2024
Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer
Moore N, Laird J, Verma N, Hager T, Sritharan D, Lee V, Maresca R, Chadha S, Park H, Aneja S. Applying Language Models to Radiology Text for Identifying Oligometastatic Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e644. DOI: 10.1016/j.ijrobp.2024.07.1417.Peer-Reviewed Original ResearchNon-small cell lung cancerOligometastatic diseaseCell lung cancerRadiologic impressionTumor RegistryTest cohortOligometastatic non-small cell lung cancerIV non-small cell lung cancerStage IV non-small cell lung cancerLung cancerConvolutional neural networkMetastasis-directed therapyOligometastatic NSCLC patientsMonths of diagnosisLanguage modelClinician reviewNSCLC patientsPatient cohortClinical dataScreening patientsSubgroup analysisBrain MRIClinical textBurden of diseaseClinical relevanceComparison of incident breast cancer cases in the largest national US tumor registries
Plichta J, Thomas S, Chanenchuk T, Chan K, Hyslop T, Hwang E, Greenup R. Comparison of incident breast cancer cases in the largest national US tumor registries. Cancer 2024, 131: e35525. PMID: 39154223, PMCID: PMC11695170, DOI: 10.1002/cncr.35525.Peer-Reviewed Original ResearchIncident breast cancer casesUS Cancer StatisticsBreast cancer casesNational Cancer DatabaseNon-HispanicNon-Hispanic American Indian/Alaska NativesCancer casesTumor RegistryIn situ breast cancerPopulation cancer registryNon-Hispanic blacksSamples of breast cancer patientsNon-Hispanic whitesAmerican Indian/Alaska NativeEnd Results ProgramBreast cancerPacific IslandersCancer RegistryCancer statisticsIndian/Alaska NativeCase ascertainmentInterpretation of findingsResults ProgramBreast cancer patientsRegistry
2023
Post-diagnosis weight trajectories and mortality among women with breast cancer
Puklin L, Li F, Cartmel B, Zhao J, Sanft T, Lisevick A, Winer E, Lustberg M, Spiegelman D, Sharifi M, Irwin M, Ferrucci L. Post-diagnosis weight trajectories and mortality among women with breast cancer. Npj Breast Cancer 2023, 9: 98. PMID: 38042922, PMCID: PMC10693588, DOI: 10.1038/s41523-023-00603-5.Peer-Reviewed Original ResearchBody mass indexBreast cancer diagnosisWeight changeCause mortalityClinical characteristicsWeight gainWeight lossBreast cancerWeight trajectoriesPost-diagnosis weight changeBreast cancer-specific mortalityCox proportional hazards modelModern treatment eraCancer-specific mortalityCancer diagnosisModerate weight lossModerate weight gainProportional hazards modelAdverse health outcomesElectronic health recordsTreatment eraBaseline characteristicsTumor RegistryMass indexWeight managementComparison of incident breast cancer cases in the largest national US tumor registries.
Plichta J, Thomas S, Record S, Hyslop T, Hwang E, Greenup R. Comparison of incident breast cancer cases in the largest national US tumor registries. Journal Of Clinical Oncology 2023, 41: 6512-6512. DOI: 10.1200/jco.2023.41.16_suppl.6512.Peer-Reviewed Original ResearchIncident breast cancer casesNumber of patientsRace/ethnicityBreast cancer casesTumor RegistryCase ascertainmentBreast cancerCancer casesPatient countsNon-Hispanic American Indian/Alaska NativesNational tumor registryYear of diagnosisMale breast cancerPopulation cancer registryBreast cancer patientsPacific Islander patientsAmerican Indians/Alaska NativesNon-Hispanic blacksNon-Hispanic whitesChi-square testPublic-use databaseFemale patientsHispanic patientsTreatment patternsCancer RegistryCancer incidence among incarcerated and formerly incarcerated individuals: A statewide retrospective cohort study
Aminawung J, Soulos P, Oladeru O, Lin H, Gonsalves L, Puglisi L, Hassan S, Richman I, Wang E, Gross C. Cancer incidence among incarcerated and formerly incarcerated individuals: A statewide retrospective cohort study. Cancer Medicine 2023, 12: 15447-15454. PMID: 37248772, PMCID: PMC10417084, DOI: 10.1002/cam4.6162.Peer-Reviewed Original ResearchConceptsNon-Hispanic Black individualsScreen-detectable cancersStandardized incidence ratiosNon-Hispanic white individualsCancer incidenceGeneral populationStatewide retrospective cohort studyRetrospective cohort studyWhite individualsState tumor registryLower cancer incidenceBlack individualsHigher cancer incidenceIncarceration exposureCohort studyRetrospective cohortTumor RegistryIncidence ratiosIncarcerated individualsCancer screeningIncidence rateHigh incidenceConnecticut residentsEthnic strataIncidence
2022
Incarceration status and cancer mortality: A population-based study
Oladeru OT, Aminawung JA, Lin HJ, Gonsalves L, Puglisi L, Mun S, Gallagher C, Soulos P, Gross CP, Wang EA. Incarceration status and cancer mortality: A population-based study. PLOS ONE 2022, 17: e0274703. PMID: 36112653, PMCID: PMC9481043, DOI: 10.1371/journal.pone.0274703.Peer-Reviewed Original ResearchConceptsPopulation-based studyStage of diagnosisCancer mortalityInvasive cancerCancer diagnosisOverall survival rateCancer-related deathImmediate post-release periodCause mortalityTumor RegistryCancer characteristicsCancer survivalWorse outcomesCancer preventionHigh riskSurvival rateCancerMortalityIncarceration statusAdult residentsStudy periodTreatment effortsDiagnosisFive yearsPost-release periodThe United States
Pashankar F, Rodriguez-Galindo C. The United States. EJC Paediatric Oncology 2022, 55-58. DOI: 10.1007/978-3-030-92071-5_7.Peer-Reviewed Original ResearchRare tumorTumor Registry
2021
Survival impact of bowel resection at the time of interval cytoreductive surgery for advanced ovarian cancer
McNamara B, Guerra R, Qin J, Craig A, Chen L, Varma M, Chapman J. Survival impact of bowel resection at the time of interval cytoreductive surgery for advanced ovarian cancer. Gynecologic Oncology Reports 2021, 38: 100870. PMID: 34646929, PMCID: PMC8496105, DOI: 10.1016/j.gore.2021.100870.Peer-Reviewed Original ResearchInterval cytoreductive surgeryProgression-free survivalAdvanced ovarian cancerBowel resectionCytoreductive surgeryOvarian cancerKaplan-Meier survival analysisThree-year survivalIncreased risk of mortalityLonger hospital stayCox proportional hazards modelsLong-term sequelaeRisk of mortalityProportional hazards modelInterval cytoreductionNeoadjuvant cyclesR0 resectionNeoadjuvant chemotherapyConfounding variables of ageASA scoreBlood transfusionHospital staySurvival impactPoor prognosisTumor RegistryOTHR-11. Comprehensive Analysis of Driver Mutation Profile in a Cohort of Lung Cancer Patients Using Targeted Gene Panel Analysis with Focus on Brain Metastatic Disease
Kazarian M, Cui J, Tocino I, Mahajan A, Aboian M. OTHR-11. Comprehensive Analysis of Driver Mutation Profile in a Cohort of Lung Cancer Patients Using Targeted Gene Panel Analysis with Focus on Brain Metastatic Disease. Neuro-Oncology Advances 2021, 3: iii16-iii16. PMCID: PMC8351181, DOI: 10.1093/noajnl/vdab071.066.Peer-Reviewed Original ResearchNon-small cell lung cancerBrain metastasesDeep white matterLung cancerGene panel analysisWhite matterLung cancer brain metastasesHospital tumor registryTertiary referral institutionCancer brain metastasesProportion of patientsBrain metastatic diseaseMajority of patientsBrain metastatic lesionsCell lung cancerLung cancer patientsLung cancer cohortTargeted Gene Panel AnalysisLung cancer diagnosisMolecular signaturesNext-generation sequencing resultsMetastatic diseasePatient demographicsTumor RegistryMetastatic lesionsIncidence and characteristics of metastatic intracranial lesions in stage III and IV melanoma: a single institute retrospective analysis
Sandhu MRS, Chiang VL, Tran T, Yu JB, Weiss S, Goldberg S, Aboian M, Kluger HM, Mahajan A. Incidence and characteristics of metastatic intracranial lesions in stage III and IV melanoma: a single institute retrospective analysis. Journal Of Neuro-Oncology 2021, 154: 197-203. PMID: 34351544, DOI: 10.1007/s11060-021-03813-8.Peer-Reviewed Original ResearchConceptsStage IV melanomaMetastatic brain lesionsStage IIIInitial diagnosisTumor RegistryOverall incidenceBrain lesionsBM incidenceSingle-institute retrospective analysisBM developmentBrain metastases incidenceIncidence of BMInstitution's tumor registryStage III patientsTime of diagnosisMetastatic intracranial lesionsCommon genetic mutationsTumor genetic profileGenetic profileBM occurrenceMedian durationAdvanced melanomaSurveillance regimenIII patientsMedian timeIncarceration and Cancer-Related Outcomes (ICRO) study protocol: using a mixed-methods approach to investigate the role of incarceration on cancer incidence, mortality and quality of care
Puglisi L, Halberstam AA, Aminawung J, Gallagher C, Gonsalves L, Schulman-Green D, Lin HJ, Metha R, Mun S, Oladeru OT, Gross C, Wang EA. Incarceration and Cancer-Related Outcomes (ICRO) study protocol: using a mixed-methods approach to investigate the role of incarceration on cancer incidence, mortality and quality of care. BMJ Open 2021, 11: e048863. PMID: 34035109, PMCID: PMC8154989, DOI: 10.1136/bmjopen-2021-048863.Peer-Reviewed Original ResearchConceptsQuality of careCancer careCancer incidenceSequential explanatory mixed-methods study designCancer screening ratesConnecticut Tumor RegistrySocioeconomic statusMultivariable logistic regressionExplanatory mixed-methods study designCox survival modelsConnecticut DepartmentHuman Investigation CommitteePaucity of dataInstitutional review boardUniversity Institutional Review BoardMixed-methods study designTumor RegistryScreening ratesCancer mortalityInvasive cancerCancer outcomesCancer disparitiesStudy protocolHigh riskOutcome studies
2020
Increasing accrual of minority patients in breast cancer clinical trials
Trant AA, Walz L, Allen W, DeJesus J, Hatzis C, Silber A. Increasing accrual of minority patients in breast cancer clinical trials. Breast Cancer Research And Treatment 2020, 184: 499-505. PMID: 32840699, DOI: 10.1007/s10549-020-05873-2.Peer-Reviewed Original ResearchConceptsClinical trialsHispanic patientsCancer CenterEligibility criteriaWhite patientsMinority patientsYale Cancer CenterBreast cancer clinical trialsConnecticut Tumor RegistryLiver function testsBreast cancer trialsCancer clinical trialsParticipation of patientsClinical Trials OfficeGrand rounds presentationTumor RegistryCenter patientsFunction testsChronic conditionsCancer trialsPatient educationPatientsTrials InitiativeTrials OfficeHealthcare providersPrimary melanotic tumors of the nervous system: a consecutive case series
Grosshans H, Huttner A, Piepmeier J, Kaulen L, Fulbright R, Baehring J, Karschnia P. Primary melanotic tumors of the nervous system: a consecutive case series. European Journal Of Neurology 2020, 27: 2303-2307. PMID: 32654331, DOI: 10.1111/ene.14437.Peer-Reviewed Original ResearchConceptsPrimary melanotic tumorsNervous systemRelapsed diseaseClinical presentationMelanotic lesionsFavorable outcomeRadiation therapyPre-contrast T1-weighted imagingRelative incidenceMelanotic tumorsHomogenous contrast enhancementYale Cancer CenterAggressive surgical treatmentConsecutive case seriesPsammomatous melanotic schwannomaNervous system tumorsT1-weighted imagingT2-weighted imagingTumor mass effectMagnetic resonance imagingMelanin-containing cellsS100 positivitySurgical resectionSurgical treatmentTumor Registry
2019
Social media partnerships with patient organizations for neuro-oncology patient recruitment
Claus EB, Feliciano J, Benz LS, Calvocoressi L. Social media partnerships with patient organizations for neuro-oncology patient recruitment. Neuro-Oncology Practice 2019, 7: 143-151. PMID: 32626583, PMCID: PMC7318861, DOI: 10.1093/nop/npz049.Peer-Reviewed Original ResearchNeuro-oncology patientsPatient organizationsNational Cancer Institute's SurveillanceEnd Results (SEER) dataTumor RegistryPathology reportsTreatment responsePatient recruitmentEpidemiologic studiesNeuro-oncologyPatientsYale University SchoolSaliva specimenSuccessful enrollmentEnrollment methodsDisease etiologyAssociation websitesRegistryPublic healthUniversity SchoolParticipant populationResult dataSurveillanceOnline questionnaireParticipants
2016
Mortality risk from comorbidities independent of triple-negative breast cancer status: NCI-SEER-based cohort analysis
Swede H, Sarwar A, Magge A, Braithwaite D, Cook LS, Gregorio DI, Jones BA, R. Hoag J, Gonsalves L, L. Salner A, Zarfos K, Andemariam B, Stevens RG, G. Dugan A, Pensa M, A. Brockmeyer J. Mortality risk from comorbidities independent of triple-negative breast cancer status: NCI-SEER-based cohort analysis. Cancer Causes & Control 2016, 27: 627-636. PMID: 27000206, PMCID: PMC5591028, DOI: 10.1007/s10552-016-0736-3.Peer-Reviewed Original ResearchConceptsCharlson co-morbidity indexRisk of deathBreast cancer patientsB patientsCCI scoreHazard ratioCancer patientsTriple-negative breast cancer subtypeTriple-negative breast cancer statusWhite breast cancer patientsCo-morbidity indexConnecticut Tumor RegistryEstimated hazard ratioBreast cancer statusBreast cancer subtypesAA/BCause mortalityClinicopathological factorsTumor RegistryAmerican/BlackCancer populationHigh prevalenceBreast cancerCohort analysisCancer statusAn electronic intervention to improve structured cancer stage data capture.
Adelson K, Framski K, Lazette P, Vega T, Lilenbaum R. An electronic intervention to improve structured cancer stage data capture. Journal Of Clinical Oncology 2016, 34: 151-151. DOI: 10.1200/jco.2016.34.7_suppl.151.Peer-Reviewed Original ResearchTumor RegistryCancer stagingOutcome analysisClinical trial eligibility determinationDisease-free intervalPalliative care consultationClinical trial eligibilityNumber of patientsElectronic decision supportEligible patientsTrial eligibilityAdvanced diseaseOverall survivalCare consultationsCancer CommitteeFree intervalCancer stageClinical trialsLung measuresClinical notesPatientsRegistry reportingStagingCancerElectronic intervention
2015
High prevalence of discordant human papillomavirus and p16 oropharyngeal squamous cell carcinomas in an African American cohort
Liu J, Parajuli S, Blackman E, Gibbs D, Ellis A, Hull A, Beck J, Giri V, Iherjirka P, Khurana J, Ragin C. High prevalence of discordant human papillomavirus and p16 oropharyngeal squamous cell carcinomas in an African American cohort. Head & Neck 2015, 38: e867-e872. PMID: 25962720, PMCID: PMC4643423, DOI: 10.1002/hed.24117.Peer-Reviewed Original ResearchConceptsOropharyngeal squamous cell carcinomaSquamous cell carcinomaAfrican American cohortPolymerase chain reactionAmerican cohortHPV- oropharyngeal squamous cell carcinomaHPV/p16 statusIncidence of HPVAfrican American patientsTumor RegistryCell carcinomaSCC cohortHuman papillomavirusP16 statusAmerican patientsP16 stainingTumor blocksHPVPatientsStandard immunohistochemistryTumor typesP16 negativityCohortChain reactionSurvivalThe Role of Registries and Tumor Banking in Rare Pediatric Tumors
Pashankar F, Bisogno G, Ribeiro R, Messinger Y, Schultz K, Rodriguez-Galindo C. The Role of Registries and Tumor Banking in Rare Pediatric Tumors. Current Pediatrics Reports 2015, 3: 128-136. DOI: 10.1007/s40124-015-0077-9.Peer-Reviewed Original ResearchRare pediatric tumorTumor RegistryRare tumorPediatric tumorsDevelopment of registriesRole of registriesTypes of registriesTherapeutic guidelinesPediatric malignanciesCo-operative groupsSingle tumorMolecular pathogenesisRegistryHeterogenous groupTumorsOrphan diseaseTissue repositoryUnderstanding carcinogenesisTumor bankingGroupMalignancyPathogenesisDisease
2014
Poorer Prognosis of African-American Patients With Mycosis Fungoides: An Analysis of the SEER Dataset, 1988 to 2008
Nath SK, Yu JB, Wilson LD. Poorer Prognosis of African-American Patients With Mycosis Fungoides: An Analysis of the SEER Dataset, 1988 to 2008. Clinical Lymphoma Myeloma & Leukemia 2014, 14: 419-423. PMID: 24508350, PMCID: PMC4081527, DOI: 10.1016/j.clml.2013.12.018.Peer-Reviewed Original ResearchConceptsDisease-specific survivalAA raceRT utilizationRadiation therapyOverall survivalTumor stageMultivariate analysisInitial treatment modalityWorse overall survivalAfrican American patientsPublic-use databaseClinical factorsTumor RegistryAA patientsFemale patientsMycosis fungoidesWorse prognosisPoor prognosisFemale sexTreatment modalitiesAdvanced agePoor survivalPoorer PrognosisPatientsMedical careA New Estimation Approach for Combining Epidemiological Data From Multiple Sources
Huang H, Ma X, Waagepetersen R, Holford TR, Wang R, Risch H, Mueller L, Guan Y. A New Estimation Approach for Combining Epidemiological Data From Multiple Sources. Journal Of The American Statistical Association 2014, 109: 11-23. PMID: 24683281, PMCID: PMC3964681, DOI: 10.1080/01621459.2013.870904.Peer-Reviewed Original ResearchEpidemiological dataPopulation-based case-control studyBehavioral Risk Factor Surveillance SystemRisk Factor Surveillance SystemConnecticut Tumor RegistryCase-control studyPancreatic cancer riskGroup of controlsGroup of casesTumor RegistryRisk factorsHealth SurveyCancer riskCertain diseasesSurveillance system
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