2012
Multi-Level Targeting of the Phosphatidylinositol-3-Kinase Pathway in Non-Small Cell Lung Cancer Cells
Zito CR, Jilaveanu LB, Anagnostou V, Rimm D, Bepler G, Maira SM, Hackl W, Camp R, Kluger HM, Chao HH. Multi-Level Targeting of the Phosphatidylinositol-3-Kinase Pathway in Non-Small Cell Lung Cancer Cells. PLOS ONE 2012, 7: e31331. PMID: 22355357, PMCID: PMC3280285, DOI: 10.1371/journal.pone.0031331.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAdultAgedAged, 80 and overAntineoplastic AgentsBlotting, WesternCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCell Line, TumorCell ProliferationClass Ia Phosphatidylinositol 3-KinaseDrug SynergismFemaleFluorescent Antibody TechniqueHumansImmunoenzyme TechniquesLung NeoplasmsMaleMiddle AgedPhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktSignal TransductionTissue Array AnalysisTOR Serine-Threonine KinasesConceptsNon-small cell lung cancerNSCLC cell linesDual PI3K/mTOR inhibitorPI3K/AKT/mTOR pathwayPI3K/mTOR inhibitorAKT/mTOR pathwayPI3K inhibitorsNVP-BEZ235MTOR inhibitorsNVP-BKM120MTOR expressionAdvanced stageCell linesMTOR pathwayPI3K subunitsNon-small cell lung cancer cellsK inhibitorsCell lung cancer cellsCell lung cancerSquamous cell carcinomaP85 expressionSynergistic growth inhibitionRegulation of pAktExpression of p85Lung cancer cells
2007
Quantitative analysis of estrogen receptor heterogeneity in breast cancer
Chung GG, Zerkowski MP, Ghosh S, Camp RL, Rimm DL. Quantitative analysis of estrogen receptor heterogeneity in breast cancer. Laboratory Investigation 2007, 87: 662-669. PMID: 17334408, DOI: 10.1038/labinvest.3700543.Peer-Reviewed Original ResearchAdenocarcinomaAutomationBiomarkers, TumorBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryLinear ModelsNeoplasm ProteinsObserver VariationParaffin EmbeddingPrognosisProtein Array AnalysisReceptors, EstrogenReproducibility of ResultsResearch DesignRetrospective StudiesSensitivity and Specificity
2006
Utility of molecular genetic signatures in the delineation of gastric neoplasia
Kidd M, Modlin IM, Mane SM, Camp RL, Eick GN, Latich I, Zikusoka MN. Utility of molecular genetic signatures in the delineation of gastric neoplasia. Cancer 2006, 106: 1480-1488. PMID: 16502410, DOI: 10.1002/cncr.21758.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdenocarcinomaAdultAgedAntigens, NeoplasmCarcinoid TumorChromogranin AChromograninsDiagnosis, DifferentialFemaleGene Expression ProfilingGenetic MarkersHistone DeacetylasesHumansImmunohistochemistryMaleMiddle AgedNeoplasm InvasivenessOligonucleotide Array Sequence AnalysisPhenotypeRepressor ProteinsReverse Transcriptase Polymerase Chain ReactionStomach NeoplasmsTrans-ActivatorsConceptsType III/IVGastric carcinoidsMAGE-D2Gastric neoplasiaMolecular genetic signaturesType I/IIGenetic signaturesTumor invasionSimilar expression patternsCgA protein levelsProtein expression levelsII tumorsStromal tumorsClinical behaviorGastric adenocarcinomaGastric neoplasmsMTA1 levelsNormal mucosaImmunohistochemical analysisMolecular basisExpression patternsGene expressionTumorsGene signatureBiological rationaleVascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray
Chung GG, Yoon HH, Zerkowski MP, Ghosh S, Thomas L, Harigopal M, Charette LA, Salem RR, Camp RL, Rimm DL, Burtness BA. Vascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray. Cancer 2006, 106: 1677-1684. PMID: 16532435, DOI: 10.1002/cncr.21783.Peer-Reviewed Original ResearchConceptsPancreatic cancer tissue microarrayCancer tissue microarrayTissue microarrayVEGF receptor 1Flt-1Receptor 1Kaplan-Meier survival curvesVascular endothelial growth factor (VEGF) expressionIndependent prognostic factorVascular endothelial growth factorFlk-1Growth factor expressionEndothelial growth factorPrimary antibodyFlt-1 expressionOverall survivalPrognostic factorsWorse survivalAggressive diseaseDisease stagePoor prognosisTumor expressionPancreatic cancerPancreatic adenocarcinomaPrincipal receptor
2003
Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors
Ocal I, Dolled‐Filhart M, D'Aquila TG, Camp RL, Rimm DL. Tissue microarray‐based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors. Cancer 2003, 97: 1841-1848. PMID: 12673709, DOI: 10.1002/cncr.11335.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaBiomarkers, TumorBreast NeoplasmsCohort StudiesErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHepatocyte Growth FactorHumansImmunoenzyme TechniquesKi-67 AntigenLymph NodesLymphatic MetastasisNeoplasm StagingPrognosisProto-Oncogene Proteins c-metReceptor, ErbB-2Receptors, EstrogenReceptors, Fibroblast Growth FactorReceptors, ProgesteroneSurvival RateConceptsLymph node negative breast carcinomaEpidermal growth factor receptorNode-negative breast carcinomaNegative breast carcinomaHER-2Breast carcinomaSet of patientsReceptor tyrosine kinasesGrowth factor receptorReceptor statusTumor sizeWorse outcomesEpidermal growth factor family receptorsProgesterone receptor expression levelsTissue microarray-based studyFamily receptorsHormone receptor statusFactor receptorGroup of patientsIndependent predictive valueExpression levelsReceptor expression levelsUnique staining patternStudy cohortTissue microarray technology