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 phenotypeA germline mutation in the BRCA13’UTR predicts Stage IV breast cancer
Dorairaj JJ, Salzman DW, Wall D, Rounds T, Preskill C, Sullivan C, Lindner R, Curran C, Lezon-Geyda K, McVeigh T, Harris L, Newell J, Kerin MJ, Wood M, Miller N, Weidhaas JB. A germline mutation in the BRCA13’UTR predicts Stage IV breast cancer. BMC Cancer 2014, 14: 421. PMID: 24915755, PMCID: PMC4059881, DOI: 10.1186/1471-2407-14-421.Peer-Reviewed Original ResearchConceptsStage IV breast cancerBreast cancerTumor biologyCancer riskBRCA1 gene expressionTriple-negative breast cancerLess dense breastsStage IV diseaseAggressive tumor biologyBreast cancer patientsBreast cancer riskOvarian cancer riskCohort of womenNegative breast cancerTriple-negative samplesBreast cancer cell linesBreast tumor tissuesHigh-risk familiesNegative patient samplesCancer cell linesObese womenGene expressionCancer patientsTT variantBreast program
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 associationCancerAntigenCD34