2023
Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
Wang Z, Katsaros D, Wang J, Biglio N, Hernandez B, Fei P, Lu L, Risch H, Yu H. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival. Scientific Reports 2023, 13: 18962. PMID: 37923775, PMCID: PMC10624674, DOI: 10.1038/s41598-023-45932-4.Peer-Reviewed Original ResearchConceptsImmune cell clustersT cellsHost immunityImmune cellsUnsupervised hierarchical clusteringImmune responseCD8-positive T cellsMemory CD4 T cellsCox regression survival analysisRegulatory T cellsPositive T cellsCD4 T cellsDifferent immune cellsDistinct immune responsesBreast cancer survivalImmune cell subtypesMemory B cellsImmune cell typesRegression survival analysisCell clustersBreast cancer progressionT cell receptor signalingCytokine stormOverall survivalFavorable survival
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 riskJoint 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 ResearchConceptsProgression-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
Randomized Trial of Exercise on Quality of Life in Women With Ovarian Cancer: Women’s Activity and Lifestyle Study in Connecticut (WALC)
Zhou Y, Cartmel B, Gottlieb L, Ercolano EA, Li F, Harrigan M, McCorkle R, Ligibel JA, von Gruenigen VE, Gogoi R, Schwartz PE, Risch HA, Irwin ML. Randomized Trial of Exercise on Quality of Life in Women With Ovarian Cancer: Women’s Activity and Lifestyle Study in Connecticut (WALC). Journal Of The National Cancer Institute 2017, 109: djx072. PMID: 30053074, PMCID: PMC6515522, DOI: 10.1093/jnci/djx072.Peer-Reviewed Original ResearchConceptsCancer-related fatigueOvarian cancer survivorsOvarian cancerCancer survivorsExercise interventionPhysical HRQoLCommunity-based exercise programSix-month RCTHealth-related qualityPrimary care providersTreatment side effectsGroup differencesSix-month assessmentQuality of lifeExercise armOverall survivalHigher HRQoLExercise programMental HRQOLRandomized trialsLifestyle StudyControl armFatigue scoresHRQoLPhysical activityUse 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 diagnosis
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 prognosis
2015
Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium
Nagle CM, Dixon SC, Jensen A, Kjaer SK, Modugno F, deFazio A, Fereday S, Hung J, Johnatty SE, Fasching P, Beckmann M, Lambrechts D, Vergote I, Van Nieuwenhuysen E, Lambrechts S, Risch H, Rossing M, Doherty J, Wicklund K, Chang-Claude J, Goodman M, Ness R, Moysich K, Heitz F, du Bois A, Harter P, Schwaab I, Matsuo K, Hosono S, Goode E, Vierkant R, Larson M, Fridley B, Høgdall C, Schildkraut J, Weber R, Cramer D, Terry K, Bandera E, Paddock L, Rodriguez-Rodriguez L, Wentzensen N, Yang H, Brinton L, Lissowska J, Høgdall E, Lundvall L, Whittemore A, McGuire V, Sieh W, Rothstein J, Sutphen R, Anton-Culver H, Ziogas A, Pearce C, Wu A, Webb P. Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium. British Journal Of Cancer 2015, 113: 817-826. PMID: 26151456, PMCID: PMC4559823, DOI: 10.1038/bjc.2015.245.Peer-Reviewed Original ResearchConceptsProgression-free survivalBody mass indexOvarian cancer-specific survivalCancer-specific survivalOvarian cancerHazard ratioHistologic subtypeOverall survivalHigh-grade serous cancerHigher Body Mass IndexInvasive ovarian cancerPooled hazard ratioDifferent histologic subtypesOvarian Cancer Association ConsortiumMajority of womenRandom-effects modelAdverse survivalPooled HRsSerous cancerEndometrioid subtypeMass indexOvarian carcinomaObservational studyModest associationCancerNo clinical utility of KRAS variant rs61764370 for ovarian or breast cancer
Ovarian Cancer Association Consortium B, Hollestelle A, van der Baan FH, Berchuck A, Johnatty SE, Aben KK, Agnarsson BA, Aittomäki K, Alducci E, Andrulis IL, Anton-Culver H, Antonenkova NN, Antoniou AC, Apicella C, Arndt V, Arnold N, Arun BK, Arver B, Ashworth A, Group A, Baglietto L, Balleine R, Bandera EV, Barrowdale D, Bean YT, Beckmann L, Beckmann MW, Benitez J, Berger A, Berger R, Beuselinck B, Bisogna M, Bjorge L, Blomqvist C, Bogdanova NV, Bojesen A, Bojesen SE, Bolla MK, Bonanni B, Brand JS, Brauch H, Register B, Brenner H, Brinton L, Brooks-Wilson A, Bruinsma F, Brunet J, Brüning T, Budzilowska A, Bunker CH, Burwinkel B, Butzow R, Buys SS, Caligo MA, Campbell I, Carter J, Chang-Claude J, Chanock SJ, Claes KBM, Collée JM, Cook LS, Couch FJ, Cox A, Cramer D, Cross SS, Cunningham JM, Cybulski C, Czene K, Damiola F, Dansonka-Mieszkowska A, Darabi H, de la Hoya M, deFazio A, Dennis J, Devilee P, Dicks EM, Diez O, Doherty JA, Domchek SM, Dorfling CM, Dörk T, Dos Santos Silva I, du Bois A, Dumont M, Dunning AM, Duran M, Easton DF, Eccles D, Edwards RP, Ehrencrona H, Ejlertsen B, Ekici AB, Ellis SD, EMBRACE, Engel C, Eriksson M, Fasching PA, Feliubadalo L, Figueroa J, Flesch-Janys D, Fletcher O, Fontaine A, Fortuzzi S, Fostira F, Fridley BL, Friebel T, Friedman E, Friel G, Frost D, Garber J, García-Closas M, Gayther SA, Collaborators G, Network G, Gentry-Maharaj A, Gerdes AM, Giles GG, Glasspool R, Glendon G, Godwin AK, Goodman MT, Gore M, Greene MH, Grip M, Gronwald J, Kaulich D, Guénel P, Guzman SR, Haeberle L, Haiman CA, Hall P, Halverson SL, Hamann U, Hansen TVO, Harter P, Hartikainen JM, Healey S, HEBON, Hein A, Heitz F, Henderson BE, Herzog J, Hildebrandt M, Høgdall CK, Høgdall E, Hogervorst FBL, Hopper JL, Humphreys K, Huzarski T, Imyanitov EN, Isaacs C, Jakubowska A, Janavicius R, Jaworska K, Jensen A, Jensen UB, Johnson N, Jukkola-Vuorinen A, Kabisch M, Karlan BY, Kataja V, Kauff N, Investigators K, Kelemen LE, Kerin MJ, Kiemeney LA, Kjaer SK, Knight JA, Knol-Bout JP, Konstantopoulou I, Kosma VM, Krakstad C, Kristensen V, Kuchenbaecker KB, Kupryjanczyk J, Laitman Y, Lambrechts D, Lambrechts S, Larson MC, Lasa A, Laurent-Puig P, Lazaro C, Le ND, Le Marchand L, Leminen A, Lester J, Levine DA, Li J, Liang D, Lindblom A, Lindor N, Lissowska J, Long J, Lu KH, Lubinski J, Lundvall L, Lurie G, L. P, Mannermaa A, Margolin S, Mariette F, Marme F, Martens JWM, Massuger LFAG, Maugard C, Mazoyer S, McGuffog L, McGuire V, McLean C, McNeish I, Meindl A, Menegaux F, Menéndez P, Menkiszak J, Menon U, Mensenkamp AR, Miller N, Milne RL, Modugno F, Montagna M, Moysich KB, Müller H, Mulligan AM, Muranen TA, Narod SA, Nathanson KL, Ness RB, Neuhausen SL, Nevanlinna H, Neven P, Nielsen FC, Nielsen SF, Nordestgaard BG, Nussbaum RL, Odunsi K, Offit K, Olah E, Olopade OI, Olson JE, Olson SH, Oosterwijk JC, Orlow I, Orr N, Orsulic S, Osorio A, Ottini L, Paul J, Pearce CL, Pedersen IS, Peissel B, Pejovic T, Pelttari LM, Perkins J, Permuth-Wey J, Peterlongo P, Peto J, Phelan CM, Phillips KA, Piedmonte M, Pike MC, Platte R, Plisiecka-Halasa J, Poole EM, Poppe B, Pylkäs K, Radice P, Ramus SJ, Rebbeck TR, Reed MWR, Rennert G, Risch HA, Robson M, Rodriguez GC, Romero A, Rossing MA, Rothstein JH, Rudolph A, Runnebaum I, Salani R, Salvesen HB, Sawyer EJ, Schildkraut JM, Schmidt MK, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schrauder MG, Schumacher F, Schwaab I, Scuvera G, Sellers TA, Severi G, Seynaeve CM, Shah M, Shrubsole M, Siddiqui N, Sieh W, Simard J, Singer CF, Sinilnikova OM, Smeets D, Sohn C, Soller M, Song H, Soucy P, Southey MC, Stegmaier C, Stoppa-Lyonnet D, Sucheston L, SWE-BRCA, Swerdlow A, Tangen IL, Tea MK, Teixeira MR, Terry KL, Terry MB, Thomassen M, Thompson PJ, Tihomirova L, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Torres D, Truong T, Tsimiklis H, Tung N, Tworoger SS, Tyrer JP, Vachon CM, Van 't Veer LJ, van Altena AM, Van Asperen CJ, van den Berg D, van den Ouweland AMW, van Doorn HC, Van Nieuwenhuysen E, van Rensburg EJ, Vergote I, Verhoef S, Vierkant RA, Vijai J, Vitonis AF, von Wachenfeldt A, Walsh C, Wang Q, Wang-Gohrke S, Wappenschmidt B, Weischer M, Weitzel JN, Weltens C, Wentzensen N, Whittemore AS, Wilkens LR, Winqvist R, Wu AH, Wu X, Yang HP, Zaffaroni D, Zamora M, Zheng W, Ziogas A, Chenevix-Trench G, Pharoah PDP, Rookus MA, Hooning MJ, Goode EL. No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer. Gynecologic Oncology 2015, 141: 386-401. PMID: 25940428, PMCID: PMC4630206, DOI: 10.1016/j.ygyno.2015.04.034.Peer-Reviewed Original ResearchConceptsBreast cancer riskBreast cancerClinical outcomesOvarian cancerCancer riskClinical utilityBreast Cancer Association ConsortiumOvarian Cancer Association ConsortiumClinical genetic testingOverall survivalMutation carriersSurvival timeSuggested associationsCancerGenetic testingParticular subgroupRs61764370RiskAssociationOutcomesPrior studiesPatientsWomenMicroRNA 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
2011
Physical activity and breast cancer survival: an epigenetic link through reduced methylation of a tumor suppressor gene L3MBTL1
Zeng H, Irwin ML, Lu L, Risch H, Mayne S, Mu L, Deng Q, Scarampi L, Mitidieri M, Katsaros D, Yu H. Physical activity and breast cancer survival: an epigenetic link through reduced methylation of a tumor suppressor gene L3MBTL1. Breast Cancer Research And Treatment 2011, 133: 127-135. PMID: 21837478, DOI: 10.1007/s10549-011-1716-7.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularChromosomal Proteins, Non-HistoneDNA MethylationEpigenesis, GeneticFemaleGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansKaplan-Meier EstimateMotor ActivityRepressor ProteinsTumor Suppressor ProteinsConceptsBreast cancer patientsBreast cancer survivalCancer patientsPhysical activityOverall survivalSurvival outcomesTumor suppressor geneCancer survivalHormone receptor-positive tumorsModerate-intensity aerobic exerciseHigh expressionBreast cancer deathsReceptor-positive tumorsRandomized clinical trialsExercise-related changesSuppressor genePeripheral blood leukocytesBreast cancer diagnosisGene expressionDisease recurrenceAerobic exerciseCancer deathClinical trialsTumor featuresBlood leukocytesGenetic 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 interactionTelomerase expression and telomere length in breast cancer and their associations with adjuvant treatment and disease outcome
Lu L, Zhang C, Zhu G, Irwin M, Risch H, Menato G, Mitidieri M, Katsaros D, Yu H. Telomerase expression and telomere length in breast cancer and their associations with adjuvant treatment and disease outcome. Breast Cancer Research 2011, 13: r56. PMID: 21645396, PMCID: PMC3218945, DOI: 10.1186/bcr2893.Peer-Reviewed Original ResearchConceptsEndocrine therapyDisease outcomeAdjuvant treatmentTelomerase expressionBetter survival outcomesDisease-free survivalHormone receptor statusBreast cancer patientsRisk of deathTelomere lengthHigh telomeraseCause-specific mortalityBreast cancer prognosisBreast cancer cellsCancer cell resistanceHigh telomerase expressionOverall survivalPatient ageDisease recurrenceReceptor statusHistological typeAggressive diseaseSurvival outcomesDisease stageCancer patients
2010
Let-7a regulation of insulin-like growth factors in breast cancer
Lu L, Katsaros D, Zhu Y, Hoffman A, Luca S, Marion CE, Mu L, Risch H, Yu H. Let-7a regulation of insulin-like growth factors in breast cancer. Breast Cancer Research And Treatment 2010, 126: 687-694. PMID: 20848182, DOI: 10.1007/s10549-010-1168-5.Peer-Reviewed Original ResearchConceptsIGF expressionBreast cancerOvarian cancerInsulin-like growth factorDisease-free survivalCancer cellsAction of IGFBreast cancer patientsExpression of IGFHigh-grade tumorsIGF-II expressionPR-negative cancerLet-7aQuantitative methylation-specific PCRBreast cancer samplesOverall survivalFavorable prognosisPatient survivalCancer patientsGrade tumorsIGF mRNAsMethylation-specific PCRDisease featuresCancerCancer samples
2005
Glutathione S-transferase polymorphisms and ovarian cancer treatment and survival
Beeghly A, Katsaros D, Chen H, Fracchioli S, Zhang Y, Massobrio M, Risch H, Jones B, Yu H. Glutathione S-transferase polymorphisms and ovarian cancer treatment and survival. Gynecologic Oncology 2005, 100: 330-337. PMID: 16199080, DOI: 10.1016/j.ygyno.2005.08.035.Peer-Reviewed Original ResearchConceptsOvarian cancer treatmentDisease progressionGSTP1 genotypesGST polymorphismsPrimary epithelial ovarian cancerCox proportional hazards regressionFunctional polymorphismsGSTP1 Ile/IleCancer treatmentGSTP1 Ile/ValGlutathione S-transferase polymorphismsGSTM1 null patientsPost-operative chemotherapySubgroup of patientsProportional hazards regressionEpithelial ovarian cancerOvarian cancer survivalEffect of chemotherapyOvarian cancer prognosisOvarian cancer progressionVal/ValIle/IleIle/ValOverall survivalTumor characteristics