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 regressionCancerDiagnosis
2018
Adult 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
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 cancerDivisionRisk of breast cancer after a diagnosis of ovarian cancer in BRCA mutation carriers: Is preventive mastectomy warranted?
McGee J, Giannakeas V, Karlan B, Lubinski J, Gronwald J, Rosen B, McLaughlin J, Risch H, Sun P, Foulkes WD, Neuhausen SL, Kotsopoulos J, Narod SA, Group O. Risk of breast cancer after a diagnosis of ovarian cancer in BRCA mutation carriers: Is preventive mastectomy warranted? Gynecologic Oncology 2017, 145: 346-351. PMID: 28314588, DOI: 10.1016/j.ygyno.2017.02.032.Peer-Reviewed Original ResearchConceptsBRCA mutation carriersOvarian cancer patientsOvarian cancerBreast cancerMutation carriersPreventive mastectomyCancer patientsActuarial riskStage III/IV ovarian cancerUnaffected BRCA mutation carriersEarly-stage ovarian cancerBreast cancer incidenceStage ovarian cancerMutation-carrying patientsProportional hazards modelCause of mortalityImpact of mastectomyOvarian cancer diagnosisProbability of deathBreast surveillanceCause mortalityAnnual mortality rateClinical benefitBreast surgeryInternational registryCigarette 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 tumors
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 studiesLong 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 prognosisAdult body mass index and risk of ovarian cancer by subtype: a Mendelian randomization study
Dixon SC, Nagle CM, Thrift AP, Pharoah PD, Pearce CL, Zheng W, Painter JN, Study A, Chenevix-Trench G, Fasching P, Beckmann M, Lambrechts D, Vergote I, Lambrechts S, Van Nieuwenhuysen E, Rossing M, Doherty J, Wicklund K, Chang-Claude J, Rudolph A, Moysich K, Odunsi K, Goodman M, Wilkens L, Thompson P, Shvetsov Y, Dörk T, Park-Simon T, Hillemanns P, Bogdanova N, Butzow R, Nevanlinna H, Pelttari L, Leminen A, Modugno F, Ness R, Edwards R, Kelley J, Heitz F, Karlan B, Kjær S, Høgdall E, Jensen A, Goode E, Fridley B, Cunningham J, Winham S, Giles G, Bruinsma F, Milne R, Southey M, Hildebrandt M, Wu X, Lu K, Liang D, Levine D, Bisogna M, Schildkraut J, Berchuck A, Cramer D, Terry K, Bandera E, Olson S, Salvesen H, Thomsen L, Kopperud R, Bjorge L, Kiemeney L, Massuger L, Pejovic T, Cook L, Le N, Swenerton K, Brooks-Wilson A, Kelemen L, Lubiński J, Huzarski T, Gronwald J, Menkiszak J, Wentzensen N, Brinton L, Yang H, Lissowska J, Høgdall C, Lundvall L, Song H, Tyrer J, Campbell I, Eccles D, Paul J, Glasspool R, Siddiqui N, Whittemore A, Sieh W, McGuire V, Rothstein J, Narod S, Phelan C, Risch H, McLaughlin J, Anton-Culver H, Ziogas A, Menon U, Gayther S, Ramus S, Gentry-Maharaj A, Wu A, Pike M, Tseng C, Kupryjanczyk J, Dansonka-Mieszkowska A, Budzilowska A, Spiewankiewicz B, Webb P, Consortium O. Adult body mass index and risk of ovarian cancer by subtype: a Mendelian randomization study. International Journal Of Epidemiology 2016, 45: 884-895. PMID: 27401727, PMCID: PMC5644573, DOI: 10.1093/ije/dyw158.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAllelesBody Mass IndexFemaleGenetic MarkersGenome-Wide Association StudyGenotypeHumansLogistic ModelsMendelian Randomization AnalysisMeta-Analysis as TopicMiddle AgedMultivariate AnalysisObesityOvarian NeoplasmsPolymorphism, Single NucleotideRisk FactorsYoung AdultConceptsBody mass indexOvarian cancerSerous cancerMass indexOdds ratioObservational studyMendelian randomizationStudy-specific odds ratiosHigher body mass indexAdult body mass indexGrade serous ovarian cancerConfidence intervalsOvarian cancer riskOvarian Cancer Association ConsortiumSerous ovarian cancerWeighted genetic risk scoreLack of associationMendelian randomization studyGenetic risk scoreStrength of associationHistological subtypesRisk factorsCancer riskRisk scoreHGSC subtypeLIN-28B/let-7a/IGF-II axis molecular subtypes are associated with epithelial ovarian cancer prognosis
Lu L, Katsaros D, Canuto EM, Biglia N, Risch HA, Yu H. LIN-28B/let-7a/IGF-II axis molecular subtypes are associated with epithelial ovarian cancer prognosis. Gynecologic Oncology 2016, 141: 121-127. PMID: 26751131, DOI: 10.1016/j.ygyno.2015.12.035.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancer prognosisOvarian cancer prognosisMolecular subtypesCancer prognosisSurvival analysisMultivariate Cox regression modelKaplan-Meier survival curvesEpithelial ovarian cancer tissuesCox regression modelEpithelial ovarian cancerReduced relapse riskOvarian cancer tissuesIGF-II mRNAQuantitative reverse transcription PCRRelapse riskReverse transcription-PCROvarian cancerBetter survivalCancer tissuesLin-28BSurvival curvesClinical implicationsIGFPrognosisSubtypes
2015
Age‐specific risk factor profiles of adenocarcinomas of the esophagus: A pooled analysis from the international BEACON consortium
Drahos J, Xiao Q, Risch HA, Freedman ND, Abnet CC, Anderson LA, Bernstein L, Brown L, Chow W, Gammon MD, Kamangar F, Liao LM, Murray LJ, Ward MH, Ye W, Wu AH, Vaughan TL, Whiteman DC, Cook MB. Age‐specific risk factor profiles of adenocarcinomas of the esophagus: A pooled analysis from the international BEACON consortium. International Journal Of Cancer 2015, 138: 55-64. PMID: 26175109, PMCID: PMC4607633, DOI: 10.1002/ijc.29688.Peer-Reviewed Original ResearchConceptsBody mass indexNonsteroidal anti-inflammatory drugsRecurrent gastroesophageal refluxGastroesophageal refluxOlder age groupsAge groupsOdds ratioInternational BEACON ConsortiumRisk factor profileMultivariable logistic regressionEsophagogastric junction adenocarcinomaConfidence intervalsCase-control studyAge-specific associationsAge-specific riskAnti-inflammatory drugsEsophageal Adenocarcinoma ConsortiumIndividual participant dataInternational Barrett'sNSAID useJunction adenocarcinomaMass indexSmoking statusCigarette smokingEA patientsTERT gene harbors multiple variants associated with pancreatic cancer susceptibility
Campa D, Rizzato C, Stolzenberg-Solomon R, Pacetti P, Vodicka P, Cleary SP, Capurso G, Bueno-de-Mesquita HB, Werner J, Gazouli M, Butterbach K, Ivanauskas A, Giese N, Petersen GM, Fogar P, Wang Z, Bassi C, Ryska M, Theodoropoulos GE, Kooperberg C, Li D, Greenhalf W, Pasquali C, Hackert T, Fuchs CS, Mohelnikova-Duchonova B, Sperti C, Funel N, Dieffenbach AK, Wareham NJ, Buring J, Holcátová I, Costello E, Zambon CF, Kupcinskas J, Risch HA, Kraft P, Bracci PM, Pezzilli R, Olson SH, Sesso HD, Hartge P, Strobel O, Małecka-Panas E, Visvanathan K, Arslan AA, Pedrazzoli S, Souček P, Gioffreda D, Key TJ, Talar-Wojnarowska R, Scarpa A, Mambrini A, Jacobs EJ, Jamroziak K, Klein A, Tavano F, Bambi F, Landi S, Austin MA, Vodickova L, Brenner H, Chanock SJ, Delle Fave G, Piepoli A, Cantore M, Zheng W, Wolpin BM, Amundadottir LT, Canzian F. TERT gene harbors multiple variants associated with pancreatic cancer susceptibility. International Journal Of Cancer 2015, 137: 2175-2183. PMID: 25940397, PMCID: PMC4548797, DOI: 10.1002/ijc.29590.Peer-Reviewed Original ResearchConceptsPancreatic cancer riskCancer riskTelomerase reverse transcriptasePancreatic cancerSingle nucleotide polymorphismsAdditional single nucleotide polymorphismsTelomerase RNA component genePancreatic cancer susceptibilitySignificant associationCommon susceptibility lociCancer susceptibilityStatistical significanceRs401681RiskReverse transcriptaseTERT locusCancerDisease researchMultiple testingNucleotide polymorphismsLinkage disequilibriumIndependent variantsSusceptibility lociDetectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis
Risch HA, Yu H, Lu L, Kidd MS. Detectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis. American Journal Of Epidemiology 2015, 182: 26-34. PMID: 26049860, PMCID: PMC4479115, DOI: 10.1093/aje/kwv026.Peer-Reviewed Original ResearchConceptsPancreatic cancer diagnosisAbsolute riskPancreatic cancerRecent diagnosisRisk factorsEnd Results (SEER) incidence dataUS Surveillance EpidemiologyCancer diagnosisCurrent cigarette smokingLow lifetime riskABO blood groupDiabetes mellitusSurveillance EpidemiologyCigarette smokingSurvival durationLifetime riskHigh riskPancreatic causesCancerBlood groupRisk estimatesDiagnosisIncidence dataSymptomatologyRiskDietary flavonoid intake and Barrett's esophagus in western Washington State
Petrick JL, Steck SE, Bradshaw PT, Chow WH, Engel LS, He K, Risch HA, Vaughan TL, Gammon MD. Dietary flavonoid intake and Barrett's esophagus in western Washington State. Annals Of Epidemiology 2015, 25: 730-735.e2. PMID: 26169148, PMCID: PMC4567908, DOI: 10.1016/j.annepidem.2015.05.010.Peer-Reviewed Original ResearchConceptsOdds of BESpecialized intestinal metaplasiaBarrett's esophagusOdds ratioIntestinal metaplasiaInverse associationPrecursor lesionsWestern Washington StateDietary flavonoid intakeDecreased odds ratioFood frequency questionnaireAdequate dietary intakeBody mass indexCase-control investigationCancer precursor lesionsCase-control study participantsDietary sourcesLogistic regression modelsFlavonoid classesMain dietary sourceAnthocyanidin intakeFrequency questionnaireFlavonoid intakeMass indexIsoflavone intakeAssociation between Helicobacter pylori and pancreatic cancer risk: a meta-analysis
Schulte A, Pandeya N, Fawcett J, Fritschi L, Risch HA, Webb PM, Whiteman DC, Neale RE. Association between Helicobacter pylori and pancreatic cancer risk: a meta-analysis. Cancer Causes & Control 2015, 26: 1027-1035. PMID: 25951801, DOI: 10.1007/s10552-015-0595-3.Peer-Reviewed Original ResearchConceptsH. pylori seropositivityPancreatic cancer riskPylori seropositivityPancreatic cancerOdds ratioCancer riskAustralian population-based case-control studyConfidence intervalsH. pyloriPopulation-based case-control studyHelicobacter pyloriOverall associationStrain-specific associationsLaird random-effects modelAdjusted odds ratioCase-control studyCytotoxin-associated geneSignificant overall associationRandom-effects modelEnzyme-linked immunosorbentPancreatic cancer studiesCagA seropositivityMethodsBlood samplesEpidemiological studiesSeropositivityPrognostic and predictive values of long non-coding RNA LINC00472 in breast cancer
Shen Y, Katsaros D, Loo LW, Hernandez BY, Chong C, Canuto EM, Biglia N, Lu L, Risch H, Chu WM, Yu H. Prognostic and predictive values of long non-coding RNA LINC00472 in breast cancer. Oncotarget 2015, 6: 8579-8592. PMID: 25865225, PMCID: PMC4496168, DOI: 10.18632/oncotarget.3287.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalBreast NeoplasmsCarcinomaCell DivisionCell Line, TumorCell MovementChemotherapy, AdjuvantDisease-Free SurvivalFemaleGene ExpressionGenes, Tumor SuppressorGenetic VectorsHumansMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisRecurrenceRiskRNARNA, Long NoncodingRNA, NeoplasmTissue Array AnalysisTreatment OutcomeYoung AdultConceptsLINC00472 expressionBreast cancerPredictive valueBreast tumorsLow expressionBreast cancer cell proliferationFavorable molecular subtypesNormal-like tumorsFavorable disease outcomeAggressive breast tumorsRisk of relapseCell proliferationCancer cell proliferationBreast cancer cellsBreast tumor samplesAdjuvant chemoHormonal therapyLuminal AClinical managementDisease outcomeGene Expression Omnibus databaseMolecular subtypesLong non-coding RNALINC00472Tumor samplesOccupational exposure to N-nitrosamines and pesticides and risk of pancreatic cancer
Fritschi L, Benke G, Risch HA, Schulte A, Webb PM, Whiteman DC, Fawcett J, Neale RE. Occupational exposure to N-nitrosamines and pesticides and risk of pancreatic cancer. Occupational And Environmental Medicine 2015, 72: 678. PMID: 25780030, DOI: 10.1136/oemed-2014-102522.Peer-Reviewed Original ResearchConceptsCase-control studyOccupational exposurePancreatic cancerPopulation-based case-control studyLarge case-control studyLifetime job historiesPancreatic cancer developmentCigarette smokingLifestyle factorsFrequency of exposureLikelihood of exposureAnimal evidenceIncrease riskPancreatic carcinogenCancer developmentN-nitrosaminesOccupational hygienistsCancerSuch exposureJob historyRiskExposureAssociationSmokingSpecific questionsInfertility and incident endometrial cancer risk: a pooled analysis from the epidemiology of endometrial cancer consortium (E2C2)
Yang HP, Cook LS, Weiderpass E, Adami HO, Anderson KE, Cai H, Cerhan JR, Clendenen TV, Felix AS, Friedenreich CM, Garcia-Closas M, Goodman MT, Liang X, Lissowska J, Lu L, Magliocco AM, McCann SE, Moysich KB, Olson SH, Petruzella S, Pike MC, Polidoro S, Ricceri F, Risch HA, Sacerdote C, Setiawan VW, Shu XO, Spurdle AB, Trabert B, Webb PM, Wentzensen N, Xiang YB, Xu Y, Yu H, Zeleniuch-Jacquotte A, Brinton LA. Infertility and incident endometrial cancer risk: a pooled analysis from the epidemiology of endometrial cancer consortium (E2C2). British Journal Of Cancer 2015, 112: 925-933. PMID: 25688738, PMCID: PMC4453954, DOI: 10.1038/bjc.2015.24.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskCancer riskInfertility causesOdds ratioElevated endometrial cancer riskEndometrial cancer risk factorsEndometrial Cancer ConsortiumSelf-reported infertilityAdjusted odds ratioCancer risk factorsConfidence intervalsCase-control studyStudy-specific definitionsParous womenEndometrial cancerNulliparous womenPooled analysisNational registryRisk factorsCancer ConsortiumInfertilityNulliparityInfertility concernsInfertility dataLarger studyMicroRNA let‐7a modifies the effect of self‐renewal gene HIWI on patient survival of epithelial ovarian cancer
Lu L, Katsaros D, Risch HA, Canuto EM, Biglia N, Yu H. MicroRNA let‐7a modifies the effect of self‐renewal gene HIWI on patient survival of epithelial ovarian cancer. Molecular Carcinogenesis 2015, 55: 357-365. PMID: 25630839, DOI: 10.1002/mc.22285.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerKaplan-Meier survival curvesOverall survivalHIWI expressionLet-7a expressionPatient survivalLet-7aClinical relevanceMultivariate Cox proportional hazards regression analysisCox proportional hazards regression analysisCox proportional hazards regression modelSurvival curvesProportional hazards regression analysisProportional hazards regression modelsLow let-7aHazards regression analysisRisk of deathPoor overall survivalHazards regression modelsMiRNA let-7aPrimary EOC tissuesQuantitative reverse transcription PCRU-shape associationEOC prognosisPrognostic significance
2014
Plasma Metabolite Biomarkers for the Detection of Pancreatic Cancer
Xie G, Lu L, Qiu Y, Ni Q, Zhang W, Gao YT, Risch HA, Yu H, Jia W. Plasma Metabolite Biomarkers for the Detection of Pancreatic Cancer. Journal Of Proteome Research 2014, 14: 1195-1202. PMID: 25429707, PMCID: PMC4324440, DOI: 10.1021/pr501135f.Peer-Reviewed Original Research