2024
Hypertension 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 models
2021
The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant
Lakeman IMM, van den Broek AJ, Vos JAM, Barnes DR, Adlard J, Andrulis IL, Arason A, Arnold N, Arun BK, Balmaña J, Barrowdale D, Benitez J, Borg A, Caldés T, Caligo MA, Chung WK, Claes KBM, Collée J, Couch F, Daly M, Dennis J, Dhawan M, Domchek S, Eeles R, Engel C, Evans D, Feliubadaló L, Foretova L, Friedman E, Frost D, Ganz P, Garber J, Gayther S, Gerdes A, Godwin A, Goldgar D, Hahnen E, Hake C, Hamann U, Hogervorst F, Hooning M, Hopper J, Hulick P, Imyanitov E, Isaacs C, Izatt L, Jakubowska A, James P, Janavicius R, Jensen U, Jiao Y, John E, Joseph V, Karlan B, Kets C, Konstantopoulou I, Kwong A, Legrand C, Leslie G, Lesueur F, Loud J, Lubiński J, Manoukian S, McGuffog L, Miller A, Gomes D, Montagna M, Mouret-Fourme E, Nathanson K, Neuhausen S, Nevanlinna H, Yie J, Olah E, Olopade O, Park S, Parsons M, Peterlongo P, Piedmonte M, Radice P, Rantala J, Rennert G, Risch H, Schmutzler R, Sharma P, Simard J, Singer C, Stadler Z, Stoppa-Lyonnet D, Sutter C, Tan Y, Teixeira M, Teo S, Teulé A, Thomassen M, Thull D, Tischkowitz M, Toland A, Tung N, van Rensburg E, Vega A, Wappenschmidt B, Devilee P, van Asperen C, Bernstein J, Offit K, Easton D, Rookus M, Chenevix-Trench G, Antoniou A, Robson M, Schmidt M. The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant. Genetics In Medicine 2021, 23: 1726-1737. PMID: 34113011, PMCID: PMC8460445, DOI: 10.1038/s41436-021-01198-7.Peer-Reviewed Original ResearchConceptsCBC riskHazard ratioFirst BCC-indexPolygenic risk scoresRisk scoreConfidence intervalsContralateral breast cancer riskBreast cancer polygenic risk scoreBRCA2 pathogenic variantsAge 40 yearsBreast cancer riskMultifactorial risk modelEuropean ancestryModifiers of BRCA1/2Breast cancer risk predictionCancer risk predictionConsortium of InvestigatorsRetrospective seriesInvasive BCPathological characteristicsFamily historyEstrogen receptorHeterozygous BRCA1Cancer risk
2020
Estimation of the carrier frequency of fumarate hydratase alterations and implications for kidney cancer risk in hereditary leiomyomatosis and renal cancer
Shuch B, Li S, Risch H, Bindra RS, McGillivray PD, Gerstein M. Estimation of the carrier frequency of fumarate hydratase alterations and implications for kidney cancer risk in hereditary leiomyomatosis and renal cancer. Cancer 2020, 126: 3657-3666. PMID: 32413184, PMCID: PMC10316675, DOI: 10.1002/cncr.32914.Peer-Reviewed Original ResearchConceptsFumarate hydrataseExome Aggregation ConsortiumAllele frequenciesFH geneGenome ProjectDifferent world populationsFH alterationsHereditary leiomyomatosisKidney cancer riskCancer penetranceMissense alterationsGenesOverall allele frequencyRare variantsLow penetranceRenal cancerExACKidney cancerCancer riskPenetranceGermline mutationsLethal formWorld populationCancer syndromesAlterationsRisk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study
Shen Y, Risch H, Lu L, Ma X, Irwin ML, Lim JK, Taddei T, Pawlish K, Stroup A, Brown R, Wang Z, Jia W, Wong L, Mayne ST, Yu H. Risk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study. Cancer Causes & Control 2020, 31: 321-332. PMID: 32060838, PMCID: PMC7136513, DOI: 10.1007/s10552-020-01277-1.Peer-Reviewed Original ResearchConceptsRisk of HCCCase-control studyHepatocellular carcinomaRisk factorsHCV infectionHCC riskOdds ratioHepatitis C virus antibodyUnconditional logistic regression modelsElevated HCC riskRapid case ascertainmentC virus antibodyHeavy alcohol intakeConfidence intervalsFamily cancer historyImportant risk factorRandom digit dialingLow socioeconomic statusUnhealthy lifestyle choicesLower household incomeLogistic regression modelsNSAID useAlcohol intakeCigarette smokingHigher BMI
2019
Factors associated with psychological resilience in left-behind children in southwest China
Xiao Y, Wang Y, Chang W, Chen Y, Yu Z, Risch HA. Factors associated with psychological resilience in left-behind children in southwest China. Asian Journal Of Psychiatry 2019, 46: 1-5. PMID: 31568979, DOI: 10.1016/j.ajp.2019.09.014.Peer-Reviewed Original ResearchConceptsPsychological resilienceInterpersonal assistanceClose friendsHigher psychological resilienceFamily supportDimensions of resilienceHigh mother's education levelEmotion regulationChinese adolescentsResilience ScaleGreater resilienceRandom cluster samplingResilienceHigh resilienceEducation levelFriendsMother's education levelFace interviewsGoal concentrationChildrenRelevant informationCross-sectional surveyPeopleAdolescentsSupportMendelian randomisation study of height and body mass index as modifiers of ovarian cancer risk in 22,588 BRCA1 and BRCA2 mutation carriers
Qian F, Rookus MA, Leslie G, Risch HA, Greene MH, Aalfs CM, Adank MA, Adlard J, Agnarsson BA, Ahmed M, Aittomäki K, Andrulis IL, Arnold N, Arun BK, Ausems MGEM, Azzollini J, Barrowdale D, Barwell J, Benitez J, Białkowska K, Bonadona V, Borde J, Borg A, Bradbury AR, Brunet J, Buys SS, Caldés T, Caligo MA, Campbell I, Carter J, Chiquette J, Chung WK, Claes KBM, Collée JM, Collonge-Rame MA, Couch FJ, Daly MB, Delnatte C, Diez O, Domchek SM, Dorfling CM, Eason J, Easton DF, Eeles R, Engel C, Evans DG, Faivre L, Feliubadaló L, Foretova L, Friedman E, Frost D, Ganz PA, Garber J, Garcia-Barberan V, Gehrig A, Glendon G, Godwin AK, Gómez Garcia EB, Hamann U, Hauke J, Hopper JL, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Jakubowska A, Janavicius R, John EM, Karlan BY, Kets CM, Laitman Y, Lázaro C, Leroux D, Lester J, Lesueur F, Loud JT, Lubiński J, Łukomska A, McGuffog L, Mebirouk N, Meijers-Heijboer HEJ, Meindl A, Miller A, Montagna M, Mooij TM, Mouret-Fourme E, Nathanson KL, Nehoray B, Neuhausen SL, Nevanlinna H, Nielsen FC, Offit K, Olah E, Ong KR, Oosterwijk JC, Ottini L, Parsons MT, Peterlongo P, Pfeiler G, Pradhan N, Radice P, Ramus SJ, Rantala J, Rennert G, Robson M, Rodriguez GC, Salani R, Scheuner MT, Schmutzler RK, Shah PD, Side LE, Simard J, Singer CF, Steinemann D, Stoppa-Lyonnet D, Tan YY, Teixeira MR, Terry MB, Thomassen M, Tischkowitz M, Tognazzo S, Toland AE, Tung N, van Asperen CJ, van Engelen K, van Rensburg EJ, Venat-Bouvet L, Vierstraete J, Wagner G, Walker L, Weitzel JN, Yannoukakos D, Antoniou A, Goldgar D, Olopade O, Chenevix-Trench G, Rebbeck T, Huo D. Mendelian randomisation study of height and body mass index as modifiers of ovarian cancer risk in 22,588 BRCA1 and BRCA2 mutation carriers. British Journal Of Cancer 2019, 121: 180-192. PMID: 31213659, PMCID: PMC6738050, DOI: 10.1038/s41416-019-0492-8.Peer-Reviewed Original ResearchConceptsBody mass indexOvarian cancer riskBRCA1/2 mutation carriersBRCA2 mutation carriersCancer riskMutation carriersMass indexGeneral populationHigher ovarian cancer riskHigher body mass indexGenetic scoreOvarian cancer casesMendelian randomisation studyMendelian randomisation approachConsortium of InvestigatorsPostmenopausal womenPremenopausal womenMenopausal statusCancer casesCox modelConclusionOur observationsRandomisation approachM2 increaseRiskPositive association
2018
Fallopian tube lesions in women at high risk for ovarian cancer: A multicenter study
Visvanathan K, Shaw P, May BJ, Bahadirli-Talbot A, Kaushiva A, Risch H, Narod S, Wang TL, Parkash V, Vang R, Levine DA, Soslow R, Kurman R, Shih IM. Fallopian tube lesions in women at high risk for ovarian cancer: A multicenter study. Cancer Prevention Research 2018, 11: canprevres.0009.2018. PMID: 30232083, PMCID: PMC6760670, DOI: 10.1158/1940-6207.capr-18-0009.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinCystadenocarcinoma, SerousDisease ProgressionFallopian Tube NeoplasmsFallopian TubesFemaleHumansMedical History TakingMiddle AgedOvarian NeoplasmsOvaryPrecancerous ConditionsPrevalencePrognosisProspective StudiesRetrospective StudiesSalpingo-oophorectomyConceptsSerous tubal intraepithelial lesionsHigh-grade serous ovarian carcinomaSerous tubal intraepithelial carcinomaP53 signatureRisk/protective factorsProtective factorsMultiple lesionsFallopian tubePrognosis of womenHigh-risk womenTubal intraepithelial carcinomaTubal intraepithelial lesionsSerous ovarian carcinomaPutative precursor lesionsYears of ageIntraepithelial lesionsIntraepithelial carcinomaMulticenter studyInvasive cancerOvarian carcinomaDisease progressionPrecursor lesionsEpidemiologic dataCombined prevalenceTubal lesionsDisparities by race, age, and sex in the improvement of survival for lymphoma: Findings from a population-based study
Mukhtar F, Boffetta P, Dabo B, Park JY, Tran CTD, Tran TV, Tran HT, Whitney M, Risch HA, Le LC, Zheng W, Shu XO, Luu HN. Disparities by race, age, and sex in the improvement of survival for lymphoma: Findings from a population-based study. PLOS ONE 2018, 13: e0199745. PMID: 29995909, PMCID: PMC6040734, DOI: 10.1371/journal.pone.0199745.Peer-Reviewed Original ResearchConceptsLymphoma patientsHodgkin's lymphomaAge groupsHazard ratioDisease-specific mortalityFive-year survivalHodgkin's lymphoma patientsImprovement of survivalPopulation-based studyProportional hazards regressionConfidence intervalsCause-specific mortalityIncident lymphoma casesSEER cancer registryYears of ageOlder age groupsPatients 20Surveillance EpidemiologyCancer RegistrySurvival improvementHazards regressionLymphoma casesNHL survivalPatientsLymphomaAdult 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 propensityPolycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium
Harris HR, Babic A, Webb PM, Nagle CM, Jordan SJ, Group O, 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, Wentzensen N, Kotsopoulos J, Narod S, Phelan C, McLaughlin J, Anton-Culver H, Ziogas A, Pearce C, Wu A, Terry K, Consortium O. Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiology Biomarkers & Prevention 2018, 27: 174-182. PMID: 29141849, PMCID: PMC5877463, DOI: 10.1158/1055-9965.epi-17-0655.Peer-Reviewed Original ResearchConceptsInvasive ovarian cancerPolycystic ovary syndromeOvarian cancer riskMenstrual cycle lengthOvarian cancerCancer riskDecreased riskSelf-reported polycystic ovary syndromeLogistic regressionCycle lengthStudy-specific ORsIrregular menstrual cyclesSerous borderline tumorsRisk factor associationsCase-control studyOvarian cancer histotypesPolytomous logistic regressionMucinous tumorsOvary syndromeBorderline tumorsHistologic subtypeOvarian diseaseMenstrual cycleCancer histotypesHistotype
2017
Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies
Peres LC, Risch H, Terry KL, Webb PM, 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 T. Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies. International Journal Of Epidemiology 2017, 47: 460-472. PMID: 29211900, PMCID: PMC5913601, DOI: 10.1093/ije/dyx252.Peer-Reviewed Original ResearchConceptsAfrican American Cancer Epidemiology StudyRace/ethnicityCase-control studyOvarian Cancer Association ConsortiumOdds ratioLargest odds ratioRisk factorsFamily historyEOC riskFirst-degree family historyModifiable risk factorsMultivariable logistic regressionOvarian cancer incidenceRisk factor associationsCancer Epidemiology StudyEthnic differencesAsian/Pacific IslandersOvarian cancer etiologyBlack womenInvasive EOCPooled analysisEpidemiological characteristicsCancer incidenceOvarian cancerHigh prevalenceAssociation 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 investigationHistory of hypertension, heart disease, and diabetes and ovarian cancer patient survival: evidence from the ovarian cancer association consortium
Minlikeeva AN, Freudenheim JL, Cannioto RA, Szender JB, Eng KH, Modugno F, Ness RB, LaMonte MJ, Friel G, Segal BH, Odunsi K, Mayor P, Zsiros E, Schmalfeldt B, Klapdor R, Dӧrk T, Hillemanns P, Kelemen LE, Kӧbel M, Steed H, de Fazio A, on behalf of the Australian Ovarian Cancer Study Group, Jordan SJ, Nagle CM, Risch HA, Rossing MA, Doherty JA, Goodman MT, Edwards R, Matsuo K, Mizuno M, Karlan BY, Kjær SK, Høgdall E, Jensen A, Schildkraut JM, Terry KL, Cramer DW, Bandera EV, Paddock LE, Kiemeney LA, Massuger LF, Kupryjanczyk J, Berchuck A, Chang-Claude J, Diergaarde B, Webb PM, Moysich KB, on behalf of the Ovarian Cancer Association Consortium. History of hypertension, heart disease, and diabetes and ovarian cancer patient survival: evidence from the ovarian cancer association consortium. Cancer Causes & Control 2017, 28: 469-486. PMID: 28293802, PMCID: PMC5500209, DOI: 10.1007/s10552-017-0867-1.Peer-Reviewed Original ResearchConceptsProgression-free survivalUse of diureticsHistory of hypertensionOral antidiabetic medicationsHazard ratioOvarian cancer patientsOvarian Cancer Association ConsortiumOverall survivalHistological subtypesHeart diseaseAntidiabetic medicationsBeta blockersConfidence intervalsCancer patientsCox proportional hazards regression modelOvarian cancer patient survivalProportional hazards regression modelsInvasive epithelial ovarian carcinomaOverall study populationEpithelial ovarian carcinomaUse of medicationsHazards regression modelsRisk of mortalityCancer patient survivalOvarian cancer diagnosisEpidemiologic 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 subtypeCigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies
Præstegaard C, Jensen A, Jensen SM, Nielsen TS, Webb PM, Nagle CM, DeFazio A, Group O, Høgdall E, Rossing M, Doherty J, Wicklund K, Goodman M, Modugno F, Moysich K, Ness R, Edwards R, Matsuo K, Hosono S, Goode E, Winham S, Fridley B, Cramer D, Terry K, Schildkraut J, Berchuck A, Bandera E, Paddock L, Massuger L, Wentzensen N, Pharoah P, Song H, Whittemore A, McGuire V, Sieh W, Rothstein J, Anton‐Culver H, Ziogas A, Menon U, Gayther S, Ramus S, Gentry‐Maharaj A, Wu A, Pearce C, Pike M, Lee A, Sutphen R, Chang‐Claude J, Risch H, Kjaer S, Consortium O. Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies. International Journal Of Cancer 2017, 140: 2422-2435. PMID: 28063166, PMCID: PMC5489656, DOI: 10.1002/ijc.30600.Peer-Reviewed Original ResearchConceptsPooled hazard ratioCigarette smokingOvarian Cancer Association ConsortiumOvarian cancerHazard ratioPooled analysisStudy-specific hazard ratiosLarge pooled analysisMucinous ovarian tumorsOvarian cancer stageEpithelial ovarian cancerOvarian cancer survivalConfidence intervalsOvarian cancer prognosisCase-control studyRandom-effects modelPotential clinical importanceMedian followAdverse survivalCurrent smokingDisseminated diseaseFormer smokersWorse survivalModifiable factorsOvarian tumorsSurvival predictors of Burkitt's lymphoma in children, adults and elderly in the United States during 2000–2013
Mukhtar F, Boffetta P, Risch HA, Park JY, Bubu OM, Womack L, Tran TV, Zgibor JC, Luu HN. Survival predictors of Burkitt's lymphoma in children, adults and elderly in the United States during 2000–2013. International Journal Of Cancer 2017, 140: 1494-1502. PMID: 28006853, PMCID: PMC6919213, DOI: 10.1002/ijc.30576.Peer-Reviewed Original ResearchConceptsPredictors of survivalBurkitt's lymphomaSurvival predictorsMultiple primariesAge groupsCox proportional hazards regression modelFive-year relative survivalProportional hazards regression modelsStage II diseaseStage IV diseaseEnd Results (SEER) databaseAfrican American raceHazards regression modelsBL patientsElderly patientsPrognostic factorsResults databaseWorse outcomesElderly groupStage IIIAmerican raceRelative survivalHigh mortalityLymphomaDisease
2016
Nonsteroidal 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 studiesRisk 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 polymorphismsLong 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 prognosis