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, H. 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
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
Where Do We Place PankoMab in the Reagents Used to Study the MUC1 Superfamily?
Li J, Sullivan C, Harris L. Where Do We Place PankoMab in the Reagents Used to Study the MUC1 Superfamily? Oncology Research And Treatment 2009, 32: 235-237. PMID: 19420968, DOI: 10.1159/000209989.Peer-Reviewed Original ResearchTissue 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
High 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