2019
Current 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
2017
Quantifying the Genetic Correlation between Multiple Cancer Types
Lindström S, GECCO and the GAME-ON Network: CORECT D, Finucane H, Bulik-Sullivan B, Schumacher F, Amos C, Hung R, Rand K, Gruber S, Conti D, Permuth J, Lin H, Goode E, Sellers T, Amundadottir L, Stolzenberg-Solomon R, Klein A, Petersen G, Risch H, Wolpin B, Hsu L, Huyghe J, Chang-Claude J, Chan A, Berndt S, Eeles R, Easton D, Haiman C, Hunter D, Neale B, Price A, Kraft P. Quantifying the Genetic Correlation between Multiple Cancer Types. Cancer Epidemiology Biomarkers & Prevention 2017, 26: 1427-1435. PMID: 28637796, PMCID: PMC5582139, DOI: 10.1158/1055-9965.epi-17-0211.Peer-Reviewed Original ResearchConceptsColorectal cancerLung cancerRisk factorsBreast cancerRare high-penetrance mutationsCancer typesBody mass indexSpecific genetic risk factorsGenetic risk factorsHigh-penetrance mutationsMass indexControl subjectsOvarian cancerObservational studyProstate cancerNoncancer diseasesGenome-wide association studiesCancerDistinct cancersPrevious observational studiesAssociation studiesColorectalLungSummary statistics dataModest genetic correlation
2013
An Absolute Risk Model to Identify Individuals at Elevated Risk for Pancreatic Cancer in the General Population
Klein AP, Lindström S, Mendelsohn JB, Steplowski E, Arslan AA, Bueno-de-Mesquita HB, Fuchs CS, Gallinger S, Gross M, Helzlsouer K, Holly EA, Jacobs EJ, LaCroix A, Li D, Mandelson MT, Olson SH, Petersen GM, Risch HA, Stolzenberg-Solomon RZ, Zheng W, Amundadottir L, Albanes D, Allen NE, Bamlet WR, Boutron-Ruault MC, Buring JE, Bracci PM, Canzian F, Clipp S, Cotterchio M, Duell EJ, Elena J, Gaziano JM, Giovannucci EL, Goggins M, Hallmans G, Hassan M, Hutchinson A, Hunter DJ, Kooperberg C, Kurtz RC, Liu S, Overvad K, Palli D, Patel AV, Rabe KG, Shu XO, Slimani N, Tobias GS, Trichopoulos D, Van Den Eeden SK, Vineis P, Virtamo J, Wactawski-Wende J, Wolpin BM, Yu H, Yu K, Zeleniuch-Jacquotte A, Chanock SJ, Hoover RN, Hartge P, Kraft P. An Absolute Risk Model to Identify Individuals at Elevated Risk for Pancreatic Cancer in the General Population. PLOS ONE 2013, 8: e72311. PMID: 24058443, PMCID: PMC3772857, DOI: 10.1371/journal.pone.0072311.Peer-Reviewed Original ResearchConceptsPancreatic cancerRisk factorsAbsolute risk modelsAbsolute riskElevated riskGeneral populationLifetime absolute riskGenetic factorsPopulation incidence ratesGenetic risk factorsNon-Hispanic whitesHeavy alcohol useImmediate clinical utilityRisk modelCurrent smokingIncidence rateRelative riskFamily historyModifiable behaviorsClinical utilityU.S. non-Hispanic whitesCancerAverage riskAlcohol useNon-genetic factorsCombined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer
Pearce CL, Rossing MA, Lee AW, Ness RB, Webb PM, Study F, Group A, Chenevix-Trench G, Jordan SM, Stram DA, Chang-Claude J, Hein R, Nickels S, Lurie G, Thompson PJ, Carney ME, Goodman MT, Moysich K, Hogdall E, Jensen A, Goode EL, Fridley BL, Cunningham JM, Vierkant RA, Weber RP, Ziogas A, Anton-Culver H, Gayther SA, Gentry-Maharaj A, Menon U, Ramus SJ, Brinton L, Wentzensen N, Lissowska J, Garcia-Closas M, Massuger LF, Kiemeney LA, Van Altena AM, Aben KK, Berchuck A, Doherty JA, Iversen E, McGuire V, Moorman PG, Pharoah P, Pike MC, Risch H, Sieh W, Stram DO, Terry KL, Whittemore A, Wu AH, Schildkraut JM, Kjaer SK, Consortium F. Combined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer. Cancer Epidemiology Biomarkers & Prevention 2013, 22: 880-890. PMID: 23462924, PMCID: PMC3963289, DOI: 10.1158/1055-9965.epi-12-1030-t.Peer-Reviewed Original ResearchConceptsEnvironmental risk factorsGenetic risk scoreOvarian cancer riskRisk factorsHistologic subtypeRisk scoreOvarian cancerCancer riskHigh genetic risk scoreOvarian cancer case-control studiesCancer case-control studyCase-control studySuch risk factorsGenetic risk factorsRecent genome-wide association studiesTubal ligationRisk differenceDisease riskSubtypesMultivariate modelCancerRisk prediction modelingRiskScoresEffects model