12: 15492-15503. PMID: 37269192, PMCID: PMC10417064, DOI: 10.1002/cam4.6187.Peer-Reviewed Original ResearchConceptsExercise interventionOvarian cancerTrial of exerciseExercise-induced changesMin/weekGroup differencesSubset of participantsCause mortalityExercise groupOverall survivalStudy armsCA 125Randomized trialsBlood biomarkersBlood drawBreast cancerClinical significanceIGF-1Effect model analysisSecondary analysisBeneficial effectsCancerBiomarkersTrialsWomenFolate Intake and Ovarian Cancer Risk among Women with Endometriosis: A Case–Control Study from the Ovarian Cancer Association Consortium
Gersekowski K, Ibiebele T, Group F, Doherty J, Harris H, Goodman M, Terry K, Wu A, Bandera E, Qin B, Ong J, Tyrer J, Dixon-Suen S, Modugno F, Risch H, Webb P. Folate Intake and Ovarian Cancer Risk among Women with Endometriosis: A Case–Control Study from the Ovarian Cancer Association Consortium. Cancer Epidemiology Biomarkers & Prevention 2023, 32: of1-of10. PMID: 37220873, PMCID: PMC10390886, DOI: 10.1158/1055-9965.epi-23-0121.Peer-Reviewed Original ResearchConceptsOvarian cancer riskHigh dietary folate intakeDietary folate intakeCase-control studyFolate intakeOvarian cancerOvarian Cancer Association ConsortiumCancer riskOdds ratioMendelian randomizationSelf-reported endometriosisSupplemental folate intakeHigh folate intakeHigh folate dietCancer-promoting effectsPooled analysisFolate dietPrecancerous lesionsFolate statusEndometriosisIncrease riskCancerCancer typesLogistic regressionIntakeDynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma
Lu L, Risch E, Halaban R, Zhen P, Bacchiocchi A, Risch H. Dynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma. International Immunopharmacology 2023, 118: 110092. PMID: 37004344, DOI: 10.1016/j.intimp.2023.110092.Peer-Reviewed Original ResearchConceptsImmune checkpoint blockadeSoluble PD-L1 (sPD-L1) levelsPD-L1 ratioPD-L1 levelsSoluble PD-1Soluble PD-L1PD-L1PD-1Patient survivalSurvival statusPD-1/PD-L1Immune checkpoints PD-1T cell exhaustionPatients' survival statusSolid tumor typesInitial immunotherapyCheckpoint blockadeMelanoma patientsPoor prognosisRetrospective studyPatient responseCell exhaustionTumor typesMelanomaSurvivalGenome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions
Lindström S, Wang L, Feng H, Majumdar A, Huo S, Macdonald J, Harrison T, Turman C, Chen H, Mancuso N, Bammler T, Consortium B, Gallinger S, Gruber S, Gunter M, Le Marchand L, Moreno V, Offit K, Study G, De Vivo I, O’Mara T, Spurdle A, Tomlinson I, Consortium E, Fitzgerald R, Gharahkhani P, Gockel I, Jankowski J, Macgregor S, Schumacher J, Barnholtz-Sloan J, Bondy M, Houlston R, Jenkins R, Melin B, Wrensch M, Brennan P, Christiani D, Johansson M, Mckay J, Aldrich M, Amos C, Landi M, Tardon A, Consortium I, Bishop D, Demenais F, Goldstein A, Iles M, Kanetsky P, Law M, Consortium O, Amundadottir L, Stolzenberg-Solomon R, Wolpin B, Consortium P, Klein A, Petersen G, Risch H, Consortium T, Chanock S, Purdue M, Scelo G, Pharoah P, Kar S, Hung R, Pasaniuc B, Kraft P. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. Journal Of The National Cancer Institute 2023, 115: 712-732. PMID: 36929942, PMCID: PMC10248849, DOI: 10.1093/jnci/djad043.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesTranscriptome-wide association studyCancer susceptibility lociGenome-wide genetic correlationSusceptibility lociAssociation studiesMultiple cancer typesCancer genome-wide association studyGenome-wide analysisCross-disease analysisGenetic correlationsSusceptibility regionsGWAS summary statisticsCancer typesGenetic risk variantsDistinct lociCancer heritabilityLociRisk variantsGenetic contributionEuropean ancestryPleiotropyAdditional regionsDifferent cancersHeritabilityRisk prediction models for endometrial cancer: development and validation in an international consortium
Shi J, Kraft P, Rosner B, Benavente Y, Black A, Brinton L, Chen C, Clarke M, Cook L, Costas L, Dal Maso L, Freudenheim J, Frias-Gomez J, Friedenreich C, Garcia-Closas M, Goodman M, Johnson L, La Vecchia C, Levi F, Lissowska J, Lu L, McCann S, Moysich K, Negri E, O'Connell K, Parazzini F, Petruzella S, Polesel J, Ponte J, Rebbeck T, Reynolds P, Ricceri F, Risch H, Sacerdote C, Setiawan V, Shu X, Spurdle A, Trabert B, Webb P, Wentzensen N, Wilkens L, Xu W, Yang H, Yu H, Du M, De Vivo I. Risk prediction models for endometrial cancer: development and validation in an international consortium. Journal Of The National Cancer Institute 2023, 115: 552-559. PMID: 36688725, PMCID: PMC10165481, DOI: 10.1093/jnci/djad014.Peer-Reviewed Original ResearchConceptsNurses' Health StudyRisk prediction modelNHS IIEndometrial cancerHealth StudyGenetic factorsEndometrial cancer incidence ratesOvarian Cancer Screening TrialCancer risk prediction modelsEndometrial Cancer ConsortiumPostmenopausal white womenCancer Screening TrialCancer risk stratificationCase-control studyRisk factor distributionCancer incidence ratesRelative risk estimatesEpidemiologic modelHeterogeneous study populationsPublic health practiceProphylactic hysterectomyRisk stratificationEpidemiologic factorsIncidence rateSelect cohortLifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis
Fu Z, Brooks M, Irvin S, Jordan S, Aben K, Anton-Culver H, Bandera E, Beckmann M, Berchuck A, Brooks-Wilson A, Chang-Claude J, Cook L, Cramer D, Cushing-Haugen K, Doherty J, Ekici A, Fasching P, Fortner R, Gayther S, Gentry-Maharaj A, Giles G, Goode E, Goodman M, Group A, Harris H, Hein A, Kaaks R, Kiemeney L, Köbel M, Kotsopoulos J, Kotsopoulos J, Le N, Lee A, Matsuo K, McGuire V, McLaughlin J, Menon U, Milne R, Moysich K, Pearce C, Pike M, Qin B, Ramus S, Riggan M, Rothstein J, Schildkraut J, Sieh W, Sutphen R, Terry K, Thompson P, Titus L, van Altena A, White E, Whittemore A, Wu A, Zheng W, Ziogas A, Taylor S, Tang L, Songer T, Wentzensen N, Webb P, Risch H, Modugno F. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis. Journal Of The National Cancer Institute 2023, 115: 539-551. PMID: 36688720, PMCID: PMC10165492, DOI: 10.1093/jnci/djad011.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerOral contraceptive useClear cell histotypeOvulatory yearsOvulation suppressionOdds ratioOvarian cancerContraceptive useNonmucinous epithelial ovarian cancerConfidence intervalsConsistent protective effectCase patientsMucinous tumorsPooled analysisProtective effectEOC riskControl participantsHistotypeCancerOvulationAssociationRegression modelsRiskYearsBeta coefficients
2022
Dietary omega-3 fatty acids and endometrial cancer risk in the Epidemiology of Endometrial Cancer Consortium: An individual-participant meta-analysis
Brasky T, Hade E, Cohn D, Newton A, Petruzella S, O'Connell K, Bertrand K, Cook L, De Vivo I, Du M, Freudenheim J, Friedenreich C, Goodman M, Gorzelitz J, Ibiebele T, Krogh V, Liao L, Lipworth L, Lu L, McCann S, O'Mara T, Palmer J, Ponte J, Prizment A, Risch H, Sandin S, Schouten L, Setiawan V, Shu X, Trabert B, van den Brandt P, Webb P, Wentzensen N, Wilkens L, Wolk A, Yu H, Neuhouser M. Dietary omega-3 fatty acids and endometrial cancer risk in the Epidemiology of Endometrial Cancer Consortium: An individual-participant meta-analysis. Gynecologic Oncology 2022, 169: 137-146. PMID: 36934308, PMCID: PMC10025515, DOI: 10.1016/j.ygyno.2022.10.015.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskEndometrial Cancer ConsortiumHigh dietary intakeCancer riskDietary intakeObese womenOdds ratioCancer ConsortiumDietary omega-3 fatty acidsOmega-3 fatty acidsEnergy-adjusted quartilesEndometrial cancer casesEndometrial cancer incidenceProspective cohort studyFood frequency questionnaireNormal-weight womenFatty acid intakeAdjusted odds ratioBody mass indexLong-chain omega-3Anti-inflammatory propertiesSubgroup of womenConfidence intervalsCase-control studyTwo-stage individual participant dataThe age-dependent association of risk factors with pancreatic cancer
Yuan C, Kim J, Wang QL, Lee AA, Babic A, Consortium P, Amundadottir LT, Ardanaz E, Arslan A, Beane-Freeman L, Bracci P, Bueno-de-Mesquita B, Du M, Gallinger S, Giles G, Goodman P, Katzke V, Klein A, Kooperberg C, Kraft P, Li D, Malats N, Marchand L, McCullough M, Milne R, Neoptolemos J, Perdomo S, Petersen G, Risch H, Shu X, Stolzenberg-Solomon R, Van Den Eeden S, Visvanathan K, White E, Wolpin B, Zheng W, Amundadottir L, Klein A, Li D, McCullough M, Petersen G, Risch H, Stolzenberg-Solomon R, Perez K, Ng K, Giovannucci E, Stampfer M, Kraft P, Wolpin B. The age-dependent association of risk factors with pancreatic cancer. Annals Of Oncology 2022, 33: 693-701. PMID: 35398288, PMCID: PMC9233063, DOI: 10.1016/j.annonc.2022.03.276.Peer-Reviewed Original ResearchConceptsPancreatic cancer casesRisk factorsPancreatic cancerProspective cohortMale sexBlack raceSEER programCancer casesPolygenic risk scoresRisk scoreProspective US cohort studyNon-modifiable risk factorsNon-O blood groupIncident pancreatic cancerUS cohort studyEnd Results ProgramPancreatic cancer riskAge-specific associationsEarly detection strategiesAge-dependent associationGenome-wide association studiesAdvanced diseaseCancer presentsCohort studyUS Surveillance