2022
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
Joel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.Peer-Reviewed Original ResearchMeSH KeywordsBreastDeep LearningHumansMagnetic Resonance ImagingMammographyTomography, X-Ray Computed
2018
Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA
Goldberg SB, Narayan A, Kole AJ, Decker RH, Teysir J, Carriero NJ, Lee A, Nemati R, Nath SK, Mane SM, Deng Y, Sukumar N, Zelterman D, Boffa DJ, Politi K, Gettinger S, Wilson LD, Herbst RS, Patel AA. Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA. Clinical Cancer Research 2018, 24: 1872-1880. PMID: 29330207, PMCID: PMC5899677, DOI: 10.1158/1078-0432.ccr-17-1341.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerImmune checkpoint inhibitorsCtDNA responseCheckpoint inhibitorsCtDNA levelsMetastatic non-small cell lung cancerImmune checkpoint inhibitor therapySuperior progression-free survivalRadiographic tumor sizeCheckpoint inhibitor therapyProgression-free survivalSuperior overall survivalTumor DNA levelsCell lung cancerAllele fractionClin Cancer ResMultigene next-generation sequencingMutant allele fractionTumor cell deathInhibitor therapyOverall survivalRadiographic responseImmunotherapy efficacyImmunotherapy responseMedian time
2012
Targeting the Apoptotic Pathway in Chondrosarcoma Using Recombinant Human Apo2L/TRAIL (Dulanermin), a Dual Proapoptotic Receptor (DR4/DR5) Agonist
Subbiah V, Brown RE, Buryanek J, Trent J, Ashkenazi A, Herbst R, Kurzrock R. Targeting the Apoptotic Pathway in Chondrosarcoma Using Recombinant Human Apo2L/TRAIL (Dulanermin), a Dual Proapoptotic Receptor (DR4/DR5) Agonist. Molecular Cancer Therapeutics 2012, 11: 2541-2546. PMID: 22914439, PMCID: PMC3496030, DOI: 10.1158/1535-7163.mct-12-0358.Peer-Reviewed Original ResearchMeSH KeywordsApoptosisBone NeoplasmsCell SurvivalChondrosarcomaDNA Mutational AnalysisHumansImmunohistochemistryIsocitrate DehydrogenaseLung NeoplasmsMaleMiddle AgedProteomicsProto-Oncogene Proteins c-bcl-2Radiography, ThoracicReceptors, Death DomainRecombinant ProteinsSignal TransductionTNF-Related Apoptosis-Inducing LigandTomography, X-Ray ComputedTreatment OutcomeConceptsRecombinant human Apo2L/TRAILApo2L/TRAILRecent computed tomography scanSustained partial responseEvidence of diseaseComputed tomography scanP-ERK 1/2Partial responseProgressive diseaseNF-κBp65Receptor agonistTomography scanSubcentimeter nodulesPatient tumorsMetastatic chondrosarcomaP-mTORPatientsProlonged responseP-STAT3Proapoptotic receptor agonistsChondrosarcomaBcl-2DulanerminLungTumors
2009
Tumor Blood Flow Measured by Perfusion Computed Tomography and 15O-Labeled Water Positron Emission Tomography
Ng CS, Kodama Y, Mullani NA, Barron BJ, Wei W, Herbst RS, Abbruzzese JL, Charnsangavej C. Tumor Blood Flow Measured by Perfusion Computed Tomography and 15O-Labeled Water Positron Emission Tomography. Journal Of Computer Assisted Tomography 2009, 33: 460-465. PMID: 19478644, DOI: 10.1097/rct.0b013e318182d2e0.Peer-Reviewed Original ResearchConceptsWater positron emission tomographyPositron emission tomographyBlood flowEmission tomographyMean blood flow valuesBlood flow estimatesPerfusion Computed TomographyTumor blood flowPairs of examinationsBlood flow valuesMixed regression analysesUse of PCTBlood flow measurementsClinical gold standardIndex tumorClinical studiesComputed tomographySolid tumorsTumorsGold standardBland-AltmanTomographySignificant differencesRegression analysisT-test
2005
Tumor Cavitation in Stage I Non–Small Cell Lung Cancer: Epidermal Growth Factor Receptor Expression and Prediction of Poor Outcome
Onn A, Choe DH, Herbst RS, Correa AM, Munden RF, Truong MT, Vaporciyan AA, Isobe T, Gilcrease MZ, Marom EM. Tumor Cavitation in Stage I Non–Small Cell Lung Cancer: Epidermal Growth Factor Receptor Expression and Prediction of Poor Outcome. Radiology 2005, 237: 342-7. PMID: 16183941, DOI: 10.1148/radiol.2371041650.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellErbB ReceptorsFemaleFollow-Up StudiesHumansImmunohistochemistryLung NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisProportional Hazards ModelsRadiography, ThoracicReceptor, ErbB-2Retrospective StudiesSurvival RateTomography, X-Ray ComputedConceptsStage I non-small cell lung cancerNon-small cell lung cancerEpidermal growth factor receptorCell lung cancerSquamous cell carcinomaCavitary lesionsTumor diameterCell carcinomaLung cancerSurvival timePathologic stage I non-small cell lung cancerEGFR overexpressionProportional hazards regression modelsShorter disease-free survival timeShorter overall survival timeDisease-free survival timeEpidermal growth factor receptor expressionFindings of chestGrowth factor receptor expressionMedian overall survivalOverall survival timeHazards regression modelsPresence of calcificationFactor receptor expressionInstitutional review board
2004
A phase I surrogate endpoint study of SU6668 in patients with solid tumors
Xiong HQ, Herbst R, Faria SC, Scholz C, Davis D, Jackson EF, Madden T, McConkey D, Hicks M, Hess K, Charnsangavej C, Abbruzzese JL. A phase I surrogate endpoint study of SU6668 in patients with solid tumors. Investigational New Drugs 2004, 22: 459-466. PMID: 15292716, DOI: 10.1023/b:drug.0000036688.96453.8d.Peer-Reviewed Original ResearchConceptsCore needle biopsyBiologic effectsNeedle biopsyDay 1Solid tumorsMean apparent oral clearanceContrast-enhanced magnetic resonance imagingApparent oral clearanceDynamic contrast-enhanced magnetic resonance imagingCorrelative studiesHigh-performance liquid chromatography assayMagnetic resonance imagingDCE-MRI resultsEligible patientsOral clearanceLiquid chromatography assayEndpoint studiesAntiangiogenic agentsFunctional CTBlood flowTumor specimensPatientsTissue biopsiesDay 22PK studies
2003
Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response.
Erasmus JJ, Gladish GW, Broemeling L, Sabloff BS, Truong MT, Herbst RS, Munden RF. Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response. Journal Of Clinical Oncology 2003, 21: 2574-82. PMID: 12829678, DOI: 10.1200/jco.2003.01.144.Peer-Reviewed Original ResearchConceptsTumor sizeTumor responseLung tumorsSerial measurementsComputed tomographyWorld Health Organization criteriaResponse Evaluation CriteriaLung tumor sizeProgressive diseaseWHO criteriaOrganization criteriaLung lesionsSolid malignanciesStudy groupCT scanSolid tumorsIrregular tumorTumorsThoracic radiologistsResponse criteriaSignificant differencesPatientsInterobserver measurementsUnidimensional measurementBD measurements