2017
Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance
Pelekanou V, Carvajal-Hausdorf DE, Altan M, Wasserman B, Carvajal-Hausdorf C, Wimberly H, Brown J, Lannin D, Pusztai L, Rimm DL. Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance. Breast Cancer Research 2017, 19: 91. PMID: 28784153, PMCID: PMC5547502, DOI: 10.1186/s13058-017-0884-8.Peer-Reviewed Original ResearchConceptsStromal tumor-infiltrating lymphocytesPD-L1 expressionTumor-infiltrating lymphocytesRecurrence-free survivalNeoadjuvant chemotherapyResidual cancer tissueTIL countBreast cancerCancer tissuesDeath ligand 1 (PD-L1) protein expressionNode-positive breast cancerImproved recurrence-free survivalPD-L1 protein expressionHigher TIL countsPD-L1 statusProtein expressionBreast cancer patientsBreast cancer tissuesPost-treatment samplesPrechemotherapy samplesTIL infiltrationResidual cancerImmune markersResidual diseasePatient cohortWhole-exome sequencing and immune profiling of early-stage lung adenocarcinoma with fully annotated clinical follow-up
Kadara H, Choi M, Zhang J, Parra ER, Rodriguez-Canales J, Gaffney SG, Zhao Z, Behrens C, Fujimoto J, Chow C, Yoo Y, Kalhor N, Moran C, Rimm D, Swisher S, Gibbons DL, Heymach J, Kaftan E, Townsend JP, Lynch TJ, Schlessinger J, Lee J, Lifton RP, Wistuba II, Herbst RS. Whole-exome sequencing and immune profiling of early-stage lung adenocarcinoma with fully annotated clinical follow-up. Annals Of Oncology 2017, 28: 75-82. PMID: 27687306, PMCID: PMC5982809, DOI: 10.1093/annonc/mdw436.Peer-Reviewed Original ResearchConceptsRecurrence-free survivalPoor recurrence-free survivalWhole-exome sequencingEarly-stage lung adenocarcinomaMutant lung adenocarcinomaLung adenocarcinomaImmune markersClinical outcomesExact testNatural killer cell infiltrationProportional hazards regression modelsGranzyme B levelsImmune marker analysisImmune profiling analysisPD-L1 expressionImmune-based therapiesTumoral PD-L1Hazards regression modelsKRAS mutant tumorsNormal lung tissuesMajority of deathsFisher's exact testHigh mutation burdenAnalysis of immunophenotypeRelevant molecular markersMutation profiles in early-stage lung squamous cell carcinoma with clinical follow-up and correlation with markers of immune function
Choi M, Kadara H, Zhang J, Parra ER, Rodriguez-Canales J, Gaffney SG, Zhao Z, Behrens C, Fujimoto J, Chow C, Kim K, Kalhor N, Moran C, Rimm D, Swisher S, Gibbons DL, Heymach J, Kaftan E, Townsend JP, Lynch TJ, Schlessinger J, Lee J, Lifton RP, Herbst RS, Wistuba II. Mutation profiles in early-stage lung squamous cell carcinoma with clinical follow-up and correlation with markers of immune function. Annals Of Oncology 2017, 28: 83-89. PMID: 28177435, PMCID: PMC6246501, DOI: 10.1093/annonc/mdw437.Peer-Reviewed Original ResearchConceptsLung squamous cell carcinomaEarly stage lung squamous cell carcinomaNon-small cell lung cancerSquamous cell carcinomaWhole-exome sequencingImmune markersClinical outcomesCell carcinomaPIK3CA mutationsExact testPoor recurrence-free survivalProportional hazards regression modelsTumoral PD-L1 expressionPD-L1 expressionRecurrence-free survivalCell lung cancerComprehensive immune profilingTP53 mutant tumorsHazards regression modelsNormal lung tissuesFisher's exact testLUSC cohortAdjuvant therapyImmune profilingPoor prognosis
2016
Validation of the IHC4 Breast Cancer Prognostic Algorithm Using Multiple Approaches on the Multinational TEAM Clinical Trial
Bartlett JM, Christiansen J, Gustavson M, Rimm DL, Piper T, van de Velde CJ, Hasenburg A, Kieback DG, Putter H, Markopoulos CJ, Dirix LY, Seynaeve C, Rea DW. Validation of the IHC4 Breast Cancer Prognostic Algorithm Using Multiple Approaches on the Multinational TEAM Clinical Trial. Archives Of Pathology & Laboratory Medicine 2016, 140: 66-74. PMID: 26717057, DOI: 10.5858/arpa.2014-0599-oa.Peer-Reviewed Original ResearchConceptsHazard ratioBreast cancerResidual riskMultivariate Cox proportional hazardsDistant recurrence-free survivalClinical prognostic factorsEarly breast cancerRecurrence-free survivalSignificant prognostic valueCox proportional hazardsHER2/neuIHC4 scoreHormone therapyNodal statusTrial cohortPrognostic factorsPrognostic valueClinical trialsKi-67Proportional hazardsMultivariate analysisTEAM trialBiomarker expressionQuantitative immunofluorescenceResidual risk assessment
2007
Quantitative Measurement of Epidermal Growth Factor Receptor Is a Negative Predictive Factor for Tamoxifen Response in Hormone Receptor–Positive Premenopausal Breast Cancer
Giltnane JM, Rydén L, Cregger M, Bendahl PO, Jirström K, Rimm DL. Quantitative Measurement of Epidermal Growth Factor Receptor Is a Negative Predictive Factor for Tamoxifen Response in Hormone Receptor–Positive Premenopausal Breast Cancer. Journal Of Clinical Oncology 2007, 25: 3007-3014. PMID: 17634479, DOI: 10.1200/jco.2006.08.9938.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkersBiopsy, NeedleBreast NeoplasmsDrug Resistance, NeoplasmErbB ReceptorsEstrogen AntagonistsFemaleHumansImmunohistochemistryMiddle AgedMultivariate AnalysisPredictive Value of TestsPremenopauseProbabilityProportional Hazards ModelsReceptors, EstrogenRisk AssessmentSensitivity and SpecificitySurvival AnalysisTamoxifenConceptsEpidermal growth factor receptorER-positive patientsEGFR expressionBreast cancerEstrogen receptorTamoxifen-treated patientsEarly breast cancerRecurrence-free survivalRandomized clinical trialsLow EGFR expressionSignificant beneficial effectAdjuvant tamoxifenGrowth factor receptorEndocrine therapyTamoxifen responseTamoxifen treatmentClinical trialsSitu protein expressionUntreated groupTissue microarrayPatientsBeneficial effectsProtein expressionFactor receptorTreatment effects