2024
The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably?
Vidal J, Tsiknakis N, Staaf J, Bosch A, Ehinger A, Nimeus E, Salgado R, Bai Y, Rimm D, Hartman J, Acs B. The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably? EClinicalMedicine 2024, 78: 102928. DOI: 10.1016/j.eclinm.2024.102928.Peer-Reviewed Original ResearchTriple-negative breast cancerTumor-infiltrating lymphocytesBreast Cancer Research FoundationPrognostic validityMetastatic triple-negative breast cancerDisease-free survival endpointsHazard ratioHost anti-tumor immunityScored tumor infiltrating lymphocytesTumor-infiltrating lymphocyte scoresTriple-negative breast cancer patientsYears median follow-upTumour-infiltrating lymphocyte assessmentAnti-tumor immunityMedian follow-upIndependent prospective cohortTNBC tumorsPrognostic potentialProspective cohortBreast cancerPrognostic performanceAnalytic cohortFollow-upSchool of MedicineSwedish Society for Medical Research
2020
PD-L1 tumor proportion score and clinical benefit from first-line pembrolizumab in patients with advanced nonsquamous versus squamous non-small cell lung cancer (NSCLC).
Doroshow D, Wei W, Zugazagoitia J, Robbins C, Gupta S, Adamson B, Rimm D. PD-L1 tumor proportion score and clinical benefit from first-line pembrolizumab in patients with advanced nonsquamous versus squamous non-small cell lung cancer (NSCLC). Journal Of Clinical Oncology 2020, 38: 9539-9539. DOI: 10.1200/jco.2020.38.15_suppl.9539.Peer-Reviewed Original ResearchPD-L1 tumor proportion scoreNon-small cell lung cancerTumor proportion scoreMedian overall survivalFirst-line pembrolizumabOverall survivalLonger OSHazard ratioPD-L1Predictive biomarkersNS patientsProportion scoreSquamous non-small cell lung cancerAppropriate predictive biomarkersUnadjusted hazard ratioNSCLC tumor cellsLonger overall survivalCell lung cancerCheckpoint inhibitor useDe-identified databaseHistology interactionNonsquamous cancerSQ patientsSquamous histologyPrimary endpoint
2018
Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers
Lu C, Romo-Bucheli D, Wang X, Janowczyk A, Ganesan S, Gilmore H, Rimm D, Madabhushi A. Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation 2018, 98: 1438-1448. PMID: 29959421, PMCID: PMC6214731, DOI: 10.1038/s41374-018-0095-7.Peer-Reviewed Original ResearchConceptsEarly-stage estrogen receptor-positive breast cancerEstrogen receptor-positive breast cancerReceptor-positive breast cancerBreast cancerRank sum testHazard ratioHistomorphometric featuresShort-term overall survivalLymph node negativeTissue microarray cohortPoor survival outcomesUnivariate survival analysisWilcoxon rank sum testAdjuvant chemotherapyMicroarray cohortOverall survivalNode negativeT stageHistology gradePatient survivalSurvival outcomesPathological parametersNuclear gradeOutcome groupPoor survival
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
2012
Validation of IHC4 algorithms for prediction of risk of recurrence in early breast cancer using both conventional and quantitative IHC approaches.
Christiansen J, Bartlett J, Gustavson M, Rimm D, Robson T, Van De Velde C, Hasenburg A, Kieback D, Putter H, Markopoulos C, Dirix L, Seynaeve C, Rea D. Validation of IHC4 algorithms for prediction of risk of recurrence in early breast cancer using both conventional and quantitative IHC approaches. Journal Of Clinical Oncology 2012, 30: 517-517. DOI: 10.1200/jco.2012.30.15_suppl.517.Peer-Reviewed Original ResearchEarly breast cancerBreast cancerDAB IHCHazard ratioDisease recurrenceCox proportional hazard modelingKaplan-Meier survival analysisCox proportional hazards modelC-index calculationClinical prognostic factorsProportional hazard modelingProportional hazards modelResidual riskHormone therapyIndependent predictorsPrognostic factorsPrediction of riskRisk markersClinical utilityHazards modelRecurrence riskRecurrencePathology studiesSurvival analysisMultivariate analysisAssociation between the nuclear to cytoplasmic ratio of p27 and the efficacy of adjuvant polychemotherapy in early breast cancer
Andre F, Conforti R, Moeder CB, Mauguen A, Arnedos M, Berrada N, Delaloge S, Tomasic G, Spielmann M, Esteva FJ, Rimm DL, Michiels S. Association between the nuclear to cytoplasmic ratio of p27 and the efficacy of adjuvant polychemotherapy in early breast cancer. Annals Of Oncology 2012, 23: 2059-2064. PMID: 22241898, DOI: 10.1093/annonc/mdr569.Peer-Reviewed Original ResearchConceptsAnthracycline-based chemotherapyEarly breast cancerNuclear/cytoplasmic (N/C) ratioCytoplasmic ratioAdjuvant chemotherapyHazard ratioBreast cancerP27 expressionNuclear expressionAdjusted hazard ratioNuclear p27 expressionAdjuvant polychemotherapyUntreated armPrognostic parametersTissue microarrayChemotherapyPatientsPredictive valueImmunofluorescence assaysQuantitative immunofluorescence assaysEfficacyP27CancerExpressionPolychemotherapy
2011
Differential expression of arrestins is a predictor of breast cancer progression and survival
Michal AM, Peck AR, Tran TH, Liu C, Rimm DL, Rui H, Benovic JL. Differential expression of arrestins is a predictor of breast cancer progression and survival. Breast Cancer Research And Treatment 2011, 130: 791-807. PMID: 21318602, PMCID: PMC3156829, DOI: 10.1007/s10549-011-1374-9.Peer-Reviewed Original ResearchConceptsBreast cancer progressionBreast cancerCancer progressionArrestin2 expressionLuminal linesMyoepithelial cellsNormal human breast tissueMetastatic breast cancerLymph node metastasisPoor clinical outcomeIndependent prognostic markerPrimary breast tumorsBreast cancer cell linesG protein-coupled receptorsArrestin2 levelsPositive lymphCancer cell linesHazard ratioHuman breast tissueProtein-coupled receptorsNode metastasisClinical outcomesDuctal carcinomaTumor sizeNuclear grade
2009
Predictive value of p27 for the benefit of adjuvant anthracycline-based chemotherapy in early breast cancer.
Conforti R, Moeder C, Tomasic G, Boulet T, Nahta R, Yuan L, Spielmann M, Delaloge S, Michiels S, Rimm D, Esteva F, Andre F. Predictive value of p27 for the benefit of adjuvant anthracycline-based chemotherapy in early breast cancer. Cancer Research 2009, 69: 6063. DOI: 10.1158/0008-5472.sabcs-6063.Peer-Reviewed Original ResearchEarly breast cancerHazard ratioInstitut Gustave RoussyPredictive valueOverall survivalControl armBreast cancerAdjuvant anthracycline-based chemotherapyHR of deathCytoplasmic expressionTumor samplesAdjusted hazard ratioAnthracycline-based chemotherapyDisease-free survivalBreast cancer patientsCox regression modelInteraction p valueUnit increaseAdjuvant anthracyclinesAdjuvant treatmentCyclin-dependent kinase inhibitorEGFR tumorsER expressionRandomized trialsPredictive factorsMultiplexed AQUA-based assessment of SWOG 9313 shows prognostic value of continuous ER, PR and HER2 assessment.
Rimm D, Barlow W, Harigopal M, Tedeschi G, Peggy P, Yeh I, Haskell C, Livingston R, Hortobagyi G, Hayes D. Multiplexed AQUA-based assessment of SWOG 9313 shows prognostic value of continuous ER, PR and HER2 assessment. Cancer Research 2009, 69: 704. DOI: 10.1158/0008-5472.sabcs-704.Peer-Reviewed Original ResearchDisease-free survivalEstrogen receptorHER2 expressionWorse disease-free survivalPoor disease-free survivalContinuous variablesLow HER2 expressionPoor prognostic markerBreast cancer casesBreast cancer therapyBi-phasic effectSame slideHazard ratioMenopausal statusNode statusSequential doxorubicinPoor outcomePrognostic valueTumor sizePrognostic informationWorse outcomesPrognostic markerBreast cancerCancer casesTissue microarray
2006
Quantitative In situ Analysis of β-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome
Dolled-Filhart M, McCabe A, Giltnane J, Cregger M, Camp RL, Rimm DL. Quantitative In situ Analysis of β-Catenin Expression in Breast Cancer Shows Decreased Expression Is Associated with Poor Outcome. Cancer Research 2006, 66: 5487-5494. PMID: 16707478, DOI: 10.1158/0008-5472.can-06-0100.Peer-Reviewed Original ResearchConceptsProgesterone receptorEstrogen receptorPrognostic valueBreast cancerKi-67X-tile softwareProportional hazards modelBreast cancer prognosisBreast cancer showBreast cancer tumorsΒ-catenin expressionYale Pathology archivesHazard ratioNode statusPoor outcomeTumor sizePrognostic markerWorse outcomesImmunohistochemical studyNuclear gradeCase cohortLow-level expressionPathology archivesTissue microarrayBeta-catenin expression
2005
β-Catenin Functions Mainly as an Adhesion Molecule in Patients with Squamous Cell Cancer of the Head and Neck
Yu Z, Weinberger PM, Provost E, Haffty BG, Sasaki C, Joe J, Camp RL, Rimm DL, Psyrri A. β-Catenin Functions Mainly as an Adhesion Molecule in Patients with Squamous Cell Cancer of the Head and Neck. Clinical Cancer Research 2005, 11: 2471-2477. PMID: 15814622, DOI: 10.1158/1078-0432.ccr-04-2199.Peer-Reviewed Original ResearchConceptsSquamous cell cancerCyclin D1 levelsCell cancerNeck squamous cell cancerAdhesion moleculesD1 levelsDisease-free survivalIndependent prognostic factorLocal recurrence rateKaplan-Meier analysisMembranous expression patternLow cyclin D1Cancer tissue microarrayIncidence of mutationsProtein expression levelsMean followHazard ratioPrognostic factorsLocal recurrencePathologic dataCox regressionRecurrence rateMetastasis stageTissue microarrayBeta-catenin expression