2022
Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements.
Blenman K, Fanucci K, Bai Y, Pelekanou V, Nahleh Z, Shafi S, Burela S, Barlow W, Sharma P, Thompson A, Godwin A, Rimm D, Hortobagyi G, Pusztai L. Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements. Journal Of Clinical Oncology 2022, 40: 594-594. DOI: 10.1200/jco.2022.40.16_suppl.594.Peer-Reviewed Original ResearchPathologic complete responseBreast cancerNeoadjuvant chemotherapyComplete responseTIL scoreResidual diseaseResponse predictive markersBetter EFSBevacizumab benefitLymphocyte measurementsTIL assessmentFree survivalPredictive markerTIL quantificationInternational guidelinesPretreatment samplesLogistic regressionCancerOutcome discriminationChemotherapyScoresContinuous scoresTumorsClinical adoptionStrong positive correlation
2020
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
Kos Z, Roblin E, Kim RS, Michiels S, Gallas BD, Chen W, van de Vijver KK, Goel S, Adams S, Demaria S, Viale G, Nielsen TO, Badve SS, Symmans WF, Sotiriou C, Rimm DL, Hewitt S, Denkert C, Loibl S, Luen SJ, Bartlett JMS, Savas P, Pruneri G, Dillon DA, Cheang MCU, Tutt A, Hall JA, Kok M, Horlings HM, Madabhushi A, van der Laak J, Ciompi F, Laenkholm AV, Bellolio E, Gruosso T, Fox SB, Araya JC, Floris G, Hudeček J, Voorwerk L, Beck AH, Kerner J, Larsimont D, Declercq S, Van den Eynden G, Pusztai L, Ehinger A, Yang W, AbdulJabbar K, Yuan Y, Singh R, Hiley C, Bakir MA, Lazar AJ, Naber S, Wienert S, Castillo M, Curigliano G, Dieci MV, André F, Swanton C, Reis-Filho J, Sparano J, Balslev E, Chen IC, Stovgaard EIS, Pogue-Geile K, Blenman KRM, Penault-Llorca F, Schnitt S, Lakhani SR, Vincent-Salomon A, Rojo F, Braybrooke JP, Hanna MG, Soler-Monsó MT, Bethmann D, Castaneda CA, Willard-Gallo K, Sharma A, Lien HC, Fineberg S, Thagaard J, Comerma L, Gonzalez-Ericsson P, Brogi E, Loi S, Saltz J, Klaushen F, Cooper L, Amgad M, Moore DA, Salgado R. Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer. Npj Breast Cancer 2020, 6: 17. PMID: 32411819, PMCID: PMC7217863, DOI: 10.1038/s41523-020-0156-0.Peer-Reviewed Original ResearchStromal tumor-infiltrating lymphocytesEarly TNBCBreast cancerHER2-positive breast cancerTumor-infiltrating lymphocytesLymphocyte distributionStromal tumorsInflammatory cellsPredictive biomarkersTreatment selectionPrognostic toolClinical practiceOutcome estimatesLymphocytesReproducible assessmentTNBCTumorsCancerScoring guidelinesMultiple areasTumor boundariesRisk estimationImpact of discrepanciesRing studiesAssessmentCompactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores
Ding R, Prasanna P, Corredor G, Lu C, Velu P, Le K, Leo P, Beig N, Velcheti V, Rimm D, Schalper K, Madabhushi A. Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. 2020, 2. DOI: 10.1117/12.2549588.Peer-Reviewed Original ResearchAssociation between low estrogen receptor positive breast cancer and staining performance
Caruana D, Wei W, Martinez-Morilla S, Rimm DL, Reisenbichler ES. Association between low estrogen receptor positive breast cancer and staining performance. Npj Breast Cancer 2020, 6: 5. PMID: 32047851, PMCID: PMC7002746, DOI: 10.1038/s41523-020-0146-2.Peer-Reviewed Original ResearchER expressionER- tumorsBreast carcinomaTissue microarrayNormal epitheliumEstrogen receptor-positive breast cancerER casesReceptor-positive breast cancerControl patient populationER-positive tumorsEstrogen receptor expressionPositive breast cancerMean optical densityBackground epitheliumPositive tumorsControl cohortPatient populationControl tumorsReceptor expressionBenign epitheliumBreast cancerRare caseNormal ductsER stainingTumorsAcquired Resistance to HER2-Targeted Therapies Creates Vulnerability to ATP Synthase Inhibition
Gale M, Li Y, Cao J, Liu ZZ, Holmbeck MA, Zhang M, Lang SM, Wu L, Do Carmo M, Gupta S, Aoshima K, DiGiovanna MP, Stern DF, Rimm DL, Shadel GS, Chen X, Yan Q. Acquired Resistance to HER2-Targeted Therapies Creates Vulnerability to ATP Synthase Inhibition. Cancer Research 2020, 80: 524-535. PMID: 31690671, PMCID: PMC7002225, DOI: 10.1158/0008-5472.can-18-3985.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntineoplastic Combined Chemotherapy ProtocolsApoptosisBreast NeoplasmsCell ProliferationDrug Resistance, NeoplasmEnzyme InhibitorsFemaleHumansMiceMice, Inbred NODMice, SCIDMitochondrial Proton-Translocating ATPasesOligomycinsReceptor, ErbB-2TrastuzumabTumor Cells, CulturedXenograft Model Antitumor AssaysConceptsResistant cellsHER2-Targeted TherapyTrastuzumab-resistant tumorsNew therapeutic strategiesNovel potential targetDrug-free mediumAntibody therapySynthase inhibitionLow doseTherapeutic strategiesTrastuzumabBreast tumorsHER2TherapyAcquired ResistanceTumorsPotential targetMitochondrial respirationCellsSelective dependencyInhibitionMinimal changesNovel vulnerabilitiesATP synthase inhibitionOligomycin A
2018
Tumor-specific MHC-II expression drives a unique pattern of resistance to immunotherapy via LAG-3/FCRL6 engagement
Johnson DB, Nixon MJ, Wang Y, Wang DY, Castellanos E, Estrada MV, Ericsson-Gonzalez PI, Cote CH, Salgado R, Sanchez V, Dean PT, Opalenik SR, Schreeder DM, Rimm DL, Kim JY, Bordeaux J, Loi S, Horn L, Sanders ME, Ferrell PB, Xu Y, Sosman JA, Davis RS, Balko JM. Tumor-specific MHC-II expression drives a unique pattern of resistance to immunotherapy via LAG-3/FCRL6 engagement. JCI Insight 2018, 3: e120360. PMID: 30568030, PMCID: PMC6338319, DOI: 10.1172/jci.insight.120360.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAnimalsAntibodies, NeutralizingAntigens, CDBreast NeoplasmsCD4-Positive T-LymphocytesCell Line, TumorHistocompatibility Antigens Class IIHLA-DR AntigensHumansImmunotherapyKiller Cells, NaturalLigandsLymphocyte Activation Gene 3 ProteinMiceProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-CellReceptors, Cell SurfaceT-LymphocytesTumor MicroenvironmentConceptsMHC-II expressionT cellsAnti-PD-1 therapyTumor cellsPD-1 pathwayTumor-intrinsic factorsPD-1-targeted immunotherapiesMHC-II receptorsDurable responsesPD-1Immune activationImmunotherapy targetPreclinical modelsLAG-3TumorsUnique patternMHCEnhanced expressionInhibitory functionAdaptive resistanceNovel inhibitory functionImmunotherapyPatientsContext-dependent mechanismsCells
2017
Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer
Gettinger S, Choi J, Hastings K, Truini A, Datar I, Sowell R, Wurtz A, Dong W, Cai G, Melnick MA, Du VY, Schlessinger J, Goldberg SB, Chiang A, Sanmamed MF, Melero I, Agorreta J, Montuenga LM, Lifton R, Ferrone S, Kavathas P, Rimm DL, Kaech SM, Schalper K, Herbst RS, Politi K. Impaired HLA Class I Antigen Processing and Presentation as a Mechanism of Acquired Resistance to Immune Checkpoint Inhibitors in Lung Cancer. Cancer Discovery 2017, 7: cd-17-0593. PMID: 29025772, PMCID: PMC5718941, DOI: 10.1158/2159-8290.cd-17-0593.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsPatient-derived xenograftsHLA class ILung cancerClass ICell surface HLA class ILung cancer mouse modelPD-1 blockadeStandard treatment algorithmCancer mouse modelLung cancer samplesDefective antigen processingCheckpoint inhibitorsPD-1Treatment algorithmMouse modelAntagonistic antibodiesDiverse malignanciesAntigen processingCancer samplesB2MHomozygous lossTumorsCancerRecurrent mutationsAssessing Tumor-Infiltrating Lymphocytes in Solid Tumors
Hendry S, Salgado R, Gevaert T, Russell PA, John T, Thapa B, Christie M, van de Vijver K, Estrada MV, Gonzalez-Ericsson PI, Sanders M, Solomon B, Solinas C, Van den Eynden GGGM, Allory Y, Preusser M, Hainfellner J, Pruneri G, Vingiani A, Demaria S, Symmans F, Nuciforo P, Comerma L, Thompson EA, Lakhani S, Kim SR, Schnitt S, Colpaert C, Sotiriou C, Scherer SJ, Ignatiadis M, Badve S, Pierce RH, Viale G, Sirtaine N, Penault-Llorca F, Sugie T, Fineberg S, Paik S, Srinivasan A, Richardson A, Wang Y, Chmielik E, Brock J, Johnson DB, Balko J, Wienert S, Bossuyt V, Michiels S, Ternes N, Burchardi N, Luen SJ, Savas P, Klauschen F, Watson PH, Nelson BH, Criscitiello C, O’Toole S, Larsimont D, de Wind R, Curigliano G, André F, Lacroix-Triki M, van de Vijver M, Rojo F, Floris G, Bedri S, Sparano J, Rimm D, Nielsen T, Kos Z, Hewitt S, Singh B, Farshid G, Loibl S, Allison KH, Tung N, Adams S, Willard-Gallo K, Horlings HM, Gandhi L, Moreira A, Hirsch F, Dieci MV, Urbanowicz M, Brcic I, Korski K, Gaire F, Koeppen H, Lo A, Giltnane J, Rebelatto MC, Steele KE, Zha J, Emancipator K, Juco JW, Denkert C, Reis-Filho J, Loi S, Fox SB. Assessing Tumor-Infiltrating Lymphocytes in Solid Tumors. Advances In Anatomic Pathology 2017, 24: 311-335. PMID: 28777143, PMCID: PMC5638696, DOI: 10.1097/pap.0000000000000161.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBiopsyBrain NeoplasmsCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellEndometrial NeoplasmsFemaleGastrointestinal NeoplasmsHead and Neck NeoplasmsHumansImmunohistochemistryLung NeoplasmsLymphocytes, Tumor-InfiltratingMelanomaMesotheliomaOvarian NeoplasmsPathologyPhenotypePredictive Value of TestsSkin NeoplasmsSquamous Cell Carcinoma of Head and NeckUrogenital NeoplasmsConceptsTumor-infiltrating lymphocytesDifferent tumor typesSolid tumorsTumor typesTIL assessmentImmune responsePrimary brain tumorsCommon solid tumorsInvasive breast carcinomaRoutine clinical biomarkersWorking Group guidelinesPrognostic implicationsBreast carcinomaGroup guidelinesGynecologic systemGastrointestinal tractSimple biomarkerBrain tumorsGenitourinary systemPredictive valueClinical biomarkersStandardized methodologyTumorsAvailable evidenceImmunotherapyEffects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial.
Pelekanou V, Barlow W, von Wahlde M, Wasserman B, Lo Y, Hayes D, Hortobagyi G, Gralow J, Tripathy D, Livingston R, Porter P, Nahleh Z, Rimm D, Pusztai L. Effects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial. Journal Of Clinical Oncology 2017, 35: 519-519. DOI: 10.1200/jco.2017.35.15_suppl.519.Peer-Reviewed Original ResearchPD-L1 expressionNeoadjuvant chemotherapyNAC armTIL countClinical trialsImmune parametersNAC samplesBaseline PD-L1 expressionPathologic complete response rateDose-dense doxorubicinComplete response ratePD-L1 immunohistochemistryHER2-negative casesMinority of casesNab-paclitaxelResidual diseaseMean changeResponse rateLogistic regressionTILsBaselineEpithelial cellsHigh PCRChemotherapyTumors
2016
Non-malignant respiratory epithelial cells preferentially proliferate from resected non-small cell lung cancer specimens cultured under conditionally reprogrammed conditions
Gao B, Huang C, Kernstine K, Pelekanou V, Kluger Y, Jiang T, Peters-Hall JR, Coquelin M, Girard L, Zhang W, Huffman K, Oliver D, Kinose F, Haura E, Teer JK, Rix U, Le AT, Aisner DL, Varella-Garcia M, Doebele RC, Covington KR, Hampton OA, Doddapaneni HV, Jayaseelan JC, Hu J, Wheeler DA, Shay JW, Rimm DL, Gazdar A, Minna JD. Non-malignant respiratory epithelial cells preferentially proliferate from resected non-small cell lung cancer specimens cultured under conditionally reprogrammed conditions. Oncotarget 2016, 5: 11114-11126. PMID: 28052041, PMCID: PMC5355251, DOI: 10.18632/oncotarget.14366.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsAdultAgedAged, 80 and overBase SequenceCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationCells, CulturedCoculture TechniquesDNA Copy Number VariationsDNA Mutational AnalysisEpithelial CellsFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedMutationRespiratory MucosaTumor Cells, CulturedConceptsNon-small cell lung cancerRespiratory epithelial cellsNon-malignant lungCell lung cancerCRC culturesLung cancerEpithelial cellsResected non-small cell lung cancerPrimary lung cancerNon-malignant samplesLung epithelial cellsRho-kinase inhibitorNon-malignant cellsPrimary NSCLCPrimary tumorDiploid patternOriginal tumorTumor specimensTumor tissueTumorsKinase inhibitorsCancerCancer cellsMRNA expression profilesSmall subpopulationCopy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma
Wilson MA, Zhao F, Khare S, Roszik J, Woodman SE, D'Andrea K, Wubbenhorst B, Rimm DL, Kirkwood JM, Kluger HM, Schuchter LM, Lee SJ, Flaherty KT, Nathanson KL. Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma. Clinical Cancer Research 2016, 22: 374-382. PMID: 26307133, PMCID: PMC4821426, DOI: 10.1158/1078-0432.ccr-15-1162.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic Combined Chemotherapy ProtocolsCarboplatinDisease-Free SurvivalDNA Copy Number VariationsDNA Mutational AnalysisDouble-Blind MethodGenes, rasHumansMelanomaMutationNeoplasm StagingNiacinamidePaclitaxelPhenylurea CompoundsProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-metSorafenibTreatment OutcomeConceptsProgression-free survivalGene copy gainOverall survivalImproved progression-free survivalCopy gainImproved overall survivalGenomic alterationsCancer Genome Atlas (TCGA) datasetImproved treatment responseClinical outcomesMET amplificationV600KCCND1 amplificationTreatment responseMelanoma pathogenesisV600E mutationCurrent FDAPretreatment samplesBRAF geneTumor samplesPatientsSorafenibTherapyTumorsAtlas dataset
2015
Dissecting the tumor micro-environment in triple negative breast cancer identifies a mutually exclusive expression pattern of the immune co-inhibitory molecules B7-H4 and PD-L1
Shaffer D, Cortez-Retamozo V, Nagashima K, Zi T, Shu C, Feldman I, Neumeister V, Smith J, Zafari M, Larson R, Silver M, Mabry R, Briskin M, Novobrantseva T, Rimm D, Sathyanarayanan S. Dissecting the tumor micro-environment in triple negative breast cancer identifies a mutually exclusive expression pattern of the immune co-inhibitory molecules B7-H4 and PD-L1. Journal For ImmunoTherapy Of Cancer 2015, 3: o17. PMCID: PMC4645464, DOI: 10.1186/2051-1426-3-s2-o17.Peer-Reviewed Original Research
2014
Whole-Exome Sequencing Characterizes the Landscape of Somatic Mutations and Copy Number Alterations in Adrenocortical Carcinoma
Juhlin CC, Goh G, Healy JM, Fonseca AL, Scholl UI, Stenman A, Kunstman JW, Brown TC, Overton JD, Mane SM, Nelson-Williams C, Bäckdahl M, Suttorp AC, Haase M, Choi M, Schlessinger J, Rimm DL, Höög A, Prasad ML, Korah R, Larsson C, Lifton RP, Carling T. Whole-Exome Sequencing Characterizes the Landscape of Somatic Mutations and Copy Number Alterations in Adrenocortical Carcinoma. The Journal Of Clinical Endocrinology & Metabolism 2014, 100: e493-e502. PMID: 25490274, PMCID: PMC5393505, DOI: 10.1210/jc.2014-3282.Peer-Reviewed Original ResearchConceptsAdrenocortical carcinomaSomatic mutationsCopy number alterationsNumber alterationsNonsynonymous somatic mutationsWnt pathway dysregulationHomozygous deletionMajority of casesPotential disease-causing mutationsWhole-exome sequencingUnderlying somatic mutationsLethal malignancyPathway dysregulationTumorsExome sequencingFocal CNAsDisease-causing mutationsCarcinomaTERT locusZNRF3Recurrent CNAsAlterationsNormal samplesTP53Unknown role
2013
Pin1 modulates ERα levels in breast cancer through inhibition of phosphorylation-dependent ubiquitination and degradation
Rajbhandari P, Schalper KA, Solodin NM, Ellison-Zelski SJ, Ping Lu K, Rimm DL, Alarid ET. Pin1 modulates ERα levels in breast cancer through inhibition of phosphorylation-dependent ubiquitination and degradation. Oncogene 2013, 33: 1438-1447. PMID: 23542176, PMCID: PMC3815749, DOI: 10.1038/onc.2013.78.Peer-Reviewed Original ResearchConceptsERα protein levelsERα proteinBreast cancerERα-positive breast cancerProtein levelsPotential surrogate markerRetrospective cohortSurrogate markerBreast carcinomaTherapy decisionsERα levelsESR1 levelsERα ubiquitinationCertain tumorsHuman tumorsDiscordant levelsESR1Pin1 levelsReceptor interactionUbiquitin-proteasome pathwayReceptor degradationImportant biomarkerTumorsCancerTransactivation function
2012
In situ measurement of miR-205 in malignant melanoma tissue supports its role as a tumor suppressor microRNA
Hanna JA, Hahn L, Agarwal S, Rimm DL. In situ measurement of miR-205 in malignant melanoma tissue supports its role as a tumor suppressor microRNA. Laboratory Investigation 2012, 92: 1390-1397. PMID: 22890556, PMCID: PMC3460033, DOI: 10.1038/labinvest.2012.119.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnalysis of VarianceBiomarkers, TumorCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGp100 Melanoma AntigenHumansIn Situ HybridizationMaleMelanomaMicroRNAsMiddle AgedPrognosisRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionRNA, NeoplasmS100 ProteinsSkin NeoplasmsTissue Array AnalysisConceptsMiR-205 levelsMiR-205 expressionMiR-205Shorter melanoma-specific survivalMelanoma-specific survivalMalignant melanoma tissuesPrimary melanoma specimensTypes of cancerImmunofluorescent assessmentBreslow depthAggressive tumorsWorse outcomesPrimary melanomaTumor suppressor miRNADiscovery cohortMelanoma specimensMultivariate analysisMelanoma tissuesQuantitative immunofluorescenceTumorsLow expressionHuman tumorsUse of miRNAsSuppressor miRNAAQUA method
2011
Targeting Androgen Receptor in Estrogen Receptor-Negative Breast Cancer
Ni M, Chen Y, Lim E, Wimberly H, Bailey ST, Imai Y, Rimm DL, Liu XS, Brown M. Targeting Androgen Receptor in Estrogen Receptor-Negative Breast Cancer. Cancer Cell 2011, 20: 119-131. PMID: 21741601, PMCID: PMC3180861, DOI: 10.1016/j.ccr.2011.05.026.Peer-Reviewed Original ResearchMeSH KeywordsAndrogensAnilidesAnimalsBeta CateninBreast NeoplasmsCell Line, TumorCell ProliferationDihydrotestosteroneFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHepatocyte Nuclear Factor 3-alphaHumansMiceNitrilesReceptor, ErbB-2Receptors, AndrogenReceptors, EstrogenSignal TransductionTosyl CompoundsTranscriptional ActivationUp-RegulationWnt ProteinsXenograft Model Antitumor AssaysConceptsAndrogen receptorBreast cancerEstrogen receptorER-/HER2Estrogen receptor-negative breast cancerReceptor-negative breast cancerBreast cancer growthER- breast tumorsPotential therapeutic approachTumor cell growthAndrogen-regulated gene expressionEndocrine therapyER statusTherapeutic approachesAR cistromeBreast tumorsCancer growthDirect transcriptional inductionCancerHER2Ligand-dependent activationReceptorsSpecific targetingTumorsCell growthOptimal tumor sampling for immunostaining of biomarkers in breast carcinoma
Tolles J, Bai Y, Baquero M, Harris LN, Rimm DL, Molinaro AM. Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma. Breast Cancer Research 2011, 13: r51. PMID: 21592345, PMCID: PMC3218938, DOI: 10.1186/bcr2882.Peer-Reviewed Original ResearchConceptsWhole tissue sectionsBreast carcinomaEstrogen receptorBiomarker expressionTumor biomarker expressionAmount of tumorTissue sectionsEvidence-based standardsHeterogeneous markersTherapeutic responseHER-2Optimal tumorBreast biopsyBreast tumorsClinical implicationsMAP-tauQuantitative immunofluorescenceClinical useLevel of expressionCarcinomaImmunostaining assaysBiomarkersTumorsTissue samplesBiomarker heterogeneity
2009
DNA Hypermethylation of ESR1 and PGR in Breast Cancer: Pathologic and Epidemiologic Associations
Gaudet MM, Campan M, Figueroa JD, Yang XR, Lissowska J, Peplonska B, Brinton LA, Rimm DL, Laird PW, Garcia-Closas M, Sherman ME. DNA Hypermethylation of ESR1 and PGR in Breast Cancer: Pathologic and Epidemiologic Associations. Cancer Epidemiology Biomarkers & Prevention 2009, 18: 3036-3043. PMID: 19861523, PMCID: PMC2783691, DOI: 10.1158/1055-9965.epi-09-0678.Peer-Reviewed Original ResearchConceptsBreast cancerPopulation-based case-control studyBreast cancer risk factorsPromoter CLevels of ERalphaPR-negative tumorsInvasive breast cancerCancer risk factorsCase-control studyPercentage of tumorsNegative breast cancerTumor tissue coresImproved risk predictionLower ERalphaTumor characteristicsPR expressionProgesterone receptorEpidemiologic associationRisk factorsInverse associationDNA hypermethylationPR levelsMost tumorsReceptor silencingTumorsDefining Molecular Phenotypes of Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma
Weinberger PM, Yu Z, Kountourakis P, Sasaki C, Haffty BG, Kowalski D, Merkley MA, Rimm DL, Camp RL, Psyrri A. Defining Molecular Phenotypes of Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma. Otolaryngology 2009, 141: 382-389. PMID: 19716018, DOI: 10.1016/j.otohns.2009.04.014.Peer-Reviewed Original ResearchConceptsOropharyngeal squamous cell carcinomaSquamous cell carcinomaCell carcinomaHuman Papillomavirus–Associated Oropharyngeal Squamous Cell CarcinomaP16 expressionTertiary care academic medical centerDNA presenceHPV DNA presenceVascular endothelial growth factorCross-sectional studyAcademic medical centerEndothelial growth factorEpidermal growth factor receptorMolecular phenotypesGrowth factor receptorOSCC specimensCervical cancerUnsupervised hierarchical clusteringMedical CenterDifferent molecular phenotypesTumorsGrowth factorExpression patternsFactor receptorProtein expression
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