2019
Serum gamma-glutamyltransferase and the overall survival of metastatic pancreatic cancer
Xiao Y, Yang H, Lu J, Li D, Xu C, Risch HA. Serum gamma-glutamyltransferase and the overall survival of metastatic pancreatic cancer. BMC Cancer 2019, 19: 1020. PMID: 31664937, PMCID: PMC6819453, DOI: 10.1186/s12885-019-6250-8.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaMetastatic pancreatic ductal adenocarcinomaOverall survivalSerum GGTSignificant dose-response associationCox proportional hazards modelMetastatic PDAC patientsDose-response associationMetastatic pancreatic cancerPancreatic cancer survivalSpecialized cancer hospitalBlood glucose levelsProportional hazards modelHazard ratioPrognostic roleCancer HospitalPDAC patientsCancer survivalSubgroup analysisPancreatic cancerDuctal adenocarcinomaMetastatic PCCancer occurrenceGlucose levelsMortality riskMendelian 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 ResearchMeSH KeywordsAdultAgedBody HeightBody Mass IndexFemaleGenes, BRCA1Genes, BRCA2HeterozygoteHumansMendelian Randomization AnalysisMenopauseMiddle AgedMutationOvarian NeoplasmsProportional Hazards ModelsConceptsBody 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 associationJoint exposure to smoking, excessive weight, and physical inactivity and survival of ovarian cancer patients, evidence from the Ovarian Cancer Association Consortium
Minlikeeva AN, Cannioto R, Jensen A, Kjaer SK, Jordan SJ, Diergaarde B, Szender JB, Odunsi K, Almohanna H, Mayor P, Starbuck K, Zsiros E, Bandera EV, Cramer DW, Doherty JA, DeFazio A, Edwards R, Goode E, Goodman M, Høgdall E, Matsuo K, Mizuno M, Nagle C, Ness R, Paddock L, Pearce C, Risch H, Rossing M, Terry K, Wu A, Modugno F, Webb P, Moysich K. Joint exposure to smoking, excessive weight, and physical inactivity and survival of ovarian cancer patients, evidence from the Ovarian Cancer Association Consortium. Cancer Causes & Control 2019, 30: 537-547. PMID: 30905014, PMCID: PMC6614876, DOI: 10.1007/s10552-019-01157-3.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Ovarian EpithelialFemaleHumansMotor ActivityObesityOvarian NeoplasmsOverweightProportional Hazards ModelsRisk FactorsSedentary BehaviorSmokingWeight GainConceptsProgression-free survivalOvarian cancer patientsOverweight/obesityBody mass indexPhysical inactivityCurrent smokingCancer patientsJoint exposureExcessive weightHazard ratioOverall survivalLifestyle factorsCox proportional hazards regression modelNormal body mass indexProportional hazards regression modelsInvasive epithelial ovarian carcinomaPurposePrevious epidemiologic studiesUnfavorable lifestyle factorsRisk of deathEpithelial ovarian carcinomaOvarian cancer survivalHazards regression modelsRisk of mortalityConfidence intervalsOvarian Cancer Association Consortium
2017
A pooled analysis of dietary sugar/carbohydrate intake and esophageal and gastric cardia adenocarcinoma incidence and survival in the USA
Li N, Petrick JL, Steck SE, Bradshaw PT, McClain KM, Niehoff NM, Engel LS, Shaheen NJ, Risch HA, Vaughan TL, Wu AH, Gammon MD. A pooled analysis of dietary sugar/carbohydrate intake and esophageal and gastric cardia adenocarcinoma incidence and survival in the USA. International Journal Of Epidemiology 2017, 46: 1836-1846. PMID: 29040685, PMCID: PMC5837717, DOI: 10.1093/ije/dyx203.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAgedBlood GlucoseBody Mass IndexCase-Control StudiesDietary CarbohydratesDietary SucroseEsophageal NeoplasmsFemaleGastroesophageal RefluxHumansIncidenceLogistic ModelsMaleMiddle AgedMultivariate AnalysisNutrition AssessmentProportional Hazards ModelsRisk FactorsStomach NeoplasmsUnited StatesConceptsGastro-esophageal reflux diseaseBody mass indexCarbohydrate intakeAdenocarcinoma incidenceGCA incidenceOdds ratioUS population-based case-control studyStudy-specific food-frequency questionnairesPopulation-based case-control studyCox proportional hazards regressionGlycaemic indexDietary glycaemic indexFood frequency questionnaireProportional hazards regressionCase-control studyIntake of sucroseHigh glycaemic indexCarbohydrate measuresFrequency questionnaireHazard ratioReflux diseaseMass indexHazards regressionVital statusPooled analysisUse 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 investigationRisk 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 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
Long non-coding RNAs, ASAP1-IT1, FAM215A, and LINC00472, in epithelial ovarian cancer
Fu Y, Biglia N, Wang Z, Shen Y, Risch HA, Lu L, Canuto EM, Jia W, Katsaros D, Yu H. Long non-coding RNAs, ASAP1-IT1, FAM215A, and LINC00472, in epithelial ovarian cancer. Gynecologic Oncology 2016, 143: 642-649. PMID: 27667152, PMCID: PMC5507336, DOI: 10.1016/j.ygyno.2016.09.021.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdenocarcinoma, Clear CellAdultAgedAged, 80 and overCarcinoma, EndometrioidCarcinoma, Ovarian EpithelialHumansMiddle AgedNeoplasm GradingNeoplasm StagingNeoplasms, Cystic, Mucinous, and SerousNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisProportional Hazards ModelsReverse Transcriptase Polymerase Chain ReactionRNA, Long NoncodingYoung AdultConceptsEpithelial ovarian cancerOvarian cancerStage diseasePatient survivalGrade tumorsASAP1-IT1Survival associationsLong non-coding RNAsCox proportional hazards regression modelPrimary epithelial ovarian cancerProportional hazards regression modelsTumor samplesFresh frozen tumor samplesHigh expressionEarly-stage diseaseFavorable overall survivalLate-stage diseaseHazards regression modelsLow-grade tumorsHigh-grade tumorsOvarian cancer progressionNon-coding RNAsImportant biological actionsOverall survivalPoor prognosisRecreational physical inactivity and mortality in women with invasive epithelial ovarian cancer: evidence from the Ovarian Cancer Association Consortium
Cannioto RA, LaMonte MJ, Kelemen LE, Risch HA, Eng KH, Minlikeeva AN, Hong CC, Szender JB, Sucheston-Campbell L, Joseph JM, Berchuck A, Chang-Claude J, Cramer DW, DeFazio A, Diergaarde B, Dörk T, Doherty JA, Edwards RP, Fridley BL, Friel G, Goode EL, Goodman MT, Hillemanns P, Hogdall E, Hosono S, Kelley JL, Kjaer SK, Klapdor R, Matsuo K, Odunsi K, Nagle CM, Olsen CM, Paddock LE, Pearce CL, Pike MC, Rossing MA, Schmalfeldt B, Segal BH, Szamreta EA, Thompson PJ, Tseng CC, Vierkant R, Schildkraut JM, Wentzensen N, Wicklund KG, Winham SJ, Wu AH, Modugno F, Ness RB, Jensen A, Webb PM, Terry K, Bandera EV, Moysich KB, on behalf of The Australian Ovarian Cancer Study Group. Recreational physical inactivity and mortality in women with invasive epithelial ovarian cancer: evidence from the Ovarian Cancer Association Consortium. British Journal Of Cancer 2016, 115: 95-101. PMID: 27299959, PMCID: PMC4931371, DOI: 10.1038/bjc.2016.153.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Ovarian EpithelialExerciseFemaleHumansMiddle AgedNeoplasms, Glandular and EpithelialOvarian NeoplasmsProportional Hazards ModelsRecreationRisk FactorsConceptsRecreational physical activityOvarian Cancer Association ConsortiumInvasive EOCHazard ratioPhysical inactivityPooled analysisPhysical activityEpithelial ovarian cancer survivalWeekly recreational physical activityInvasive epithelial ovarian cancerCox proportional hazards modelLarge pooled analysisRecreational physical inactivityPhysical activity guidelinesEpithelial ovarian cancerOvarian cancer survivalConfidence intervalsHigher mortality riskProportional hazards modelActivity guidelinesResidual diseaseCancer survivalPrimary diagnosisOvarian cancerInactive womenLIN-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
Prognostic value of INPP4B protein immunohistochemistry in ovarian cancer.
Salmena L, Shaw P, Fans I, McLaughlin, Rosen B, Risch H, Mitchell C, Sun P, Narod SA, Kotsopoulos J. Prognostic value of INPP4B protein immunohistochemistry in ovarian cancer. European Journal Of Gynaecological Oncology 2015, 36: 260-7. PMID: 26189250.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdultAgedBiomarkers, TumorCarcinoma, EndometrioidCarcinoma, Ovarian EpithelialFemaleHumansImmunohistochemistryMiddle AgedNeoplasm StagingNeoplasms, Cystic, Mucinous, and SerousNeoplasms, Glandular and EpithelialOvarian NeoplasmsPhosphoric Monoester HydrolasesPrognosisProportional Hazards ModelsPTEN PhosphohydrolaseTumor Suppressor Protein p53Young AdultConceptsAberrant p53 expressionOvarian cancerP53 expressionHazard ratioLoss of PTENOvarian tumorsOvarian cancer tissue samplesEndometrioid ovarian tumorsProtein expressionSurvival hazard ratioEpithelial ovarian tumorsPoor disease outcomePossible prognostic roleProportional hazards modelCancer tissue samplesPrognostic roleEndometrioid tumorsEndometrioid subtypePrognostic valuePoor prognosisSerous subtypeProtein immunohistochemistryDisease outcomeTissue microarrayHazards modelSurvival in women with ovarian cancer with and without microsatellite instability.
Segev Y, Zhang S, Akbari MR, Sun P, Sellers TA, McLaughlin J, Risch HA, Rosen B, Shaw P, Schildkraut J, Narod SA, Pal T. Survival in women with ovarian cancer with and without microsatellite instability. European Journal Of Gynaecological Oncology 2015, 36: 681-4. PMID: 26775351.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedFemaleHumansMaleMicrosatellite InstabilityMiddle AgedOvarian NeoplasmsProportional Hazards ModelsConceptsPresence of MSIEpithelial ovarian cancerOvarian cancerMicrosatellite instabilityPrognostic factorsMSI statusNational Cancer Institute criteriaSpecific prognostic factorsPopulation-based studyOvarian cancer patientsHazard ratioPathologic featuresCancer patientsSubgroup analysisDefective mismatch repairSurvival differencesMulti-variate analysisCancerTumor samplesMSI markersSignificant differencesPatientsSurvivalWomenMismatch repair
2013
PPM1D Mutations in Circulating White Blood Cells and the Risk for Ovarian Cancer
Akbari MR, Lepage P, Rosen B, McLaughlin J, Risch H, Minden M, Narod SA. PPM1D Mutations in Circulating White Blood Cells and the Risk for Ovarian Cancer. Journal Of The National Cancer Institute 2013, 106: djt323. PMID: 24262437, DOI: 10.1093/jnci/djt323.Peer-Reviewed Original ResearchMeSH KeywordsAgedBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCanadaCase-Control StudiesFemaleGenetic Predisposition to DiseaseHeterozygoteHumansIncidenceLeukocytesMiddle AgedMutationOdds RatioOvarian NeoplasmsPhosphoprotein PhosphatasesProportional Hazards ModelsProtein Phosphatase 2CRisk AssessmentRisk FactorsConceptsCase patientsWhite blood cellsOvarian cancerControl subjectsOvarian cancer case patientsFemale first-degree relativesBlood cellsCancer case patientsFirst-degree relativesLifetime riskBreast cancerFamily historyMutation carriersPatientsCancerPast historyTruncating mutationsBreastRiskMutationsSubjectsCellsNoncarriersMortalityWomenThe Healthy Eating Index 2005 and Risk for Pancreatic Cancer in the NIH–AARP Study
Arem H, Reedy J, Sampson J, Jiao L, Hollenbeck AR, Risch H, Mayne ST, Stolzenberg-Solomon RZ. The Healthy Eating Index 2005 and Risk for Pancreatic Cancer in the NIH–AARP Study. Journal Of The National Cancer Institute 2013, 105: 1298-1305. PMID: 23949329, PMCID: PMC3760780, DOI: 10.1093/jnci/djt185.Peer-Reviewed Original ResearchConceptsHealthy Eating Index 2005Pancreatic cancer riskPancreatic cancerHazard ratioDietary guidelinesCancer riskExocrine pancreatic cancer casesOverweight/obese menCox proportional hazards regressionHealth-American AssociationP-interaction valuesRetired Persons DietFood frequency questionnaireNormal-weight menDietary pattern analysisBody mass indexProportional hazards regressionConfidence intervalsPancreatic cancer casesNIH-AARP studyFrequency questionnaireObese menMass indexHazards regressionWeight menDietary fat intake and risk of pancreatic cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial
Arem H, Mayne ST, Sampson J, Risch H, Stolzenberg-Solomon RZ. Dietary fat intake and risk of pancreatic cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Annals Of Epidemiology 2013, 23: 571-575. PMID: 23890797, PMCID: PMC3752990, DOI: 10.1016/j.annepidem.2013.06.006.Peer-Reviewed Original ResearchConceptsDietary fat intakePancreatic cancer riskOvarian Cancer Screening TrialCancer Screening TrialFat intakeCancer riskInverse associationPancreatic cancerScreening TrialCox proportional hazards regressionTotal fat intakeProportional hazards regressionObserved inverse associationPancreatic cancer casesHazards regressionCancer casesRisk associationUndetected diseasePossible reverse causationDietary changesIntakeReverse causationColorectalFat typeRisk
2012
Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer
Lu L, Zhu G, Zhang C, Deng Q, Katsaros D, Mayne ST, Risch HA, Mu L, Canuto EM, Gregori G, Benedetto C, Yu H. Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer. Breast Cancer Research And Treatment 2012, 136: 875-883. PMID: 23124417, DOI: 10.1007/s10549-012-2314-z.Peer-Reviewed Original ResearchConceptsPrimary breast cancerBreast cancerHOTAIR expressionPathologic featuresCox proportional hazards regression modelProportional hazards regression modelsLow HOTAIR expressionUnfavorable disease characteristicsHazards regression modelsIndependent prognostic markerHigh HOTAIR expressionBreast cancer progressionQuantitative RT-PCRPatient survivalDisease characteristicsMethylation-specific PCRPrognostic markerLower riskSignificant associationRNA HOTAIRCancerCancer progressionBiologic relevanceRT-PCRDNA methylationHeight, weight, BMI and ovarian cancer survival
Kotsopoulos J, Moody JR, Fan I, Rosen B, Risch HA, McLaughlin JR, Sun P, Narod SA. Height, weight, BMI and ovarian cancer survival. Gynecologic Oncology 2012, 127: 83-87. PMID: 22713293, DOI: 10.1016/j.ygyno.2012.05.038.Peer-Reviewed Original ResearchConceptsBody mass indexOvarian cancer survivalOvarian cancer-specific mortalityCancer-specific mortalityHazard ratioCancer survivalOvarian cancerLarge population-based studyBMI 5 yearsFatal gynecologic malignancyPopulation-based studyEpithelial ovarian cancerConfidence intervalsOvarian cancer prognosisProportional hazards modelChart reviewGynecologic malignanciesClinicopathologic featuresHistologic subtypeMass indexVital statusModifiable factorsRisk factorsHazards modelCancer prognosis
2011
Genetic Effects and Modifiers of Radiotherapy and Chemotherapy on Survival in Pancreatic Cancer
Zeng H, Yu H, Lu L, Jain D, Kidd MS, Saif MW, Chanock SJ, Hartge P, Risch H. Genetic Effects and Modifiers of Radiotherapy and Chemotherapy on Survival in Pancreatic Cancer. Pancreas 2011, 40: 657-663. PMID: 21487324, PMCID: PMC3116071, DOI: 10.1097/mpa.0b013e31821268d1.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overATP Binding Cassette Transporter, Subfamily G, Member 2ATP-Binding Cassette TransportersCase-Control StudiesConnecticutDihydrouracil Dehydrogenase (NADP)FemaleGenetic MarkersGenetic VariationGenome-Wide Association StudyHumansMaleMiddle AgedNeoplasm ProteinsPancreatic NeoplasmsPolymorphism, Single NucleotidePrognosisProportional Hazards ModelsSerpinsSurvival AnalysisTreatment OutcomeConceptsPancreatic cancerOverall survivalCancer survivalProportional hazards regression modelsSurvival of patientsPopulation-based studyPancreatic cancer survivalHazards regression modelsGerm-line genetic variationEvidence of associationClinical outcomesCancer patientsTreatment outcomesTreatment responseSignificant associationPatientsCancerPrevious genome-wide association study dataRadiotherapyPutative markerGenetic polymorphismsSurvivalDPYD geneChemotherapyEvidence of interaction