2015
Phase 1b study of the mammalian target of rapamycin inhibitor sirolimus in combination with nanoparticle albumin–bound paclitaxel in patients with advanced solid tumors
Abu-Khalaf MM, Baumgart MA, Gettinger SN, Doddamane I, Tuck DP, Hou S, Chen N, Sullivan C, Lezon-Geyda K, Zelterman D, Hatzis C, Deshpande H, Digiovanna MP, Azodi M, Schwartz PE, Harris LN. Phase 1b study of the mammalian target of rapamycin inhibitor sirolimus in combination with nanoparticle albumin–bound paclitaxel in patients with advanced solid tumors. Cancer 2015, 121: 1817-1826. PMID: 25649370, DOI: 10.1002/cncr.29254.Peer-Reviewed Original ResearchConceptsDose-limiting toxicityIntravenous nab-paclitaxelPhase 1b studyAdvanced solid tumorsNab-paclitaxelFDG activityDay 1Solid tumorsNanoparticle albumin-bound paclitaxelMammalian targetWeekly oral doseAcceptable safety profileRapamycin inhibitor sirolimusAlbumin-bound paclitaxelClinical trial endpointsExploratory gene expression analysisPositron emission tomographyStable diseaseTaxane therapyPartial responseWeekly doseComplete responseOral sirolimusPharmacodynamic assessmentOral dose
2014
Automated Quantitative Analysis of Tissue Microarray of 443 Patients with Colorectal Adenocarcinoma: Low Expression of Bcl-2 Predicts Poor Survival
Nicholson AD, Guo X, Sullivan CA, Cha CH. Automated Quantitative Analysis of Tissue Microarray of 443 Patients with Colorectal Adenocarcinoma: Low Expression of Bcl-2 Predicts Poor Survival. Journal Of The American College Of Surgeons 2014, 219: 977-987. PMID: 25127509, DOI: 10.1016/j.jamcollsurg.2014.07.007.Peer-Reviewed Original ResearchConceptsDisease-specific survivalBcl-2 expressionColorectal cancerOverall survivalPoor disease-specific survivalCox proportional hazards modelIndependent prognostic factorSubset of patientsColorectal adenocarcinoma samplesLog-rank testBcl-2Proportional hazards modelSemi-quantitative grading methodsColorectal cancer samplesNumber of cancersPrognostic factorsT stageChemotherapy choiceClinicopathologic variablesColorectal adenocarcinomaUnivariate analysisPatient outcomesPoor survivalTissue microarrayAggressive phenotype
2013
Molecular Phenotypes in Triple Negative Breast Cancer from African American Patients Suggest Targets for Therapy
Lindner R, Sullivan C, Offor O, Lezon-Geyda K, Halligan K, Fischbach N, Shah M, Bossuyt V, Schulz V, Tuck DP, Harris LN. Molecular Phenotypes in Triple Negative Breast Cancer from African American Patients Suggest Targets for Therapy. PLOS ONE 2013, 8: e71915. PMID: 24260093, PMCID: PMC3832509, DOI: 10.1371/journal.pone.0071915.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerNegative breast cancerInsulin-like growth factor-1African American patientsAA patientsBreast cancerAmerican patientsAA tumorsHigher breast cancer mortalityLuminal androgen receptorBreast cancer mortalityDistinct transcriptional programsBasal-like subtypeBasal-like phenotypeGrowth factor-1Expression of VEGFHigher tumor vascularizationDrug response profilesEA tumorsRetrospective cohortTNBC patientsEA patientsPoor prognosisTNBC casesTNBC subtypes
2012
Hypoxia-induced protein CAIX is associated with somatic loss of BRCA1 protein and pathway activity in triple negative breast cancer
Neumeister VM, Sullivan CA, Lindner R, Lezon-Geyda K, Li J, Zavada J, Martel M, Glazer PM, Tuck DP, Rimm DL, Harris L. Hypoxia-induced protein CAIX is associated with somatic loss of BRCA1 protein and pathway activity in triple negative breast cancer. Breast Cancer Research And Treatment 2012, 136: 67-75. PMID: 22976806, DOI: 10.1007/s10549-012-2232-0.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntigens, NeoplasmBiomarkers, TumorBRCA1 ProteinBreast NeoplasmsCarbonic Anhydrase IXCarbonic AnhydrasesCell HypoxiaFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedMutationNeoplasm StagingReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneSignal TransductionConceptsTriple-negative breast cancerCA IX protein expressionNegative breast cancerBreast cancer cohortTNBC cohortProtein expressionBreast cancerCancer cohortCA IXTriple-negative patientsWorse overall survivalBreast cancer patientsTriple-negative phenotypePARP inhibitor therapyUnselected breast cancer cohortGene expression signaturesInhibitor therapyNegative patientsOverall survivalUnselected cohortCancer patientsBRCA1 protein expressionUseful biomarkerPatientsDefective homologous recombination
2009
Tissue Microarray Analysis of 560 Patients with Colorectal Adenocarcinoma: High Expression of HuR Predicts Poor Survival
Yoo PS, Sullivan CA, Kiang S, Gao W, Uchio EM, Chung GG, Cha CH. Tissue Microarray Analysis of 560 Patients with Colorectal Adenocarcinoma: High Expression of HuR Predicts Poor Survival. Annals Of Surgical Oncology 2009, 16: 200. PMID: 19009247, DOI: 10.1245/s10434-008-0209-3.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAdultAgedAged, 80 and overAntigens, SurfaceAutomationBiomarkers, TumorColorectal NeoplasmsELAV ProteinsELAV-Like Protein 1FemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedImmunoenzyme TechniquesMaleMiddle AgedNeoplasm StagingPlatelet Endothelial Cell Adhesion Molecule-1PrognosisRNA-Binding ProteinsSurvival RateTissue Array AnalysisVascular Endothelial Growth Factor AYoung AdultConceptsVascular endothelial growth factorColorectal adenocarcinomaPoor survivalHuR expressionKaplan-Meier analysisNovel therapeutic targetTissue microarray analysisEndothelial growth factorChi-squared testInstitutional review boardHuR protein expressionAdvanced diseaseClinical outcomesHighest quartileIndependent predictorsPrognostic significanceColorectal cancerCox regressionTumor stageMetastasis stageColorectal carcinomaLowest quartileClinical dataExpression of HuRTissue microarray
2008
Microvessel area using automated image analysis is reproducible and is associated with prognosis in breast cancer
Sullivan CA, Ghosh S, Ocal IT, Camp RL, Rimm DL, Chung GG. Microvessel area using automated image analysis is reproducible and is associated with prognosis in breast cancer. Human Pathology 2008, 40: 156-165. PMID: 18799189, DOI: 10.1016/j.humpath.2008.07.005.Peer-Reviewed Original ResearchConceptsVIII-related antigenMicrovessel densityMicrovessel areaBreast cancerFactor VIII-related antigenPrimary breast cancerEstrogen receptor negativityReceptor negativityNode positivityClinical outcomesEvaluable casesPrognostic parametersAngiogenic biomarkersLarge tumorsYear survivalQuantitative image analysis systemTissue microarrayTumorsCD31Multivariate levelVessel compartmentPoor associationCancerAntigenCD34High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer
Ghosh S, Sullivan CA, Zerkowski MP, Molinaro AM, Rimm DL, Camp RL, Chung GG. High levels of vascular endothelial growth factor and its receptors (VEGFR-1, VEGFR-2, neuropilin-1) are associated with worse outcome in breast cancer. Human Pathology 2008, 39: 1835-1843. PMID: 18715621, PMCID: PMC2632946, DOI: 10.1016/j.humpath.2008.06.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularConnecticutFemaleFluorescent Antibody Technique, IndirectHumansImage Processing, Computer-AssistedImmunoenzyme TechniquesKaplan-Meier EstimateMiddle AgedNeuropilin-1Receptors, Vascular Endothelial Growth FactorSurvival RateTissue Array AnalysisVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor Receptor-2Young AdultConceptsVascular endothelial growth factorEndothelial growth factorBreast cancerVEGFR-1Growth factorNeuropilin-1VEGFR-2Kaplan-Meier survival analysisBreast cancer tissue microarrayVascular endothelial growth factor receptorPrimary breast cancerStandard prognostic factorsEndothelial growth factor receptorPrimary breast adenocarcinomaCancer tissue microarrayTumor-specific expressionGrowth factor receptorPrognostic factorsPrognostic significancePrognostic valueWorse outcomesLarge cohortTissue microarraySurvival analysisSignificant association