2016
Calcium-Sensing Receptor Promotes Breast Cancer by Stimulating Intracrine Actions of Parathyroid Hormone–Related Protein
Kim W, Takyar FM, Swan K, Jeong J, VanHouten J, Sullivan C, Dann P, Yu H, Fiaschi-Taesch N, Chang W, Wysolmerski J. Calcium-Sensing Receptor Promotes Breast Cancer by Stimulating Intracrine Actions of Parathyroid Hormone–Related Protein. Cancer Research 2016, 76: 5348-5360. PMID: 27450451, PMCID: PMC5026591, DOI: 10.1158/0008-5472.can-15-2614.Peer-Reviewed Original ResearchConceptsMMTV-PyMT miceBreast cancer cellsCaSR activationBone metastasesBreast cancerInhibited tumor cell proliferationOsteolytic bone metastasesCancer cellsHuman breast cancer cell linesCalcium-sensing receptorHuman breast cancer cellsHormone-related proteinTransgenic mouse modelBreast cancer cell linesMMTV-PyMT transgenic mouse modelBreast cancer progressionTumor cell proliferationTumor cell growthCancer cell linesPTHrP levelsTissue-specific disruptionHigh extracellular concentrationsPTHrP productionCASR genePTHrP expression
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
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 associationBiomarker Validation: In Situ Analysis of Protein Expression Using Semiquantitative Immunohistochemistry-Based Techniques
Sullivan CA, Chung GG. Biomarker Validation: In Situ Analysis of Protein Expression Using Semiquantitative Immunohistochemistry-Based Techniques. Clinical Colorectal Cancer 2008, 7: 172-177. PMID: 18621634, DOI: 10.3816/ccc.2008.n.022.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorGene Expression ProfilingGenomicsHumansImmunohistochemistryProteomicsTissue Array AnalysisConceptsProteomic high-throughput technologiesProtein expressionExpression profile dataHigh-throughput technologiesDrug development targetsMicroarray technologyImmunohistochemistry-based assessmentArchived samplesCancer researchExpressionTissue microarray technologyTissue samplesAbundanceSitu analysisAbundance of data