2023
Night 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 dataCancerFolate 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 regressionIntakeLifetime 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
2020
Association Between Breastfeeding and Ovarian Cancer Risk
Babic A, Sasamoto N, Rosner BA, Tworoger SS, Jordan SJ, Risch HA, Harris HR, Rossing MA, Doherty JA, Fortner RT, Chang-Claude J, Goodman MT, Thompson PJ, Moysich KB, Ness RB, Kjaer SK, Jensen A, Schildkraut JM, Titus LJ, Cramer DW, Bandera EV, Qin B, Sieh W, McGuire V, Sutphen R, Pearce CL, Wu AH, Pike M, Webb PM, Modugno F, Terry KL. Association Between Breastfeeding and Ovarian Cancer Risk. JAMA Oncology 2020, 6: e200421. PMID: 32239218, PMCID: PMC7118668, DOI: 10.1001/jamaoncol.2020.0421.Peer-Reviewed Original ResearchConceptsOvarian cancer riskInvasive ovarian cancerEpithelial ovarian cancerOvarian cancerCancer riskLower riskOdds ratioLogistic regressionHigh-grade serous subtypeHistotype-specific associationsMultivariable logistic regressionCase-control studyOvarian Cancer Association ConsortiumPolytomous logistic regressionParous womenEndometrioid cancerModifiable factorsPooled analysisSerous subtypeMAIN OUTCOMEBreastfeedingMore monthsOverall associationLethal typeCancer
2019
Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data
Baecker A, Kim S, Risch HA, Nuckols TK, Wu BU, Hendifar AE, Pandol SJ, Pisegna JR, Jeon CY. Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. PLOS ONE 2019, 14: e0218580. PMID: 31237889, PMCID: PMC6592596, DOI: 10.1371/journal.pone.0218580.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaPancreatic cancerRisk factorsPDAC diagnosisNew-onset diabetes patientsEnd Results (SEER) tumorMonths of claimsUndiagnosed pancreatic cancerClinical risk factorsMultivariable logistic regressionDiagnosis of PDACSex-matched controlsCase-control studyRisk prediction modelHealthcare claims dataSurveillance EpidemiologyResults TumorsDiabetes patientsDuctal adenocarcinomaClaims dataHealthcare claimsEarly detection methodsLogistic regressionCancerDiagnosisShared heritability and functional enrichment across six solid cancers
Jiang X, Finucane HK, Schumacher FR, Schmit SL, Tyrer JP, Han Y, Michailidou K, Lesseur C, Kuchenbaecker KB, Dennis J, Conti DV, Casey G, Gaudet MM, Huyghe JR, Albanes D, Aldrich MC, Andrew AS, Andrulis IL, Anton-Culver H, Antoniou AC, Antonenkova NN, Arnold SM, Aronson KJ, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Batra J, Beckmann MW, Benitez J, Benlloch S, Berchuck A, Berndt SI, Bickeböller H, Bien SA, Blomqvist C, Boccia S, Bogdanova NV, Bojesen SE, Bolla MK, Brauch H, Brenner H, Brenton JD, Brook MN, Brunet J, Brunnström H, Buchanan DD, Burwinkel B, Butzow R, Cadoni G, Caldés T, Caligo MA, Campbell I, Campbell PT, Cancel-Tassin G, Cannon-Albright L, Campa D, Caporaso N, Carvalho AL, Chan AT, Chang-Claude J, Chanock SJ, Chen C, Christiani DC, Claes KBM, Claessens F, Clements J, Collée JM, Correa MC, Couch FJ, Cox A, Cunningham JM, Cybulski C, Czene K, Daly MB, deFazio A, Devilee P, Diez O, Gago-Dominguez M, Donovan JL, Dörk T, Duell EJ, Dunning AM, Dwek M, Eccles DM, Edlund CK, Edwards DRV, Ellberg C, Evans DG, Fasching PA, Ferris RL, Liloglou T, Figueiredo JC, Fletcher O, Fortner RT, Fostira F, Franceschi S, Friedman E, Gallinger SJ, Ganz PA, Garber J, García-Sáenz JA, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, Goode EL, Goodman MT, Goodman G, Grankvist K, Greene MH, Gronberg H, Gronwald J, Guénel P, Håkansson N, Hall P, Hamann U, Hamdy FC, Hamilton RJ, Hampe J, Haugen A, Heitz F, Herrero R, Hillemanns P, Hoffmeister M, Høgdall E, Hong YC, Hopper JL, Houlston R, Hulick PJ, Hunter DJ, Huntsman DG, Idos G, Imyanitov EN, Ingles SA, Isaacs C, Jakubowska A, James P, Jenkins MA, Johansson M, Johansson M, John EM, Joshi AD, Kaneva R, Karlan BY, Kelemen LE, Kühl T, Khaw KT, Khusnutdinova E, Kibel AS, Kiemeney LA, Kim J, Kjaer SK, Knight JA, Kogevinas M, Kote-Jarai Z, Koutros S, Kristensen VN, Kupryjanczyk J, Lacko M, Lam S, Lambrechts D, Landi MT, Lazarus P, Le ND, Lee E, Lejbkowicz F, Lenz HJ, Leslie G, Lessel D, Lester J, Levine DA, Li L, Li CI, Lindblom A, Lindor NM, Liu G, Loupakis F, Lubiński J, Maehle L, Maier C, Mannermaa A, Marchand LL, Margolin S, May T, McGuffog L, Meindl A, Middha P, Miller A, Milne RL, MacInnis RJ, Modugno F, Montagna M, Moreno V, Moysich KB, Mucci L, Muir K, Mulligan AM, Nathanson KL, Neal DE, Ness AR, Neuhausen SL, Nevanlinna H, Newcomb PA, Newcomb LF, Nielsen FC, Nikitina-Zake L, Nordestgaard BG, Nussbaum RL, Offit K, Olah E, Olama AAA, Olopade OI, Olshan AF, Olsson H, Osorio A, Pandha H, Park JY, Pashayan N, Parsons MT, Pejovic T, Penney KL, Peters WHM, Phelan CM, Phipps AI, Plaseska-Karanfilska D, Pring M, Prokofyeva D, Radice P, Stefansson K, Ramus SJ, Raskin L, Rennert G, Rennert HS, van Rensburg EJ, Riggan MJ, Risch HA, Risch A, Roobol MJ, Rosenstein BS, Rossing MA, De Ruyck K, Saloustros E, Sandler DP, Sawyer EJ, Schabath MB, Schleutker J, Schmidt MK, Setiawan VW, Shen H, Siegel EM, Sieh W, Singer CF, Slattery ML, Sorensen KD, Southey MC, Spurdle AB, Stanford JL, Stevens VL, Stintzing S, Stone J, Sundfeldt K, Sutphen R, Swerdlow AJ, Tajara EH, Tangen CM, Tardon A, Taylor JA, Teare MD, Teixeira MR, Terry MB, Terry KL, Thibodeau SN, Thomassen M, Bjørge L, Tischkowitz M, Toland AE, Torres D, Townsend PA, Travis RC, Tung N, Tworoger SS, Ulrich CM, Usmani N, Vachon CM, Van Nieuwenhuysen E, Vega A, Aguado-Barrera ME, Wang Q, Webb PM, Weinberg CR, Weinstein S, Weissler MC, Weitzel JN, West CML, White E, Whittemore AS, Wichmann HE, Wiklund F, Winqvist R, Wolk A, Woll P, Woods M, Wu AH, Wu X, Yannoukakos D, Zheng W, Zienolddiny S, Ziogas A, Zorn KK, Lane JM, Saxena R, Thomas D, Hung RJ, Diergaarde B, McKay J, Peters U, Hsu L, García-Closas M, Eeles RA, Chenevix-Trench G, Brennan PJ, Haiman CA, Simard J, Easton DF, Gruber SB, Pharoah PDP, Price AL, Pasaniuc B, Amos CI, Kraft P, Lindström S. Shared heritability and functional enrichment across six solid cancers. Nature Communications 2019, 10: 431. PMID: 30683880, PMCID: PMC6347624, DOI: 10.1038/s41467-018-08054-4.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCase-Control StudiesColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHead and Neck NeoplasmsHumansInheritance PatternsLung NeoplasmsMaleMental DisordersNeoplasm ProteinsOvarian NeoplasmsPhenotypePolymorphism, Single NucleotideProstatic NeoplasmsSmokingWhite PeopleConceptsHead/neck cancerHead/neckColorectal cancerLung cancerNeck cancerOvarian cancerProstate cancerSolid cancersGenetic correlationsPsychiatric diseasesSolid tumorsMultiple cancersCancerCancer etiologyCancer typesBreastFunctional enrichment analysisMetabolic characteristicsGenome-wide association study summary statisticsLungDiseaseSignificant genetic correlationsEuropean ancestryEnrichment analysisFunctional enrichment
2018
Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies
Peres LC, Risch H, Terry KL, Webb P, Goodman MT, Wu AH, Alberg AJ, Bandera EV, Barnholtz-Sloan J, Bondy ML, Cote ML, Funkhouser E, Moorman PG, Peters ES, Schwartz AG, Terry PD, Manichaikul A, Abbott SE, Camacho F, Jordan SJ, Nagle CM, Group A, Rossing M, Doherty J, Modugno F, Moysich K, Ness R, Berchuck A, Cook L, Le N, Brooks-Wilson A, Sieh W, Whittemore A, McGuire V, Rothstein J, Anton-Culver H, Ziogas A, Pearce C, Tseng C, Pike M, Schildkraut J, Consortium O. Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies. International Journal Of Epidemiology 2018, 47: 1011-1011. PMID: 29584862, PMCID: PMC6005044, DOI: 10.1093/ije/dyy054.Peer-Reviewed Original ResearchAdult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study
Dixon-Suen SC, Nagle CM, Thrift AP, Pharoah PDP, Ewing A, Pearce CL, Zheng W, Australian Ovarian Cancer Study Group, Chenevix-Trench G, Fasching PA, Beckmann MW, Lambrechts D, Vergote I, Lambrechts S, Van Nieuwenhuysen E, Rossing MA, Doherty JA, Wicklund KG, Chang-Claude J, Jung AY, Moysich KB, Odunsi K, Goodman MT, Wilkens LR, Thompson PJ, Shvetsov YB, Dörk T, Park-Simon TW, Hillemanns P, Bogdanova N, Butzow R, Nevanlinna H, Pelttari LM, Leminen A, Modugno F, Ness RB, Edwards RP, Kelley JL, Heitz F, du Bois A, Harter P, Schwaab I, Karlan BY, Lester J, Orsulic S, Rimel BJ, Kjær SK, Høgdall E, Jensen A, Goode EL, Fridley BL, Cunningham JM, Winham SJ, Giles GG, Bruinsma F, Milne RL, Southey MC, Hildebrandt MAT, Wu X, Lu KH, Liang D, Levine DA, Bisogna M, Schildkraut JM, Berchuck A, Cramer DW, Terry KL, Bandera EV, Olson SH, Salvesen HB, Thomsen LCV, Kopperud RK, Bjorge L, Kiemeney LA, Massuger LFAG, Pejovic T, Bruegl A, Cook LS, Le ND, Swenerton KD, Brooks-Wilson A, Kelemen LE, Lubiński J, Huzarski T, Gronwald J, Menkiszak J, Wentzensen N, Brinton L, Yang H, Lissowska J, Høgdall CK, Lundvall L, Song H, Tyrer JP, Campbell I, Eccles D, Paul J, Glasspool R, Siddiqui N, Whittemore AS, Sieh W, McGuire V, Rothstein JH, Narod SA, Phelan C, Risch HA, McLaughlin JR, Anton-Culver H, Ziogas A, Menon U, Gayther SA, Ramus SJ, Gentry-Maharaj A, Wu AH, Pike MC, Tseng CC, Kupryjanczyk J, Dansonka-Mieszkowska A, Budzilowska A, Rzepecka IK, Webb PM, on behalf of the Ovarian Cancer Association Consortium. Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study. British Journal Of Cancer 2018, 118: 1123-1129. PMID: 29555990, PMCID: PMC5931085, DOI: 10.1038/s41416-018-0011-3.Peer-Reviewed Original ResearchConceptsOvarian cancer riskMendelian randomisationOdds ratioOvarian cancerCancer riskStudy-specific odds ratiosConfidence intervalsMendelian randomisation studyBackgroundObservational studiesOvarian carcinogenesisRisk scoreAdult heightConsortium studySingle nucleotide polymorphismsRiskCancerGenetic propensity
2017
Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study
Ong J, Hwang L, Cuellar-Partida G, Martin N, Chenevix-Trench G, Quinn M, Cornelis M, Gharahkhani P, Webb P, MacGregor S, Ong J, Hwang L, Cuellar-Partida G, Bryne E, Fasching P, Hein A, Burghaus S, Beckmann M, Lambrechts D, Van Nieuwenhuysen E, Vergote I, Vanderstichele A, Swerdlow A, Jones M, Orr N, Schoemaker M, Edwards D, Brenton J, Benítez J, García M, Rodriguez-Antona C, Rossing M, Fortner R, Riboli E, Chang-Claude J, Eilber U, Wang-Gohrke S, Yannoukakos D, Goodman M, Bogdanova N, Dörk T, Duerst M, Hillemanns P, Runnebaum I, Antonenkova N, Butzow R, Nevanlinna H, Pelttari L, Edwards R, Kelley J, Modugno F, Moysich K, Ness R, Cannioto R, Heitz F, Karlan B, Olsson H, Kjaer S, Jensen A, Giles G, Bruinsma F, Hildebrandt M, Liang D, Wu X, Le Marchand L, Setiawan V, Permuth J, Bisogna M, Dao F, Levine D, Cramer D, Terry K, Tworoger S, Stampfer M, Willet W, Missmer S, Bjorge L, Kopperud R, Bischof K, Thomsen L, Kiemeney L, Massuger L, Pejovic T, Brooks-Wilson A, Olson S, McGuire V, Rothstein J, Sieh W, Whittemore A, Cook L, Le N, Gilks C, Gronwald J, Jakubowska A, Lubiński J, Kluz T, Wentzensen N, Brinton L, Trabert B, Lissowska J, Høgdall E, Høgdall C, Sandler D, Wolk A, Tyrer J, Song H, Eccles D, Campbell I, Glasspool R, McNeish I, Paul J, Siddiqui N, Sutphen R, McLaughlin J, Phelan C, Anton-Culver H, Ziogas A, May T, Gayther S, Gentry-Maharaj A, Menon U, Ramus S, Wu A, Huntsman D, deFazio A, Dansonka-Mieszkowska A, Kupryjanczyk J, Moes-Sosnowska J, Szafron L, Cunningham J, Winham S, Risch H, Goode E, Schildkraut J, Pearce C, Berchuck A, Pharoah P, Martin N, Chenevix-Trench G, Quinn M, Cornelis M, Gharahkhani P, Webb P, MacGregor S. Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. International Journal Of Epidemiology 2017, 47: 450-459. PMID: 29186515, PMCID: PMC6186013, DOI: 10.1093/ije/dyx236.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerOvarian Cancer Association ConsortiumOvarian cancerObservational studyCoffee consumptionEOC riskEOC casesHigh-grade serous epithelial ovarian cancerMendelian randomizationSerous epithelial ovarian cancerModerate coffee consumptionHigh-grade serous casesMendelian randomization studyTwo-sample Mendelian randomizationAdditional cupProtective associationCaffeine consumptionHealth outcomesEarlier observational studiesRandomization studySerous casesStrong associationSingle nucleotide polymorphismsCaffeine levelsCancerQuantifying the Genetic Correlation between Multiple Cancer Types
Lindström S, GECCO and the GAME-ON Network: CORECT D, Finucane H, Bulik-Sullivan B, Schumacher F, Amos C, Hung R, Rand K, Gruber S, Conti D, Permuth J, Lin H, Goode E, Sellers T, Amundadottir L, Stolzenberg-Solomon R, Klein A, Petersen G, Risch H, Wolpin B, Hsu L, Huyghe J, Chang-Claude J, Chan A, Berndt S, Eeles R, Easton D, Haiman C, Hunter D, Neale B, Price A, Kraft P. Quantifying the Genetic Correlation between Multiple Cancer Types. Cancer Epidemiology Biomarkers & Prevention 2017, 26: 1427-1435. PMID: 28637796, PMCID: PMC5582139, DOI: 10.1158/1055-9965.epi-17-0211.Peer-Reviewed Original ResearchConceptsColorectal cancerLung cancerRisk factorsBreast cancerRare high-penetrance mutationsCancer typesBody mass indexSpecific genetic risk factorsGenetic risk factorsHigh-penetrance mutationsMass indexControl subjectsOvarian cancerObservational studyProstate cancerNoncancer diseasesGenome-wide association studiesCancerDistinct cancersPrevious observational studiesAssociation studiesColorectalLungSummary statistics dataModest genetic correlationBreastfeeding 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 durationWomenBreastfeedingAssociation Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study
Haycock P, Burgess S, Nounu A, Zheng J, Okoli G, Bowden J, Wade K, Timpson N, Evans D, Willeit P, Aviv A, Gaunt T, Hemani G, Mangino M, Ellis H, Kurian K, Pooley K, Eeles R, Lee J, Fang S, Chen W, Law M, Bowdler L, Iles M, Yang Q, Worrall B, Markus H, Hung R, Amos C, Spurdle A, Thompson D, O’Mara T, Wolpin B, Amundadottir L, Stolzenberg-Solomon R, Trichopoulou A, Onland-Moret N, Lund E, Duell E, Canzian F, Severi G, Overvad K, Gunter M, Tumino R, Svenson U, van Rij A, Baas A, Bown M, Samani N, van t’Hof F, Tromp G, Jones G, Kuivaniemi H, Elmore J, Johansson M, Mckay J, Scelo G, Carreras-Torres R, Gaborieau V, Brennan P, Bracci P, Neale R, Olson S, Gallinger S, Li D, Petersen G, Risch H, Klein A, Han J, Abnet C, Freedman N, Taylor P, Maris J, Aben K, Kiemeney L, Vermeulen S, Wiencke J, Walsh K, Wrensch M, Rice T, Turnbull C, Litchfield K, Paternoster L, Standl M, Abecasis G, SanGiovanni J, Li Y, Mijatovic V, Sapkota Y, Low S, Zondervan K, Montgomery G, Nyholt D, van Heel D, Hunt K, Arking D, Ashar F, Sotoodehnia N, Woo D, Rosand J, Comeau M, Brown W, Silverman E, Hokanson J, Cho M, Hui J, Ferreira M, Thompson P, Morrison A, Felix J, Smith N, Christiano A, Petukhova L, Betz R, Fan X, Zhang X, Zhu C, Langefeld C, Thompson S, Wang F, Lin X, Schwartz D, Fingerlin T, Rotter J, Cotch M, Jensen R, Munz M, Dommisch H, Schaefer A, Han F, Ollila H, Hillary R, Albagha O, Ralston S, Zeng C, Zheng W, Shu X, Reis A, Uebe S, Hüffmeier U, Kawamura Y, Otowa T, Sasaki T, Hibberd M, Davila S, Xie G, Siminovitch K, Bei J, Zeng Y, Försti A, Chen B, Landi S, Franke A, Fischer A, Ellinghaus D, Flores C, Noth I, Ma S, Foo J, Liu J, Kim J, Cox D, Delattre O, Mirabeau O, Skibola C, Tang C, Garcia-Barcelo M, Chang K, Su W, Chang Y, Martin N, Gordon S, Wade T, Lee C, Kubo M, Cha P, Nakamura Y, Levy D, Kimura M, Hwang S, Hunt S, Spector T, Soranzo N, Manichaikul A, Barr R, Kahali B, Speliotes E, Yerges-Armstrong L, Cheng C, Jonas J, Wong T, Fogh I, Lin K, Powell J, Rice K, Relton C, Martin R, Smith G. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study. JAMA Oncology 2017, 3: 636-651. PMID: 28241208, PMCID: PMC5638008, DOI: 10.1001/jamaoncol.2016.5945.Peer-Reviewed Original ResearchConceptsGermline genetic variationGenomewide association studiesGenetic variationSingle nucleotide polymorphismsTelomere lengthStem cell divisionSummary association statisticsGermline genetic variantsCell divisionAssociation studiesLonger telomeresGenetic variantsNucleotide polymorphismsAssociation statisticsTelomeresSummary dataLung adenocarcinomaKidney cancerNon-neoplastic diseasesPolymorphismVariationTissue sitesCancerOvarian cancerDivisionUse of common analgesic medications and ovarian cancer survival: results from a pooled analysis in the Ovarian Cancer Association Consortium
Dixon SC, Nagle CM, Wentzensen N, Trabert B, Beeghly-Fadiel A, Schildkraut JM, Moysich KB, deFazio A, Risch H, Rossing M, Doherty J, Wicklund K, Goodman M, Modugno F, Ness R, Edwards R, Jensen A, Kjær S, Høgdall E, Berchuck A, Cramer D, Terry K, Poole E, Bandera E, Paddock L, Anton-Culver H, Ziogas A, Menon U, Gayther S, Ramus S, Gentry-Maharaj A, Pearce C, Wu A, Pike M, Webb P. Use of common analgesic medications and ovarian cancer survival: results from a pooled analysis in the Ovarian Cancer Association Consortium. British Journal Of Cancer 2017, 116: 1223-1228. PMID: 28350790, PMCID: PMC5418444, DOI: 10.1038/bjc.2017.68.Peer-Reviewed Original ResearchConceptsNonsteroidal anti-inflammatory drugsDisease-specific survivalOvarian cancer survivalAnalgesic useCancer survivalOvarian cancerInvasive epithelial ovarian cancerCommon analgesic medicationsPost-diagnosis usePre-diagnosis useRegular analgesic useEpithelial ovarian cancerOvarian Cancer Association ConsortiumAnti-inflammatory drugsAnalgesic medicationOverall survivalImproved survivalPooled analysisCommon analgesicsSurvival advantageConsortium studyClear associationCancerSurvivalFurther investigationCorrelation 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 mutationsWomenAspirin Use and Reduced Risk of Pancreatic Cancer
Risch HA, Lu L, Streicher SA, Wang J, Zhang W, Ni Q, Kidd MS, Yu H, Gao YT. Aspirin Use and Reduced Risk of Pancreatic Cancer. Cancer Epidemiology Biomarkers & Prevention 2017, 26: 68-74. PMID: 27999143, PMCID: PMC5225096, DOI: 10.1158/1055-9965.epi-16-0508.Peer-Reviewed Original ResearchConceptsPancreatic cancerAspirin useRegular useConfidence intervalsLong-term aspirin useControl subjects frequencyLow-dose aspirinAvoidance of smokingBody mass indexPopulation-based studyUnconditional logistic regressionABO blood groupRisk-benefit analysisAspirin typeCagA seropositivityDiabetes mellitusMass indexCigarette smokingCardiovascular diseaseAspirinCancerCertain cancersLogistic regressionBlood groupSubjects frequency
2016
Pelvic Inflammatory Disease and the Risk of Ovarian Cancer and Borderline Ovarian Tumors: A Pooled Analysis of 13 Case-Control Studies
Rasmussen CB, Kjaer SK, Albieri V, Bandera EV, Doherty JA, Høgdall E, Webb PM, Jordan SJ, Rossing MA, Wicklund KG, Goodman MT, Modugno F, Moysich KB, Ness RB, Edwards RP, Schildkraut JM, Berchuck A, Olson SH, Kiemeney LA, Massuger LF, Narod SA, Phelan CM, Anton-Culver H, Ziogas A, Wu AH, Pearce CL, Risch HA, Jensen A, Consortium O. Pelvic Inflammatory Disease and the Risk of Ovarian Cancer and Borderline Ovarian Tumors: A Pooled Analysis of 13 Case-Control Studies. American Journal Of Epidemiology 2016, 185: 8-20. PMID: 27941069, PMCID: PMC5209588, DOI: 10.1093/aje/kww161.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Ovarian EpithelialCase-Control StudiesComorbidityContraceptives, Oral, HormonalFamily HealthFemaleGenetic Predisposition to DiseaseHormone Replacement TherapyHumansHysterectomyNeoplasms, Glandular and EpithelialOvarian NeoplasmsPelvic Inflammatory DiseaseProtective FactorsReproductive HistoryRisk FactorsSterilization, TubalTalcConceptsPelvic inflammatory diseaseOvarian cancer riskBorderline ovarian tumorsCase-control studyOvarian Cancer Association ConsortiumBorderline tumorsOvarian cancerCancer riskOvarian tumorsInflammatory diseasesOdds ratioEpisodes of PIDHistory of PIDStudy-specific odds ratiosLow-grade serous tumorsHistotype-specific associationsEpithelial ovarian cancerPooled odds ratioRandom-effects modelSerous tumorsPooled analysisOvarian carcinogenesisTumor behaviorTumorsCancerNonsteroidal anti-inflammatory drugs, statins, and pancreatic cancer risk: a population-based case–control study
Kho PF, Fawcett J, Fritschi L, Risch H, Webb PM, Whiteman DC, Neale RE. Nonsteroidal anti-inflammatory drugs, statins, and pancreatic cancer risk: a population-based case–control study. Cancer Causes & Control 2016, 27: 1457-1464. PMID: 27817122, DOI: 10.1007/s10552-016-0824-4.Peer-Reviewed Original ResearchConceptsNonsteroidal anti-inflammatory drugsUse of NSAIDsPopulation-based case-control studyCase-control studyAnti-inflammatory drugsPancreatic cancerProtective effectHistory of NSAIDsUnconditional multivariable logistic regressionSelective COX-2 inhibitorsMultivariable logistic regressionPancreatic cancer riskSex-matched controlsCOX-2 inhibitorsPancreatic cancer studiesStatin useMedication useSmoking statusCancer riskMedication sectionStatinsCancerLogistic regressionMore frequent usersCancer studiesAssociation between family cancer history and risk of pancreatic cancer
Schulte A, Pandeya N, Fawcett J, Fritschi L, Klein K, Risch HA, Webb PM, Whiteman DC, Neale RE. Association between family cancer history and risk of pancreatic cancer. Cancer Epidemiology 2016, 45: 145-150. PMID: 27810486, DOI: 10.1016/j.canep.2016.10.005.Peer-Reviewed Original ResearchConceptsPancreatic cancerFamily historyOdds ratioAustralian population-based case-control studyPopulation-based case-control studyLaird random-effects modelHistory of cancerAdjusted odds ratioPancreatic cancer patientsConfidence intervalsFamily cancer historyCase-control studyPancreatic cancer riskFirst-degree relativesRandom-effects modelMelanoma family historyPancreatic cancer studiesCancer historyCancer patientsRisk factorsPancreatic adenocarcinomaProstate cancerCancer riskMEDLINE databaseCancerRisk 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 polymorphismsFrequency of germline PALB2 mutations among women with epithelial ovarian cancer
Kotsopoulos J, Sopik V, Rosen B, Fan I, McLaughlin JR, Risch H, Sun P, Narod SA, Akbari MR. Frequency of germline PALB2 mutations among women with epithelial ovarian cancer. Familial Cancer 2016, 16: 29-34. PMID: 27631815, DOI: 10.1007/s10689-016-9919-z.Peer-Reviewed Original ResearchConceptsGermline PALB2 mutationsPALB2 mutationsOvarian cancerEpithelial ovarian cancer patientsYear of diagnosisEpithelial ovarian cancerOvarian cancer patientsOvarian cancer riskMean ageCancer patientsControl subjectsNational HeartMedical recordsClinical recommendationsSurvival statusCancer riskClinical informationUnselected populationClinical relevanceBRCA2 genesGermline mutationsCancerFurther studiesPatientsPrevalence