2024
Understanding risk factors for endometrial cancer in young women
Peeri N, Bertrand K, Na R, De Vivo I, Setiawan V, Seshan V, Alemany L, Chen Y, Clarke M, Clendenen T, Cook L, Costas L, Dal Maso L, Freudenheim J, Friedenreich C, Gierach G, Goodman M, La Vecchia C, Levi F, Lopez-Querol M, Lu L, Moysich K, Mutter G, Naduparambil J, Negri E, O’Connell K, O’Mara T, Palmer J, Parazzini F, Penney K, Petruzella S, Reynolds P, Ricceri F, Risch H, Rohan T, Sacerdote C, Sandin S, Shu X, Stolzenberg-Solomon R, Webb P, Wentzensen N, Wilkens L, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Guo X, Lipworth L, Du M. Understanding risk factors for endometrial cancer in young women. Journal Of The National Cancer Institute 2024, 117: 76-88. PMID: 39235934, PMCID: PMC11717423, DOI: 10.1093/jnci/djae210.Peer-Reviewed Original ResearchRisk factorsEpidemiology of Endometrial Cancer ConsortiumEC riskOdds ratioOlder womenAverage risk womenKnowledge of risk factorsConfidence intervalsPopulation attributable fractionEstimate odds ratiosInverse association with ageYoung womenAmerican Cancer SocietyAssociated with reduced riskIncreased riskEndometrial cancerUnderstanding risk factorsEC risk factorsOral contraceptive useAttributable fractionRisk womenCurrent smokingCancer ConsortiumCancer SocietyAssociated with ageHypertension 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 modelsDetection of hepatocellular carcinoma methylation markers in salivary DNA
Mezzacappa C, Wang Z, Lu L, Risch H, Taddei T, Yu H. Detection of hepatocellular carcinoma methylation markers in salivary DNA. Bioscience Reports 2024, 44: bsr20232063. PMID: 38457142, PMCID: PMC10958141, DOI: 10.1042/bsr20232063.Peer-Reviewed Original ResearchHepatocellular carcinoma screeningCase patientsHepatocellular carcinomaControl subjectsDiagnosis of hepatocellular carcinomaAssociated with hepatocellular carcinomaScreening testSalivary DNASaliva-based testCpG sitesStudy of risk factorsSalivary DNA methylationDNA methylationViral hepatitisCirculating DNAAlterations to DNA methylationRisk factorsMethylation markersPatientsRegulation of cell cycle progressionBlood samplesCell cycle progressionAffected individualsAlternative to blood samplingMultiple comparisons
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 survivalRandomized trial of exercise on cancer‐related blood biomarkers and survival in women with ovarian cancer
Cartmel B, Li F, Zhou Y, Gottlieb L, Lu L, Mszar R, Harrigan M, Ligibel J, Gogoi R, Schwartz P, Risch H, Irwin M. Randomized trial of exercise on cancer‐related blood biomarkers and survival in women with ovarian cancer. Cancer Medicine 2023, 12: 15492-15503. PMID: 37269192, PMCID: PMC10417064, DOI: 10.1002/cam4.6187.Peer-Reviewed Original ResearchConceptsExercise interventionOvarian cancerTrial of exerciseExercise-induced changesMin/weekGroup differencesSubset of participantsCause mortalityExercise groupOverall survivalStudy armsCA 125Randomized trialsBlood biomarkersBlood drawBreast cancerClinical significanceIGF-1Effect model analysisSecondary analysisBeneficial effectsCancerBiomarkersTrialsWomenDynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma
Lu L, Risch E, Halaban R, Zhen P, Bacchiocchi A, Risch H. Dynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma. International Immunopharmacology 2023, 118: 110092. PMID: 37004344, DOI: 10.1016/j.intimp.2023.110092.Peer-Reviewed Original ResearchConceptsImmune checkpoint blockadeSoluble PD-L1 (sPD-L1) levelsPD-L1 ratioPD-L1 levelsSoluble PD-1Soluble PD-L1PD-L1PD-1Patient survivalSurvival statusPD-1/PD-L1Immune checkpoints PD-1T cell exhaustionPatients' survival statusSolid tumor typesInitial immunotherapyCheckpoint blockadeMelanoma patientsPoor prognosisRetrospective studyPatient responseCell exhaustionTumor typesMelanomaSurvivalRisk prediction models for endometrial cancer: development and validation in an international consortium
Shi J, Kraft P, Rosner B, Benavente Y, Black A, Brinton L, Chen C, Clarke M, Cook L, Costas L, Dal Maso L, Freudenheim J, Frias-Gomez J, Friedenreich C, Garcia-Closas M, Goodman M, Johnson L, La Vecchia C, Levi F, Lissowska J, Lu L, McCann S, Moysich K, Negri E, O'Connell K, Parazzini F, Petruzella S, Polesel J, Ponte J, Rebbeck T, Reynolds P, Ricceri F, Risch H, Sacerdote C, Setiawan V, Shu X, Spurdle A, Trabert B, Webb P, Wentzensen N, Wilkens L, Xu W, Yang H, Yu H, Du M, De Vivo I. Risk prediction models for endometrial cancer: development and validation in an international consortium. Journal Of The National Cancer Institute 2023, 115: 552-559. PMID: 36688725, PMCID: PMC10165481, DOI: 10.1093/jnci/djad014.Peer-Reviewed Original ResearchConceptsNurses' Health StudyRisk prediction modelNHS IIEndometrial cancerHealth StudyGenetic factorsEndometrial cancer incidence ratesOvarian Cancer Screening TrialCancer risk prediction modelsEndometrial Cancer ConsortiumPostmenopausal white womenCancer Screening TrialCancer risk stratificationCase-control studyRisk factor distributionCancer incidence ratesRelative risk estimatesEpidemiologic modelHeterogeneous study populationsPublic health practiceProphylactic hysterectomyRisk stratificationEpidemiologic factorsIncidence rateSelect cohort
2020
Risk 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
Use of aspirin, other nonsteroidal anti-inflammatory drugs and acetaminophen and risk of endometrial cancer: the Epidemiology of Endometrial Cancer Consortium
Webb PM, Na R, Weiderpass E, Adami HO, Anderson KE, Bertrand KA, Botteri E, Brasky TM, Brinton LA, Chen C, Doherty JA, Lu L, McCann SE, Moysich KB, Olson S, Petruzella S, Palmer JR, Prizment AE, Schairer C, Setiawan VW, Spurdle AB, Trabert B, Wentzensen N, Wilkens L, Yang HP, Yu H, Risch HA, Jordan SJ. Use of aspirin, other nonsteroidal anti-inflammatory drugs and acetaminophen and risk of endometrial cancer: the Epidemiology of Endometrial Cancer Consortium. Annals Of Oncology 2019, 30: 310-316. PMID: 30566587, PMCID: PMC6386026, DOI: 10.1093/annonc/mdy541.Peer-Reviewed Original ResearchConceptsNon-aspirin nonsteroidal anti-inflammatory drugsNonsteroidal anti-inflammatory drugsEndometrial Cancer ConsortiumEndometrial cancerAnti-inflammatory drugsObese womenOdds ratioCancer ConsortiumStudy-specific odds ratiosLogistic regressionStandard-dose aspirinUse of aspirinUse of acetaminophenConfidence intervalsTimes/weekCase-control studyRisk of cancerMixed-effects logistic regressionLow-dose formulationsLeast weekly useNormal weightPooled analysisInverse associationStratified analysisReduced riskCurrent Approaches to Pancreatic Cancer Screening
Chhoda A, Lu L, Clerkin BM, Risch H, Farrell JJ. Current Approaches to Pancreatic Cancer Screening. American Journal Of Pathology 2019, 189: 22-35. PMID: 30558719, DOI: 10.1016/j.ajpath.2018.09.013.BooksConceptsPancreatic ductal adenocarcinomaHigh-risk individualsRisk factorsCancer syndromesHereditary breast-ovarian cancer syndromeBreast-ovarian cancer syndromeEarly resectable stagePancreatic cancer screeningScreening strategyFamilial atypical multipleCancer-related deathOvarian cancer syndromeCurrent screening strategiesLi-Fraumeni syndromePeutz-Jeghers syndromeGenetic risk factorsResectable stageCancer screeningPancreatic cancerChronic diseasesDuctal adenocarcinomaLynch syndromePrecursor lesionsLower incidenceFamilial history
2018
Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer
Walsh N, Zhang H, Hyland PL, Yang Q, Mocci E, Zhang M, Childs EJ, Collins I, Wang Z, Arslan AA, Beane-Freeman L, Bracci PM, Brennan P, Canzian F, Duell EJ, Gallinger S, Giles GG, Goggins M, Goodman GE, Goodman PJ, Hung RJ, Kooperberg C, Kurtz RC, Malats N, LeMarchand L, Neale RE, Olson SH, Scelo G, Shu XO, Van Den Eeden SK, Visvanathan K, White E, Zheng W, consortia P, Albanes D, Andreotti G, Babic A, Bamlet W, Berndt S, Borgida A, Boutron-Ruault M, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Chaffee K, Chanock S, Cleary S, Cotterchio M, Foretova L, Fuchs C, Gaziano J, Giovannucci E, Goggins M, Hackert T, Haiman C, Hartge P, Hasan M, Helzlsouer K, Herman J, Holcatova I, Holly E, Hoover R, Hung R, Janout V, Klein E, Kurtz R, Laheru D, Lee I, Lu L, Malats N, Mannisto S, Milne R, Oberg A, Orlow I, Patel A, Peters U, Porta M, Real F, Rothman N, Sesso H, Severi G, Silverman D, Strobel O, Sund M, Thornquist M, Tobias G, Wactawski-Wende J, Wareham N, Weiderpass E, Wentzensen N, Wheeler W, Yu H, Zeleniuch-Jacquotte A, Kraft P, Li D, Jacobs E, Petersen G, Wolpin B, Risch H, Amundadottir L, Yu K, Klein A, Stolzenberg-Solomon R. Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer. Journal Of The National Cancer Institute 2018, 111: 557-567. PMID: 30541042, PMCID: PMC6579744, DOI: 10.1093/jnci/djy155.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGene setsSingle nucleotide polymorphismsFunctional annotationEpidermal growth factor receptor transactivationExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisGrowth factor receptor transactivationTop single nucleotide polymorphismsG protein-coupled receptorsGene-set analysisProtein-coupled receptorsIndividual single nucleotide polymorphismsBeta-cell developmentEQTL analysisGWAS dataPCC genesPancreatic ductal adenocarcinomaReceptor transactivationLocus analysisPathway analysisAssociation studiesGenesSusceptibility genesIdentifies associationsIdentification of nine new susceptibility loci for endometrial cancer
O’Mara T, Glubb DM, Amant F, Annibali D, Ashton K, Attia J, Auer PL, Beckmann MW, Black A, Bolla MK, Brauch H, Brenner H, Brinton L, Buchanan DD, Burwinkel B, Chang-Claude J, Chanock SJ, Chen C, Chen MM, Cheng THT, Clarke CL, Clendenning M, Cook LS, Couch FJ, Cox A, Crous-Bous M, Czene K, Day F, Dennis J, Depreeuw J, Doherty JA, Dörk T, Dowdy SC, Dürst M, Ekici AB, Fasching PA, Fridley BL, Friedenreich CM, Fritschi L, Fung J, García-Closas M, Gaudet MM, Giles GG, Goode EL, Gorman M, Haiman CA, Hall P, Hankison SE, Healey CS, Hein A, Hillemanns P, Hodgson S, Hoivik EA, Holliday EG, Hopper JL, Hunter DJ, Jones A, Krakstad C, Kristensen VN, Lambrechts D, Marchand LL, Liang X, Lindblom A, Lissowska J, Long J, Lu L, Magliocco AM, Martin L, McEvoy M, Meindl A, Michailidou K, Milne RL, Mints M, Montgomery GW, Nassir R, Olsson H, Orlow I, Otton G, Palles C, Perry JRB, Peto J, Pooler L, Prescott J, Proietto T, Rebbeck TR, Risch HA, Rogers PAW, Rübner M, Runnebaum I, Sacerdote C, Sarto GE, Schumacher F, Scott RJ, Setiawan VW, Shah M, Sheng X, Shu XO, Southey MC, Swerdlow AJ, Tham E, Trovik J, Turman C, Tyrer JP, Vachon C, VanDen Berg D, Vanderstichele A, Wang Z, Webb PM, Wentzensen N, Werner HMJ, Winham SJ, Wolk A, Xia L, Xiang YB, Yang HP, Yu H, Zheng W, Pharoah PDP, Dunning AM, Kraft P, De Vivo I, Tomlinson I, Easton DF, Spurdle AB, Thompson DJ. Identification of nine new susceptibility loci for endometrial cancer. Nature Communications 2018, 9: 3166. PMID: 30093612, PMCID: PMC6085317, DOI: 10.1038/s41467-018-05427-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesCandidate causal genesCausal genesNovel genome-wide significant lociRisk lociEndometrial cancer risk lociGenome-wide significant lociExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisSignal transduction proteinsCancer risk lociNew susceptibility lociTransduction proteinsSignificant lociLocus analysisNegative regulatorAssociation studiesFemale reproductive tractSusceptibility lociLoci associateLociGenesDecreased expressionReproductive tractRisk allelesGenome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer
Klein AP, Wolpin BM, Risch HA, Stolzenberg-Solomon RZ, Mocci E, Zhang M, Canzian F, Childs EJ, Hoskins JW, Jermusyk A, Zhong J, Chen F, Albanes D, Andreotti G, Arslan AA, Babic A, Bamlet WR, Beane-Freeman L, Berndt SI, Blackford A, Borges M, Borgida A, Bracci PM, Brais L, Brennan P, Brenner H, Bueno-de-Mesquita B, Buring J, Campa D, Capurso G, Cavestro GM, Chaffee KG, Chung CC, Cleary S, Cotterchio M, Dijk F, Duell EJ, Foretova L, Fuchs C, Funel N, Gallinger S, M. Gaziano JM, Gazouli M, Giles GG, Giovannucci E, Goggins M, Goodman GE, Goodman PJ, Hackert T, Haiman C, Hartge P, Hasan M, Hegyi P, Helzlsouer KJ, Herman J, Holcatova I, Holly EA, Hoover R, Hung RJ, Jacobs EJ, Jamroziak K, Janout V, Kaaks R, Khaw KT, Klein EA, Kogevinas M, Kooperberg C, Kulke MH, Kupcinskas J, Kurtz RJ, Laheru D, Landi S, Lawlor RT, Lee I, LeMarchand L, Lu L, Malats N, Mambrini A, Mannisto S, Milne RL, Mohelníková-Duchoňová B, Neale RE, Neoptolemos JP, Oberg AL, Olson SH, Orlow I, Pasquali C, Patel AV, Peters U, Pezzilli R, Porta M, Real FX, Rothman N, Scelo G, Sesso HD, Severi G, Shu XO, Silverman D, Smith JP, Soucek P, Sund M, Talar-Wojnarowska R, Tavano F, Thornquist MD, Tobias GS, Van Den Eeden SK, Vashist Y, Visvanathan K, Vodicka P, Wactawski-Wende J, Wang Z, Wentzensen N, White E, Yu H, Yu K, Zeleniuch-Jacquotte A, Zheng W, Kraft P, Li D, Chanock S, Obazee O, Petersen GM, Amundadottir LT. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer. Nature Communications 2018, 9: 556. PMID: 29422604, PMCID: PMC5805680, DOI: 10.1038/s41467-018-02942-5.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Pancreatic DuctalDatabases, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyHepatocyte Nuclear Factor 1-betaHepatocyte Nuclear Factor 4HumansIntercellular Signaling Peptides and ProteinsIntracellular Signaling Peptides and ProteinsPancreatic NeoplasmsPolymorphism, Single NucleotideProteinsRepressor ProteinsTensinsConceptsNew genome-wide significant lociGenome-wide significant lociExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisPANcreatic Disease ReseArch (PANDoRA) consortiumNew susceptibility lociPancreatic cancer susceptibility genesCommon susceptibility allelesCancer susceptibility genesSignificant lociPancreatic Cancer Case-Control ConsortiumMolecular supportPancreatic Cancer Cohort ConsortiumLocus analysisSusceptibility lociSusceptibility genesSusceptibility allelesEuropean ancestryNovel associationsLociPancreatic cancerConsortiumGWASGenesAlleles
2017
Breastfeeding and Endometrial Cancer Risk
Jordan SJ, Na R, Johnatty SE, Wise LA, Adami HO, Brinton LA, Chen C, Cook LS, Dal Maso L, De Vivo I, Freudenheim JL, Friedenreich CM, La Vecchia C, McCann SE, Moysich KB, Lu L, Olson SH, Palmer JR, Petruzella S, Pike MC, Rebbeck TR, Ricceri F, Risch HA, Sacerdote C, Setiawan VW, Sponholtz TR, Shu XO, Spurdle AB, Weiderpass E, Wentzensen N, Yang HP, Yu H, Webb PM. Breastfeeding and Endometrial Cancer Risk. Obstetrics And Gynecology 2017, 129: 1059-1067. PMID: 28486362, PMCID: PMC5473170, DOI: 10.1097/aog.0000000000002057.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskEndometrial cancerCancer riskOdds ratioStudy-specific odds ratiosEndometrial Cancer ConsortiumBody mass indexMultivariable logistic regressionConfidence intervalsCase-control studyMaternal benefitsNulliparous womenHistologic subtypeMass indexCommon cancerLower riskStudy heterogeneityCancer ConsortiumControl groupCancerLogistic regressionAverage durationLonger average durationWomenBreastfeedingAspirin Use and Reduced Risk of Pancreatic Cancer
Risch HA, Lu L, Streicher SA, Wang J, Zhang W, Ni Q, Kidd MS, Yu H, Gao YT. Aspirin Use and Reduced Risk of Pancreatic Cancer. Cancer Epidemiology Biomarkers & Prevention 2017, 26: 68-74. PMID: 27999143, PMCID: PMC5225096, DOI: 10.1158/1055-9965.epi-16-0508.Peer-Reviewed Original ResearchConceptsPancreatic cancerAspirin useRegular useConfidence intervalsLong-term aspirin useControl subjects frequencyLow-dose aspirinAvoidance of smokingBody mass indexPopulation-based studyUnconditional logistic regressionABO blood groupRisk-benefit analysisAspirin typeCagA seropositivityDiabetes mellitusMass indexCigarette smokingCardiovascular diseaseAspirinCancerCertain cancersLogistic regressionBlood groupSubjects frequency
2016
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 prognosisFemale chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome
Machiela MJ, Zhou W, Karlins E, Sampson JN, Freedman ND, Yang Q, Hicks B, Dagnall C, Hautman C, Jacobs KB, Abnet CC, Aldrich MC, Amos C, Amundadottir LT, Arslan AA, Beane-Freeman LE, Berndt SI, Black A, Blot WJ, Bock CH, Bracci PM, Brinton LA, Bueno-de-Mesquita HB, Burdett L, Buring JE, Butler MA, Canzian F, Carreón T, Chaffee KG, Chang IS, Chatterjee N, Chen C, Chen C, Chen K, Chung CC, Cook LS, Crous Bou M, Cullen M, Davis FG, De Vivo I, Ding T, Doherty J, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Friedenreich CM, Fuchs CS, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, Gaudet MM, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Haiman CA, Hallmans G, Hankinson SE, Harris CC, Henriksson R, Holly EA, Hong YC, Hoover RN, Hsiung CA, Hu N, Hu W, Hunter DJ, Hutchinson A, Jenab M, Johansen C, Khaw KT, Kim HN, Kim YH, Kim YT, Klein AP, Klein R, Koh WP, Kolonel LN, Kooperberg C, Kraft P, Krogh V, Kurtz RC, LaCroix A, Lan Q, Landi MT, Marchand LL, Li D, Liang X, Liao LM, Lin D, Liu J, Lissowska J, Lu L, Magliocco AM, Malats N, Matsuo K, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Moore L, Olson SH, Orlow I, Park JY, Patiño-Garcia A, Peplonska B, Peters U, Petersen GM, Pooler L, Prescott J, Prokunina-Olsson L, Purdue MP, Qiao YL, Rajaraman P, Real FX, Riboli E, Risch HA, Rodriguez-Santiago B, Ruder AM, Savage SA, Schumacher F, Schwartz AG, Schwartz KL, Seow A, Wendy Setiawan V, Severi G, Shen H, Sheng X, Shin MH, Shu XO, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Van Den Berg D, Visvanathan K, Wacholder S, Wang JC, Wang Z, Wentzensen N, Wheeler W, White E, Wiencke JK, Wolpin BM, Wong MP, Wu C, Wu T, Wu X, Wu YL, Wunder JS, Xia L, Yang HP, Yang PC, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Zheng W, Zhou B, Ziegler RG, Perez-Jurado LA, Caporaso NE, Rothman N, Tucker M, Dean MC, Yeager M, Chanock SJ. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome. Nature Communications 2016, 7: 11843. PMID: 27291797, PMCID: PMC4909985, DOI: 10.1038/ncomms11843.Peer-Reviewed Original ResearchGWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer
Chen MM, O'Mara TA, Thompson DJ, Painter JN, Group T, Attia J, Black A, Brinton L, Chanock S, Chen C, Cheng T, Cook L, Crous-Bou M, Doherty J, Friedenreich C, Garcia-Closas M, Gaudet M, Gorman M, Haiman C, Hankinson S, Hartge P, Henderson B, Hodgson S, Holliday E, Horn-Ross P, Hunter D, Le Marchand L, Liang X, Lissowska J, Long J, Lu L, Magliocco A, Martin L, McEvoy M, Group S, Olson S, Orlow I, Pooler L, Prescott J, Rastogi R, Rebbeck T, Risch H, Sacerdote C, Schumacher F, Setiawan V, Scott R, Sheng X, Shu X, Turman C, Van Den Berg D, Wang Z, Weiss N, Wentzensen N, Xia L, Xiang Y, Yang H, Yu H, Zheng W, Pharoah P, Dunning A, Tomlinson I, Easton D, Kraft P, Spurdle A, De Vivo I. GWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer. Human Molecular Genetics 2016, 25: 2612-2620. PMID: 27008869, PMCID: PMC5868213, DOI: 10.1093/hmg/ddw092.Peer-Reviewed Original ResearchConceptsEndometrial cancerCommon gynecological malignancyMeta-analysis resultsGynecological malignanciesGenome-wide significanceGenetic predispositionWide association studyNew susceptibility lociGenetic susceptibilityGenetic riskCancerNew lociAssociation studiesEuropean ancestrySusceptibility lociWomenExosomes: potential for early detection in pancreatic cancer
Lu L, Risch HA. Exosomes: potential for early detection in pancreatic cancer. Future Oncology 2016, 12: 1081-1090. PMID: 26860951, DOI: 10.2217/fon-2015-0005.Peer-Reviewed Original ResearchLIN-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
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