Rachel Stolzenberg-Solomon, PhD, MPH
Associate Professor Adjunct, Chronic Disease EpidemiologyAbout
Titles
Biography
Dr. Stolzenberg-Solomon is a Senior Investigator in the Metabolic Epidemiology Branch in the Division of Cancer Epidemiology and Genetics at the National Cancer Institute, National Institutes of Health. Dr. Stolzenberg-Solomon received a B.S. in nutrition and dietetics at the University of California, Davis in 1984, followed by a dietetic internship and M.Ed. in health science (nutrition) education at Vanderbilt University Medical Center and George Peabody School of Education, respectively. After this training, she worked as a registered dietitian for several years. In 1994, she completed a M.P.H. with concentrations in epidemiology and nutrition at the Johns Hopkins Bloomberg School of Public Health. Dr. Stolzenberg-Solomon joined the National Cancer Institute in 1996 as a predoctoral fellow in the Cancer Prevention Studies Branch in the in the former Division of Cancer Prevention and Control and later the Center for Cancer Research, and subsequently earned a Ph.D. in epidemiology from the Johns Hopkins Bloomberg School of Public Health in 1999. As a Cancer Prevention Fellow, she continued postdoctoral research in the Division of Cancer Prevention and Division of Cancer Epidemiology and Genetics. She became an investigator in the Nutritional Epidemiology Branch in December 2002, and was awarded NIH scientific tenure and promoted to Senior Investigator in 2011.
Dr. Stolzenberg-Solomon has won several awards in recognition of her contributions to cancer research, including the 2008 NIH Merit Award for sustained and innovative work in elucidating nutritional, genetic, infectious, and other determinants of pancreatic cancer. She is an active mentor, working with graduate students, as well as postdoctoral fellows. She serves on the editorial board of the American Journal of Epidemiology and Cancer Epidemiology, Biomarkers, and Prevention. Dr. Stolzenberg-Solomon also holds a position as an adjunct Associate Professor at the Yale University School of Public Health, is a fellow of the American College of Epidemiology, and a member of the American Society of Epidemiology.
Appointments
Chronic Disease Epidemiology
Associate Professor AdjunctPrimary
Other Departments & Organizations
Education & Training
- PhD
- Johns Hopkins School of Hygiene and Public Health (1999)
- MPH
- Johns Hopkins School of Hygiene and Public Health (1994)
Research
Research at a Glance
Yale Co-Authors
Publications Timeline
Harvey Risch, MD, PhD
Elisabete Weiderpass
Lingeng Lu, MD, PhD
Publications
2023
Measuring diet by metabolomics: a 14-d controlled feeding study of weighed food intake
Playdon M, Tinker L, Prentice R, Loftfield E, Hayden K, Van Horn L, Sampson J, Stolzenberg-Solomon R, Lampe J, Neuhouser M, Moore S. Measuring diet by metabolomics: a 14-d controlled feeding study of weighed food intake. American Journal Of Clinical Nutrition 2023, 119: 511-526. PMID: 38212160, PMCID: PMC10884612, DOI: 10.1016/j.ajcnut.2023.10.016.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsWomen's Health InitiativeControlled feeding studyFood intakeAssociated with dietary intakeHabitually consumed foodsPotential of metabolomicsFasting serum samplesHealthy postmenopausal femalesHuman food intakeTandem mass spectrometryWeighed intakesEnd-of-studyLiquid chromatography tandem mass spectrometryHealth initiativesBeverage intakePostmenopausal femalesMetabolomics studiesDietary assessmentPartial Pearson correlationsHabitual dietMetabolite correlationsWeighing foodDietary intakeFood groupsMetabolomicsAssociation of hormonal and reproductive factors with differentiated thyroid cancer risk in women: a pooled prospective cohort analysis
O’Grady T, Rinaldi S, Michels K, Adami H, Buring J, Chen Y, Clendenen T, D’Aloisio A, DeHart J, Franceschi S, Freedman N, Gierach G, Giles G, Lacey J, Lee I, Liao L, Linet M, McCullough M, Patel A, Prizment A, Robien K, Sandler D, Stolzenberg-Solomon R, Weiderpass E, White E, Wolk A, Zheng W, de Gonzalez A, Kitahara C. Association of hormonal and reproductive factors with differentiated thyroid cancer risk in women: a pooled prospective cohort analysis. International Journal Of Epidemiology 2023, 53: dyad172. PMID: 38110618, PMCID: PMC10859160, DOI: 10.1093/ije/dyad172.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsThyroid cancer riskRisk of DTCDTC riskCancer riskMultivariable-adjusted Cox proportional hazards modelsMenopausal hormone therapy useHazard ratioFactors associated with higher riskEstimate hazard ratiosHormonal factorsOral contraceptivesHormone therapy useFactor associated with lower riskCox proportional hazards modelsProspective cohort analysisIncidence of differentiated thyroid cancerPost-menopausal statusMenopausal hormone therapyProportional hazards modelExposure misclassificationReproductive factorsPre-diagnosticTherapy useEvaluate associationsSex steroid hormones
2018
Genome-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 ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH 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
Pancreatic cancer incidence trends: evidence from the Surveillance, Epidemiology and End Results (SEER) population-based data
Gordon-Dseagu VL, Devesa SS, Goggins M, Stolzenberg-Solomon R. Pancreatic cancer incidence trends: evidence from the Surveillance, Epidemiology and End Results (SEER) population-based data. International Journal Of Epidemiology 2017, 47: 427-439. PMID: 29149259, PMCID: PMC5913617, DOI: 10.1093/ije/dyx232.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPancreatic cancer incidence ratesCancer incidence ratesHistologic typeAnnual percent changeIncidence ratePancreatic cancerEnd Results (SEER) population-based dataLifestyle risk factorsEnd Results registryPopulation-based dataPancreatic cancer ratesCancer incidence trendsMucinous adenocarcinomaHistologic subgroupsPancreatic adenocarcinomaRisk factorsDuctal adenocarcinomaIncidence trendsCancer ratesEndocrine cancersCystic carcinomaAdenocarcinomaPercent changeYounger ageHispanic malesChildhood Body Mass Index and Risk of Adult Pancreatic Cancer
Nogueira L, Stolzenberg-Solomon R, Gamborg M, Sørensen T, Baker JL. Childhood Body Mass Index and Risk of Adult Pancreatic Cancer. Current Developments In Nutrition 2017, 1: e001362. PMID: 29388617, PMCID: PMC5788457, DOI: 10.3945/cdn.117.001362.Peer-Reviewed Original ResearchCitationsAltmetricConceptsBMI z-scoreChildhood body mass indexBody mass indexPancreatic cancerPancreatic cancer casesHazard ratioZ-scoreMass indexCancer casesAge 7Copenhagen School Health Records RegisterIncident pancreatic cancer casesCox proportional hazards regressionChildhood BMI z-scoreModifiable risk factorsDanish Cancer RegistryAge 70 yearsProportional hazards regressionConfidence intervalsChildhood BMICancer RegistryHazards regressionChildhood adiposityExcess weightRisk factorsEffects of dietary sodium on metabolites: the Dietary Approaches to Stop Hypertension (DASH)–Sodium Feeding Study
Derkach A, Sampson J, Joseph J, Playdon MC, Stolzenberg-Solomon RZ. Effects of dietary sodium on metabolites: the Dietary Approaches to Stop Hypertension (DASH)–Sodium Feeding Study. American Journal Of Clinical Nutrition 2017, 106: 1131-1141. PMID: 28855223, PMCID: PMC5611778, DOI: 10.3945/ajcn.116.150136.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH KeywordsAdolescentAdultAgedAmino AcidsBlood PressureCross-Over StudiesDietDiet, Carbohydrate-RestrictedDiet, Fat-RestrictedDiet, Sodium-RestrictedFeeding BehaviorFemaleFruitGastrointestinal MicrobiomeHumansHypertensionMaleMetabolic Networks and PathwaysMetabolomeMiddle AgedPlant ExtractsSodium Chloride, DietarySodium, DietaryVegetablesYoung AdultConceptsSodium intakeBlood pressureDietary ApproachesDASH-Sodium trialHigh sodium intakeLow-sodium interventionAmino acid-related metabolitesDASH dietDiet armSodium trialLinear mixed-effects regressionDietary sodiumMixed-effects regressionEpidemiologic studiesSodium interventionBlood samplesGut microbialPlasma metabolitesControl dietIntakeRandom orderTrialsFeeding studyHypertensionIntervention
2016
Identifying biomarkers of dietary patterns by using metabolomics 1–3
Playdon MC, Moore SC, Derkach A, Reedy J, Subar AF, Sampson JN, Albanes D, Gu F, Kontto J, Lassale C, Liao LM, Männistö S, Mondul AM, Weinstein SJ, Irwin ML, Mayne ST, Stolzenberg-Solomon R. Identifying biomarkers of dietary patterns by using metabolomics 1–3. American Journal Of Clinical Nutrition 2016, 105: 450-465. PMID: 28031192, PMCID: PMC5267308, DOI: 10.3945/ajcn.116.144501.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH KeywordsAgedAlpha-TocopherolAnimalsBeta CaroteneBiomarkersCase-Control StudiesCross-Sectional StudiesDietDiet, MediterraneanDietary FiberEdible GrainEnergy IntakeExerciseFastingFatty Acids, UnsaturatedFinlandFishesFruitHumansMetabolomicsMicronutrientsMiddle AgedRandomized Controlled Trials as TopicSeafoodSurveys and QuestionnairesVegetablesConceptsDiet Quality IndexDietary patternsDiet indexDiet qualitySerum metabolitesBeta-Carotene Cancer Prevention Study cohortHealthy Diet IndexMale Finnish smokersPrevention Study cohortChronic disease incidenceFood frequency questionnaireHealthy dietary patternBody mass indexCase-control studyNational dietary guidelinesDiet quality measurementsMass indexStudy cohortStudy randomizationFinnish smokersSpecific metabolite profilesDietary guidelinesPhysical activityEnergy intakeAlpha-tocopherolHigher Glucose and Insulin Levels Are Associated with Risk of Liver Cancer and Chronic Liver Disease Mortality among Men without a History of Diabetes.
Loftfield E, Freedman ND, Lai GY, Weinstein SJ, McGlynn KA, Taylor PR, Mannisto S, Albanes D, Stolzenberg-Solomon RZ. Higher Glucose and Insulin Levels Are Associated with Risk of Liver Cancer and Chronic Liver Disease Mortality among Men without a History of Diabetes. Cancer Prevention Research (Philadelphia, Pa.) 2016, 9: 866-874. PMID: 27574287, PMCID: PMC5093066, DOI: 10.1158/1940-6207.CAPR-16-0141.Peer-Reviewed Original Research
2015
Vitamin D-binding protein and pancreatic cancer: a nested case-control study.
Piper MR, Freedman DM, Robien K, Kopp W, Rager H, Horst RL, Stolzenberg-Solomon RZ. Vitamin D-binding protein and pancreatic cancer: a nested case-control study. The American Journal Of Clinical Nutrition 2015, 101: 1206-15. PMID: 25904602, PMCID: PMC4441803, DOI: 10.3945/ajcn.114.096016.Peer-Reviewed Original Research
2013
Lifetime adiposity and risk of pancreatic cancer in the NIH-AARP Diet and Health Study cohort.
Stolzenberg-Solomon RZ, Schairer C, Moore S, Hollenbeck A, Silverman DT. Lifetime adiposity and risk of pancreatic cancer in the NIH-AARP Diet and Health Study cohort. The American Journal Of Clinical Nutrition 2013, 98: 1057-65. PMID: 23985810, PMCID: PMC3778860, DOI: 10.3945/ajcn.113.058123.Peer-Reviewed Original Research