2020
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks
Salvatore M, Beesley L, Fritsche L, Hanauer D, Shi X, Mondul A, Pearce C, Mukherjee B. Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks. Journal Of Biomedical Informatics 2020, 113: 103652. PMID: 33279681, PMCID: PMC7855433, DOI: 10.1016/j.jbi.2020.103652.Peer-Reviewed Original ResearchConceptsElectronic health recordsPolygenic risk scoresElectronic health record dataMichigan Genomics InitiativePhenotype risk scoreHigh-risk individualsPancreatic cancer diagnosisBody mass indexRisk scoreCancer diagnosisMedical phenomeUK Biobank (UKBHealth record dataSource of patient informationRisk predictionHypothesis-generating associationsDisease risk predictionHealth recordsUnadjusted associationsDrinking statusSmoking statusEpidemiological covariatesUKBPatient informationMultivariate associations
2015
Detectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis
Risch HA, Yu H, Lu L, Kidd MS. Detectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis. American Journal Of Epidemiology 2015, 182: 26-34. PMID: 26049860, PMCID: PMC4479115, DOI: 10.1093/aje/kwv026.Peer-Reviewed Original ResearchConceptsPancreatic cancer diagnosisAbsolute riskPancreatic cancerRecent diagnosisRisk factorsEnd Results (SEER) incidence dataUS Surveillance EpidemiologyCancer diagnosisCurrent cigarette smokingLow lifetime riskABO blood groupDiabetes mellitusSurveillance EpidemiologyCigarette smokingSurvival durationLifetime riskHigh riskPancreatic causesCancerBlood groupRisk estimatesDiagnosisIncidence dataSymptomatologyRisk
2014
Comprehensive Genomic Profiling of Pancreatic Acinar Cell Carcinomas Identifies Recurrent RAF Fusions and Frequent Inactivation of DNA Repair Genes
Chmielecki J, Hutchinson K, Frampton G, Chalmers Z, Johnson A, Shi C, Elvin J, Ali S, Ross J, Basturk O, Balasubramanian S, Lipson D, Yelensky R, Pao W, Miller V, Klimstra D, Stephens P. Comprehensive Genomic Profiling of Pancreatic Acinar Cell Carcinomas Identifies Recurrent RAF Fusions and Frequent Inactivation of DNA Repair Genes. Cancer Discovery 2014, 4: 1398-1405. PMID: 25266736, DOI: 10.1158/2159-8290.cd-14-0617.Peer-Reviewed Original ResearchConceptsPancreatic acinar cell carcinomaInactivation of DNA repair genesComprehensive genomic profilingDNA repair genesGenomic alterationsSensitive to platinum-based therapyRepair genesMEK inhibitor trametinibPlatinum-based therapyAcinar cell carcinomaPancreatic cancer diagnosisSensitive to treatmentInhibitor trametinibCell carcinomaMEK inhibitionPancreatic cancerPARP inhibitorsGenomic profilingApproximately 1%Personalized therapyRecurrent rearrangementsFrequent inactivationTumorTherapeutic targetRAF genes
2009
Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis
Chang ST, Zahn JM, Horecka J, Kunz PL, Ford JM, Fisher GA, Le QT, Chang DT, Ji H, Koong AC. Identification of a biomarker panel using a multiplex proximity ligation assay improves accuracy of pancreatic cancer diagnosis. Journal Of Translational Medicine 2009, 7: 105. PMID: 20003342, PMCID: PMC2796647, DOI: 10.1186/1479-5876-7-105.Peer-Reviewed Original ResearchConceptsPancreatic cancer diagnosisCA19-9Pancreatic cancerBiomarker panelProximity ligation assayOptimal biomarker panelCancer diagnosisPancreatic cancer patientsPancreatic ductal adenocarcinoma casesAge-matched controlsLogistic regression modelingCox survival modelsBackgroundPancreatic cancerClinical stagePrognostic significanceMultiplex proximity ligation assayCancer patientsPlasma biomarkersPlasma levelsAdenocarcinoma casesClinical cohortLigation assayDiagnosisCancerBiomarkers
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